running

src/code/00000.js

@@ -1,7 +1,8 @@
-arr = [1, 2, 3]
 
-arr.push("")
-arr.push(undefined)
-console.log(arr)
 
-console.log(arr.join(','))
+function keepAlnum_for_gmgn(string) {
+    return string.replace(/[^a-zA-Z0-9\.\s\+\-]/g, ' ');
+}
+console.log(keepAlnum("Hello, World! 123")); // 输出: "Hello  World  123"
+console.log(keepAlnum("Special@#$%^&*()Chars")); // 输出: "Special       Chars"
+console.log(keepAlnum("Keep.alnum+and-space")); // 输出: "Keep.alnum+and-space"

src/code/8004.py

@@ -1,12 +1,10 @@
+import pandas as pd
 
+# 示例数据
+data = {'date': ['5h', '8h', '6h', '2023h', '99h'],'dddd': ['5h', '8h', '6h', '2023h', '99h']}
+df = pd.DataFrame(data)
 
-arr0 = [0,1,2,3]
-arr1 = [2,3,4,5]
-arr1 = [ 5, 7,8]
-res = set(arr0).intersection(arr1)
 
-print(res)
-if (res):
-    print(222)
-else:
-    print(333)
+str_text_df = df.to_csv(index=False).strip().replace(","," , ")
+
+print(str_text_df)

src/code/base_2002_3001_get_dalao_ori_pnl_gmgn_playwright_firefox.py

@@ -9,7 +9,21 @@ import datetime
 import asyncio
 import pathlib
 import shutil
+import inspect
+
+def custom_print(*args, **kwargs):
+    # 获取当前调用的行号
+    frame = inspect.currentframe().f_back
+    line_no = frame.f_lineno
+    # 获取文件名
+    # filename = frame.f_code.co_filename
+    
+    # 打印行号和文件名
+    print(f"[{line_no}]", *args, **kwargs)
 
+# 示例用法
+custom_print("Hello, world!")
+ 
 from base_class import BaseVariableFunction
 from base_class import *
 baseclass = BaseVariableFunction(__file__)
@@ -23,8 +37,17 @@ old_print = print
  
 
 def timestamped_print(*args, **kwargs):
+
+    frame = inspect.currentframe().f_back
+    line_no = frame.f_lineno
+    # 获取文件名
+    # filename = frame.f_code.co_filename
+    
+    # 打印行号和文件名
+    # print(f"[{line_no}]", *args, **kwargs)
+    
     old_print(datetime.datetime.utcnow().replace(
-        microsecond=0), *args, **kwargs)
+        microsecond=0),f"[:{line_no}]", *args, **kwargs)
 
 
 print = timestamped_print
@@ -86,11 +109,12 @@ async def do_some_thing(playwright, cur_arr_str_dalaoaddress, cur_arr_str_dalaoU
 
 
     # browser =  playwright.chromium.launch(headless=True)
-    # context = await playwright.chromium.launch_persistent_context(user_data_dir=USER_DIR_PATH, accept_downloads=True, headless=False)
-    context = await playwright.firefox.launch_persistent_context(user_data_dir=USER_DIR_PATH , headless=False)
+    context = await playwright.chromium.launch_persistent_context(user_data_dir=USER_DIR_PATH, accept_downloads=True, headless=False)
+    # context = await playwright.firefox.launch_persistent_context(user_data_dir=USER_DIR_PATH , headless=False)
     # context = await playwright.chromium.launch_persistent_context(user_data_dir=USER_DIR_PATH , headless=False)
     # context = browser.new_context()
     context.set_default_timeout(28000)
+    await asyncio.sleep(17)
     # context = await browser.new_context()
     arr_page = [None]*dalao_len
     
@@ -137,20 +161,27 @@ async def handle_one_page( idx_page,context, arr_page, str_dalaoaddress , str_da
         page =  arr_page[idx_page]
         sleep_time = random.randint(10,20)
         sleep_time=sleep_time/10
+        await asyncio.sleep(5)
 
         await asyncio.sleep(sleep_time)
         
         table = page.locator('div[aria-labelledby="tabs-leftTabs--tab-0"]')
         thead_ = table.locator( 'thead')    
         arr_th =   await thead_.locator('th').all() 
-        th_balance = arr_th[4]  
+        print('arr_th=',arr_th)
+        await asyncio.sleep(115)
+
+        # th_balance = arr_th[4]  
+        
         text_th_balance =await th_balance.text_content()
+        print('text_th_balance=',text_th_balance)
         
         if "USD" in text_th_balance:
             div_sol = th_balance.locator('div:nth-child(2)')
             text_div_sol =await div_sol.text_content()
             print(f"text_div_sol= {text_div_sol}")
             await  div_sol.click()
+        await asyncio.sleep(15)
  
  
         prev_page_height = await page.evaluate(
@@ -193,6 +224,7 @@ async def handle_one_page( idx_page,context, arr_page, str_dalaoaddress , str_da
 
     except Exception as e:
         print("handle_one_page error",e)
+        raise
     if page is not None:
         print(f"str_dalaoaddress= {str_dalaoaddress} close")
         await page.close()
@@ -441,10 +473,11 @@ for str_dalaoaddress in temp_arr_dalaoaddress:
 
     
 
-# arr_str_dalaoaddress = [
-#     "6P4aHkv7oTbwMK6P57sVsejE52jNFeEvYhQMEBpNNN1U",
-#     "JD38n7ynKYcgPpF7k1BhXEeREu1KqptU93fVGy3S624k"
-# ]
+arr_str_dalaoaddress = [
+    "6P4aHkv7oTbwMK6P57sVsejE52jNFeEvYhQMEBpNNN1U",
+    "JD38n7ynKYcgPpF7k1BhXEeREu1KqptU93fVGy3S624k",
+    "3oY1k7u6Gw49QMatX3cgmcMdpxqeY9MnCGAazEQANnPt"
+]
 arr_str_dalaoUrl = [
 f"https://gmgn.ai/sol/address/{str_dalaoaddress}" for str_dalaoaddress in arr_str_dalaoaddress]
 
@@ -456,7 +489,7 @@ set_str_dalaoaddress = set(arr_str_dalaoaddress)
  
 
 dalao_len = 1
-USER_DIR_PATH =  baseclass.browsercookie_path   
+USER_DIR_PATH =  baseclass.browsercookie_path 
 baseclass.makedirpath(USER_DIR_PATH)
 asyncio.run(main())
 

src/code/dune_sql/dune_get_dalao_buy_same_token_And_token_dif.sql

@@ -0,0 +1,271 @@
+-- -- 两个方向
+-- -- 1.获取某些dalao的共同购买的token以及token的购买人数
+-- -- 2.获取某些dalao 针对某些token的购买时间，获取是否是早期购买者
+-- -- 为了节省private 空间 公用一个。
+
+
+ 
+
+-- --第一个方向代码 
+-- --开始 开始 开始 开始 开始 开始 开始 开始 开始
+-- --获取某些dalao的共同购买的token以及token的购买人数
+
+WITH
+    input_address (address) as (
+        values
+            ('5ENKzVezTxEYtZzF1W4mM1s3LjU6b2oBw8af2827ULKb'),
+            ('5FSt9LxycNWfdXFmhuDbYonoGcnBJDjZYvqC3ZuA9RGc'),
+            ('UKCC5vtp2U5281ZSaSqafDbb9aFcrj84BKsf6p5Aqxm'),
+            ('SGd7pJkt1heW4pTWLBHVtMoqaN1Anvvbb5wp5Juktrb'),
+            ('81XZEmB4eYXqdXktnZRVDaiyFbp6hATgygjK98QSbtXq'),
+            ('2oViQCbm1JWWwvvKeq2zsAns1cT48WDTk77aS7ZAPnjJ'),
+            ('EW5o2Nr2oHdr8YbWfdAFkcpxT2bqvi2jdDpaTepvoQNa'),
+            ('EWpftEEZJ7AJyGJprctqc131qQtpjWkoJahM1D9xdTiH'),
+            ('CJT24gYwv6Sadbj6jUb6ESnm6jYYZdBEzZoeH84C35tq'),
+            ('6frSrTT9aarJuBWKE36uBQJDh3VcSHWeP7Hdhar9ap7g'),
+            ('ALNngQwBnooVP41YWGM6yJZSLHTQ3eVZMaAKc9yigWTj'),
+            ('HUzZ1MrEUXrdPJoAnn5B8uTcshwyyXxFW1EqY2dvcVhe'),
+            ('CMGdz9VBDDmc5uoZFxux4Jv1gYxoUW1Xdu8NxfijCTxJ'),
+            ('5BkT4TNnJE7Zq2s3DmGExGSjL7JpJBnxa6atsjARbkxS'),
+            ('ArHmZWQxH3j29X7nw6xzeFnLrYdywnEKz3oE2zpwXHtd'),
+            ('9wYuJBuoBiNDxk97ZmCqdaBjB3gZ1iFnEBU2Jme3phpV'),
+            ('H9kHjTaJqVrrSuZGwJWgQnjyhVmGANpqsA6eoqbbZrTk'),
+            ('2swb9pJ9Ak5TLBsfsBcr5QVCStM5vNZAcyhRY9uZTSi5'),
+            ('DZm7P5hZBLFKzFqy4JzQaxUnWRkrr3AwDMa2kCrGr4Nc'),
+            ('J3ctoNuCEGXD63rf84GfgkXYczt7F6uycpVczzK57MfH'),
+            ('5RANC5iQzzeLFcr1D42Pih4ksUMfa7KXMoCkzoRhujuP'),
+            ('8jzB2HEK322ntFCfzUwajUt9hjYA25L9F8LangTcPfMY'),
+            ('5sEVaCVRRyfWPhw54c4z3h59ZvJ9tL5xK2tYfT4gQnDZ'),
+            ('A2U5owsnFK2jzgBguZCDqXsPzra7ufpYG5N6CFCeQrk6')
+    ),
+    temp_01 AS (
+        SELECT
+            trader_id,
+            block_time,
+            tx_id,
+            token_bought_mint_address as token_address,
+            token_sold_mint_address,
+            (token_bought_amount / 1e6) as token_amount_M,
+            token_sold_amount as sol_amount
+        FROM
+            dex_solana.trades t
+            inner join input_address on (input_address.address = t.trader_id)
+        WHERE
+            (
+                (
+                    -- token_bought_mint_address = 'So11111111111111111111111111111111111111112'
+                    -- OR 
+                    token_sold_mint_address = 'So11111111111111111111111111111111111111112'
+                )
+                and (
+                    -- 购买token数目超过0.5M
+                    token_bought_amount > 0.5 * 1e6
+                    -- token_sold_amount >1
+                )
+                and (
+                    block_time > timestamp '2025-03-01 00:00:00 +08:00'
+                    and block_time < timestamp '2025-03-18 12:00:00 +08:00'
+                )
+            )
+    ),
+    every_trader_goumai_every_token_info as (
+        select
+            trader_id,
+            token_address,
+            min(block_time) as block_time
+            -- ,( to_unixtime(CAST(min(block_time) AS timestamp))-1700000000) AS block_time
+,
+            sum(token_amount_M) as token_amount_M,
+            sum(sol_amount) as sol_amount,
+            count(block_time) as buy_count
+        from
+            temp_01
+        group by
+            trader_id,
+            token_address
+    ),
+    every_token_trader_chiyou_renshu as (
+        select
+            token_address,
+            min(block_time) as min_block_time,
+            max(block_time) as max_block_time,
+            count(*) as trader_number
+        from
+            every_trader_goumai_every_token_info
+        group by
+            token_address
+    ),
+    every_token_trader_chiyou_renshu_he_token_create_time_he_trade_buy_time as (
+        SELECT
+            token_address,
+            min_block_time
+            -- ,max_block_time
+,
+            trader_number,
+            p_c.call_block_time as create_time
+        FROM
+            every_token_trader_chiyou_renshu
+            left join pumpdotfun_solana.pump_call_create p_c on every_token_trader_chiyou_renshu.token_address = p_c.account_mint
+    )
+select
+    *
+from
+    every_token_trader_chiyou_renshu_he_token_create_time_he_trade_buy_time
+where
+    trader_number >= 4
+order by
+    trader_number desc
+ 
+
+-- 第一个方向代码 
+-- 结束 结束 结束 结束 结束 结束 结束 结束 结束
+
+
+
+ 
+
+ 
+
+-- -- --第二个方向代码 
+-- -- --开始 开始 开始 开始 开始 开始 开始 开始 开始
+-- -- --获取某些dalao 针对某些token的购买时间，获取是否是早期购买者
+
+-- WITH
+--     input_address (address) as (
+--         values
+--             ('5ENKzVezTxEYtZzF1W4mM1s3LjU6b2oBw8af2827ULKb'),
+--             ('5FSt9LxycNWfdXFmhuDbYonoGcnBJDjZYvqC3ZuA9RGc'),
+--             ('UKCC5vtp2U5281ZSaSqafDbb9aFcrj84BKsf6p5Aqxm'),
+--             ('SGd7pJkt1heW4pTWLBHVtMoqaN1Anvvbb5wp5Juktrb'),
+--             ('81XZEmB4eYXqdXktnZRVDaiyFbp6hATgygjK98QSbtXq'),
+--             ('2oViQCbm1JWWwvvKeq2zsAns1cT48WDTk77aS7ZAPnjJ'),
+--             ('EW5o2Nr2oHdr8YbWfdAFkcpxT2bqvi2jdDpaTepvoQNa'),
+--             ('EWpftEEZJ7AJyGJprctqc131qQtpjWkoJahM1D9xdTiH'),
+--             ('CJT24gYwv6Sadbj6jUb6ESnm6jYYZdBEzZoeH84C35tq'),
+--             ('6frSrTT9aarJuBWKE36uBQJDh3VcSHWeP7Hdhar9ap7g'),
+--             ('ALNngQwBnooVP41YWGM6yJZSLHTQ3eVZMaAKc9yigWTj'),
+--             ('HUzZ1MrEUXrdPJoAnn5B8uTcshwyyXxFW1EqY2dvcVhe'),
+--             ('CMGdz9VBDDmc5uoZFxux4Jv1gYxoUW1Xdu8NxfijCTxJ'),
+--             ('5BkT4TNnJE7Zq2s3DmGExGSjL7JpJBnxa6atsjARbkxS'),
+--             ('ArHmZWQxH3j29X7nw6xzeFnLrYdywnEKz3oE2zpwXHtd'),
+--             ('9wYuJBuoBiNDxk97ZmCqdaBjB3gZ1iFnEBU2Jme3phpV'),
+--             ('H9kHjTaJqVrrSuZGwJWgQnjyhVmGANpqsA6eoqbbZrTk'),
+--             ('2swb9pJ9Ak5TLBsfsBcr5QVCStM5vNZAcyhRY9uZTSi5'),
+--             ('DZm7P5hZBLFKzFqy4JzQaxUnWRkrr3AwDMa2kCrGr4Nc'),
+--             ('J3ctoNuCEGXD63rf84GfgkXYczt7F6uycpVczzK57MfH'),
+--             ('5RANC5iQzzeLFcr1D42Pih4ksUMfa7KXMoCkzoRhujuP'),
+--             ('8jzB2HEK322ntFCfzUwajUt9hjYA25L9F8LangTcPfMY'),
+--             ('5sEVaCVRRyfWPhw54c4z3h59ZvJ9tL5xK2tYfT4gQnDZ'),
+--             ('A2U5owsnFK2jzgBguZCDqXsPzra7ufpYG5N6CFCeQrk6')
+--     ),
+--     input_token (mint_address) as (
+--         values
+--             ('5CuCQwjejaAyc7Z1HfmzJHfRrrV8HPfPfgaazuzpump'),
+--             ('CKCwS3gq4DHpvAD5FYCZq6qsZjaTv9mp67kYh4Vbpump'),
+--             ('8eq6uKMYtJ2npJC2YGj2LCZ5xKZFX3TuB2LTXB9Epump'),
+--             ('BzBHziaQZqSBKd8DXqrNgsDNd75i7CB5hH1rsQRxpump'),
+--             ('hV7MQkCpjvuTTnPJXPhPXzvmtMxk8A8ct1KPiRMpump'),
+--             ('AhJ2u3o7CK4sPk9WQ2rr8FwG1xSTBMMqkjXZbeqapump'),
+--             ('B92orCCYZ3J5kBzPDNRP9Sj1oC9cx2X289Myateopump'),
+--             ('Ey4tXRVTiLtjZJE33T96KYxJ8TDdVyV7uDn6FuDCpump'),
+--             ('4QYaccriCgnrb3rxpibqv5vj7Wba669YBqvNEVeJpump'),
+--             ('9LTnCiXxqZm29PpeQpzAAHadgWiPBkxESJqUKPSvpump'),
+--             ('HxQVaDCJT5HnRMSE8dFv8sDGdLQ5RSASrccYdBaDpump'),
+--             ('8TcALAM4U7MMnuRiqMBf8pEsdnt94uknpg2jepEgpump'),
+--             ('J8rZcqDBXWCtmz9C4qhdfiRA5ZQQjasa5aeghbnxpump'),
+--             ('Bx8NMNm84Pw6s7N688cWvDr8CDudgjz329vyqkoGpump'),
+--             ('2WLd1HqbPutTh1gowWFzkgGG9PgzVcnvqUs4iNXopump'),
+--             ('BhwwEnvzsEdncGWdDZv2airsw1HZVbRBBGfYhgZfpump'),
+--             ('G8VxZiVvkpbjcvcxMm1btLHjJrdfz9CdqXy44tM9pump'),
+--             ('3DRnsQ5GA2XKk8WJ3yB46KbcRWGtA3E6cgFaqzJWpump'),
+--             ('9zeStqRxC8TfJE71hbTkQV4xBSHc5LFnTUa54K9sGE1i'),
+--             ('6zipf14FCZusfwF8FeyUP851XytF5T55oLdgARE5qyKK')
+--     ),
+--     temp_01 AS (
+--         SELECT
+--             trader_id,
+--             block_time,
+--             tx_id,
+--             token_bought_mint_address as token_address,
+--             token_sold_mint_address,
+--             (token_bought_amount / 1e6) as token_amount_M,
+--             token_sold_amount as sol_amount
+--         FROM
+--             dex_solana.trades t
+--             inner join input_address on (input_address.address = t.trader_id)
+--             inner join input_token on (
+--                 input_token.mint_address = t.token_bought_mint_address
+--             )
+--         WHERE
+--             (
+--                 (
+--                     -- token_bought_mint_address = 'So11111111111111111111111111111111111111112'
+--                     -- OR 
+--                     token_sold_mint_address = 'So11111111111111111111111111111111111111112'
+--                 )
+--                 and (
+--                     -- 购买token数目超过0.5M
+--                     token_bought_amount > 0.5 * 1e6
+--                     -- token_sold_amount >1
+--                 )
+--                 and (
+--                     block_time > timestamp '2025-03-01 00:00:00 +08:00'
+--                     and block_time < timestamp '2025-03-18 12:00:00 +08:00'
+--                 )
+--             )
+--     ),
+--     every_trader_goumai_every_token_info as (
+--         select
+--             trader_id,
+--             token_address,
+--             min(block_time) as block_time,
+--             sum(token_amount_M) as token_amount_M,
+--             sum(sol_amount) as sol_amount,
+--             count(block_time) as buy_count
+--         from
+--             temp_01
+--         group by
+--             trader_id,
+--             token_address
+--     ),
+--     every_token_trader_token_create_time_he_dif_trade_buy_time as (
+--         SELECT
+--             token_address,
+--             trader_id,
+--             (
+--                 to_unixtime(
+--                     CAST(
+--                         every_trader_goumai_every_token_info.block_time AS timestamp
+--                     )
+--                 ) - to_unixtime(CAST(p_c.call_block_time AS timestamp))
+--             ) / 60 AS buy_create_time_diff,
+--             p_c.call_block_time as create_time
+--         FROM
+--             every_trader_goumai_every_token_info
+--             left join pumpdotfun_solana.pump_call_create p_c on every_trader_goumai_every_token_info.token_address = p_c.account_mint
+--     ),
+--     every_token_trader_chiyou_renshu_he_token_create_time_he_dif_trade_buy_time as (
+--         select
+--             *,
+--             COUNT(*) OVER (
+--                 PARTITION BY
+--                     token_address
+--             ) AS trader_number
+--         from
+--             every_token_trader_token_create_time_he_dif_trade_buy_time
+--     )
+-- select
+--     *
+-- from
+--     every_token_trader_chiyou_renshu_he_token_create_time_he_dif_trade_buy_time
+
+
+-- -- 第二个方向代码 
+-- -- 结束 结束 结束 结束 结束 结束 结束 结束 结束
+
+
+
+
+
+
+

src/code/dune_sql/dune_token_owner_transfer_count.sql

@@ -0,0 +1,95 @@
+
+
+
+ 
+
+-- 记录一个token的在某段时间的transfer  次数（count） 最多的wallet ，便于查看这些wallet是什么 ，以后作为过滤address
+
+WITH
+  Exclude_onwer (owner) AS (
+  VALUES
+      ('5Q544fKrFoe6tsEbD7S8EmxGTJYAKtTVhAW5Q5pge4j1'), --  Raydium Authority V4
+      ('BQ72nSv9f3PRyRKCBnHLVrerrv37CYTHm5h3s9VSGQDV'), -- Jupiter Aggregator Authority 1
+      ('2MFoS3MPtvyQ4Wh4M9pdfPjz6UhVoNbFbGJAskCPCj3h'), -- Jupiter Aggregator Authority 2
+      ('HU23r7UoZbqTUuh3vA7emAGztFtqwTeVips789vqxxBw'), -- Jupiter Aggregator Authority 3
+      ('3CgvbiM3op4vjrrjH2zcrQUwsqh5veNVRjFCB9N6sRoD'), -- Jupiter Aggregator Authority 4
+      ('6LXutJvKUw8Q5ue2gCgKHQdAN4suWW8awzFVC6XCguFx'), -- Jupiter Aggregator Authority 5
+      ('CapuXNQoDviLvU1PxFiizLgPNQCxrsag1uMeyk6zLVps'), -- Jupiter Aggregator Authority 6
+      ('GGztQqQ6pCPaJQnNpXBgELr5cs3WwDakRbh1iEMzjgSJ'), -- Jupiter Aggregator Authority 7
+      ('9nnLbotNTcUhvbrsA6Mdkx45Sm82G35zo28AqUvjExn8'), -- Jupiter Aggregator Authority 8
+      ('3LoAYHuSd7Gh8d7RTFnhvYtiTiefdZ5ByamU42vkzd76'), -- Jupiter Aggregator Authority 9
+      ('DSN3j1ykL3obAVNv7ZX49VsFCPe4LqzxHnmtLiPwY6xg'), -- Jupiter Aggregator Authority 10
+      ('69yhtoJR4JYPPABZcSNkzuqbaFbwHsCkja1sP1Q2aVT5'), -- Jupiter Aggregator Authority 11
+      ('6U91aKa8pmMxkJwBCfPTmUEfZi6dHe7DcFq2ALvB2tbB'), -- Jupiter Aggregator Authority 12
+      ('7iWnBRRhBCiNXXPhqiGzvvBkKrvFSWqqmxRyu9VyYBxE'), -- Jupiter Aggregator Authority 13
+      ('4xDsmeTWPNjgSVSS1VTfzFq3iHZhp77ffPkAmkZkdu71'), -- Jupiter Aggregator Authority 14
+      ('GP8StUXNYSZjPikyRsvkTbvRV1GBxMErb59cpeCJnDf1'), -- Jupiter Aggregator Authority 15
+      ('HFqp6ErWHY6Uzhj8rFyjYuDya2mXUpYEk8VW75K9PSiY'), -- Jupiter Aggregator Authority 16
+      ('45ruCyfdRkWpRNGEqWzjCiXRHkZs8WXCLQ67Pnpye7Hp'), -- Jupiter Partner Referral Fee Vault
+      ('ZG98FUCjb8mJ824Gbs6RsgVmr1FhXb2oNiJHa2dwmPd')  -- CxvksNjwhdHDLr3qbCXNKVdeYACW8cs93vFqLqtgyFE5's fee account
+      ,('GE5PnwZTgWw1YqVGno2QPWqie6aLjswNeGFhiF1nDg3k')  --Raydium (8008-USDC) Market
+      ,('DGT9TPRGQwpJeMvDdZJDEaVRZa2ZMXtp16pGZgAgBoLx') --Pump.fun (8008) Bonding Curve
+      ,('25mYnjJ2MXHZH6NvTTdA63JvjgRVcuiaj6MRiEQNs1Dq')  -- okx 相关
+      ,('14qLxu9XDQtc2pgnxX2SSdWPpnuVrEqccgwmATH1khcY')  -- Raydium (SOL-8008) Market
+      ,('5YET3YapxD6to6rqPqTWB3R9pSbURy6yduuUtoZkzoPX')  -- Jupiter ApePro Keeper
+    ,('F5sw1r94VXmUGwesPrcY3TvwSrfVAZmRaWwMtD1tr3Yf')  -- Meteora (8008-SOL) Market   
+    ,('j1oAbxxiDUWvoHxEDhWE7THLjEkDQW2cSHYn2vttxTF') --jupiter limit order taker account
+     ,('4KaVawPKmG1RZCv698XD9YzRsJcFPXrEoYnZbdZmfFFq')  --okx相关
+     
+      ,('j1oeQoPeuEDmjvyMwBmCWexzCQup77kbKKxV59CnYbd') --jupiter limit order taker account
+       ,('6KFVj2czLwNQeE4yBgFau6LHUS72vqgP11Sv1JUNxghz')  --fee account
+      
+  ),
+  DistinctPairs AS (
+    SELECT DISTINCT
+      from_owner,
+      to_owner
+    FROM
+      tokens_solana.transfers
+    WHERE
+      --   block_date > (TIMESTAMP '2024-08-01 00:00:00 +08:00')
+            block_time >= (TIMESTAMP '2025-03-10 00:00:00 +08:00')
+            AND block_time < (TIMESTAMP '2025-03-20 02:00:00 +08:00')
+            
+      -- block_date >= (TIMESTAMP '{{begin_date}}' )
+      -- AND block_date < (TIMESTAMP '{{end_date}}' )
+      AND token_mint_address = '3DRnsQ5GA2XKk8WJ3yB46KbcRWGtA3E6cgFaqzJWpump'
+      AND action = 'transfer'
+      AND (
+        from_owner NOT IN (
+          SELECT
+            owner
+          FROM
+            Exclude_onwer
+        )
+        AND to_owner NOT IN (
+          SELECT
+            owner
+          FROM
+            Exclude_onwer
+        )
+      )
+  ),
+  CombinedValues AS (
+    SELECT
+      from_owner AS combined_values
+    FROM
+      DistinctPairs
+    UNION ALL
+    SELECT
+      to_owner AS combined_values
+    FROM
+      DistinctPairs
+  )
+  
+SELECT
+  combined_values
+  -- ,COUNT(*) AS total_count
+FROM
+  CombinedValues
+GROUP BY
+  combined_values
+HAVING
+  COUNT(*) > 20
+-- ORDER BY
+--   total_count DESC

src/code/dune_sql/get_history_token_holders_by_transfer_And_specialAdd.sql

@@ -0,0 +1,170 @@
+-- 通过token过去的transfer记录， 记录wallet 的 token amount ，从而获取top 100 的 holder
+
+with
+    input_address (address) as (
+        values
+('6xMPaDn8jZ1r68BzXAunvumU8BTG2vDbgemNkWwRd1Fo')
+-- ('5Q544fKrFoe6tsEbD7S8EmxGTJYAKtTVhAW5Q5pge4j1'),
+-- ('Cet3TXGhtFcBo6vX9kfYjbtNyANbCWqwVC6G1QioKUhc'),
+-- ('7m2XQP2NDebaEKDhegj7WYpZBmrKF5yhiVi1JZU8cwoj'),
+-- ('68WLD7YzwjqBoCEVuJ3rjVbaPaAog6ATCkjUTpNqiMNF'),
+-- ('4ttYJgVcZMMXFsTPBAEKVUEDUshvsXqgvfUv3W7bdv7e'),
+-- ('14qLxu9XDQtc2pgnxX2SSdWPpnuVrEqccgwmATH1khcY'),
+-- ('Hh6XswyZK9WPUbb6csqi7YggDqYTstKkHFvvh7PFx7kw'),
+-- ('DAr4CE2rFgvtDHSFG75rEhmxmqgfEQYir91RGY458pkZ'),
+-- ('CC1xmUJCvq4wPzHSNKVHfMV9T3vRjHTZnzvW9VLVJ4gs'),
+-- ('GDwiC6S14topnYmWquQb6JdQxrRsvtH7N3K8UCLZmVrk'),
+-- ('HjUrUJi7zUCXu6NpXBUujYsoG5TJsXkPUrYJdWMKVtts'),
+-- ('5PZs2fmTJpjaMhYbdAH6uEx7Jbbhy2RdAdkNnPw83H3a'),
+-- ('FH8xnCwgoQgk3nXuePEdxYB5SZDTWSZav27smVcHjN1q'),
+-- ('ET3VpuSMr15ufn4z9a5kwHhyLRse2H96TY2HXVKZxCJM'),
+-- ('GD9Q87EY9guqAqkxgNwiqoqUKmBs958tcFEkQ8q1HD1N'),
+-- ('5pW6xYQZxZLs67eKuurGcTVm2nHqFcDsiuxesqagoW6V'),
+-- ('7V7BFFLNgHhrJq7Udm9Zi26Tbgvytg9GWKLdDLRzf4z6'),
+-- ('BC8yiFFQWFEKrEEj75zYsuK3ZDCfv6QEeMRif9oZZ9TW'),
+-- ('6QfdT1XZauUMCJU3SaN2d2aqdoFa4TDVNmxJig52ZGZT'),
+-- ('3M2dQzm6kz9ChDfaeX3xxqzn8BdeLjJEJv9JBd9WG2Jx'),
+-- ('6xMPaDn8jZ1r68BzXAunvumU8BTG2vDbgemNkWwRd1Fo'),
+-- ('3UFHt8qqRtHM2hZaCYRGKaF1gYfePcRYZFo2CdaadfMa'),
+-- ('Aewfbg61nn3SrFikqTsX2c8nZM8DXVbG7jpUp1Qwg22H'),
+-- ('3kZ7ZYjUGSFMhXbQ3twdCmqP1cgCjjBbZHRd8eXFFaja'),
+-- ('E9EpirpCKqJKnUTfhpUKzDKKFzVd7Q8RjjbdRVjPxXWX'),
+-- ('3Q7bWprdJZ5JUDoy2wBAcoKzgp7mZ3ChPaR8o3SUf7EN'),
+-- ('27NdJihiGpbg1kgHwAjk4UDUScTjEg7BDTo6urHjB3Cr'),
+-- ('BTJk52ULuadhdzYWpK2io1urPVfqEpqoH3sS4yg4b8Z2'),
+-- ('2fnRmNSYMTuyGw58UdZTrEgb2NmjNXvyRzqU9FJG31Q6'),
+-- ('GE5PnwZTgWw1YqVGno2QPWqie6aLjswNeGFhiF1nDg3k'),
+-- ('9r7p8uQiwRMRqQwAGDHUQ1Lmtjt4auNTxK7TgWg75J7C'),
+-- ('4N41X5S1GaqKQhZvqQsE7aKCpEm2xhswKTznQoxuJEmv'),
+-- ('FT78Vsmv2hWj8PK9HN1rtGEdKtt4Ajd2RSsxhrUt5nVG'),
+-- ('FML97BaUTVJX15T8tCU5LUbcpvJkHQ5RcZXmV354PzRt'),
+-- ('CpVNBP8bbFvT7Yt3zwTnCaXt26XojQxduNXaMz57DGLf'),
+-- ('77RWuJjzTgswsgUafvhSNDAbGxHcUHQPZ3ogpvNr3eB'),
+-- ('3ddwpbz7aXr6ZD7ybMZcUMTm76pgeszJekSkLdS931EH'),
+-- ('4KaVawPKmG1RZCv698XD9YzRsJcFPXrEoYnZbdZmfFFq'),
+-- ('HRL9mVQav58fLGJpN16qT55nXuk8S7Lx33Gvw2SHRHK5'),
+-- ('AeqgApsq3CoopttTpohuLiXj53EauJ78ophVvy8hrfkt'),
+-- ('51pcMTBEKwiKRVrCV5EmmHazsWetGDUxKkxoc5r3248'),
+-- ('5pKTV6EhcyFQPBbEDEATyDiUHM4kDZddtopRLq7o8kJj'),
+-- ('66VSSN5FiwkDXCSJ5ydNCZm8RD1DwVKXuwaeFBGJ5fKg'),
+-- ('3qTNSWq6o7hfb7RgSz6GzxDMNLgrjVuwKqFD2kJznuRB'),
+-- ('3fZcDhWXTBvNMkgzkyMmqxMizfysnvFZw5CzR7pnuxRz'),
+-- ('F8pWbg5zGXnzghmAtNW9SQPQYwP1RkyzsHs6KZTBh7Dg'),
+-- ('DuDEvMussH5iKvBPaa6mSVyJY39fPQKNEPUyT5c19S2x'),
+-- ('98oWTwQBBEyhhLMcUrgy2gta7zmVHZavQmcS8z98PDHe'),
+-- ('EPS4j3XEBas8okzQCe2CeuwKf6w6aif5ED4GMj3mqv4r'),
+-- ('5Xu8p9emHTkuNQkPN6D2ygkJypWo1nbUzbjYHUfXcNuR'),
+-- ('Hk7gzrcANZpqBnYCHeBEuxFk18HLu9Tey7TrNroyPVK7'),
+-- ('Goc5dPcEM94cFW97k92XNoT45vR89isxSEjxqE3VTvhv'),
+-- ('A3wcLYiBQdW5Uf5TXxbvuueJYh8pfAy57cbuE5fQJBeS'),
+-- ('D6DLAnP1NnimNYuHNDhJZfGkD1TmiKENWG2PrdhL8qLP'),
+-- ('CGnKC5zME8G36ftGLq1wrmQxw3SUgzVojJmVNXpidC6k'),
+-- ('3tVNBP85HyaYhS4DFdZiiX8E4ARX2qhofsN4gyLHCMiL'),
+-- ('6pcdBbgeGz8Lu1RAzJsPdiYAZzTAxFU6iBeoqS2XUe8Y'),
+-- ('3v6XiVAbays5FiZy6sWuriLHfC77EAX9mtB57Hf8VmpQ'),
+-- ('7aUgVdQhQBYHBxvwhmktb6Y4rYpsAJo5FyqRjFEZd8rb'),
+-- ('D2wBctC1K2mEtA17i8ZfdEubkiksiAH2j8F7ri3ec71V'),
+-- ('CfpFiySF5c63fvgtjjgbefjS2JSATJYeqp8qFQX76hKT'),
+-- ('7JYCpRR4ZnKnMuxgiRta6ogs1BrC1aURW7iZdiJytsPB'),
+-- ('7EWYbpVMN5aGbdDGEweFPabmYXC66rvS4MKWBkJZcoNN'),
+-- ('AR6SjcFLzQoZXXLVbaKo4GbsvmKmKKobCfrXFHcqE6TN'),
+-- ('6xHJJhNSYbyuaspAiGbg9qZnD2tXdK5gfwAZrAQBSHzU'),
+-- ('dR4GCDofsA6ZpBqzQpQJeob4msVspyASATbqW4sC4YM'),
+-- ('2geGo4wz6KgBb84Az6MM8w1dDnXoW6wmyX3hkEstAXJw'),
+-- ('DqqvEiiB73n1zXULMtUpWkFjgKUQ5zEfqBibsgReVoqj'),
+-- ('Gg6PuMT9qs53QiSrrJsnLyh51xedbzKAV5JiQ9qHPQ7a'),
+-- ('ApoqyJvBKd1xBwk2ZfCGABq8kgdsSjt1czV22gfz5oFT'),
+-- ('9ACVo4hxXL3LdyhzgL6w3hRATJkGapgvdZwxgtz6pr5i'),
+-- ('Fv4wEy1uwyRzqbwE2Kb23dBbbhMtKgMBzUqvoc2Q8gL7'),
+-- ('8oTVjgucrArfQgyGFy2AiEKz6QDhW6ATTJQ1nSkG3wAr'),
+-- ('4k22yKKbCsrq7QhCd89ZXFcxhSbGmszA92H2KhthpgKq'),
+-- ('DNfuF1L62WWyW3pNakVkyGGFzVVhj4Yr52jSmdTyeBHm'),
+-- ('2ANPc28rr67W8StfCFzfuY3ZbKp9FCJ9tfBc17pRK7sY'),
+-- ('9cQcY83s45VsMwVmFHFUR2HVG5j9Rc3K8HU4hzLaXnWs'),
+-- ('HjHBsicgsMqSrU9VPSas8sKYLGtCfwMzfiYHzfMEta6f'),
+-- ('5c511kvVfCGrEsLkNb6RoVqqA5BpimGHyhkE3ki4kWkX'),
+-- ('7xgxtHJX21bvXozPsmyVCi88qChqxZR4e84ckXgrTeFp'),
+-- ('D7hpLQ4VEKAr2ALHZqT7JjTLqgBGsRqJZrbfzxPcyVtD'),
+-- ('6mh7mv8JGBqmnV86NFJoVS3fkYgdbxCmxVys1vK3dB6t'),
+-- ('Gy5GSoHmrfnv49TZHku1bxNv2Dy4tFDjgm7vGbmp8S2h'),
+-- ('9UPcMHdTw8pJSvv13dH1tGawwCjSCSjjxwU5cKu9PTiq'),
+-- ('2k77ScTf9ULptpVRG4M4X6SRZiuUxWCTzG2RWBT7KnHR'),
+-- ('9wNu1SLCfouEsR4B8PCck6p15mcSgun7k5KEKDw43Cyu'),
+-- ('3nxNfz8fx4DPW37i97Qs4Ue4Z2zVinEFeDAAymwtEtYd'),
+-- ('2ydwYpyTwn1NrPpRN4n6NaHHtg82G65QAN2rQxX6e9ep'),
+-- ('8Mnb87uUYXcqejP6RuUyDiX9Fd1unCA3YdM3zLGSVEPQ'),
+-- ('CdCM27tboWquCEC3Pq3CRphSdiGV6Q48VewWmrxbUyYW'),
+-- ('74F2yUFB6kQMmkW3NkXvw1uypwGTKT34PkYmvJLw31Fb'),
+-- ('4WEJwCpdDWoQQMDT7ugqiX5VuE3KY3QeYpTTqRoKN9Ea'),
+-- ('JD6GNPCYsrEe95dzbfvzWV548ATFBCiv1VpPTeivqtp'),
+-- ('38nYRZ7ENv1QNZgDk2d5rARsQroCDC6pRhJmCU8yVMbR'),
+-- ('43TMSiFPiw721VP6ue58Kc4cPocFuU1qju1ok9ibDsS6'),
+-- ('HmgJG6XqV4HjDEXG47gTx8oobq6Y5W11oeYBD86N2RPR'),
+-- ('ETXkmPKnSx8jPqGvvES5Ss3k9q811r7BuqPPwcKZn2pv'),
+-- ('YWzEJLhgobeRvYnqVhPRNRC36sEiB9KJWybkXdXoyyb') 
+ 
+    ),
+    temp_01 as (
+        select
+            block_time AS time,
+            amount AS amount,
+            from_owner AS from_owner,
+            to_owner AS to_owner
+        from
+            tokens_solana.transfers
+        where
+            block_time > timestamp '2025-03-10 00:00:00 +08:00'
+            and
+            -- block_time < timestamp '2025-03-17 00:00:00 +08:00'
+            block_time < timestamp '2025-03-16 02:00:00 +08:00'
+            and token_mint_address = '3DRnsQ5GA2XKk8WJ3yB46KbcRWGtA3E6cgFaqzJWpump'
+            AND action = 'transfer'
+    ),
+    temp_from as (
+        SELECT
+            from_owner AS owner,
+            SUM(- amount) AS from_amount
+        FROM
+            temp_01
+        GROUP BY
+            from_owner
+    ),
+    temp_to as (
+        SELECT
+            to_owner AS owner,
+            SUM(amount) AS to_amount
+        FROM
+            temp_01
+        GROUP BY
+            to_owner
+    ),
+    temp_from_to as (
+        select
+            COALESCE(temp_from.owner, temp_to.owner) AS owner,
+            round(
+                (
+                    COALESCE(temp_from.from_amount, 0) + COALESCE(temp_to.to_amount, 0)
+                ) / 1e6 / 1e6,
+                2
+            ) AS amount_M
+        from
+            temp_from
+            full outer join temp_to on temp_from.owner = temp_to.owner
+            -- 指定specila address
+            -- inner join input_address on input_address.address = COALESCE(temp_from.owner, temp_to.owner)
+        order by
+            2 desc
+        limit
+            -- 100
+            50
+    )
+select
+    temp_from_to.owner as holder_owner,
+    sns_domains.domains_owned,
+    amount_M,
+    round(amount_M / 10, 2) as pct_supply
+from
+    temp_from_to
+    left join solana_utils.sns_domains sns_domains on sns_domains.owner = temp_from_to.owner
+order by
+    3 desc

src/code/dune_sql/get_token_transfer_row_OR_info.sql

@@ -0,0 +1,227 @@
+-- 获取一个token 在一段时间内的transfer 记录 获取A WALLET --> B WALLET  transfer次数以及amount 
+with
+    input_address (address) as (
+    values
+('Cet3TXGhtFcBo6vX9kfYjbtNyANbCWqwVC6G1QioKUhc'),
+('7m2XQP2NDebaEKDhegj7WYpZBmrKF5yhiVi1JZU8cwoj'),
+('68WLD7YzwjqBoCEVuJ3rjVbaPaAog6ATCkjUTpNqiMNF'),
+('4ttYJgVcZMMXFsTPBAEKVUEDUshvsXqgvfUv3W7bdv7e'),
+('Hh6XswyZK9WPUbb6csqi7YggDqYTstKkHFvvh7PFx7kw'),
+('DAr4CE2rFgvtDHSFG75rEhmxmqgfEQYir91RGY458pkZ'),
+('CC1xmUJCvq4wPzHSNKVHfMV9T3vRjHTZnzvW9VLVJ4gs'),
+('GDwiC6S14topnYmWquQb6JdQxrRsvtH7N3K8UCLZmVrk'),
+('HjUrUJi7zUCXu6NpXBUujYsoG5TJsXkPUrYJdWMKVtts'),
+('5PZs2fmTJpjaMhYbdAH6uEx7Jbbhy2RdAdkNnPw83H3a'),
+('FH8xnCwgoQgk3nXuePEdxYB5SZDTWSZav27smVcHjN1q'),
+('ET3VpuSMr15ufn4z9a5kwHhyLRse2H96TY2HXVKZxCJM'),
+('GD9Q87EY9guqAqkxgNwiqoqUKmBs958tcFEkQ8q1HD1N'),
+('5pW6xYQZxZLs67eKuurGcTVm2nHqFcDsiuxesqagoW6V'),
+('7V7BFFLNgHhrJq7Udm9Zi26Tbgvytg9GWKLdDLRzf4z6'),
+('BC8yiFFQWFEKrEEj75zYsuK3ZDCfv6QEeMRif9oZZ9TW'),
+('6QfdT1XZauUMCJU3SaN2d2aqdoFa4TDVNmxJig52ZGZT'),
+('3M2dQzm6kz9ChDfaeX3xxqzn8BdeLjJEJv9JBd9WG2Jx'),
+('6xMPaDn8jZ1r68BzXAunvumU8BTG2vDbgemNkWwRd1Fo'),
+('3UFHt8qqRtHM2hZaCYRGKaF1gYfePcRYZFo2CdaadfMa'),
+('Aewfbg61nn3SrFikqTsX2c8nZM8DXVbG7jpUp1Qwg22H'),
+('3kZ7ZYjUGSFMhXbQ3twdCmqP1cgCjjBbZHRd8eXFFaja'),
+('E9EpirpCKqJKnUTfhpUKzDKKFzVd7Q8RjjbdRVjPxXWX'),
+('3Q7bWprdJZ5JUDoy2wBAcoKzgp7mZ3ChPaR8o3SUf7EN'),
+('27NdJihiGpbg1kgHwAjk4UDUScTjEg7BDTo6urHjB3Cr'),
+('BTJk52ULuadhdzYWpK2io1urPVfqEpqoH3sS4yg4b8Z2'),
+('2fnRmNSYMTuyGw58UdZTrEgb2NmjNXvyRzqU9FJG31Q6'),
+('9r7p8uQiwRMRqQwAGDHUQ1Lmtjt4auNTxK7TgWg75J7C'),
+('4N41X5S1GaqKQhZvqQsE7aKCpEm2xhswKTznQoxuJEmv'),
+('FT78Vsmv2hWj8PK9HN1rtGEdKtt4Ajd2RSsxhrUt5nVG'),
+('FML97BaUTVJX15T8tCU5LUbcpvJkHQ5RcZXmV354PzRt'),
+('CpVNBP8bbFvT7Yt3zwTnCaXt26XojQxduNXaMz57DGLf'),
+('77RWuJjzTgswsgUafvhSNDAbGxHcUHQPZ3ogpvNr3eB'),
+('3ddwpbz7aXr6ZD7ybMZcUMTm76pgeszJekSkLdS931EH'),
+('HRL9mVQav58fLGJpN16qT55nXuk8S7Lx33Gvw2SHRHK5'),
+('AeqgApsq3CoopttTpohuLiXj53EauJ78ophVvy8hrfkt'),
+('51pcMTBEKwiKRVrCV5EmmHazsWetGDUxKkxoc5r3248'),
+('5pKTV6EhcyFQPBbEDEATyDiUHM4kDZddtopRLq7o8kJj'),
+('66VSSN5FiwkDXCSJ5ydNCZm8RD1DwVKXuwaeFBGJ5fKg'),
+('3qTNSWq6o7hfb7RgSz6GzxDMNLgrjVuwKqFD2kJznuRB'),
+('3fZcDhWXTBvNMkgzkyMmqxMizfysnvFZw5CzR7pnuxRz'),
+('F8pWbg5zGXnzghmAtNW9SQPQYwP1RkyzsHs6KZTBh7Dg'),
+('DuDEvMussH5iKvBPaa6mSVyJY39fPQKNEPUyT5c19S2x'),
+('98oWTwQBBEyhhLMcUrgy2gta7zmVHZavQmcS8z98PDHe'),
+('EPS4j3XEBas8okzQCe2CeuwKf6w6aif5ED4GMj3mqv4r'),
+('5Xu8p9emHTkuNQkPN6D2ygkJypWo1nbUzbjYHUfXcNuR'),
+('Hk7gzrcANZpqBnYCHeBEuxFk18HLu9Tey7TrNroyPVK7'),
+('Goc5dPcEM94cFW97k92XNoT45vR89isxSEjxqE3VTvhv'),
+('A3wcLYiBQdW5Uf5TXxbvuueJYh8pfAy57cbuE5fQJBeS'),
+('D6DLAnP1NnimNYuHNDhJZfGkD1TmiKENWG2PrdhL8qLP'),
+('CGnKC5zME8G36ftGLq1wrmQxw3SUgzVojJmVNXpidC6k'),
+('3tVNBP85HyaYhS4DFdZiiX8E4ARX2qhofsN4gyLHCMiL'),
+('6pcdBbgeGz8Lu1RAzJsPdiYAZzTAxFU6iBeoqS2XUe8Y'),
+('3v6XiVAbays5FiZy6sWuriLHfC77EAX9mtB57Hf8VmpQ'),
+('7aUgVdQhQBYHBxvwhmktb6Y4rYpsAJo5FyqRjFEZd8rb'),
+('D2wBctC1K2mEtA17i8ZfdEubkiksiAH2j8F7ri3ec71V'),
+('CfpFiySF5c63fvgtjjgbefjS2JSATJYeqp8qFQX76hKT'),
+('7JYCpRR4ZnKnMuxgiRta6ogs1BrC1aURW7iZdiJytsPB'),
+('7EWYbpVMN5aGbdDGEweFPabmYXC66rvS4MKWBkJZcoNN'),
+('AR6SjcFLzQoZXXLVbaKo4GbsvmKmKKobCfrXFHcqE6TN'),
+('6xHJJhNSYbyuaspAiGbg9qZnD2tXdK5gfwAZrAQBSHzU'),
+('dR4GCDofsA6ZpBqzQpQJeob4msVspyASATbqW4sC4YM'),
+('2geGo4wz6KgBb84Az6MM8w1dDnXoW6wmyX3hkEstAXJw'),
+('DqqvEiiB73n1zXULMtUpWkFjgKUQ5zEfqBibsgReVoqj'),
+('Gg6PuMT9qs53QiSrrJsnLyh51xedbzKAV5JiQ9qHPQ7a'),
+('ApoqyJvBKd1xBwk2ZfCGABq8kgdsSjt1czV22gfz5oFT'),
+('9ACVo4hxXL3LdyhzgL6w3hRATJkGapgvdZwxgtz6pr5i'),
+('Fv4wEy1uwyRzqbwE2Kb23dBbbhMtKgMBzUqvoc2Q8gL7'),
+('8oTVjgucrArfQgyGFy2AiEKz6QDhW6ATTJQ1nSkG3wAr'),
+('4k22yKKbCsrq7QhCd89ZXFcxhSbGmszA92H2KhthpgKq'),
+('DNfuF1L62WWyW3pNakVkyGGFzVVhj4Yr52jSmdTyeBHm'),
+('2ANPc28rr67W8StfCFzfuY3ZbKp9FCJ9tfBc17pRK7sY'),
+('9cQcY83s45VsMwVmFHFUR2HVG5j9Rc3K8HU4hzLaXnWs'),
+('HjHBsicgsMqSrU9VPSas8sKYLGtCfwMzfiYHzfMEta6f'),
+('5c511kvVfCGrEsLkNb6RoVqqA5BpimGHyhkE3ki4kWkX'),
+('7xgxtHJX21bvXozPsmyVCi88qChqxZR4e84ckXgrTeFp'),
+('D7hpLQ4VEKAr2ALHZqT7JjTLqgBGsRqJZrbfzxPcyVtD'),
+('6mh7mv8JGBqmnV86NFJoVS3fkYgdbxCmxVys1vK3dB6t'),
+('Gy5GSoHmrfnv49TZHku1bxNv2Dy4tFDjgm7vGbmp8S2h'),
+('9UPcMHdTw8pJSvv13dH1tGawwCjSCSjjxwU5cKu9PTiq'),
+('2k77ScTf9ULptpVRG4M4X6SRZiuUxWCTzG2RWBT7KnHR'),
+('9wNu1SLCfouEsR4B8PCck6p15mcSgun7k5KEKDw43Cyu'),
+('3nxNfz8fx4DPW37i97Qs4Ue4Z2zVinEFeDAAymwtEtYd'),
+('2ydwYpyTwn1NrPpRN4n6NaHHtg82G65QAN2rQxX6e9ep'),
+('8Mnb87uUYXcqejP6RuUyDiX9Fd1unCA3YdM3zLGSVEPQ'),
+('CdCM27tboWquCEC3Pq3CRphSdiGV6Q48VewWmrxbUyYW'),
+('74F2yUFB6kQMmkW3NkXvw1uypwGTKT34PkYmvJLw31Fb'),
+('4WEJwCpdDWoQQMDT7ugqiX5VuE3KY3QeYpTTqRoKN9Ea'),
+('JD6GNPCYsrEe95dzbfvzWV548ATFBCiv1VpPTeivqtp'),
+('38nYRZ7ENv1QNZgDk2d5rARsQroCDC6pRhJmCU8yVMbR'),
+('43TMSiFPiw721VP6ue58Kc4cPocFuU1qju1ok9ibDsS6'),
+('HmgJG6XqV4HjDEXG47gTx8oobq6Y5W11oeYBD86N2RPR'),
+('ETXkmPKnSx8jPqGvvES5Ss3k9q811r7BuqPPwcKZn2pv'),
+('YWzEJLhgobeRvYnqVhPRNRC36sEiB9KJWybkXdXoyyb')
+  
+
+    ),
+    Exclude_onwer (owner) AS (
+        VALUES
+            ('5Q544fKrFoe6tsEbD7S8EmxGTJYAKtTVhAW5Q5pge4j1'), --  Raydium Authority V4
+            ('BQ72nSv9f3PRyRKCBnHLVrerrv37CYTHm5h3s9VSGQDV'), -- Jupiter Aggregator Authority 1
+            ('2MFoS3MPtvyQ4Wh4M9pdfPjz6UhVoNbFbGJAskCPCj3h'), -- Jupiter Aggregator Authority 2
+            ('HU23r7UoZbqTUuh3vA7emAGztFtqwTeVips789vqxxBw'), -- Jupiter Aggregator Authority 3
+            ('3CgvbiM3op4vjrrjH2zcrQUwsqh5veNVRjFCB9N6sRoD'), -- Jupiter Aggregator Authority 4
+            ('6LXutJvKUw8Q5ue2gCgKHQdAN4suWW8awzFVC6XCguFx'), -- Jupiter Aggregator Authority 5
+            ('CapuXNQoDviLvU1PxFiizLgPNQCxrsag1uMeyk6zLVps'), -- Jupiter Aggregator Authority 6
+            ('GGztQqQ6pCPaJQnNpXBgELr5cs3WwDakRbh1iEMzjgSJ'), -- Jupiter Aggregator Authority 7
+            ('9nnLbotNTcUhvbrsA6Mdkx45Sm82G35zo28AqUvjExn8'), -- Jupiter Aggregator Authority 8
+            ('3LoAYHuSd7Gh8d7RTFnhvYtiTiefdZ5ByamU42vkzd76'), -- Jupiter Aggregator Authority 9
+            ('DSN3j1ykL3obAVNv7ZX49VsFCPe4LqzxHnmtLiPwY6xg'), -- Jupiter Aggregator Authority 10
+            ('69yhtoJR4JYPPABZcSNkzuqbaFbwHsCkja1sP1Q2aVT5'), -- Jupiter Aggregator Authority 11
+            ('6U91aKa8pmMxkJwBCfPTmUEfZi6dHe7DcFq2ALvB2tbB'), -- Jupiter Aggregator Authority 12
+            ('7iWnBRRhBCiNXXPhqiGzvvBkKrvFSWqqmxRyu9VyYBxE'), -- Jupiter Aggregator Authority 13
+            ('4xDsmeTWPNjgSVSS1VTfzFq3iHZhp77ffPkAmkZkdu71'), -- Jupiter Aggregator Authority 14
+            ('GP8StUXNYSZjPikyRsvkTbvRV1GBxMErb59cpeCJnDf1'), -- Jupiter Aggregator Authority 15
+            ('HFqp6ErWHY6Uzhj8rFyjYuDya2mXUpYEk8VW75K9PSiY'), -- Jupiter Aggregator Authority 16
+            ('45ruCyfdRkWpRNGEqWzjCiXRHkZs8WXCLQ67Pnpye7Hp'), -- Jupiter Partner Referral Fee Vault
+            ('ZG98FUCjb8mJ824Gbs6RsgVmr1FhXb2oNiJHa2dwmPd'), -- CxvksNjwhdHDLr3qbCXNKVdeYACW8cs93vFqLqtgyFE5's fee account
+            ('DGT9TPRGQwpJeMvDdZJDEaVRZa2ZMXtp16pGZgAgBoLx') -- pump Bonding Curve
+           
+            ,('GE5PnwZTgWw1YqVGno2QPWqie6aLjswNeGFhiF1nDg3k') -- Raydium (8008-USDC) Market
+
+            ,('25mYnjJ2MXHZH6NvTTdA63JvjgRVcuiaj6MRiEQNs1Dq')  -- okx 相关
+            ,('14qLxu9XDQtc2pgnxX2SSdWPpnuVrEqccgwmATH1khcY')  -- Raydium (SOL-8008) Market
+            ,('5YET3YapxD6to6rqPqTWB3R9pSbURy6yduuUtoZkzoPX')  -- Jupiter ApePro Keeper
+            ,('F5sw1r94VXmUGwesPrcY3TvwSrfVAZmRaWwMtD1tr3Yf')  -- Meteora (8008-SOL) Market   
+            ,('j1oAbxxiDUWvoHxEDhWE7THLjEkDQW2cSHYn2vttxTF') --jupiter limit order taker account
+            ,('4KaVawPKmG1RZCv698XD9YzRsJcFPXrEoYnZbdZmfFFq')  --okx相关
+            ,('j1oeQoPeuEDmjvyMwBmCWexzCQup77kbKKxV59CnYbd') --jupiter limit order taker account
+            ,('6KFVj2czLwNQeE4yBgFau6LHUS72vqgP11Sv1JUNxghz')  --fee account
+       
+        
+    ),
+    transfers_01 AS (
+        SELECT
+            -- sum(amount) AS amount,
+            tx_id,
+            block_time,
+            block_slot,
+            round(amount / 1e6, 2) / 1e6 as token_transfer_M,
+            from_owner,
+            to_owner,
+            from_token_account,
+            to_token_account
+        FROM
+            tokens_solana.transfers
+        WHERE
+            block_time >= (TIMESTAMP '2025-01-01 00:00:00 +08:00')
+            AND block_time < (TIMESTAMP '2025-01-16 02:00:00 +08:00')
+            AND token_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump'
+            AND action = 'transfer'
+            AND (
+                from_owner NOT IN (
+                    SELECT
+                        owner
+                    FROM
+                        Exclude_onwer
+                )
+                AND to_owner NOT IN (
+                    SELECT
+                        owner
+                    FROM
+                        Exclude_onwer
+                )
+            )
+            AND (
+                from_owner IN (
+                    SELECT
+                        address
+                    FROM
+                        input_address
+                )
+                OR to_owner IN (
+                    SELECT
+                        address
+                    FROM
+                        input_address
+                )
+            )
+    )
+SELECT
+    tx_id,
+    block_time,
+    block_slot,
+    token_transfer_M,
+    from_owner,
+    to_owner
+FROM
+    transfers_01
+order by
+    block_time,
+    block_slot asc
+    --
+    --
+    --
+    -- 
+    --   -- 总体的transfer记录
+    -- ,
+    --   transfers_total AS (
+    --     SELECT
+    --       sum(token_transfer_M) AS amount,
+    --       from_owner AS from_owner,
+    --       to_owner AS to_owner,
+    --       from_token_account,
+    --       to_token_account,
+    --       count (*)  AS owner_count
+    --     FROM
+    --       transfers_01
+    --     GROUP BY
+    --       from_token_account,
+    --       to_token_account,
+    --        from_owner,
+    --       to_owner
+    --   )
+    -- SELECT
+    --   amount,
+    --   from_owner,
+    --   to_owner,
+    --   from_token_account,
+    --   to_token_account,
+    --   owner_count
+    -- FROM
+    --   transfers_total

src/code/dune_sql/get_tokenswap_row_special_add_OR_time.sql

@@ -0,0 +1,144 @@
+
+
+ -- 1. 获取某些wallet 针对某一个token的 在一定时间段中每一次swap的信息 ， 价格，买卖量，sol量等
+ -- 2. 获取 某一个token的 在一定时间段中每一次swap的信息 ， 价格，买卖量，sol量等
+ 
+
+with
+    input_address (address) as (
+        values
+('4cefnAL34KurvDSv8StgQtukXJpzQax8r7rPcfAiH1q1'),
+('77RWuJjzTgswsgUafvhSNDAbGxHcUHQPZ3ogpvNr3eB'),
+('42cyTW8WskqXcxubd7ubKkHAsdg6EYWXCSsGAox5AKbg'),
+('5xbbZ1rM8KF1vvoWCgX3Z6vUcPF4gqFp9cdVet8y8DJ'),
+('9KVcXs5Z64s4sCjo3UWKQGCxQsPjqQ7M4uRJdHngiDB2'),
+('EN3uG7hkyNsWNujTQbxEcCtowpurKCQj4HMNCRegM1pP'),
+('CzSoBsk4TXNuFx59fFv3MDN6QiHrBZDxf1iRvPdHbfRH'),
+('Ex2Th2Wnf535mabJTUuxssD9Cpg6QRry1yYHM65K5sSp'),
+('EZVibEmShfkTA3bmosJzZ78cE1ZT8vRaK3ErNcLFKese'),
+('6GZyjgbvKnWWWfWBvdNGMXp8vwvKvLUyaR3VvKYz45Fp'),
+('5pW6xYQZxZLs67eKuurGcTVm2nHqFcDsiuxesqagoW6V'),
+('7Fxp3e8xdqcSQstyzMHySAR3ZEz2W9Sbvy9gmZAJb44X'),
+('J4L3HPTKC1EkeXCwkLtsipAryeB3H6Y4fWgnpejKh6a3'),
+('CB3HH9v3aDZocy9npe7TyTKfDEBotBmcgPjPDF3ip4qK'),
+('DUFoRbB7B7UmvuzntS4CYexy2Sopz3dvjii97DD4rPgn'),
+('4Bc1Mwa4ww8HUfHpoHfqroFEy7ChKvGi4E51Mj6rnMo9'),
+('7CMXzsRqrVakVE3Fyw3YrNCSCGw5LSm4LRD4yRX9epgp'),
+('6aEgy4QnbQ9EvLdoSpToRApUZyrpwfEXu1AaCVFAmiei'),
+('4RyoEkX1mYN44t8JSKg5bUsgzmLFJfg3jpr2yrEaTTrm'),
+('CwgHkUs6FS9ZYmBaiJd9UC9SNSpTugm26FfRuLdCRDWS'),
+('6deMq6kL7Lb83d9fDj5ok3yTePFejuKmm99eJMbiR6V8'),
+('9NNAetBQDgzcdUMjEmCLKEJ6AXKDAuJDEqNhvXgEmn4L'),
+('D8h6fmowAvKEcCa5Lzbxc1S1pzDnF6CqUThswMPai7e7'),
+('8CM48tGsNFTbsgoY4VQUJpxP5haMSHHc8RGv6v2dfsFf'),
+('DiyANQnWP19XGJQC3ZTPcqSsHZr2MMMvByS4X5WCBUdv'),
+('BKWksc6pM2AyNvFpV6JsKbnXMByNpJZU55JY8u39x3jM'),
+('4F4feehMZiKnycW5q6vVrCWh4mX5v1zqAJu98gg3pDjS'),
+('H46wBvv4U6acvSwkoWKZtQXn6Xkkg2z8Da7coL2ti5Sq'),
+('9bi8EfPV8rawqFbcLPfjS7eDqdoozntv1k4Dy4bZkm4w'),
+('9fw6g6vKSCLUSNBq5HsfsvyJ7U4AdrYVgqoHERWxHzPn'),
+('E9YmnB4w1radAHCVxmXaTr1cV76cL3hZWz5qDoPa2PQU'),
+('8tP1mVCiR4Wj9cX5jR5LCHGNwMoceBeFnujkZYZcfhNg'),
+('3G5XWymznNjt7Eddg7REfKn5WhCG4M2XGvJsXq9b7bkE'),
+('HKiiMjWDxvGXAYNFgoBvionfbaaXWnT79tn5z64tvmQk'),
+('2xk8cNxt89guchaqGYxUkUSkFyfa7KFKdoPQLsAAwna9'),
+('2MMYWhAYjTUmXg9nuUYUHkpaxiT91xCfLsNrSaZPMCDd'),
+('D33VqQjk6cHtq4jiwbvFmdgKAaGi7R4AYUrcUr8FgffC'),
+('2yhNdbgU76LzkFUdjxsLDpN4HrfiUo8TJ39nv5738ehj'),
+('68F9fagj6aN6UZKn8h1NzTtN3xVYSDDecWoVyfFQyYgc'),
+('iQu15wooderqSWhoETpjWFFQWH4gKPmudszrY54a1hu'),
+('A2nAEus8FFPUmTX1gFD1KKKeYKkgW3dMCUGsCkht6kZL'),
+('9YMfU2C9s9ok1nnLYFtYKp7FEUGQpgXq4wTbf3qxNny8'),
+('HSQ8sfQB4f4Ws9ghxf3wvTqETXjmTMZioAwX2zhLhebZ'),
+('21zKBzN6vC5vvueZ3H37m8BiKCKu1HB3hMnstbmJFKdN')
+
+    ),
+ 
+    swap_table as (
+        select
+            block_time,
+            block_slot,
+            tx_id,
+            trade_source,
+            project_main_id,
+            token_bought_amount,
+            token_sold_amount,
+            token_bought_mint_address,
+            token_sold_mint_address,
+            trader_id
+        from
+            dex_solana.trades
+        where
+             block_time > timestamp '2025-01-07 00:00:00 +08:00'
+            and block_time < timestamp '2025-01-07 23:05:00 +08:00'
+            
+            -- block_time > timestamp '2025-01-01 21:00:00 +08:00'
+            -- and block_time < timestamp '2025-01-16 02:00:00 +08:00'
+            and (
+                (
+                    token_bought_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump'
+                    and token_sold_mint_address = 'So11111111111111111111111111111111111111112'
+                )
+                or (
+                    token_bought_mint_address = 'So11111111111111111111111111111111111111112'
+                    and token_sold_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump'
+                )
+            )
+    ),
+    swap_table_02 as (
+        select
+            block_time,
+            block_slot,
+            tx_id,
+            trade_source,
+            project_main_id,
+            trader_id,
+            (
+                CASE
+                    WHEN token_bought_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump' THEN 'b'
+                    ELSE 's'
+                END
+            ) AS action_type,
+            (
+                CASE
+                    WHEN token_bought_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump' THEN token_bought_amount
+                    ELSE - token_sold_amount
+                END
+            ) AS token_swap_amount,
+            (
+                CASE
+                    WHEN token_bought_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump' THEN - token_sold_amount
+                    ELSE token_bought_amount
+                END
+            ) AS eth_swap_amount
+        from
+            swap_table
+            -- 指定specila address
+            inner join input_address on input_address.address = swap_table.trader_id
+    ),
+    swap_table_03 as (
+        select
+            trader_id,
+            tx_id,
+            block_time,
+            block_slot,
+            project_main_id,
+            trade_source,
+            action_type,
+            round(token_swap_amount / 1e6, 4) as token_swap_M,
+            round(eth_swap_amount, 2) as eth_swap_amount,
+            round(- eth_swap_amount / token_swap_amount, 10) as pri
+        from
+            swap_table_02
+        where
+         abs(token_swap_amount)> 0.01 *1e6 
+        
+    )
+select
+    *
+from
+    swap_table_03
+order by
+    -- trader_id,
+    block_time,
+    block_slot asc

src/code/dune_sql/get_tokenswap_top_BuyOrDiff_amount.sql

@@ -0,0 +1,354 @@
+
+-- -- 两个方向
+-- -- 1.获取某一个token在某一个时间段的swap记录 ，和并分析 获取 token理论持有 买卖 token，金额，次数，价格 等 ，获取某一个方面的top
+-- -- 2.指定一些trader 获取他们的swap记录并汇总
+-- -- 为了节省private 空间 公用一个。
+ 
+
+-- 第一个方向代码 
+-- 开始 开始 开始 开始 开始 开始 开始 开始 开始
+with swap_table as (
+        select
+            block_time,
+            tx_id,
+            token_bought_amount,
+            token_sold_amount,
+            token_bought_mint_address,
+            token_sold_mint_address,
+            trader_id
+        from
+            dex_solana.trades
+        where
+      
+            block_time > timestamp '2025-01-08 04:45:00 +08:00'
+            and block_time < timestamp '2025-01-08 06:00:00 +08:00'
+            
+            and (
+            (
+                    token_bought_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump'
+                    and token_sold_mint_address = 'So11111111111111111111111111111111111111112'
+                )
+                or (
+                    token_bought_mint_address = 'So11111111111111111111111111111111111111112'
+                    and token_sold_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump'
+                )
+            )
+            
+    ),
+    swap_table_02 as (
+        select
+            trader_id,
+            COALESCE(
+                SUM(
+                    CASE
+                        WHEN token_bought_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump' THEN token_bought_amount
+                        ELSE 0
+                    END
+                ),
+                0
+            ) AS token_bought,
+            COALESCE(
+                SUM(
+                    CASE
+                        WHEN token_bought_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump' THEN token_sold_amount
+                        ELSE 0
+                    END
+                ),
+                0
+            ) AS eth_bought,
+            COALESCE(
+                SUM(
+                    CASE
+                        WHEN token_bought_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump' THEN 1
+                        ELSE 0
+                    END
+                ),
+                0
+            ) AS bought_count,
+            COALESCE(
+                SUM(
+                    CASE
+                        WHEN token_sold_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump' THEN token_sold_amount
+                        ELSE 0
+                    END
+                ),
+                0
+            ) AS token_sold,
+            COALESCE(
+                SUM(
+                    CASE
+                        WHEN token_sold_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump' THEN token_bought_amount
+                        ELSE 0
+                    END
+                ),
+                0
+            ) AS eth_sold,
+            COALESCE(
+                SUM(
+                    CASE
+                        WHEN token_sold_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump' THEN 1
+                        ELSE 0
+                    END
+                ),
+                0
+            ) AS sold_count
+        from
+            swap_table
+        group by
+            trader_id
+    )
+select
+    trader_id as swap_trader_id,
+    round( (token_bought - token_sold) / 1e6, 2) as li_lun_hold,
+    round(token_bought / 1e6, 2) as token_b_M,
+    round(token_sold / 1e6, 2) as token_s_M,
+    round(eth_bought, 2) as eth_b,
+    round(eth_sold, 2) as eth_s,
+    bought_count as b_count,
+    sold_count as s_count
+    ,(
+        CASE
+            WHEN token_bought != 0 THEN round(eth_bought / token_bought*1e6, 3)
+            ELSE 0
+        END
+    ) as avg_b_pri
+    , (
+        CASE
+            WHEN token_sold != 0 THEN round(eth_sold / token_sold*1e6, 3)
+            ELSE 0
+        END
+    ) as avg_s_pri
+from
+    swap_table_02
+    where 
+    -- abs(token_bought - token_sold) >0.2*1e6
+      -- (token_bought - token_sold) >0.2*1e6
+      abs(token_bought - token_sold) > 0.1*1e6 and
+    -- (token_bought - token_sold) < 0.1*1e6 and
+     ( eth_bought > 1.9 or       eth_sold >1.9)
+order by
+    --  2 diff amount
+    2
+    --  3 buy amount
+    -- 3
+    -- 7 buy count
+    -- 7
+    -- 8 sell count
+    -- 8
+    desc
+-- limit
+--     200
+
+-- 第一个方向代码 
+-- 结束 结束 结束 结束 结束 结束 结束 结束 结束
+
+
+
+-- -- -- 第二个方向代码 
+-- -- -- 开始 开始 开始 开始 开始 开始 开始 开始 开始
+-- with
+--     input_address (address) as (
+--         VALUES
+-- ('5Q544fKrFoe6tsEbD7S8EmxGTJYAKtTVhAW5Q5pge4j1'),
+-- ('Cet3TXGhtFcBo6vX9kfYjbtNyANbCWqwVC6G1QioKUhc'),
+-- ('7m2XQP2NDebaEKDhegj7WYpZBmrKF5yhiVi1JZU8cwoj'),
+-- ('68WLD7YzwjqBoCEVuJ3rjVbaPaAog6ATCkjUTpNqiMNF'),
+-- ('4ttYJgVcZMMXFsTPBAEKVUEDUshvsXqgvfUv3W7bdv7e'),
+-- ('14qLxu9XDQtc2pgnxX2SSdWPpnuVrEqccgwmATH1khcY'),
+-- ('Hh6XswyZK9WPUbb6csqi7YggDqYTstKkHFvvh7PFx7kw'),
+-- ('DAr4CE2rFgvtDHSFG75rEhmxmqgfEQYir91RGY458pkZ'),
+-- ('CC1xmUJCvq4wPzHSNKVHfMV9T3vRjHTZnzvW9VLVJ4gs'),
+-- ('GDwiC6S14topnYmWquQb6JdQxrRsvtH7N3K8UCLZmVrk'),
+-- ('HjUrUJi7zUCXu6NpXBUujYsoG5TJsXkPUrYJdWMKVtts'),
+-- ('5PZs2fmTJpjaMhYbdAH6uEx7Jbbhy2RdAdkNnPw83H3a'),
+-- ('FH8xnCwgoQgk3nXuePEdxYB5SZDTWSZav27smVcHjN1q'),
+-- ('ET3VpuSMr15ufn4z9a5kwHhyLRse2H96TY2HXVKZxCJM'),
+-- ('GD9Q87EY9guqAqkxgNwiqoqUKmBs958tcFEkQ8q1HD1N'),
+-- ('5pW6xYQZxZLs67eKuurGcTVm2nHqFcDsiuxesqagoW6V'),
+-- ('7V7BFFLNgHhrJq7Udm9Zi26Tbgvytg9GWKLdDLRzf4z6'),
+-- ('BC8yiFFQWFEKrEEj75zYsuK3ZDCfv6QEeMRif9oZZ9TW'),
+-- ('6QfdT1XZauUMCJU3SaN2d2aqdoFa4TDVNmxJig52ZGZT'),
+-- ('3M2dQzm6kz9ChDfaeX3xxqzn8BdeLjJEJv9JBd9WG2Jx'),
+-- ('6xMPaDn8jZ1r68BzXAunvumU8BTG2vDbgemNkWwRd1Fo'),
+-- ('3UFHt8qqRtHM2hZaCYRGKaF1gYfePcRYZFo2CdaadfMa'),
+-- ('Aewfbg61nn3SrFikqTsX2c8nZM8DXVbG7jpUp1Qwg22H'),
+-- ('3kZ7ZYjUGSFMhXbQ3twdCmqP1cgCjjBbZHRd8eXFFaja'),
+-- ('E9EpirpCKqJKnUTfhpUKzDKKFzVd7Q8RjjbdRVjPxXWX'),
+-- ('3Q7bWprdJZ5JUDoy2wBAcoKzgp7mZ3ChPaR8o3SUf7EN'),
+-- ('27NdJihiGpbg1kgHwAjk4UDUScTjEg7BDTo6urHjB3Cr'),
+-- ('BTJk52ULuadhdzYWpK2io1urPVfqEpqoH3sS4yg4b8Z2'),
+-- ('2fnRmNSYMTuyGw58UdZTrEgb2NmjNXvyRzqU9FJG31Q6'),
+-- ('GE5PnwZTgWw1YqVGno2QPWqie6aLjswNeGFhiF1nDg3k'),
+-- ('9r7p8uQiwRMRqQwAGDHUQ1Lmtjt4auNTxK7TgWg75J7C'),
+-- ('4N41X5S1GaqKQhZvqQsE7aKCpEm2xhswKTznQoxuJEmv'),
+-- ('FT78Vsmv2hWj8PK9HN1rtGEdKtt4Ajd2RSsxhrUt5nVG'),
+-- ('FML97BaUTVJX15T8tCU5LUbcpvJkHQ5RcZXmV354PzRt'),
+-- ('CpVNBP8bbFvT7Yt3zwTnCaXt26XojQxduNXaMz57DGLf'),
+-- ('77RWuJjzTgswsgUafvhSNDAbGxHcUHQPZ3ogpvNr3eB'),
+-- ('3ddwpbz7aXr6ZD7ybMZcUMTm76pgeszJekSkLdS931EH'),
+-- ('4KaVawPKmG1RZCv698XD9YzRsJcFPXrEoYnZbdZmfFFq'),
+-- ('HRL9mVQav58fLGJpN16qT55nXuk8S7Lx33Gvw2SHRHK5'),
+-- ('AeqgApsq3CoopttTpohuLiXj53EauJ78ophVvy8hrfkt'),
+-- ('51pcMTBEKwiKRVrCV5EmmHazsWetGDUxKkxoc5r3248'),
+-- ('5pKTV6EhcyFQPBbEDEATyDiUHM4kDZddtopRLq7o8kJj'),
+-- ('66VSSN5FiwkDXCSJ5ydNCZm8RD1DwVKXuwaeFBGJ5fKg'),
+-- ('3qTNSWq6o7hfb7RgSz6GzxDMNLgrjVuwKqFD2kJznuRB'),
+-- ('3fZcDhWXTBvNMkgzkyMmqxMizfysnvFZw5CzR7pnuxRz'),
+-- ('F8pWbg5zGXnzghmAtNW9SQPQYwP1RkyzsHs6KZTBh7Dg'),
+-- ('DuDEvMussH5iKvBPaa6mSVyJY39fPQKNEPUyT5c19S2x'),
+-- ('98oWTwQBBEyhhLMcUrgy2gta7zmVHZavQmcS8z98PDHe'),
+-- ('EPS4j3XEBas8okzQCe2CeuwKf6w6aif5ED4GMj3mqv4r'),
+-- ('5Xu8p9emHTkuNQkPN6D2ygkJypWo1nbUzbjYHUfXcNuR'),
+-- ('Hk7gzrcANZpqBnYCHeBEuxFk18HLu9Tey7TrNroyPVK7'),
+-- ('Goc5dPcEM94cFW97k92XNoT45vR89isxSEjxqE3VTvhv'),
+-- ('A3wcLYiBQdW5Uf5TXxbvuueJYh8pfAy57cbuE5fQJBeS'),
+-- ('D6DLAnP1NnimNYuHNDhJZfGkD1TmiKENWG2PrdhL8qLP'),
+-- ('CGnKC5zME8G36ftGLq1wrmQxw3SUgzVojJmVNXpidC6k'),
+-- ('8oTVjgucrArfQgyGFy2AiEKz6QDhW6ATTJQ1nSkG3wAr'),
+-- ('4k22yKKbCsrq7QhCd89ZXFcxhSbGmszA92H2KhthpgKq'),
+-- ('dR4GCDofsA6ZpBqzQpQJeob4msVspyASATbqW4sC4YM'),
+-- ('DNfuF1L62WWyW3pNakVkyGGFzVVhj4Yr52jSmdTyeBHm'),
+-- ('2ANPc28rr67W8StfCFzfuY3ZbKp9FCJ9tfBc17pRK7sY'),
+-- ('9cQcY83s45VsMwVmFHFUR2HVG5j9Rc3K8HU4hzLaXnWs'),
+-- ('HjHBsicgsMqSrU9VPSas8sKYLGtCfwMzfiYHzfMEta6f'),
+-- ('5c511kvVfCGrEsLkNb6RoVqqA5BpimGHyhkE3ki4kWkX'),
+-- ('7xgxtHJX21bvXozPsmyVCi88qChqxZR4e84ckXgrTeFp'),
+-- ('D7hpLQ4VEKAr2ALHZqT7JjTLqgBGsRqJZrbfzxPcyVtD'),
+-- ('6mh7mv8JGBqmnV86NFJoVS3fkYgdbxCmxVys1vK3dB6t'),
+-- ('3v6XiVAbays5FiZy6sWuriLHfC77EAX9mtB57Hf8VmpQ'),
+-- ('Gy5GSoHmrfnv49TZHku1bxNv2Dy4tFDjgm7vGbmp8S2h'),
+-- ('2geGo4wz6KgBb84Az6MM8w1dDnXoW6wmyX3hkEstAXJw'),
+-- ('9UPcMHdTw8pJSvv13dH1tGawwCjSCSjjxwU5cKu9PTiq'),
+-- ('2k77ScTf9ULptpVRG4M4X6SRZiuUxWCTzG2RWBT7KnHR'),
+-- ('9wNu1SLCfouEsR4B8PCck6p15mcSgun7k5KEKDw43Cyu'),
+-- ('3nxNfz8fx4DPW37i97Qs4Ue4Z2zVinEFeDAAymwtEtYd'),
+-- ('Gg6PuMT9qs53QiSrrJsnLyh51xedbzKAV5JiQ9qHPQ7a'),
+-- ('7JYCpRR4ZnKnMuxgiRta6ogs1BrC1aURW7iZdiJytsPB'),
+-- ('2ydwYpyTwn1NrPpRN4n6NaHHtg82G65QAN2rQxX6e9ep'),
+-- ('AR6SjcFLzQoZXXLVbaKo4GbsvmKmKKobCfrXFHcqE6TN'),
+-- ('8Mnb87uUYXcqejP6RuUyDiX9Fd1unCA3YdM3zLGSVEPQ'),
+-- ('CfpFiySF5c63fvgtjjgbefjS2JSATJYeqp8qFQX76hKT'),
+-- ('CdCM27tboWquCEC3Pq3CRphSdiGV6Q48VewWmrxbUyYW')
+
+--     ),
+--     swap_table as (
+--         select
+--             block_time,
+--             tx_id,
+--             token_bought_amount,
+--             token_sold_amount,
+--             token_bought_mint_address,
+--             token_sold_mint_address,
+--             trader_id
+--         from
+--             dex_solana.trades
+--         where
+--             block_time > timestamp '2025-01-06 21:00:00 +08:00'
+--             and block_time < timestamp '2025-01-15 02:00:00 +08:00'
+--             and (
+--                 (
+--                     token_bought_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump'
+--                     and token_sold_mint_address = 'So11111111111111111111111111111111111111112'
+--                 )
+--                 or (
+--                     token_bought_mint_address = 'So11111111111111111111111111111111111111112'
+--                     and token_sold_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump'
+--                 )
+--             )
+--     ),
+--     swap_table_02 as (
+--         select
+--             trader_id,
+--             COALESCE(
+--                 SUM(
+--                     CASE
+--                         WHEN token_bought_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump' THEN token_bought_amount
+--                         ELSE 0
+--                     END
+--                 ),
+--                 0
+--             ) AS token_bought,
+--             COALESCE(
+--                 SUM(
+--                     CASE
+--                         WHEN token_bought_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump' THEN token_sold_amount
+--                         ELSE 0
+--                     END
+--                 ),
+--                 0
+--             ) AS eth_bought,
+--             COALESCE(
+--                 SUM(
+--                     CASE
+--                         WHEN token_bought_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump' THEN 1
+--                         ELSE 0
+--                     END
+--                 ),
+--                 0
+--             ) AS bought_count,
+--             COALESCE(
+--                 SUM(
+--                     CASE
+--                         WHEN token_sold_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump' THEN token_sold_amount
+--                         ELSE 0
+--                     END
+--                 ),
+--                 0
+--             ) AS token_sold,
+--             COALESCE(
+--                 SUM(
+--                     CASE
+--                         WHEN token_sold_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump' THEN token_bought_amount
+--                         ELSE 0
+--                     END
+--                 ),
+--                 0
+--             ) AS eth_sold,
+--             COALESCE(
+--                 SUM(
+--                     CASE
+--                         WHEN token_sold_mint_address = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump' THEN 1
+--                         ELSE 0
+--                     END
+--                 ),
+--                 0
+--             ) AS sold_count
+--         from
+--             swap_table
+--             inner join input_address on input_address.address = swap_table.trader_id
+--         group by
+--             trader_id
+--     )
+-- select
+--     trader_id as swap_trader_id,
+--     round((token_bought - token_sold) / 1e6, 2) as li_lun_hold,
+--     round(token_bought / 1e6, 2) as token_b_M,
+--     round(token_sold / 1e6, 2) as token_s_M,
+--     round(eth_bought, 2) as eth_b,
+--     round(eth_sold, 2) as eth_s,
+--     bought_count as b_count,
+--     sold_count as s_count,
+--     (
+--         CASE
+--             WHEN token_bought != 0 THEN round(eth_bought / token_bought * 1e6, 3)
+--             ELSE 0
+--         END
+--     ) as avg_b_pri,
+--     (
+--         CASE
+--             WHEN token_sold != 0 THEN round(eth_sold / token_sold * 1e6, 3)
+--             ELSE 0
+--         END
+--     ) as avg_s_pri
+-- from
+--     swap_table_02
+-- order by
+--     --  2 diff amount
+--     2
+--     --  3 buy amount
+--     -- 3
+--     -- 7 buy count
+--     -- 7
+--     -- 8 sell count
+--     -- 8
+--     desc

src/code/get_downloads_from_gmgn_pump.py

@@ -0,0 +1,273 @@
+import time
+import asyncio
+ 
+ 
+import json
+import datetime
+import signal
+import sys
+import math
+import requests
+ 
+from apscheduler.schedulers.background import BackgroundScheduler
+ 
+import os
+import traceback
+import re
+from apscheduler.schedulers.asyncio import AsyncIOScheduler
+
+old_print = print
+def keep_alnum_forgmgn(string):
+    return re.sub(r'[^a-zA-Z0-9\.\s\+\-]', ' ', string)
+
+def timestamped_print(*args, **kwargs):
+    old_print(datetime.datetime.utcnow().replace(
+        microsecond=0), *args, **kwargs)
+
+
+print = timestamped_print
+print('\n'*5)
+
+def global_exception_hook(exc_type, exc_value, exc_traceback):
+    print(f"Global exception: {exc_type.__name__} - {exc_value}")
+    traceback.print_tb(exc_traceback)
+    raise
+ 
+ 
+def term_sig_handler(signum, frame):   
+    # save_obj_unraydium_token()
+    print(f'catched singal: {signum}')
+    
+    sys.exit()
+
+
+def global_exception_hook(exc_type, exc_value, exc_traceback):
+    print(f"Global exception: {exc_type.__name__} - {exc_value}")
+    traceback.print_tb(exc_traceback)
+    raise
+
+
+int_pattern  = r"^\d+$"
+ 
+ 
+
+feishu_url = 'https://open.feishu.cn/open-apis/bot/v2/hook/a68cffbf-9104-427b-8e25-62dfaf363a47'
+utc_plus_8 = datetime.timezone(datetime.timedelta(hours=8))
+
+
+# flux 获取dlao swap info 保存进 obj_queueing_pairaddress 
+# 在一个定时器 的函数中 便利读取 obj_queueing_pairaddress ，对每一个元素进行check 如果可以买卖则进行买卖
+
+
+def send_token_info_to_feishu(token_info):
+    print("send_token_info_to_feishu token_info=",token_info)
+    return
+
+
+import pathlib
+import shutil
+
+import  pandas as pd
+ 
+set_has_read_file = set()
+df_for_feishu = pd.DataFrame()
+is_handleing_gmgn_file = False
+async def handle_Downloads_gmgn_pump_file_timed():
+        
+        global set_has_read_file,is_handleing_gmgn_file  ,df_for_feishu
+
+        if is_handleing_gmgn_file==True:
+            return
+        is_handleing_gmgn_file = True
+        
+        arr_csv_file = [f for f in os.listdir(
+            "/root/Downloads/") if f.endswith(".csv")]
+        cur_now_timestamp = int(time.time()*1000)
+        print("arr_csv_file=",arr_csv_file)
+
+        for csv_file in arr_csv_file:
+            
+            handle_csv_file = csv_file.replace(".csv","")
+            
+        
+            if "_gmgn_filter" in handle_csv_file:
+                str_timestamp = handle_csv_file.replace("_gmgn_filter","")
+            else:
+                # print("not _gmgn_filter handle_csv_file=",handle_csv_file)
+                
+                os.remove(f"/root/Downloads/{csv_file}")
+                continue
+
+            if not re.match(int_pattern, str_timestamp):
+                # print("not match handle_csv_file=",handle_csv_file)
+                os.remove(f"/root/Downloads/{csv_file}")
+                continue
+            csv_file_timestamp = int(str_timestamp)
+            # 24小时以前的文件直接删除
+            if cur_now_timestamp - csv_file_timestamp >= 24*60 * 60 * 1000:
+                # os.path.exists(f"/root/Downloads/{csv_file}"):
+                # print("24小时以前 handle_csv_file=",handle_csv_file)
+                os.remove(f"/root/Downloads/{csv_file}")
+        #重新获取当前csv文本 
+        arr_csv_file = [f for f in os.listdir(
+            "/root/Downloads/") if f.endswith(".csv")]
+        set_cur_file = set(arr_csv_file)
+        
+        arr_cur_no_read_file =list (set_cur_file - set_has_read_file)
+        if len(arr_cur_no_read_file)==0:
+            print("no read_file")
+            is_handleing_gmgn_file = False
+            return
+        df = None
+   
+        try:
+            for csv_file in arr_cur_no_read_file:
+                cur_df = pd.read_csv(f"/root/Downloads/{csv_file}",dtype=object)
+                str_save_timestamp = csv_file.replace("_gmgn_filter.csv","")
+                cur_df["save_timestamp"] = str_save_timestamp
+                df =pd.concat([df,cur_df])
+         
+        except Exception as e:
+            print(e)
+            print("arr_cur_no_read_file=",arr_cur_no_read_file   )
+            is_handleing_gmgn_file = False
+            return
+
+        if os.path.exists(f"/home/listen_from_browser/df_gmgn_pump_total.csv" ):
+            df.to_csv(f"/home/listen_from_browser/df_gmgn_pump_total.csv",  mode='a',header =False , index = False  )
+            
+        else:
+            df.to_csv(f"/home/listen_from_browser/df_gmgn_pump_total.csv",  index = False  )
+            
+        df = pd.read_csv(f"/home/listen_from_browser/df_gmgn_pump_total.csv",dtype=object)
+        df["save_timestamp"] = df["save_timestamp"].astype(int)
+        # 删除 10 天前保存的数据
+        df =df[df["save_timestamp"]>=  int(cur_now_timestamp - 10 * 24*60 * 60 * 1000)].reset_index(drop=True)
+        df = df.drop_duplicates(subset='token_url', keep='last')
+        
+        df.to_csv(f"/home/listen_from_browser/df_gmgn_pump_total.csv",  index = False  )
+        
+        
+        df_for_feishu   =df[df["save_timestamp"] ==df["save_timestamp"].max()].reset_index(drop=True)
+        df_for_feishu = df_for_feishu[df_for_feishu['age'].str.contains('h', case=False, na=False)].reset_index(drop=True)
+        
+        df_for_feishu['age'] = df_for_feishu['age'].str.replace('h', '', case=False)
+        df_for_feishu["age"] = df_for_feishu["age"].astype(int)
+        df_for_feishu = df_for_feishu[df_for_feishu["age"] <= 24].reset_index(drop=True)
+       
+        df_for_feishu=df_for_feishu[ ['token_url', 'token_name', 'age', 'mc', 'holders' ,'save_timestamp'  ] ]
+        
+
+        set_has_read_file = set(arr_csv_file)
+        is_handleing_gmgn_file = False
+        return
+
+
+async def send_feishu(title,str_text):
+
+    payload_message = {
+        "msg_type": "post",
+        "content": {
+            "post": {
+                "zh_cn": {
+                    "title": title ,
+                    "content": [
+                        
+                    ]
+                }
+            }
+        }
+    }
+
+    headers = {
+        "Content-Type": "application/json; charset=utf-8",
+    }
+    content = []
+     
+
+    content.append([{
+        "tag": "text",
+        'text':  str_text
+    } 
+    ])
+
+    payload_message["content"]["post"]["zh_cn"]["content"] = content
+    payload_message["content"] = json.dumps(payload_message["content"])
+
+    payload_message = json.dumps(payload_message)
+    response = requests.post(
+        url=feishu_url, headers=headers, data=payload_message)
+    # response_json = response.json()
+    # print("response_json=",response_json)
+    return 
+     
+
+async def send_cur_files_feishu_timed():
+    global set_has_read_file
+    arr_has_read_file = list(set_has_read_file)
+    str_text =  "\n".join(arr_has_read_file)
+
+    await send_feishu( title = "read files",str_text =str_text)
+
+
+    return
+
+async def ready_send_feishu_timed():
+    global df_for_feishu
+ 
+    str_text_df = df_for_feishu.to_csv(index=False).strip().replace(","," , ")
+ 
+    if str_text_df=="":
+        return
+
+    await send_feishu( title= "gmgn 12小时内的pump 信息" , str_text=str_text_df)
+    df_for_feishu=pd.DataFrame()
+    return
+
+
+ 
+obj_global_info ={
+    "timedTasks_idx":0
+}
+
+sys.excepthook = global_exception_hook
+signal.signal(signal.SIGTERM, term_sig_handler)
+signal.signal(signal.SIGINT, term_sig_handler)
+print(f"Begin Listening for messages containing  in chats ichat names...")
+ 
+ 
+async def timedTasks():
+    global obj_global_info
+    obj_global_info["timedTasks_idx"]+=1
+    cur_timedTasks_idx =obj_global_info["timedTasks_idx"] 
+    if cur_timedTasks_idx <5:
+        return
+
+    if cur_timedTasks_idx%7300 == 0:
+        obj_global_info["timedTasks_idx"]=10
+
+    if cur_timedTasks_idx%3600==0:
+        await handle_Downloads_gmgn_pump_file_timed()
+
+    if cur_timedTasks_idx%(3600*2+9)==0:
+        #  一次飞书
+        await ready_send_feishu_timed()
+   
+
+    if cur_timedTasks_idx%(3600*2+120+9)==0:
+    #  一次飞书
+        await send_cur_files_feishu_timed()
+
+    return
+
+ 
+# scheduler = BackgroundScheduler({'apscheduler.timezone': 'UTC'})
+scheduler = AsyncIOScheduler({'apscheduler.timezone': 'UTC'})
+scheduler.add_job(timedTasks, "interval", seconds=1)   
+# scheduler.add_job(func=timedTasks, trigger="cron", seconds=10)   
+# '*/1 * * * * *'
+
+scheduler.start()
+ 
+asyncio.get_event_loop().run_forever()
+# client_bill.run_until_disconnected()

src/code/tamper_get_top_sol_gmgn_nowuse.js → src/code/tamper/tamper_get_top_sol_gmgn_nowuse.js

@@ -72,7 +72,7 @@ function getCurrentTime() {
     let second = zeroFill(date.getSeconds());//秒
 
     //当前时间
-    var curTime =  month + day + '_' + hour + minute ;
+    var curTime = month + day + '_' + hour + minute;
     return curTime;
 }
 
@@ -80,19 +80,21 @@ function getCurrentTime() {
 function get_thead_arr_toptrader() {
 
     // let titlearr = _thead.innerText.trim().split(/\r?\n/);
-    let titlearr = ['Maker', 'SOL', 'Buy_sol', 'Buy_token_M', 'Sell_sol', 'Sell_token_M', 'Pnl_sol', 'Pnl_per', 'buy_cout', 'sell_cout'];
+    let titlearr = ['Maker', 'SOL', 'Buy_sol', 'Buy_token_M', 'buy_cout', 'Sell_sol', 'Sell_token_M', 'sell_cout', 'Pnl_sol', 'Pnl_per',];
     return titlearr;
 }
 
 async function get_tbody_data_toptrader() {
 
-    let div_has_tran_table = document.querySelector("div.chakra-tabs__tab-panels.css-2zi8qu");
+    let div_has_tran_table = document.querySelector("div.ag-root-wrapper-body.ag-focus-managed.ag-layout-normal > div.ag-root.ag-unselectable.ag-layout-normal.ag-body-vertical-content-no-gap.ag-body-horizontal-content-no-gap");
+
+
     let tbody = div_has_tran_table.querySelector("div.ag-body.ag-layout-normal div.ag-center-cols-viewport div.ag-center-cols-container");
 
     let arr_tbody_trs;
     arr_tbody_trs = Array.from(tbody.children);
     let last_tr = arr_tbody_trs[arr_tbody_trs.length - 1];
-    let last_row_id = parseInt(last_tr.getAttribute('row-id'));
+    let last_row_id = parseInt(last_tr.getAttribute('row-index'));
     if (arr_res_data_toptrader.length - 1 >= last_row_id + 1) {
         // 这批已经全部获取了 
         return false;
@@ -101,7 +103,7 @@ async function get_tbody_data_toptrader() {
 
     for (let i = 0; i < arr_tbody_trs.length; i++) {
 
-        let cur_row_id = parseInt(arr_tbody_trs[i].getAttribute('row-id'));
+        let cur_row_id = parseInt(arr_tbody_trs[i].getAttribute('row-index'));
         if (arr_res_data_toptrader.length - 1 >= cur_row_id + 1) {
             continue;
         }
@@ -141,18 +143,23 @@ async function get_tbody_data_toptrader() {
 
             else if (i == 3) {
                 // bought
-                let arr_sol_amount = arr_tds[i].children[0].children;
-                if (arr_sol_amount.length == 1) {
-                    // 为 --
-                    tdtexts.push(0);
-                    tdtexts.push(0);
-                    continue;
-                }
+
+                // sol
+                // token txns
+
+                let arr_sol_amount_txns = arr_tds[i].children[0].children;
+                // if (arr_sol_amount_txns.length == 1) {
+                //     // 为 --
+                //     tdtexts.push(0);
+                //     tdtexts.push(0);
+                //     tdtexts.push(0);
+                //     continue;
+                // }
 
 
                 let str_sol = "0";
                 let float_sol;
-                str_sol = arr_sol_amount[0].innerText.trim().toLowerCase();
+                str_sol = arr_sol_amount_txns[0].innerText.trim().toLowerCase();
                 str_sol = str_sol.replace(/[sol$,%\+><]/g, "").trim();
                 // if (str_sol == "--") {
                 //     str_sol = "0";
@@ -160,65 +167,57 @@ async function get_tbody_data_toptrader() {
 
                 let str_token_amount = "0";
                 let float_token_amount;
-
-                
-                str_token_amount = arr_sol_amount[1].innerText.trim().toLowerCase();
-                // if (str_token_amount == "--") {
-                //     str_token_amount = "0";
-                // }
+                let arr_token_amount_txns = [];
+                let float_txns;
 
 
+                arr_token_amount_txns = arr_sol_amount_txns[1].innerText.trim().toLowerCase().split('/');
+                str_token_amount = arr_token_amount_txns[0].trim();
+                str_txns = arr_token_amount_txns[1].trim();
 
                 float_sol = get_float_number(str_sol);
-                // for (let number_char of number_chars_arr) {
-                //     if (str_sol.indexOf(number_char) != -1) {
-                //         float_sol = parseFloat(str_sol) * 10 ** number_chars_obj[number_char];
-                //     }
-                // }
                 tdtexts.push(float_sol);
 
-
                 float_token_amount = get_float_number(str_token_amount);
-                // for (let number_char of number_chars_arr) {
-                //     if (str_token_amount.indexOf(number_char) != -1) {
-                //         float_token_amount = parseFloat(str_token_amount) * 10 ** number_chars_obj[number_char];
-                //     }
-                // }
-                tdtexts.push(float_token_amount/1e6);
+                float_txns = get_float_number(str_txns);
+                tdtexts.push(float_token_amount / 1e6);
+                tdtexts.push(float_txns);
 
             } else if (i == 4) {
                 // sold
 
-                let arr_sol_amount = arr_tds[i].children[0].children;
-                if (arr_sol_amount.length == 1) {
-                    tdtexts.push(0);
-                    tdtexts.push(0);
-                    continue;
-                }
+                let arr_sol_amount_txns = arr_tds[i].children[0].children;
+                // if (arr_sol_amount_txns.length == 1) {
+                //     tdtexts.push(0);
+                //     tdtexts.push(0);
+                //     tdtexts.push(0);
+                //     continue;
+                // }
 
                 let str_sol = "0";
                 let float_sol;
-                str_sol = arr_sol_amount[0].innerText.trim().toLowerCase();
+                str_sol = arr_sol_amount_txns[0].innerText.trim().toLowerCase();
                 str_sol = str_sol.replace(/[sol$,%\+><]/g, "").trim();
                 // if (str_sol == "--") {
                 //     str_sol = "0";
                 // }
-
                 let str_token_amount = "0";
                 let float_token_amount;
-                str_token_amount = arr_sol_amount[1].innerText.trim().toLowerCase();
-                // if (str_token_amount == "--") {
-                //     str_token_amount = "0";
-                // }
+                let arr_token_amount_txns = [];
+                let float_txns;
 
 
+                arr_token_amount_txns = arr_sol_amount_txns[1].innerText.trim().toLowerCase().split('/');
+                str_token_amount = arr_token_amount_txns[0].trim();
+                str_txns = arr_token_amount_txns[1].trim();
 
                 float_sol = get_float_number(str_sol);
-
                 tdtexts.push(float_sol);
 
                 float_token_amount = get_float_number(str_token_amount);
-                tdtexts.push(float_token_amount/1e6);
+                float_txns = get_float_number(str_txns);
+                tdtexts.push(float_token_amount / 1e6);
+                tdtexts.push(float_txns);
 
 
             } else if (i == 5) {
@@ -278,27 +277,6 @@ async function get_tbody_data_toptrader() {
                 continue
 
             } else if (i == 10) {
-                // TXs
-                let arr_buy_sell_cout = arr_tds[i].children[0].children;
-
-                let str_buy_cout = "0";
-                str_buy_cout = arr_buy_sell_cout[0].innerText.trim().toLowerCase();
-                str_buy_cout = str_buy_cout.replace(/[sol$,%\+><]/g, "").trim();
-
-                let str_sell_cout = "0";
-                str_sell_cout = arr_buy_sell_cout[1].innerText.trim().toLowerCase();
-                str_sell_cout = str_sell_cout.replace(/[sol$,%\+><]/g, "").trim();
-
-
-                let float_buy_cout = get_float_number(str_buy_cout);
-                tdtexts.push(float_buy_cout);
-
-                let float_sell_cout = get_float_number(str_sell_cout);
-                tdtexts.push(float_sell_cout);
-
-                continue
-
-            } else if (i == 11) {
                 // Last Active
                 continue
 
@@ -331,7 +309,8 @@ function autoScroll_toptrader() {
     let interval;
     let scroll_times = 15;
 
-    let div_has_tran_table = document.querySelector("div.chakra-tabs__tab-panels.css-2zi8qu");
+
+    let div_has_tran_table = document.querySelector("div.ag-root-wrapper-body.ag-focus-managed.ag-layout-normal > div.ag-root.ag-unselectable.ag-layout-normal.ag-body-vertical-content-no-gap.ag-body-horizontal-content-no-gap");
     let tbody = div_has_tran_table.querySelector("div.ag-body.ag-layout-normal div.ag-center-cols-viewport div.ag-center-cols-container");
 
 
@@ -435,8 +414,10 @@ async function clickButton_get_toptrader() {
     console.log("  tab_top_trader_click click=");
     await tab_top_trader_click.click();
     await sleep(7000);
-    let div_has_tran_table = document.querySelector("div.chakra-tabs__tab-panels.css-2zi8qu");
-    let _thead = div_has_tran_table.querySelector("div.css-c6kdal div.ag-header-row.ag-header-row-column");
+    let div_has_tran_table = document.querySelector("div.ag-root-wrapper-body.ag-focus-managed.ag-layout-normal > div.ag-root.ag-unselectable.ag-layout-normal.ag-body-vertical-content-no-gap.ag-body-horizontal-content-no-gap");
+    let _thead = div_has_tran_table.querySelector("div.ag-header.ag-pivot-off.ag-header-allow-overflow div.ag-header-viewport div.ag-header-row.ag-header-row-column ");
+
+
     let arr_th = _thead.children;
     let tab_click_USD_toptrader = arr_th[5].querySelector("div.css-1vimx2u");
     if (tab_click_USD_toptrader.innerText.includes("USD")) {

src/code/tamper/xmlhttprequest_get_top_trader_gmgn.js

@@ -0,0 +1,127 @@
+// ==UserScript==
+// @name         GMGN Token Traders Monitor
+// @namespace    http://tampermonkey.net/
+// @version      0.3
+// @description  Monitor GMGN token traders API and log response
+// @author       Grok
+// @match        https://gmgn.ai/sol/token/*
+// @grant        none
+// ==/UserScript==
+
+function funcDownload(content, filename) {
+    console.log('begin download');
+    // 创建隐藏的可下载链接
+    let eleLink = document.createElement('a');
+    eleLink.download = filename;
+    eleLink.style.display = 'none';
+    // 字符内容转变成blob地址
+    let blob = new Blob([content]);
+    eleLink.href = URL.createObjectURL(blob);
+    // 触发点击
+    document.body.appendChild(eleLink);
+    eleLink.click();
+    // 然后移除
+    document.body.removeChild(eleLink);
+}
+
+
+function sleep(sleepdelay) {
+    return new Promise((resolve, reject) => {
+        setTimeout(() => {
+            resolve(sleepdelay);
+        }, sleepdelay);
+    })
+}
+
+function timestampToString(timestamp) {
+    if (!timestamp) return '';
+    const date = new Date(timestamp * 1000);
+    return date.toLocaleString('zh-CN', {
+        year: 'numeric',
+        month: '2-digit',
+        day: '2-digit',
+        hour: '2-digit',
+        minute: '2-digit',
+        second: '2-digit',
+        hour12: false
+    }).replace(/\//g, '-');
+}
+var arr_json_res_data = [];
+function clickButton_get_toptrader() {
+    var originalXhrOpen = XMLHttpRequest.prototype.open;
+    var old_open = XMLHttpRequest.prototype.open;
+
+    let str_token_address = window.location.pathname.slice(1).split('/').pop();
+    str_token_address = str_token_address.split('?')[0];
+
+    XMLHttpRequest.prototype.open = function (method, url) {
+        if (url.includes(`/vas/api/v1/token_traders/sol/${str_token_address}`)) {
+            console.log('Matched target API in XHR:', url);
+            this.addEventListener('load', function () {
+                try {
+                    const response = JSON.parse(this.responseText);
+                    if (response.code === 0 && response.data && response.data.list) {
+                        arr_json_res_data = response.data.list;
+                        console.log('Original Data:', arr_json_res_data);
+                        funcDownload(JSON.stringify(arr_json_res_data), `top_trader_gmgn_${str_token_address}.json`);
+
+                        XMLHttpRequest.prototype.open = old_open;
+                        originalXhrOpen = null;
+
+
+                    } else {
+                        console.log('No valid list data found in response');
+                    }
+                } catch (err) {
+                    console.error('XHR JSON parse error:', err);
+                    console.log('XHR Raw Response:', this.responseText);
+                }
+            });
+        }
+        originalXhrOpen.apply(this, arguments);
+
+
+    };
+    // const observer = new MutationObserver((mutations) => {
+    //     console.log('DOM changed, mutations:', mutations.length);
+    // });
+    // observer.observe(document.body, { childList: true, subtree: true });
+
+    console.log('Script initialized');
+
+
+
+}
+
+
+(async function () {
+    console.log("enter load");
+    await sleep(6000);
+    console.log("create button");
+
+    var mydivbox = document.createElement("div");
+
+    var button_get_toptrader = document.createElement("button");//创建 获取 top trader 一个按钮
+    button_get_toptrader.className = "tam-mybutton-gettran"
+    button_get_toptrader.textContent = "top_sol"; //按钮内容
+    button_get_toptrader.style.width = "90px"; //按钮宽度
+    button_get_toptrader.style.height = "20px"; //按钮高度
+    button_get_toptrader.style.align = "center"; //文本居中
+    button_get_toptrader.style.color = "blue"; //按钮文字颜色
+    button_get_toptrader.style.background = "#717171"; //按钮底色
+    button_get_toptrader.style.border = "1px solid #717171"; //边框属性
+
+    mydivbox.appendChild(button_get_toptrader);
+
+    mydivbox.style.position = "fixed";
+    mydivbox.style.top = "160px";
+    mydivbox.style.right = "40px";
+    document.body.appendChild(mydivbox);
+
+
+
+    button_get_toptrader.addEventListener("click", clickButton_get_toptrader); //监听按钮点击事件
+
+
+})();
+

src/code/tamper/xmlreq.json

@@ -0,0 +1,4987 @@
+{
+    "code": 0,
+    "reason": "",
+    "message": "success",
+    "data": {
+        "list": [
+            {
+                "address": "1jCDBjdQB8UDJtMcniAnMKcu7FPQFhY9znPZspw3UDc",
+                "account_address": "9geNPnpj51mTarhojQJJUWzCPonVh89zgRG8BTeGadT3",
+                "addr_type": 0,
+                "amount_cur": 0,
+                "usd_value": 0,
+                "cost_cur": 0,
+                "sell_amount_cur": 37639422.14661,
+                "sell_amount_percentage": 1,
+                "sell_volume_cur": 11749.736474607651,
+                "buy_volume_cur": 722.001981398285,
+                "buy_amount_cur": 38639422.14661,
+                "netflow_usd": -11027.734493209366,
+                "netflow_amount": 1000000,
+                "buy_tx_count_cur": 2,
+                "sell_tx_count_cur": 52,
+                "wallet_tag_v2": "TOP1",
+                "native_balance": "0",
+                "balance": 0,
+                "profit": 11097.434551132645,
+                "realized_profit": 11097.434551132645,
+                "profit_change": 17.012727008397153,
+                "amount_percentage": 0,
+                "unrealized_profit": 0,
+                "unrealized_pnl": null,
+                "avg_cost": 0.00001868563092529657,
+                "avg_sold": 0.00031216569767838196,
+                "accu_amount": 0,
+                "accu_cost": 0,
+                "cost": 0,
+                "total_cost": 652.3019234750058,
+                "transfer_in": false,
+                "is_new": false,
+                "is_suspicious": false,
+                "start_holding_at": 1720478449,
+                "end_holding_at": 1720501944,
+                "last_active_timestamp": 1720501944,
+                "native_transfer": null,
+                "tags": [
+                    "bullx"
+                ],
+                "maker_token_tags": [],
+                "name": null,
+                "avatar": null,
+                "twitter_username": null,
+                "twitter_name": null,
+                "created_at": 1719605447
+            },
+            {
+                "address": "GnKnZ4Q47pDCQ3QBgdvU5KDBdb8UxDAoshMc146Eqa5D",
+                "account_address": "J72wHeZz2Q48Lhp318nEwEgAYiCPs6BpK3Swg5NcxdUx",
+                "addr_type": 0,
+                "amount_cur": 0,
+                "usd_value": 0,
+                "cost_cur": 0,
+                "sell_amount_cur": 27277914.971536,
+                "sell_amount_percentage": 1,
+                "sell_volume_cur": 10100.329384940991,
+                "buy_volume_cur": 586.073000968655,
+                "buy_amount_cur": 27277914.971536,
+                "netflow_usd": -9514.256383972335,
+                "netflow_amount": 0,
+                "buy_tx_count_cur": 3,
+                "sell_tx_count_cur": 51,
+                "wallet_tag_v2": "TOP2",
+                "native_balance": "955200",
+                "balance": 0,
+                "profit": 9514.256383972335,
+                "realized_profit": 9514.256383972335,
+                "profit_change": 16.233910055995203,
+                "amount_percentage": 0,
+                "unrealized_profit": 0,
+                "unrealized_pnl": null,
+                "avg_cost": 0.000021485256537393398,
+                "avg_sold": 0.00037027497869542074,
+                "accu_amount": 0,
+                "accu_cost": 0,
+                "cost": 0,
+                "total_cost": 586.073000968655,
+                "transfer_in": false,
+                "is_new": false,
+                "is_suspicious": false,
+                "start_holding_at": 1720478922,
+                "end_holding_at": 1720501058,
+                "last_active_timestamp": 1720501058,
+                "native_transfer": {
+                    "name": null,
+                    "from_address": "8pyK1zKZLPHxschD8hgJrmQ31BoSBFmaGJk6MFbSRbz4",
+                    "timestamp": 1736985485
+                },
+                "tags": [
+                    "bullx"
+                ],
+                "maker_token_tags": [],
+                "name": null,
+                "avatar": null,
+                "twitter_username": null,
+                "twitter_name": null,
+                "created_at": 1718949339
+            },
+            {
+                "address": "FRZsB6WCRuyBrzKRDQVyjKVuzWs8cWjSNWVyB4CpTtcB",
+                "account_address": "2CV45Y8coXhej7d17r74yLUho88LA6CbDyRYa37UsVLg",
+                "addr_type": 0,
+                "amount_cur": 0,
+                "usd_value": 0,
+                "cost_cur": 0,
+                "sell_amount_cur": 69510224.832651,
+                "sell_amount_percentage": 1,
+                "sell_volume_cur": 21718.93751724264,
+                "buy_volume_cur": 13669.60375396476,
+                "buy_amount_cur": 69510224.832651,
+                "netflow_usd": -8049.33376327788,
+                "netflow_amount": 0,
+                "buy_tx_count_cur": 23,
+                "sell_tx_count_cur": 28,
+                "wallet_tag_v2": "TOP3",
+                "native_balance": "18995000",
+                "balance": 0,
+                "profit": 8049.333763277881,
+                "realized_profit": 8049.333763277881,
+                "profit_change": 0.5888490923479209,
+                "amount_percentage": 0,
+                "unrealized_profit": 0,
+                "unrealized_pnl": null,
+                "avg_cost": 0.00019665601408821431,
+                "avg_sold": 0.00031245672948881925,
+                "accu_amount": 0,
+                "accu_cost": 0,
+                "cost": 0,
+                "total_cost": 13669.60375396476,
+                "transfer_in": false,
+                "is_new": false,
+                "is_suspicious": false,
+                "start_holding_at": 1720601908,
+                "end_holding_at": 1720604669,
+                "last_active_timestamp": 1720604669,
+                "native_transfer": null,
+                "tags": [],
+                "maker_token_tags": [],
+                "name": null,
+                "avatar": null,
+                "twitter_username": null,
+                "twitter_name": null,
+                "created_at": 0
+            },
+            {
+                "address": "6Tc8vHpFEpLyC3Z33AsVR9vRdLnTEZUwHgW8yV2XtXzJ",
+                "account_address": "be2ws3JhV8o9tdaLAgQjLHND67vd8T6GhQFArT1pRLg",
+                "addr_type": 0,
+                "amount_cur": 0,
+                "usd_value": 0,
+                "cost_cur": 0,
+                "sell_amount_cur": 42326162.089325,
+                "sell_amount_percentage": 1,
+                "sell_volume_cur": 11500.36393608314,
+                "buy_volume_cur": 3699.88808857032,
+                "buy_amount_cur": 42326162.089325,
+                "netflow_usd": -7800.47584751282,
+                "netflow_amount": 0,
+                "buy_tx_count_cur": 13,
+                "sell_tx_count_cur": 5,
+                "wallet_tag_v2": "TOP4",
+                "native_balance": "0",
+                "balance": 0,
+                "profit": 7800.47584751282,
+                "realized_profit": 7800.47584751282,
+                "profit_change": 2.1083004839011266,
+                "amount_percentage": 0,
+                "unrealized_profit": 0,
+                "unrealized_pnl": null,
+                "avg_cost": 0.00008741373906668144,
+                "avg_sold": 0.00027170816744057275,
+                "accu_amount": 0,
+                "accu_cost": 0,
+                "cost": 0,
+                "total_cost": 3699.88808857032,
+                "transfer_in": false,
+                "is_new": false,
+                "is_suspicious": false,
+                "start_holding_at": null,
+                "end_holding_at": null,
+                "last_active_timestamp": 1720493200,
+                "native_transfer": {
+                    "name": null,
+                    "from_address": "A9Lucr5GsaFWTyAzx623S9tf8PkkkDLQ5YVCTProxCtS",
+                    "timestamp": 1740868493
+                },
+                "tags": [
+                    "bullx"
+                ],
+                "maker_token_tags": [],
+                "name": null,
+                "avatar": null,
+                "twitter_username": null,
+                "twitter_name": null,
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+                "total_cost": 206.356187879745,
+                "transfer_in": false,
+                "is_new": false,
+                "is_suspicious": false,
+                "start_holding_at": null,
+                "end_holding_at": null,
+                "last_active_timestamp": 1720480578,
+                "native_transfer": {
+                    "name": null,
+                    "from_address": "5f9CJsCW3v9ijqSLQJMDXJMNeXN7SQNvNYKEyiYUNjwN",
+                    "timestamp": 1740266437
+                },
+                "tags": [],
+                "maker_token_tags": [],
+                "name": null,
+                "avatar": null,
+                "twitter_username": null,
+                "twitter_name": null,
+                "created_at": 1736194953
+            },
+            {
+                "address": "81nTDVdocgwZRXtDoX9waDGdYQJQYzAyNuRhx9QSt4nc",
+                "account_address": "4ve7MrsK7MCp4fqeh8Yk6ZBVzQ22csi6atHj6bX8MDD",
+                "addr_type": 0,
+                "amount_cur": 0,
+                "usd_value": 0,
+                "cost_cur": 0,
+                "sell_amount_cur": 6809818.776032,
+                "sell_amount_percentage": 1,
+                "sell_volume_cur": 1871.185973330539,
+                "buy_volume_cur": 1127.215,
+                "buy_amount_cur": 6809818.776032,
+                "netflow_usd": -743.970973330539,
+                "netflow_amount": 0,
+                "buy_tx_count_cur": 2,
+                "sell_tx_count_cur": 4,
+                "wallet_tag_v2": "TOP94",
+                "native_balance": "4921451461",
+                "balance": 0,
+                "profit": 743.9709733305388,
+                "realized_profit": 743.9709733305388,
+                "profit_change": 0.660008049334456,
+                "amount_percentage": 0,
+                "unrealized_profit": 0,
+                "unrealized_pnl": null,
+                "avg_cost": 0.00016552789979777034,
+                "avg_sold": 0.00027477764605372606,
+                "accu_amount": 0,
+                "accu_cost": 0,
+                "cost": 0,
+                "total_cost": 1127.215,
+                "transfer_in": false,
+                "is_new": false,
+                "is_suspicious": false,
+                "start_holding_at": 1720564195,
+                "end_holding_at": 1720594095,
+                "last_active_timestamp": 1720594095,
+                "native_transfer": {
+                    "name": null,
+                    "from_address": "ChGA1Wbh9WN8MDiQ4ggA5PzBspS2Z6QheyaxdVo3XdW6",
+                    "timestamp": 1741115815
+                },
+                "tags": [],
+                "maker_token_tags": [],
+                "name": null,
+                "avatar": null,
+                "twitter_username": null,
+                "twitter_name": null,
+                "created_at": 1710154261
+            },
+            {
+                "address": "BztTG46ZUMvcdTTAZsV7i5KxpyF4AHTF4MZ16szcD6qG",
+                "account_address": "F5Cfm1dtshJxxAw6vhiYhLeCPzykq597gYJtCExynVW2",
+                "addr_type": 0,
+                "amount_cur": 0,
+                "usd_value": 0,
+                "cost_cur": 0,
+                "sell_amount_cur": 1470199.534152,
+                "sell_amount_percentage": 1,
+                "sell_volume_cur": 794.72461007121,
+                "buy_volume_cur": 68.596707794685,
+                "buy_amount_cur": 1470199.534152,
+                "netflow_usd": -726.127902276525,
+                "netflow_amount": 0,
+                "buy_tx_count_cur": 1,
+                "sell_tx_count_cur": 2,
+                "wallet_tag_v2": "TOP95",
+                "native_balance": "4365090737",
+                "balance": 0,
+                "profit": 726.127902276525,
+                "realized_profit": 726.127902276525,
+                "profit_change": 10.58546285413404,
+                "amount_percentage": 0,
+                "unrealized_profit": 0,
+                "unrealized_pnl": null,
+                "avg_cost": 0.00004665809381734777,
+                "avg_sold": 0.0005405556127655837,
+                "accu_amount": 0,
+                "accu_cost": 0,
+                "cost": 0,
+                "total_cost": 68.596707794685,
+                "transfer_in": false,
+                "is_new": false,
+                "is_suspicious": false,
+                "start_holding_at": 1720479797,
+                "end_holding_at": 1720489799,
+                "last_active_timestamp": 1720489799,
+                "native_transfer": {
+                    "name": null,
+                    "from_address": "99skmFSw7rofUMJ5xdfJ3fYpXiysadwTcTpUzd8ZS5En",
+                    "timestamp": 1739312783
+                },
+                "tags": [
+                    "photon"
+                ],
+                "maker_token_tags": [],
+                "name": null,
+                "avatar": null,
+                "twitter_username": null,
+                "twitter_name": null,
+                "created_at": 1718989905
+            },
+            {
+                "address": "PmeE37ePq4GzcdsFUugVshRCq9F9SHkjtGWR7BUBKJ7",
+                "account_address": "3FU6gxmkiuMHcptUcJQMAoRw52v3Juk1ocfesjVSF82k",
+                "addr_type": 0,
+                "amount_cur": 0,
+                "usd_value": 0,
+                "cost_cur": 0,
+                "sell_amount_cur": 10098531.893684,
+                "sell_amount_percentage": 1,
+                "sell_volume_cur": 2250.9979522210956,
+                "buy_volume_cur": 1543.0295,
+                "buy_amount_cur": 10098531.893684,
+                "netflow_usd": -707.9684522210955,
+                "netflow_amount": 0,
+                "buy_tx_count_cur": 2,
+                "sell_tx_count_cur": 3,
+                "wallet_tag_v2": "TOP96",
+                "native_balance": "0",
+                "balance": 0,
+                "profit": 707.9684522210955,
+                "realized_profit": 707.9684522210955,
+                "profit_change": 0.4588171854271713,
+                "amount_percentage": 0,
+                "unrealized_profit": 0,
+                "unrealized_pnl": null,
+                "avg_cost": 0.00015279740820198513,
+                "avg_sold": 0.00022290348497378654,
+                "accu_amount": 0,
+                "accu_cost": 0,
+                "cost": 0,
+                "total_cost": 1543.0295,
+                "transfer_in": false,
+                "is_new": false,
+                "is_suspicious": false,
+                "start_holding_at": 1720565805,
+                "end_holding_at": 1720575655,
+                "last_active_timestamp": 1720575655,
+                "native_transfer": {
+                    "name": null,
+                    "from_address": "Ffe6xQCsfnajkem4KLMLfBPxyP4wUqi9TqSDHRDGvUYa",
+                    "timestamp": 1739549098
+                },
+                "tags": [
+                    "trojan"
+                ],
+                "maker_token_tags": [],
+                "name": null,
+                "avatar": null,
+                "twitter_username": null,
+                "twitter_name": null,
+                "created_at": 1712141234
+            },
+            {
+                "address": "58XkNgmccvTWwpxoJKax1wjFe8DUJCvHNmaxSLWDFFy",
+                "account_address": "AE2whb5cYe3wiP2RkoW2KJfGPJuTVrdaNZYmNoHvix1R",
+                "addr_type": 0,
+                "amount_cur": 0,
+                "usd_value": 0,
+                "cost_cur": 0,
+                "sell_amount_cur": 1817558.188394,
+                "sell_amount_percentage": 1,
+                "sell_volume_cur": 732.4601421370488,
+                "buy_volume_cur": 29.085950706255,
+                "buy_amount_cur": 1817558.188394,
+                "netflow_usd": -703.3741914307939,
+                "netflow_amount": 0,
+                "buy_tx_count_cur": 1,
+                "sell_tx_count_cur": 12,
+                "wallet_tag_v2": "TOP97",
+                "native_balance": "18995000",
+                "balance": 0,
+                "profit": 703.3741914307938,
+                "realized_profit": 703.3741914307938,
+                "profit_change": 24.18260962257395,
+                "amount_percentage": 0,
+                "unrealized_profit": 0,
+                "unrealized_pnl": null,
+                "avg_cost": 0.000016002761777852865,
+                "avg_sold": 0.0004029913027347162,
+                "accu_amount": 0,
+                "accu_cost": 0,
+                "cost": 0,
+                "total_cost": 29.085950706255,
+                "transfer_in": false,
+                "is_new": false,
+                "is_suspicious": false,
+                "start_holding_at": null,
+                "end_holding_at": null,
+                "last_active_timestamp": 1720503459,
+                "native_transfer": null,
+                "tags": [],
+                "maker_token_tags": [],
+                "name": null,
+                "avatar": null,
+                "twitter_username": null,
+                "twitter_name": null,
+                "created_at": 0
+            },
+            {
+                "address": "6c2Nfh7XNKc6gLqQv6B5djRwDuj4j2KX577PVGTmnkKH",
+                "account_address": "9A6iXjfwT9s6EnhBMVJPtcp3TVxnsh9BCgfD3G11Jpxd",
+                "addr_type": 0,
+                "amount_cur": 0,
+                "usd_value": 0,
+                "cost_cur": 0,
+                "sell_amount_cur": 4654339.226819,
+                "sell_amount_percentage": 1,
+                "sell_volume_cur": 1795.69684805001,
+                "buy_volume_cur": 1101.32055,
+                "buy_amount_cur": 4654339.226819,
+                "netflow_usd": -694.3762980500101,
+                "netflow_amount": 0,
+                "buy_tx_count_cur": 6,
+                "sell_tx_count_cur": 4,
+                "wallet_tag_v2": "TOP98",
+                "native_balance": "48916629",
+                "balance": 0,
+                "profit": 694.37629805001,
+                "realized_profit": 694.37629805001,
+                "profit_change": 0.630494271672321,
+                "amount_percentage": 0,
+                "unrealized_profit": 0,
+                "unrealized_pnl": null,
+                "avg_cost": 0.00023662232087726348,
+                "avg_sold": 0.000385811338740188,
+                "accu_amount": 0,
+                "accu_cost": 0,
+                "cost": 0,
+                "total_cost": 1101.32055,
+                "transfer_in": false,
+                "is_new": false,
+                "is_suspicious": false,
+                "start_holding_at": null,
+                "end_holding_at": null,
+                "last_active_timestamp": 1720511587,
+                "native_transfer": {
+                    "name": "Binance",
+                    "from_address": "5tzFkiKscXHK5ZXCGbXZxdw7gTjjD1mBwuoFbhUvuAi9",
+                    "timestamp": 1741388108
+                },
+                "tags": [
+                    "photon"
+                ],
+                "maker_token_tags": [],
+                "name": null,
+                "avatar": null,
+                "twitter_username": null,
+                "twitter_name": null,
+                "created_at": 1710366146
+            },
+            {
+                "address": "46Sh96yqwZ2ohVSkKffRK4UmKGmeVGAowtjevMR67wqG",
+                "account_address": "EUV6FTyqShiStLfXAXoD6cDQT2UYjmZGRbrY3YMmEVnn",
+                "addr_type": 0,
+                "amount_cur": 0,
+                "usd_value": 0,
+                "cost_cur": 0,
+                "sell_amount_cur": 2831085.836986,
+                "sell_amount_percentage": 1,
+                "sell_volume_cur": 1302.5434240574875,
+                "buy_volume_cur": 608.1893976095,
+                "buy_amount_cur": 2831085.836986,
+                "netflow_usd": -694.3540264479875,
+                "netflow_amount": 0,
+                "buy_tx_count_cur": 8,
+                "sell_tx_count_cur": 10,
+                "wallet_tag_v2": "TOP99",
+                "native_balance": "0",
+                "balance": 0,
+                "profit": 694.3540264479876,
+                "realized_profit": 694.3540264479876,
+                "profit_change": 1.1416740067767694,
+                "amount_percentage": 0,
+                "unrealized_profit": 0,
+                "unrealized_pnl": null,
+                "avg_cost": 0.00021482548839175573,
+                "avg_sold": 0.0004600861644817478,
+                "accu_amount": 0,
+                "accu_cost": 0,
+                "cost": 0,
+                "total_cost": 608.1893976095,
+                "transfer_in": false,
+                "is_new": false,
+                "is_suspicious": false,
+                "start_holding_at": 1720560594,
+                "end_holding_at": 1720561132,
+                "last_active_timestamp": 1720561132,
+                "native_transfer": {
+                    "name": null,
+                    "from_address": "6x4qrvHpqw3UNyL84x3BNpRvFFXcWemSGwYa7FNtJh23",
+                    "timestamp": 1741172345
+                },
+                "tags": [],
+                "maker_token_tags": [],
+                "name": null,
+                "avatar": null,
+                "twitter_username": null,
+                "twitter_name": null,
+                "created_at": 1709167593
+            },
+            {
+                "address": "5NEVJVHcpT2B9gWrDWV6BnMAdZQnQMjNoayaRweeca7",
+                "account_address": "HH6Pih55QBBVDHgdn1xJ7mYd5Nauw6ctwDUc4eCmRw6S",
+                "addr_type": 0,
+                "amount_cur": 0,
+                "usd_value": 0,
+                "cost_cur": 0,
+                "sell_amount_cur": 20888955.450523,
+                "sell_amount_percentage": 1,
+                "sell_volume_cur": 963.89468251344,
+                "buy_volume_cur": 275.22980175501,
+                "buy_amount_cur": 20888955.450523,
+                "netflow_usd": -688.66488075843,
+                "netflow_amount": 0,
+                "buy_tx_count_cur": 2,
+                "sell_tx_count_cur": 6,
+                "wallet_tag_v2": "TOP100",
+                "native_balance": "3189771",
+                "balance": 0,
+                "profit": 688.66488075843,
+                "realized_profit": 688.66488075843,
+                "profit_change": 2.5021450306875943,
+                "amount_percentage": 0,
+                "unrealized_profit": 0,
+                "unrealized_pnl": null,
+                "avg_cost": 0.00001317585278052374,
+                "avg_sold": 0.00004614374734038254,
+                "accu_amount": 0,
+                "accu_cost": 0,
+                "cost": 0,
+                "total_cost": 275.22980175501,
+                "transfer_in": false,
+                "is_new": false,
+                "is_suspicious": false,
+                "start_holding_at": 1720478659,
+                "end_holding_at": 1720482608,
+                "last_active_timestamp": 1720482608,
+                "native_transfer": {
+                    "name": null,
+                    "from_address": "GtrQSFCWYtQcy1qcV2Kfp9h9PtjAS28JFtwX7ELKy5ru",
+                    "timestamp": 1736806398
+                },
+                "tags": [
+                    "photon"
+                ],
+                "maker_token_tags": [],
+                "name": null,
+                "avatar": null,
+                "twitter_username": null,
+                "twitter_name": null,
+                "created_at": 1714316448
+            }
+        ],
+        "next": "Njg0MTkzMnw2QW5NbWtkUGVkQ1kyb1V2NnZZNWhUbnhkeVFCZEVhMlRibkZ1WWNWM1BVcg=="
+    }
+}

src/code/tamper_dune_get_dalao_buy_same_token_And_token_dif.js

@@ -0,0 +1,191 @@
+// ==UserScript==
+// @name         dune_get_dalao_buy_same_token
+// @namespace    http://tampermonkey.net/
+// @version      2024-11-09
+// @description  try to take over the world!
+// @author       You
+// @match        https://dune.com/queries/4839859*
+// @icon         https://www.google.com/s2/favicons?sz=64&domain=dune.com
+// @grant        none
+// ==/UserScript==
+
+
+function funcDownload(content, filename) {
+  console.log('begin download');
+  // 创建隐藏的可下载链接
+  var eleLink = document.createElement('a');
+  eleLink.download = filename;
+  eleLink.style.display = 'none';
+  // 字符内容转变成blob地址
+  var blob = new Blob([content]);
+  eleLink.href = URL.createObjectURL(blob);
+  // 触发点击
+  document.body.appendChild(eleLink);
+  eleLink.click();
+  // 然后移除
+  document.body.removeChild(eleLink);
+}
+
+
+function sleep(sleepdelay) {
+  return new Promise((resolve, reject) => {
+    setTimeout(() => {
+      resolve(sleepdelay);
+    }, sleepdelay);
+  })
+}
+function getCurrentTime() {
+  const zeroFill = (i) => {
+    if (i >= 0 && i <= 9) {
+      return "0" + i;
+    } else {
+      return '' + i;
+    }
+
+  }
+  let date = new Date();//当前时间
+  let year = date.getFullYear();
+  let month = zeroFill(date.getMonth() + 1);//月
+  let day = zeroFill(date.getDate());//日
+  let hour = zeroFill(date.getHours());//时
+  let minute = zeroFill(date.getMinutes());//分
+  let second = zeroFill(date.getSeconds());//秒
+
+  //当前时间
+  var curTime = year + month + day + '_' + hour + minute + second;
+  return curTime;
+}
+
+async function get_thead_data() {
+  let table = document.querySelectorAll('table.table_table__FDV2P')[0];
+  // Get the <thead> element
+  let thead = table.querySelector('thead');
+  let tr_of_thead = thead.querySelectorAll('tr')[0];
+
+  let row_th = []
+  let arr_td = tr_of_thead.querySelectorAll('th');
+  for (let idx_th = 0; idx_th < arr_td.length; idx_th++) {
+    let td = arr_td[idx_th];
+    // console.log(td.innerText);
+    row_th.push(td.innerText);
+  }
+  res_data_get_dune_data.push(row_th);
+
+
+}
+
+async function get_tbody_data() {
+
+  // Get the table element
+  let table = document.querySelector('table.table_table__FDV2P');
+
+  // Get the <tbody> element
+  let tbody = table.querySelector('tbody');
+  // Get all <tr> elements in <tbody>
+  let tbodyTrs = tbody.querySelectorAll('tr');
+
+  // Traverse the <tr> elements in <tbody> and get the data
+  for (let i = 0; i < tbodyTrs.length; i++) {
+    let tr = tbodyTrs[i];
+    let row_tr = []
+    let arr_td = tr.querySelectorAll('td');
+    for (let idx_td = 0; idx_td < arr_td.length; idx_td++) {
+      let td = arr_td[idx_td];
+      // console.log(td.innerText);
+
+      row_tr.push(td.innerText.split(",")[0])
+    }
+    res_data_get_dune_data.push(row_tr);
+  }
+
+}
+
+
+
+async function clickButton_get_data() {
+  res_data_get_dune_data = [];
+  input_value = ele_input.value.trim();
+
+  await get_thead_data();
+  let ul_table_footer__Ky_k2 = document.querySelector('div.visual_vizFooter__vCe59').querySelector("ul.table_footer__Ky_k2");
+
+  let arr_ul_children = ul_table_footer__Ky_k2.children;
+  let page_count = arr_ul_children[4].querySelectorAll("option").length;
+
+  // 获取 页数 并且不断next 页
+
+  // console.log("first= ", res_data_get_dune_data);
+
+  for (let cur_page = 1; cur_page <= page_count; cur_page++) {
+    console.log('cur_page=', cur_page);
+    while (true) {
+
+      try {
+        await get_tbody_data();
+        break;
+      } catch (e) {
+
+        await sleep(3000);
+      }
+
+    }
+    let button_next = arr_ul_children[5].querySelector("button");
+    button_next.click();
+    await sleep(1500);
+
+  }
+  res_data_get_dune_data.forEach((val, index, arr) => { arr[index] = val.join() + "\n" });
+  res_data_get_dune_data = res_data_get_dune_data.join('')
+  let curTime = getCurrentTime();
+
+  let query_id = window.location.pathname.slice(1).split('/').pop();
+
+  funcDownload(res_data_get_dune_data, `${page_name}_${input_value}.csv`);
+
+
+}
+
+
+var res_data_get_dune_data = [];
+var page_name = 'dune_buy_sametoken';
+var input_value = "xx_xx";
+var ele_input;
+(async function () {
+  console.log("enter load");
+  await sleep(6000);
+  console.log("create button");
+
+  var mydivbox = document.createElement("div");
+
+  ele_input = document.createElement("input") //创建一个input文本框
+  ele_input.value = "xx_xx_xx";
+  ele_input.className = "tam-myinput"
+  ele_input.type = "text";
+  ele_input.style.width = "90px";
+  ele_input.style.height = "30px"; // 高度
+
+
+
+  var button_ = document.createElement("button");//创建 获取  xxx 一个按钮
+  button_.className = "tam-mybutton-getdata"
+  button_.textContent = "getdata"; //按钮内容
+  button_.style.width = "90px"; //按钮宽度
+  button_.style.height = "30px"; //按钮高度
+  button_.style.align = "center"; //文本居中
+  button_.style.color = "blue"; //按钮文字颜色
+  button_.style.background = "#045710"; //按钮底色
+  button_.style.border = "1px solid #045710"; //边框属性
+
+  mydivbox.appendChild(button_);
+  mydivbox.style.position = "fixed";
+  mydivbox.style.top = "180px";
+  mydivbox.style.right = "40px";
+
+  mydivbox.appendChild(ele_input);
+  document.body.appendChild(mydivbox);
+
+  button_.addEventListener("click", clickButton_get_data); //监听按钮点击事件
+
+
+
+})();

src/code/tamper_get_top_trader_sol_gmgn.js

@@ -1,367 +0,0 @@
-// ==UserScript==
-// @name         GMGN-Get-Top
-// @namespace    http://tampermonkey.net/
-// @version      2024-10-19
-// @description  try to take over the world!
-// @author       You
-// @match        https://gmgn.ai/sol/token/*
-// @icon         https://www.google.com/s2/favicons?sz=64&domain=gmgn.ai
-// @grant        none
-// ==/UserScript==
-
-
-function funcDownload(content, filename) {
-    console.log('begin download');
-    // 创建隐藏的可下载链接
-    let eleLink = document.createElement('a');
-    eleLink.download = filename;
-    eleLink.style.display = 'none';
-    // 字符内容转变成blob地址
-    let blob = new Blob([content]);
-    eleLink.href = URL.createObjectURL(blob);
-    // 触发点击
-    document.body.appendChild(eleLink);
-    eleLink.click();
-    // 然后移除
-    document.body.removeChild(eleLink);
-}
-
-
-function sleep(sleepdelay) {
-    return new Promise((resolve, reject) => {
-        setTimeout(() => {
-            resolve(sleepdelay);
-        }, sleepdelay);
-    })
-}
-var number_chars_obj = {
-    "k": 3,
-    "m": 6,
-    "b": 9,
-    "t": 12,
-    "p": 15
-};
-
-
-var number_chars_arr = ["k", "m", "b", "t", "p"];
-
-function get_thead_arr() {
-
-    // let titlearr = _thead.innerText.trim().split(/\r?\n/);
-    let titlearr = ['Maker', 'SOL', 'Buy_sol', 'Sell_sol', 'Pnl_sol', 'Pnl_per'];
-    return titlearr;
-}
-
-
-
-var pre_timestamp = -1;
-var now_timestamp = -1;
-async function get_tbody_data() {
-
-    let div_has_tran_table = document.querySelector("div.chakra-tabs__tab-panels.css-2zi8qu");
-    let tbody = div_has_tran_table.querySelector("tbody.g-table-tbody");
-
-    let arr_tbody_trs;
-    arr_tbody_trs = Array.from(tbody.children);
-    arr_tbody_trs.shift();
-
-
-    for (let i = 0; i < arr_tbody_trs.length; i++) {
-
-        let arr_tds;
-        arr_tds = Array.from(arr_tbody_trs[i].children);
-
-        let tdtexts = [];
-        // if (arr_tds.length != 10) {
-        //     continue;
-        // }
-        for (let i = 0; i < arr_tds.length; i++) {
-            if (i == 0) {
-                // trader
-                let a_element = arr_tds[i].querySelector("a");
-                let str_trader = a_element.href.split('/').pop();
-                tdtexts.push(str_trader);
-
-            }
-            else if (i == 1) {
-                //sol balance   
-
-                let str_balance = arr_tds[i].innerText.trim().replace(/[,]/g, "").trim();
-                str_balance = str_balance.replace(/\s+/g, "");
-
-                str_balance = str_balance.toLowerCase();
-                let float_balance;
-
-                float_balance = parseFloat(str_balance);
-                for (let number_char of number_chars_arr) {
-                    if (str_balance.indexOf(number_char) != -1) {
-                        float_balance = parseFloat(str_balance) * 10 ** number_chars_obj[number_char];
-                    }
-                }
-                tdtexts.push(float_balance);
-
-            } else if (i == 2) {
-                // bought
-
-
-                let str_sol = "0";
-                let str_token_amount = "0";
-                let float_sol;
-
-                let arr_sol_amount = arr_tds[i].children[0].children;
-                if (arr_sol_amount.length == 1) {
-                    tdtexts.push(0);
-                    continue;
-                }
-
-                str_sol = arr_sol_amount[0].innerText.trim().toLowerCase();
-                str_sol = str_sol.replace(/[sol,%\+><]/g, "").trim();
-                if (str_sol == "--") {
-                    str_sol = "0";
-                }
-
-                float_sol = parseFloat(str_sol);
-                for (let number_char of number_chars_arr) {
-                    if (str_sol.indexOf(number_char) != -1) {
-                        float_sol = parseFloat(str_sol) * 10 ** number_chars_obj[number_char];
-                    }
-                }
-                tdtexts.push(float_sol);
-
-            } else if (i == 3) {
-                // sold
-                let str_sol = "0";
-                let str_token_amount = "0";
-                let float_sol;
-
-                let arr_sol_amount = arr_tds[i].children[0].children;
-                if (arr_sol_amount.length == 1) {
-                    tdtexts.push(0);
-                    continue;
-                }
-
-                str_sol = arr_sol_amount[0].innerText.trim().toLowerCase();
-                str_sol = str_sol.replace(/[sol,%\+><]/g, "").trim();
-                if (str_sol == "--") {
-                    str_sol = "0";
-                }
-
-                float_sol = parseFloat(str_sol);
-                for (let number_char of number_chars_arr) {
-                    if (str_sol.indexOf(number_char) != -1) {
-                        float_sol = parseFloat(str_sol) * 10 ** number_chars_obj[number_char];
-                    }
-                }
-                tdtexts.push(float_sol);
-
-
-
-
-            } else if (i == 4) {
-                // pnl
-
-                let str_sol = "0";
-                let str_percent = "0";
-                let float_sol = 0;
-                let float_percent = 0;
-
-                let arr_sol_percent = arr_tds[i].children[0].children;
-
-
-                str_sol = arr_sol_percent[0].innerText.trim().toLowerCase();
-                str_sol = str_sol.replace(/[sol,%\+><]/g, "").trim();
-                str_percent = arr_sol_percent[1].innerText.trim().toLowerCase();
-                str_percent = str_percent.replace(/[sol,%\+><]/g, "").trim();
-
-                if (str_sol == "--") {
-                    str_sol = "0";
-                }
-
-                if (str_percent == "--") {
-                    str_percent = "999999";
-                }
-
-
-                float_sol = parseFloat(str_sol);
-                float_percent = parseFloat(str_percent);
-                for (let number_char of number_chars_arr) {
-                    if (str_sol.indexOf(number_char) != -1) {
-                        float_sol = parseFloat(str_sol) * 10 ** number_chars_obj[number_char];
-                    }
-                    if (str_percent.indexOf(number_char) != -1) {
-                        float_percent = parseFloat(str_percent) * 10 ** number_chars_obj[number_char];
-                    }
-
-                }
-                tdtexts.push(float_sol);
-                tdtexts.push(float_percent);
-
-            } else if (i == 5) {
-                // Realized
-                continue;
-            }
-            else if (i == 6) {
-                // UnRealized
-                continue
-
-            } else if (i == 7) {
-                // Avg Cost/Sold
-
-            } else if (i == 8) {
-                // TXs
-
-            } else if (i == 9) {
-                // Last Active
-
-            }
-
-        }
-        res_data.push(tdtexts);
-
-    }
-
-
-}
-
-function save_resdata() {
-    console.log("enter save_resdata");
-    res_data.forEach((val, index, arr) => { arr[index] = val.join() + "\n" });
-    let urlpathname = window.location.pathname.slice(1).split('/');
-    urlpathname = urlpathname.pop()
-
-    funcDownload(res_data.join(""), urlpathname + "_top_gmgn_sol" + "_" + parseInt(Date.now() / 1000) + ".csv");
-    res_data = [];
-
-}
-function autoScroll() {
-    console.log("enter autoScroll");
-
-    let interval;
-    let scroll_times = 15;
-
-    let div_has_tran_table = document.querySelector("div.chakra-tabs__tab-panels.css-2zi8qu");
-    let tbody = div_has_tran_table.querySelector("div.css-1o2kb31 tbody.g-table-tbody");
-
-
-    async function down() {
-        interval = setInterval(async () => {
-
-            let tbodytrs;
-
-            if (scroll_times > 0) {
-
-                await sleep(150);
-                tbodytrs = tbody.children;
-                tbodytrs[tbodytrs.length - 1].scrollIntoView({ behavior: "smooth", block: "start" });
-
-
-            } else {
-                clearInterval(interval);
-                await get_tbody_data();
-                save_resdata();
-                return;
-
-            }
-            scroll_times--;
-
-
-            tbodytrs = tbody.children;
-            if (tbodytrs.length == 101) {
-                clearInterval(interval);
-                await get_tbody_data();
-                save_resdata();
-                return;
-
-            }
-
-            await sleep(300);
-        }, 1200)
-
-    }
-
-    down()
-
-}
-
-
-
-var res_data = [];
-var sTop = 0;
-
-// window.addEventListener('load', async () => {
-
-(async function () {
-    console.log("enter load");
-    await sleep(6000);
-    console.log("create button");
-
-    var mydivbox = document.createElement("div");
-
-    var button_tran = document.createElement("button");//创建 获取toptran一个按钮
-    mydivbox.appendChild(button_tran);
-    button_tran.className = "tam-mybutton-gettran"
-    button_tran.textContent = "gettran"; //按钮内容
-    button_tran.style.width = "90px"; //按钮宽度
-    button_tran.style.height = "30px"; //按钮高度
-    button_tran.style.align = "center"; //文本居中
-    button_tran.style.color = "blue"; //按钮文字颜色
-    button_tran.style.background = "#e33e33"; //按钮底色
-    button_tran.style.border = "1px solid #e33e33"; //边框属性
-
-
-    mydivbox.style.position = "fixed";
-    mydivbox.style.top = "80px";
-    mydivbox.style.right = "40px";
-    document.body.appendChild(mydivbox);
-
-    button_tran.addEventListener("click", clickButton); //监听按钮点击事件
-
-    async function clickButton() {
-        res_data = [];
-
-        console.log("enter clickButton res_data=", res_data);
-        let div_chakra_tabs = document.querySelector('[role="tablist"]');
-        let arr_buttons_chakra = Array.from(div_chakra_tabs.querySelectorAll("button"));
-        let button_top_trader = undefined;
-        for (let button of arr_buttons_chakra) {
-            if (button.innerText.includes("Top Traders")) {
-                button_top_trader = button;
-                break;
-            }
-        }
-        if (button_top_trader == undefined) {
-            console.log("no button_top_trader");
-            return;
-        }
-        await button_top_trader.click();
-        await sleep(7000);
-
-        let div_has_tran_table;
-        let _tbody;
-        let _thead;
-
-        // chakra-tabs__tablist css-1p75jc5
-        div_has_tran_table = document.querySelector("div.chakra-tabs__tab-panels.css-2zi8qu");
-        _tbody = div_has_tran_table.querySelector("div.css-1o2kb31 tbody.g-table-tbody");
-        _thead = div_has_tran_table.querySelector("div.css-1o2kb31 thead.g-table-thead");
-        let arr_th = _thead.querySelectorAll("th");
-        let click_USD = arr_th[1].querySelector("div.css-1vimx2u");
-        if (click_USD.innerText.includes("USD")) {
-            await click_USD.click();
-            await sleep(4000);
-        }
-
-
-
-
-        let titlearr = get_thead_arr();
-        res_data.push(titlearr);
-        autoScroll();
-
-    }
-
-})();
-
-
-
-

src/code/tamper_listen_filter_pump_token_gmgn.js

@@ -1,133 +0,0 @@
-// ==UserScript==
-// @name         get_filter_pump_token_gmgn
-// @namespace    http://tampermonkey.net/
-// @version      2025-02-16
-// @description  try to take over the world!
-// @author       You
-// @match        https://gmgn.ai/meme/9Z7Wz20p?chain=sol&tab=complete*
-// @icon         https://www.google.com/s2/favicons?sz=64&domain=gmgn.ai
-// @grant        none
-// ==/UserScript==
-
-
-// https://gmgn.ai/meme/9Z7Wz20p?chain=sol
-// https://gmgn.ai/meme/9Z7Wz20p?chain=sol&tab=complete
-
-
-function funcDownload(content, filename) {
-    console.log('begin download');
-    // 创建隐藏的可下载链接
-    let eleLink = document.createElement('a');
-    eleLink.download = filename;
-    eleLink.style.display = 'none';
-    // 字符内容转变成blob地址
-    let blob = new Blob([content]);
-    eleLink.href = URL.createObjectURL(blob);
-    // 触发点击
-    document.body.appendChild(eleLink);
-    eleLink.click();
-    // 然后移除
-    document.body.removeChild(eleLink);
-}
-
-
-function sleep(sleepdelay) {
-    return new Promise((resolve, reject) => {
-        setTimeout(() => {
-            resolve(sleepdelay);
-        }, sleepdelay);
-    })
-}
-
-
-let tbody = document.querySelector('#__next > div > div > main > div.css-xe3de5 > div.css-b0bdxf > div > div > div > div > div.g-table-tbody-virtual.g-table-tbody > div.g-table-tbody-virtual-holder > div > div')
-let arr_token_row = Array.from(tbody.children);
-let arr_res_data = [];
-// let arr_title = ['token_url', 'token_name', 'age', 'liq/initial', 'mc', 'holders', '24h txs', '24h vol', 'price', '1m%', '5m%', '1h%', 'degen audit', 'dev'];
-
-let arr_title = ['token_url', 'token_name', 'age', 'liq/initial', 'mc', 'holders', 'nomint', 'blacklist', 'burnt', 'top 10', 'insiders', 'dev'];
-
-
-
-function save_resdata() {
-    console.log("enter save_resdata");
-    arr_res_data.forEach((val, index, arr) => { arr[index] = val.join() + "\n" });
-
-    funcDownload(res_data.join(""), "gmgn_pump_" + parseInt(Date.now() / 1000) + ".csv");
-    arr_res_data = [];
-
-}
-
-for (let idx = 0; idx < arr_token_row.length; idx++) {
-    let arr_cur = [];
-    let arr_td = Array.from(arr_token_row[idx].children);
-    for (let idx2 = 0; idx2 < arr_td.length; idx2++) {
-        if (idx2 == 0) {
-            // Token
-            let a_ele = arr_td[idx2].querySelector('a');
-            // arr_cur.push(arr_td[idx2].querySelector('a').href);
-            let url_ = a_ele.href;
-            let title = a_ele.querySelector('[title]').getAttribute('title');
-            // title = "RONASZN"
-            arr_cur.push(url_);
-            arr_cur.push(title);
-
-
-        }
-        else if (idx2 == 1) {
-            // Age
-            arr_cur.push(arr_td[idx2].innerText);
-        }
-        else if (idx2 == 2) {
-            // Liq /initial
-
-        }
-        else if (idx2 == 3) {
-            //  MC  
-            arr_cur.push(arr_td[idx2].innerText);
-        }
-        else if (idx2 == 4) {
-            // holders
-            arr_cur.push(arr_td[idx2].innerText);
-        }
-        else if (idx2 == 5) {
-            // 24txns
-
-        }
-        else if (idx2 == 6) {
-            // 24vol
-
-        }
-        else if (idx2 == 7) {
-            // price
-
-        } else if (idx2 == 8) {
-            // 1m%
-        }
-        else if (idx2 == 9) {
-            // 5m%
-
-        }
-        else if (idx2 == 10) {
-            // 1h%
-
-        } else if (idx2 == 11) {
-            // degen audit
-
-            //  'nomint', 'blacklist', 'burnt', 'top 10', 'insiders' 
-
-            let arr_ = arr_td[idx2].innerText.split(/\s+/);
-            arr_cur.push(arr_[0]);
-            arr_cur.push(arr_[2]);
-            arr_cur.push(arr_[4]);
-            arr_cur.push(arr_[6]);
-            arr_cur.push(arr_[9]);
-        } else if (idx2 == 12) {
-            // dev
-            arr_cur.push(arr_td[idx2].innerText.trim().replace(/[\n-]+/g, '-'));
-        }
-
-    }
-    arr_res_data.push(arr_cur);
-
-}

src/code/tamper_listen_gmgn_token_long.js

@@ -1,16 +1,17 @@
 // ==UserScript==
-// @name         Dex-Filter-ListenToken-Long-SOL
+// @name         get_filter_pump_token_gmgn
 // @namespace    http://tampermonkey.net/
-// @version      0.1
+// @version      2025-02-22
 // @description  try to take over the world!
 // @author       You
-// @match        https://dexscreener.com/new-pairs?rankBy=txns&order=desc&chainIds=solana&dexIds=raydium&minLiq=8000&minAge=48&min24HTxns=300&min24HBuys=100&min1HChg=4&min5MChg=2
-// @icon         https://www.google.com/s2/favicons?sz=64&domain=tampermonkey.net
+// @match        https://gmgn.ai/meme/9Z7Wz20p?chain=sol&tab=complete
+// @icon         https://www.google.com/s2/favicons?sz=64&domain=gmgn.ai
 // @grant        none
-
 // ==/UserScript==
 
 
+// https://gmgn.ai/meme/9Z7Wz20p?chain=sol
+// https://gmgn.ai/meme/9Z7Wz20p?chain=sol&tab=complete
 
 function funcDownload(content, filename) {
     // 创建隐藏的可下载链接
@@ -37,84 +38,188 @@ function sleep(sleepdelay) {
 }
 
 
-
+var is_getting_data = false;
 
 var pre_click_timestamp = 0;
-
+var pre_save_data_timestamp = 0;
 var now_timestamp = 0;
 
-function click_avoid_sleep() {
-    if (now_timestamp - pre_click_timestamp >= 2 * 60 * 1000) {
-        pre_click_timestamp = now_timestamp;
-        let th = document.querySelector("div.ds-dex-table-th");
 
-        let button_click = th.children[5].querySelector("button");
-        button_click.click();
+
+async function click_avoid_sleep() {
+    // console.log("enter click_avoid_sleep");
+
+    if (is_getting_data == true) {
+        return;
     }
+    if (now_timestamp - pre_click_timestamp >= 1 * 60 * 1000) {
+        // if (now_timestamp - pre_click_timestamp >= 20 * 1000) {
+        pre_click_timestamp = now_timestamp;
+        // let th = document.querySelector("div.ds-dex-table-th");
 
+        let ele_th = document.querySelectorAll('div.g-table-header thead tr th.g-table-cell')[5];
 
+        // let button_click = th.children[5].querySelector("button");
+        ele_th.click();
+    }
 
 }
-function click_avoid_sleep() {
-    if (now_timestamp - pre_click_timestamp >= 2 * 60 * 1000) {
-        pre_click_timestamp = now_timestamp;
-        let th = document.querySelector("div.ds-dex-table-th");
 
-        let button_click = th.children[5].querySelector("button");
-        button_click.click();
-    }
 
 
 
-}
+async function get_tbody_data() {
+    // console.log("get_tbody_data")
 
+    now_timestamp = Date.now();
 
+    if (is_getting_data == true) {
 
 
-async function get_tbody_data() {
+        return;
+    }
 
 
+    if (now_timestamp - pre_save_data_timestamp >= 1 * 60 * 60 * 1000) {
+        // if (now_timestamp - pre_save_data_timestamp >= 60 * 1000) {
+        pre_save_data_timestamp = now_timestamp;
+    } else {
+        return;
+    }
 
-    now_timestamp = Date.now();
 
-    click_avoid_sleep();
-    save_resdata();
 
-}
+    is_getting_data = true;
+    for (let i = 0; i < 5; i++) {
+        // console.log('scoll bottom i=', i);
+        let tbody = document.querySelector('div.g-table-tbody-virtual.g-table-tbody  div.g-table-tbody-virtual-holder div.g-table-tbody-virtual-holder-inner')
 
 
+        let arr_token_row = Array.from(tbody.children);
+        await get_current_view_data(arr_token_row);
 
-function save_resdata() {
-    // console.log("enter save_resdata");
-    drop_outtime_pairaddress();
 
-    let set_intersection_pairaddress = new Set([...set_now_pairaddress].filter(value => set_pre_pairaddress.has(value)));
+        let top_butttom = arr_token_row[arr_token_row.length - 1].getBoundingClientRect().top;
+        // console.log('-1 ', arr_token_row[parseInt(arr_token_row.length - 1)].innerText.split(/\s+/)[0])
 
+        let new_scrollTop = top_butttom;
 
-    // console.log("set_intersection_pairaddress=", set_intersection_pairaddress, 'set_pre_pairaddress=', set_pre_pairaddress, "set_now_pairaddress=", set_now_pairaddress);
-    set_pre_pairaddress.clear();
-    set_pre_pairaddress = set_now_pairaddress;
-    set_now_pairaddress = new Set();
+        let ele_scroll = document.querySelector(" div.g-table-tbody-virtual.g-table-tbody  div.g-table-tbody-virtual-holder");
 
+        let bef_sTop = ele_scroll.scrollTop;
+        ele_scroll.scrollTop = new_scrollTop;
+        await sleep(500);
+        let aft_sTop = ele_scroll.scrollTop;
+        console.log(bef_sTop, aft_sTop);
 
-    if (set_intersection_pairaddress.size == 0) {
-        return;
-    }
 
+        if (bef_sTop >= aft_sTop) {
+            break;
+        }
+    }
 
-    let temp_arr_res_data = arr_res_data;
 
-    arr_res_data = [];
+    for (let i = 0; i < 3; i++) {
+        let ele_scroll = document.querySelector(" div.g-table-tbody-virtual.g-table-tbody  div.g-table-tbody-virtual-holder");
 
-    for (let it of temp_arr_res_data) {
+        ele_scroll.scrollTop = 0;
 
+        await sleep(500);
+    }
+    is_getting_data = false;
 
-        arr_res_data.push(it);
+    save_resdata();
 
+}
+function keepAlnum_for_gmgn(string) {
+    return string.replace(/[^a-zA-Z0-9\.\s\+\-]/g, ' ');
+}
+async function get_current_view_data(arr_token_row) {
+
+    for (let idx = 0; idx < arr_token_row.length; idx++) {
+        let arr_cur = [];
+        let arr_td = Array.from(arr_token_row[idx].children);
+        for (let idx2 = 0; idx2 < arr_td.length; idx2++) {
+            if (idx2 == 0) {
+                // Token
+                let a_ele = arr_td[idx2].querySelector('a');
+                // arr_cur.push(arr_td[idx2].querySelector('a').href);
+                let url_ = a_ele.href;
+                let title = a_ele.querySelector('[title]').getAttribute('title');
+                title = keepAlnum_for_gmgn(title);
+
+                // title = "RONASZN"
+                arr_cur.push(url_);
+                arr_cur.push(title);
+
+
+            }
+            else if (idx2 == 1) {
+                // Age
+                arr_cur.push(arr_td[idx2].innerText);
+            }
+            else if (idx2 == 2) {
+                // Liq /initial
+
+            }
+            else if (idx2 == 3) {
+                //  MC
+                arr_cur.push(arr_td[idx2].innerText);
+            }
+            else if (idx2 == 4) {
+                // holders
+                arr_cur.push(arr_td[idx2].innerText);
+            }
+            else if (idx2 == 5) {
+                // 24txns
+
+            }
+            else if (idx2 == 6) {
+                // 24vol
+
+            }
+            else if (idx2 == 7) {
+                // price
+
+            } else if (idx2 == 8) {
+                // 1m%
+            }
+            else if (idx2 == 9) {
+                // 5m%
+
+            }
+            else if (idx2 == 10) {
+                // 1h%
+
+            } else if (idx2 == 11) {
+                // degen audit
+
+                //  'nomint', 'blacklist', 'burnt', 'top 10', 'insiders'
+
+                let arr_ = arr_td[idx2].innerText.split(/\s+/);
+
+                arr_cur.push(arr_[0]);
+                arr_cur.push(arr_[2]);
+                arr_cur.push(arr_[4]);
+                arr_cur.push(arr_[6]);
+                arr_cur.push(arr_[9]);
+            } else if (idx2 == 12) {
+                // dev
+
+                arr_cur.push(arr_td[idx2].innerText.trim().replace(/[\n-]+/g, '_'));
+            }
+
+        }
+        arr_res_data.push(arr_cur);
 
     }
 
+}
+
 
+function save_resdata() {
+
+    // 一个小时保存一次
 
     if (arr_res_data.length == 0) {
         // res 为空
@@ -122,15 +227,15 @@ function save_resdata() {
         return;
     }
 
-    // console.log("arr_res_data=", arr_res_data)
-    arr_res_data.unshift(["timestamp", "pairaddress", "price", "5m", "1h", "6h", "24h"]);
 
-    arr_res_data.forEach((val, index, arr) => { arr[index] = val.join() + "\n" });
+    let arr_title = ['token_url', 'token_name', 'age', 'mc', 'holders', 'nomint', 'blacklist', 'burnt', 'top 10', 'insiders', 'dev'];
 
-    let str_cur_time = "" + Date.now();
 
+    arr_res_data.unshift(arr_title);
+    arr_res_data.forEach((val, index, arr) => { arr[index] = val.join() + "\n" });
 
-    funcDownload(arr_res_data.join(""), str_cur_time + "_long" + ".csv");
+    let str_cur_time = "" + Date.now();
+    funcDownload(arr_res_data.join(""), str_cur_time + "_gmgn_filter" + ".csv");
     arr_res_data = [];
 
 }
@@ -139,22 +244,32 @@ function autoScroll() {
     console.log("enter autoScroll");
     async function fetchData() {
         await get_tbody_data();
-        setTimeout(fetchData, 15 * 1000);
+        await click_avoid_sleep()
+        setTimeout(fetchData, 20 * 1000);
     }
 
-    setTimeout(fetchData, 15 * 1000);
+    setTimeout(fetchData, 20 * 1000);
 
 }
 
 
 var arr_res_data = [];
-var set_pre_pairaddress = new Set();
-var set_now_pairaddress = new Set();
+
 // window.addEventListener('load', () => {
 
 (async function () {
     console.log("enter load");
     await sleep(6000);
+
+    let btn_close = document.querySelector('body div.css-12rtj2z div.css-pt4g3d');
+
+
+    if (btn_close) {
+
+        await btn_close.click();
+    }
+
+
     autoScroll();
 
 

src/library/analysis_token/001_merge_top20_holders_add.py

@@ -0,0 +1,77 @@
+
+# 将不同时间的holders 的top55 地址全部合并到一个excel中
+import pandas as pd
+import sys
+import os
+ 
+
+arr_file = []
+merged_df = None
+
+def map_exclude_df(df1,ex_df):
+  
+    
+    ex_df.rename(columns={'ex_add': 'holder_owner', 'info': 'domains_owned'}, inplace=True)
+
+    # 使用merge创建一个临时DataFrame，只包含匹配的行
+    temp_df = df1[['holder_owner']].merge(ex_df, on='holder_owner', how='left')
+    
+    # 更新df1的'b1'列
+    df1.set_index('holder_owner', inplace=True)
+    temp_df.set_index('holder_owner', inplace=True)
+    df1.update(temp_df)
+
+    # 重置索引
+    df1.reset_index(inplace=True)
+
+    return df1
+
+def merge_df_fun():
+ 
+    
+    global arr_file , merged_df , domains_df,token_add
+    for index, file in enumerate(arr_file):
+               
+        cur_df =   pd.read_csv(file ,dtype=object)
+        cur_df=cur_df.dropna(subset=['holder_owner'])
+
+        cur_df =cur_df.astype({
+            "amount_M":float,
+        })
+
+
+        cur_df=cur_df.sort_values(by=['amount_M'],ascending = False)
+        cur_df =cur_df.head(22)
+        cur_df=cur_df[['holder_owner','domains_owned']]
+
+
+        if index==0 :
+            merged_df = cur_df
+            continue
+        merged_df = pd.concat([merged_df, cur_df])
+  
+    
+    merged_df =merged_df.drop_duplicates(subset=['holder_owner'])
+
+    ex_df = pd.read_csv('exclude_add.csv',dtype=object)
+    merged_df=map_exclude_df(merged_df ,ex_df)
+
+    
+    merged_df.to_excel('001_top20_holders.xlsx', index=False)
+
+ 
+    
+
+if __name__ == "__main__":
+ 
+ 
+    arr_file = os.listdir(os.getcwd())
+  
+    arr_file = [file for file in arr_file if "dune_holders_xx" in file and file.endswith(".csv")]
+ 
+    arr_file.sort()
+    print("read file: ",arr_file)
+    
+    merge_df_fun()
+ 
+    

src/library/analysis_token/002_get_special_add_hold_info_from_alltransfercsv.py

@@ -0,0 +1,138 @@
+
+# 将special add 在不同时间持仓的csv合并为一个excel
+import pandas as pd
+import sys
+import pytz
+
+arr_file = []
+merged_df = None
+ 
+file_transfer_row = ''
+arr_all_holders=[]
+def makeurl( url,url_show):
+    return '=HYPERLINK("{}","{}")'.format(url,  url_show)
+
+def utc_2_shanghaidate(df , utc_time_col ):
+# 将字符串转换为UTC时间的datetime对象
+    df[utc_time_col] = pd.to_datetime(df[utc_time_col], utc=True)
+    # 定义UTC+8时区
+    utc_plus_8 = pytz.timezone('Asia/Shanghai')
+    # 转换为UTC+8时间
+    # df['shanghai_date'] = df['shanghai_date'].dt.tz_convert(utc_plus_8)
+    # # 提取时间字符串
+    # df['shanghai_date'] = df['shanghai_date'].dt.strftime('%Y-%m-%d %H:%M')
+    df[utc_time_col] = df[utc_time_col].dt.tz_convert(utc_plus_8)
+    # 提取时间字符串
+    df[utc_time_col] = df[utc_time_col].dt.strftime('%Y-%m-%d %H:%M')
+    return df
+import re
+
+def get_daterange_df(df, str_end_datetime = ''):
+    # str_end_datetime = '2025-01-16 02:00:00'
+
+    str_end =  re.split(r'[- :]', str_end_datetime)
+    str_end =  str_end[1]+str_end[2]+ '日'+ str_end[3]+str_end[4]
+    str_daterange =  '00_' + str_end
+    df_holder =  df[    
+      (df['block_time']<=pd.Timestamp(str_end_datetime))
+    
+    ].reset_index(drop=True)
+
+    # 创建两个DataFrame，一个用于'from'列，另一个用于'to'列
+    df_from = df_holder[[ 'token_transfer' ,'from_owner']].copy()
+    df_from.rename(columns={'from_owner': 'holder_owner' , 'token_transfer':'token_M'}, inplace=True)
+    df_from['token_M'] = -df_from['token_M'] /1e6/1e6
+
+    df_to = df_holder[[  	'token_transfer' ,'to_owner']].copy()
+    df_to.rename(columns={'to_owner': 'holder_owner','token_transfer':'token_M'}, inplace=True)
+    df_to['token_M'] = df_to['token_M']/1e6/1e6
+
+    # 合并两个DataFrame
+    df_holder = pd.concat([df_from, df_to], ignore_index=True)
+    df_holder = df_holder.groupby('holder_owner')['token_M'].sum().reset_index()
+    df_holder['token_M'] = df_holder['token_M'].round(2)
+    df_holder.rename(columns={'token_M': f'AM_{str_daterange}'}, inplace=True)
+ 
+    return df_holder  
+    
+  
+def fun():
+    global file_transfer_row , merged_df ,  token_add , df_all_holders
+    arr_date_range =[]
+    arr_col_pct=[]
+    df = pd.read_csv(file_transfer_row)
+    df = df.drop_duplicates().reset_index(drop=True)
+    df = utc_2_shanghaidate(df,utc_time_col='block_time')
+
+    df['block_time'] = pd.to_datetime(df['block_time']  )
+    merged_df = df_all_holders[['holder_owner']]
+    
+
+    df_daterange  = get_daterange_df(df, str_end_datetime = '2025-01-08 22:00:00')
+    df_daterange = df_daterange[df_daterange['holder_owner'].isin(arr_all_holders)].reset_index(drop=True)
+    merged_df = pd.merge(merged_df, df_daterange, on='holder_owner', how='outer')        
+    df_daterange  = get_daterange_df(df, str_end_datetime = '2025-01-09 01:00:00')
+    df_daterange = df_daterange[df_daterange['holder_owner'].isin(arr_all_holders)].reset_index(drop=True)
+    merged_df = pd.merge(merged_df, df_daterange, on='holder_owner', how='outer')
+
+    df_daterange  = get_daterange_df(df, str_end_datetime = '2025-01-09 04:00:00')
+    df_daterange = df_daterange[df_daterange['holder_owner'].isin(arr_all_holders)].reset_index(drop=True)
+    merged_df = pd.merge(merged_df, df_daterange, on='holder_owner', how='outer')
+
+    df_daterange  = get_daterange_df(df, str_end_datetime = '2025-01-09 07:00:00')
+    df_daterange = df_daterange[df_daterange['holder_owner'].isin(arr_all_holders)].reset_index(drop=True)
+    
+    merged_df = pd.merge(merged_df, df_daterange, on='holder_owner', how='outer')
+
+    df_daterange  = get_daterange_df(df, str_end_datetime = '2025-01-10 10:00:00')
+    df_daterange = df_daterange[df_daterange['holder_owner'].isin(arr_all_holders)].reset_index(drop=True)
+    merged_df = pd.merge(merged_df, df_daterange, on='holder_owner', how='outer')
+
+    df_daterange  = get_daterange_df(df, str_end_datetime = '2025-01-10 21:30:00')
+    df_daterange = df_daterange[df_daterange['holder_owner'].isin(arr_all_holders)].reset_index(drop=True)
+    merged_df = pd.merge(merged_df, df_daterange, on='holder_owner', how='outer')
+
+    df_daterange  = get_daterange_df(df, str_end_datetime = '2025-01-11 02:30:00')
+    df_daterange = df_daterange[df_daterange['holder_owner'].isin(arr_all_holders)].reset_index(drop=True)
+    merged_df = pd.merge(merged_df, df_daterange, on='holder_owner', how='outer')
+
+    df_daterange  = get_daterange_df(df, str_end_datetime = '2025-01-16 01:00:00')
+    df_daterange = df_daterange[df_daterange['holder_owner'].isin(arr_all_holders)].reset_index(drop=True)
+    merged_df = pd.merge(merged_df, df_daterange, on='holder_owner', how='outer')
+
+
+
+   
+    merged_df = pd.merge(merged_df, df_all_holders, on='holder_owner', how='left')
+
+ 
+    merged_df["gmgn"] = merged_df.apply(lambda ser: makeurl(
+    f"https://gmgn.ai/sol/token/{token_add}?tab=activity&maker={ser['holder_owner']}" , "gmgn" ), axis=1)
+
+    merged_df["defined"] = merged_df.apply(lambda ser: makeurl(
+     f"https://www.defined.fi/sol/{token_add}?maker={ser['holder_owner']}" , "defined" ), axis=1)
+    
+  
+    merged_df.to_excel('002_merge_special_add_hold_info.xlsx' ,index=False)
+
+import os
+ 
+ 
+token_add = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump'
+arr_file = os.listdir(os.getcwd())
+
+arr_file = [file for file in arr_file if "dune_speadd_all_transfer_row" in file and file.endswith(".csv")]
+file_transfer_row = arr_file[0]
+
+df_all_holders = pd.read_excel('001_all_holders.xlsx')
+df_all_holders=df_all_holders.dropna(subset=['holder_owner'])
+# df_all_holders = df_all_holders[df_all_holders['domains_owned'].isna()]
+# df_all_holders=df_all_holders[['holder_owner']]
+
+arr_all_holders  = df_all_holders['holder_owner'].tolist()
+ 
+
+print("read file: ",file_transfer_row)
+fun()
+
+

src/library/analysis_token/002_merge_get_special_add_hold_info_from_manydunecsv.py

@@ -0,0 +1,69 @@
+
+# 将special add 在不同时间持仓的csv合并为一个excel
+import pandas as pd
+import sys
+
+
+arr_file = []
+merged_df = None
+domains_df= None
+
+
+def makeurl( url,url_show):
+    return '=HYPERLINK("{}","{}")'.format(url,  url_show)
+
+def merge_df_fun():
+    arr_date_range =[]
+    arr_col_pct=[]
+    
+    global arr_file , merged_df , domains_df,token_add
+    for index, file in enumerate(arr_file):
+        date_range = file.replace(".csv","").split("_")
+        date_range = date_range[-2]+"_"+date_range[-1]
+
+        cur_df =   pd.read_csv(file ,dtype=object)
+        cur_df=cur_df.dropna(subset=['holder_owner'])
+
+        cur_domains_df = cur_df[['holder_owner' , 'domains_owned']]
+        domains_df = pd.concat([domains_df, cur_domains_df  ]).dropna().drop_duplicates(subset=['holder_owner'])
+         
+        cur_df=cur_df[['holder_owner','amount_M']]
+        cur_df =cur_df.astype({
+            "amount_M":float,
+        })
+
+        cur_df.rename(columns={'amount_M': f'AM_{date_range}'}, inplace=True)
+        arr_date_range.append(f'{date_range}')
+        arr_col_pct.append(f'AM_{date_range}')
+        if index==0 :
+            merged_df = cur_df
+            continue
+        merged_df = pd.merge(merged_df, cur_df, on='holder_owner', how='outer')
+  
+    
+    # merged_df=merged_df.fillna(-1)
+    merged_df = pd.merge(merged_df, domains_df, on='holder_owner', how='left')
+
+    merged_df["gmgn"] = merged_df.apply(lambda ser: makeurl(
+    f"https://gmgn.ai/sol/token/{token_add}?tab=activity&maker={ser['holder_owner']}" , "gmgn" ), axis=1)
+
+    merged_df["defined"] = merged_df.apply(lambda ser: makeurl(
+     f"https://www.defined.fi/sol/{token_add}?maker={ser['holder_owner']}" , "defined" ), axis=1)
+    
+  
+    merged_df.to_excel('002_merge_special_add_hold_info.xlsx' ,index=False)
+
+ 
+if __name__ == "__main__":
+ 
+    if len(sys.argv)<3:
+        print("args queshao ")
+        sys.exit(1)
+    token_add = sys.argv[1]
+    arr_file =sys.argv[2:]
+    arr_file = [file for file in arr_file if "dune_holders_speadd" in file and file.endswith(".csv")]
+ 
+    arr_file.sort()
+    print("read file: ",arr_file)
+    merge_df_fun()
+ 

src/library/analysis_token/003_merge_holders_get_excel_kuangjia.py

@@ -0,0 +1,109 @@
+
+#  # 将不同时间的holders 合并为一个excel 并且一个时间一个sheet  \
+# 目的在于提供一个excel表的框架， 之后所欲sheet的内容要被 special add 的hold info替换掉
+import pandas as pd
+import sys
+import os
+import datetime
+import pytz
+
+arr_file = []
+merged_df = None
+domains_df = None
+token_add = ""
+arr_date_range =[]
+arr_df = []
+token_add = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump'
+def get_nowdate():
+
+    timestamp = datetime.datetime.now().timestamp()
+    # print(timestamp)
+    dt = datetime.datetime.fromtimestamp(timestamp)
+    tz = pytz.timezone('Asia/Shanghai')
+    normal_time_str = dt.astimezone(tz).strftime('%Y-%m-%d %H:%M:%S')
+    time_str = dt.astimezone(tz).strftime('%m%d%H%M')
+    return time_str
+
+
+
+def merge_df_fun():
+    global arr_date_range ,arr_df
+    
+    arr_col_pct=[]
+    
+    global arr_file , merged_df , domains_df,token_add
+    for index, file in enumerate(arr_file):
+        date_range = file.replace(".csv","").split("_")
+        date_range = date_range[-2]+"_"+date_range[-1]
+
+        cur_df =   pd.read_csv(file ,dtype=object)
+        cur_df=cur_df.dropna(subset=['holder_owner'])
+
+        cur_domains_df = cur_df[['holder_owner' , 'domains_owned']]
+        domains_df = pd.concat([domains_df, cur_domains_df  ]).dropna().drop_duplicates(subset=['holder_owner'])
+         
+        cur_df=cur_df[['holder_owner','amount_M']]
+        cur_df =cur_df.astype({
+            "amount_M":float,
+        })
+        cur_df = cur_df.round(2)
+        cur_df.rename(columns={'amount_M': f'AM_{date_range}'}, inplace=True)
+        arr_date_range.append(f'{date_range}')
+        arr_col_pct.append(f'AM_{date_range}')
+        if index==0 :
+            merged_df = cur_df
+            continue
+        merged_df = pd.merge(merged_df, cur_df, on='holder_owner', how='outer')
+  
+    
+   
+    merged_df = pd.merge(merged_df, domains_df, on='holder_owner', how='left')
+
+    merged_df["gmgn"] = merged_df.apply(lambda ser: makeurl(
+    f"https://gmgn.ai/sol/token/{token_add}?tab=activity&maker={ser['holder_owner']}" , "gmgn" ), axis=1)
+
+    merged_df["defined"] = merged_df.apply(lambda ser: makeurl(
+     f"https://www.defined.fi/sol/{token_add}?maker={ser['holder_owner']}" , "defined" ), axis=1)
+    
+    
+    arr_df.append(merged_df)
+    
+    for col_pct in arr_col_pct:
+        cur_df=merged_df.sort_values(by=[col_pct],ascending = False)
+        cur_df =cur_df.head(55)
+        arr_df.append(cur_df)
+
+  
+def save_to_excel(out_excel):
+    global arr_date_range ,arr_df
+    with pd.ExcelWriter(out_excel) as writer:
+        for idx ,cur_df in enumerate(arr_df):
+            if idx==0:
+                cur_df.to_excel(writer, sheet_name='Sheet1', index=False)
+            else:
+                cur_df.to_excel(writer, sheet_name=f'{arr_date_range[idx-1]}', index=False)  
+    return
+
+
+def makeurl( url,url_show):
+    return '=HYPERLINK("{}","{}")'.format(url,  url_show)
+
+if __name__ == "__main__":
+ 
+    # if len(sys.argv)<2:
+    #     print("args queshao ")
+    #     sys.exit(1)
+    
+    arr_file = os.listdir(os.getcwd())
+
+    arr_file = [file for file in arr_file if "dune_holders_xx" in file and file.endswith(".csv")]
+
+ 
+    arr_file.sort()
+    print("read file: ",arr_file)
+    merge_df_fun()
+    time_str = get_nowdate()
+    out_excel =f'003_merge_holders_excel_kuangjia_{time_str}.xlsx'
+    save_to_excel(out_excel)
+ 
+    

src/library/analysis_token/004_special_add_holders_excel_final.py

@@ -0,0 +1,90 @@
+
+# 将不同时间的add 的hold信息合并在一起 分析他们的变化 找出庄家地址/分析庄家变化 
+import pandas as pd
+import sys
+
+import datetime
+import pytz
+from openpyxl.styles import *
+# from openpyxl.styles.colors import RED, GREEN
+arr_file = []
+merged_df = None
+ 
+token_add = ""
+
+
+def makeurl( url,url_show):
+    return '=HYPERLINK("{}","{}")'.format(url,  url_show)
+
+
+
+
+def get_nowdate():
+
+    timestamp = datetime.datetime.now().timestamp()
+    # print(timestamp)
+    dt = datetime.datetime.fromtimestamp(timestamp)
+    tz = pytz.timezone('Asia/Shanghai')
+    normal_time_str = dt.astimezone(tz).strftime('%Y-%m-%d %H:%M:%S')
+    time_str = dt.astimezone(tz).strftime('%m%d%H%M')
+    return time_str
+
+ 
+ 
+arr_df = []
+arr_sheet_names =[]
+merged_hodlers_excel_kuangjia_file = ""
+merged_special_add_hold_info_file=""
+token_add = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump'
+def merge_swap_df_fun_02():
+    global arr_sheet_names
+    global merged_hodlers_excel_kuangjia_file , merged_special_add_hold_info_file
+    global arr_df
+    merged_hodlers_excel = pd.ExcelFile(merged_hodlers_excel_kuangjia_file)
+    arr_sheet_names = list(merged_hodlers_excel.sheet_names)
+    arr_sheet_names.pop(0)
+
+    merged_df= pd.read_excel(merged_special_add_hold_info_file,engine='openpyxl')
+    merged_df["gmgn"] = merged_df.apply(lambda ser: makeurl(
+    f"https://gmgn.ai/sol/token/{token_add}?tab=activity&maker={ser['holder_owner']}" , "gmgn" ), axis=1)
+    merged_df["defined"] = merged_df.apply(lambda ser: makeurl(
+     f"https://www.defined.fi/sol/{token_add}?maker={ser['holder_owner']}" , "defined" ), axis=1)
+    
+  
+    
+    arr_df.append(merged_df)
+    
+    for sheet_name in arr_sheet_names:
+        holder_df = merged_hodlers_excel.parse(sheet_name=sheet_name)
+
+        cur_df = merged_df[  merged_df['holder_owner'].isin(holder_df['holder_owner'])].reset_index(drop=True)
+        cur_df = cur_df.set_index('holder_owner').reindex(holder_df['holder_owner']).reset_index()
+
+        arr_df.append(cur_df)   
+
+
+def save_to_excel(out_excel):
+    global    arr_df ,arr_sheet_names
+    with pd.ExcelWriter(out_excel) as writer:
+        for idx ,cur_df in enumerate(arr_df):
+            sheet_name = ''
+
+            if idx==0:
+                sheet_name = 'Sheet1'
+            else:
+                sheet_name = arr_sheet_names[idx-1]
+            cur_df.to_excel(writer, sheet_name=sheet_name, index=False)
+
+
+def makeurl( url,url_show):
+    return '=HYPERLINK("{}","{}")'.format(url,  url_show)
+
+if __name__ == "__main__":
+  
+    merged_hodlers_excel_kuangjia_file = '003_merge_holders_excel_kuangjia.xlsx'
+    merged_special_add_hold_info_file = '002_merge_special_add_hold_info.xlsx'
+    time_str = get_nowdate()
+    out_excel =f'004_special_add_holders_excel_final_{time_str}.xlsx'
+    
+    merge_swap_df_fun_02()
+    save_to_excel(out_excel)

src/library/analysis_token/005_merge_swap_transfer_row.py

@@ -0,0 +1,89 @@
+# 将dune 上 special的add 的swap和transfer合并在一起
+import pandas as pd
+import sys
+
+import datetime
+import pytz
+
+def makeurl( url,url_show):
+    return '=HYPERLINK("{}","{}")'.format(url,  url_show)
+def get_nowdate():
+
+    timestamp = datetime.datetime.now().timestamp()
+    # print(timestamp)
+    dt = datetime.datetime.fromtimestamp(timestamp)
+    tz = pytz.timezone('Asia/Shanghai')
+    normal_time_str = dt.astimezone(tz).strftime('%Y-%m-%d %H:%M:%S')
+    time_str = dt.astimezone(tz).strftime('%m%d%H%M')
+    return time_str
+
+
+def utc_2_shanghaidate(df , utc_time_col ):
+# 将字符串转换为UTC时间的datetime对象
+    df[utc_time_col] = pd.to_datetime(df[utc_time_col], utc=True)
+    # 定义UTC+8时区
+    utc_plus_8 = pytz.timezone('Asia/Shanghai')
+    # 转换为UTC+8时间
+    # df['shanghai_date'] = df['shanghai_date'].dt.tz_convert(utc_plus_8)
+    # # 提取时间字符串
+    # df['shanghai_date'] = df['shanghai_date'].dt.strftime('%Y-%m-%d %H:%M')
+    df[utc_time_col] = df[utc_time_col].dt.tz_convert(utc_plus_8)
+    # 提取时间字符串
+    df[utc_time_col] = df[utc_time_col].dt.strftime('%Y-%m-%d %H:%M')
+    return df
+
+swap_row_file = ''
+transfer_row_file = ''
+def main():
+    df_swap_row = pd.read_csv(swap_row_file,dtype=object)
+    df_swap_row=df_swap_row.astype({'token_swap_M':float ,
+                                    'eth_swap_amount':float ,
+                                    'block_slot':float,
+                                    'pri':float})
+
+    df_transfer_row = pd.read_csv(transfer_row_file,dtype=object)
+    df_transfer_row = df_transfer_row.astype({'token_transfer_M':float , 'block_slot':float})
+
+
+    df_swap_row.rename(columns={'token_swap_M': 'token_M' }, inplace=True)
+    
+    
+    df_swap_row = utc_2_shanghaidate(df=df_swap_row, utc_time_col='block_time')
+    
+    df_transfer_row = utc_2_shanghaidate(df=df_transfer_row, utc_time_col='block_time')
+
+
+    # 创建两个DataFrame，一个用于'from'列，另一个用于'to'列
+    df_from = df_transfer_row[[ 'tx_id',	'block_time',	'block_slot',	'token_transfer_M' ,'from_owner']].copy()
+    df_from.rename(columns={'from_owner': 'trader_id' , 'token_transfer_M':'token_M'}, inplace=True)
+    df_from['token_M'] = -df_from['token_M']
+
+    df_to = df_transfer_row[[ 'tx_id',	'block_time',	'block_slot',	'token_transfer_M' ,'to_owner']].copy()
+    df_to.rename(columns={'to_owner': 'trader_id','token_transfer_M':'token_M'}, inplace=True)
+    df_to['token_M'] = df_to['token_M']
+
+    # 合并两个DataFrame
+    df_transfer_row = pd.concat([df_from, df_to], ignore_index=True)
+    df_transfer_row['action_type'] = 't'
+    df_transfer_row['token_M'] = df_transfer_row['token_M'].round(4)
+
+    merged_df =  pd.concat([ df_swap_row , df_transfer_row], ignore_index=True)
+    merged_df = merged_df.sort_values(by=['trader_id' , 'block_slot'],ascending=True)
+    
+
+    merged_df["oklink"] = merged_df.apply(lambda ser: makeurl(
+     f"https://www.oklink.com/zh-hans/sol/tx/{ser['tx_id']}" , "oklink" ), axis=1)
+
+    merged_df["scan"] = merged_df.apply(lambda ser: makeurl(
+     f"https://solscan.io/tx/{ser['tx_id']}" , "scan" ), axis=1)
+    
+    merged_df.to_excel(  f'005_merge_swap_transfer_row_{get_nowdate()}.xlsx'  ,index=False)
+    
+    return
+
+
+if __name__ == "__main__":
+   
+    swap_row_file = 'dune_get_tokenswap_row_special_add.csv'
+    transfer_row_file = 'dune_transfer_00_0116日0200.csv'
+    main()

src/library/analysis_token/006_get_specail_time_total_info.py

@@ -0,0 +1,81 @@
+# 将dune 上 special的add 的swap和transfer合并在一起
+import pandas as pd
+import sys
+import re
+import datetime
+import pytz
+
+def makeurl( url,url_show):
+    return '=HYPERLINK("{}","{}")'.format(url,  url_show)
+def get_nowdate():
+
+    timestamp = datetime.datetime.now().timestamp()
+    # print(timestamp)
+    dt = datetime.datetime.fromtimestamp(timestamp)
+    tz = pytz.timezone('Asia/Shanghai')
+    normal_time_str = dt.astimezone(tz).strftime('%Y-%m-%d %H:%M:%S')
+    time_str = dt.astimezone(tz).strftime('%m%d%H%M')
+    return time_str
+def utc_2_shanghaidate(df , utc_time_col ):
+# 将字符串转换为UTC时间的datetime对象
+    df[utc_time_col] = pd.to_datetime(df[utc_time_col], utc=True)
+    # 定义UTC+8时区
+    utc_plus_8 = pytz.timezone('Asia/Shanghai')
+    # 转换为UTC+8时间
+    # df['shanghai_date'] = df['shanghai_date'].dt.tz_convert(utc_plus_8)
+    # # 提取时间字符串
+    # df['shanghai_date'] = df['shanghai_date'].dt.strftime('%Y-%m-%d %H:%M')
+    df[utc_time_col] = df[utc_time_col].dt.tz_convert(utc_plus_8)
+    # 提取时间字符串
+    df[utc_time_col] = df[utc_time_col].dt.strftime('%Y-%m-%d %H:%M')
+    return df
+ 
+
+
+def main():
+    global file_merge_swap_transfer_row
+    df_swap_row = pd.read_excel(file_merge_swap_transfer_row )
+    df_swap_row= df_swap_row[df_swap_row['trader_id'].isin(arr_trader)].reset_index(drop=True)
+    df_swap_row['block_time'] = pd.to_datetime(df_swap_row['block_time'])
+    
+    
+    df_swap_row =df_swap_row[
+ (   df_swap_row['block_time']>pd.Timestamp(start_datetime) )
+    & (df_swap_row['block_time']<=pd.Timestamp(end_datetime))    
+    ].reset_index(drop=True)
+
+    df_swap_row["oklink"] = df_swap_row.apply(lambda ser: makeurl(
+     f"https://www.oklink.com/zh-hans/sol/tx/{ser['tx_id']}" , "oklink" ), axis=1)
+
+    df_swap_row["scan"] = df_swap_row.apply(lambda ser: makeurl(
+     f"https://solscan.io/tx/{ser['tx_id']}" , "scan" ), axis=1)
+    
+    
+    df_swap_row.to_excel(  f'006_merge_swap_transfer_total_info_{str_start}-{str_end}.xlsx'  ,index=False)
+    
+ 
+    return
+
+start_datetime =   '2025-01-09 01:00:00'
+end_datetime = '2025-01-16 02:00:00'
+ 
+str_start =  re.split(r'[- :]', start_datetime)
+str_start =  str_start[1]+str_start[2]+ '日'+ str_start[3]+str_start[4]
+
+str_end =  re.split(r'[- :]', end_datetime)
+str_end =  str_end[1]+str_end[2]+ '日'+ str_end[3]+str_end[4]
+
+df_all_holders = pd.read_excel('001_all_holders.xlsx')
+df_all_holders=df_all_holders.dropna(subset=['holder_owner'])
+
+arr_trader = [
+ 
+]
+arr_trader  = df_all_holders['holder_owner'].tolist()
+
+file_merge_swap_transfer_row  =  '005_merge_swap_transfer_row.xlsx'
+
+
+
+ 
+main()

src/library/analysis_token/2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump/001_01_merge_dune_hold_info_from_manydunecsv_to_一个多列的xlsx文档.py

@@ -0,0 +1,76 @@
+
+# 将special add 在不同时间持仓的csv合并为一个excel
+import pandas as pd
+import sys
+import os
+
+arr_file = []
+merged_df = None
+domains_df= None
+
+
+def makeurl( url,url_show):
+    return '=HYPERLINK("{}","{}")'.format(url,  url_show)
+
+def merge_df_fun():
+    arr_date_range =[]
+    arr_col_pct=[]
+    
+    global arr_file , merged_df , domains_df,token_add
+    for index, file in enumerate(arr_file):
+        date_range = file.replace(".csv","").split("_")
+        date_range = date_range[-2]+"_"+date_range[-1]
+
+        cur_df =   pd.read_csv(file ,dtype=object)
+        cur_df=cur_df.dropna(subset=['holder_owner'])
+
+        cur_domains_df = cur_df[['holder_owner' , 'domains_owned']]
+        domains_df = pd.concat([domains_df, cur_domains_df  ]).dropna().drop_duplicates(subset=['holder_owner'])
+         
+        cur_df=cur_df[['holder_owner','amount_M']]
+        cur_df =cur_df.astype({
+            "amount_M":float,
+        })
+
+        cur_df.rename(columns={'amount_M': f'AM_{date_range}'}, inplace=True)
+        arr_date_range.append(f'{date_range}')
+        arr_col_pct.append(f'AM_{date_range}')
+        if index==0 :
+            merged_df = cur_df
+            continue
+        merged_df = pd.merge(merged_df, cur_df, on='holder_owner', how='outer')
+  
+    
+    # merged_df=merged_df.fillna(-1)
+    print(merged_df)
+    merged_df = pd.merge(merged_df, domains_df, on='holder_owner', how='left')
+
+    merged_df["gmgn"] = merged_df.apply(lambda ser: makeurl(
+    f"https://gmgn.ai/sol/token/{token_add}?tab=activity&maker={ser['holder_owner']}" , "gmgn" ), axis=1)
+
+    merged_df["defined"] = merged_df.apply(lambda ser: makeurl(
+     f"https://www.defined.fi/sol/{token_add}?maker={ser['holder_owner']}" , "defined" ), axis=1)
+    
+  
+    merged_df.to_excel('001_01_merge_dune_hold_info_from_manydunecsv_to_一个多列的xlsx文档.xlsx' ,index=False)
+
+ 
+ 
+if __name__ == "__main__":
+ 
+    if len(sys.argv)<2:
+        print("args queshao ")
+        sys.exit(1)
+    token_add = sys.argv[1]
+    # arr_file =sys.argv[2:]
+    # print(arr_file)
+    # arr_file = [file for file in arr_file if "dune_holders_xx" in file and file.endswith(".csv")]
+ 
+    arr_file = os.listdir(os.getcwd())
+  
+    arr_file = [file for file in arr_file if "dune_holders_xx" in file and file.endswith(".csv")]
+    
+    arr_file.sort()
+    print("read file: ",arr_file)
+    merge_df_fun()
+ 

src/library/analysis_token/2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump/001_handle_json_top_trader.py

@@ -0,0 +1,132 @@
+import pandas as pd
+import json
+import os
+arr_json_data = []
+ 
+token_add= '2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump'
+arr_store_keys = [
+         "address",
+        "sell_amount_cur",
+        "buy_amount_cur",
+
+        
+        "buy_tx_count_cur",
+        "sell_tx_count_cur",
+        
+        "profit",
+        "realized_profit",
+        "avg_cost",
+        "avg_sold",
+        "start_holding_at",
+        "end_holding_at"
+]
+aar =   {
+        "address": "EZZk361QgZDMx52AmMyc4NjFkuaNrdegwAxrLEbeaR94",
+        "sell_amount_cur": 34148763.167781,        
+        "buy_amount_cur": 34148763.167781,
+
+        "buy_tx_count_cur": 9,
+        "sell_tx_count_cur": 77,
+        
+        "profit": 4928.853565607387,
+        "realized_profit": 4928.853565607387,
+        "avg_cost": 0.000043969347937453594,
+        "avg_sold": 0.00018887449941234176,
+        "start_holding_at": 1742168061,
+        "end_holding_at": 1742172930,
+        "tags": [
+            "sandwich_bot"
+        ],
+ 
+    } 
+    
+def get_handle_json_top_trader():
+
+    global arr_file,token_add  , arr_json_data
+    arr_file = []
+ 
+    with open(f'top_trader_gmgn_{token_add}.json', 'r',encoding='utf8') as f:
+        old_arr_json_data = json.load(f)
+ 
+    
+    for obj in old_arr_json_data:
+        filtered_obj = {}
+        # 遍历obj的每一个value 元素，如果元素是数组或者obj，就删除这个key，否则就保留这个key
+        for key, value in obj.items():
+            if isinstance(value, list) or isinstance(value, dict):
+                continue
+            else:
+                if key in arr_store_keys:
+                    filtered_obj[key] = value
+                else:
+                    continue
+                
+                
+        arr_json_data.append(filtered_obj)
+    
+    return
+                
+import pytz
+def utc_2_shanghaidate(df , utc_time_col ):
+# 将字符串转换为UTC时间的datetime对象
+    # df[utc_time_col] = pd.to_datetime(df[utc_time_col], utc=True)
+    # 定义UTC+8时区
+    utc_plus_8 = pytz.timezone('Asia/Shanghai')
+    # 转换为UTC+8时间
+    df[utc_time_col] = df[utc_time_col].dt.tz_localize('UTC')
+    # # 提取时间字符串
+    # df['shanghai_date'] = df['shanghai_date'].dt.strftime('%Y-%m-%d %H:%M')
+    df[utc_time_col] = df[utc_time_col].dt.tz_convert(utc_plus_8)
+    # 提取时间字符串
+    df[utc_time_col] = df[utc_time_col].dt.strftime('%Y-%m-%d %H:%M')
+    return df
+
+ 
+
+def arr_json_2_df():
+    global arr_json_data
+    df  = pd.DataFrame(arr_json_data)
+    # print(df)
+    df['sell_token_amount'] = df['sell_amount_cur']  / 1e6
+    df['buy_token_amount'] = df['buy_amount_cur']  / 1e6
+    
+    df['buy_tx_count'] = df['buy_tx_count_cur']  
+    df['sell_tx_count'] = df['sell_tx_count_cur']  
+    # 将价格转化为是市值 xxxK的市值
+    df['avg_cost'] = df['avg_cost'] *( 1e3 * 1e6/1e3) 
+    df['avg_sold'] = df['avg_sold'] *( 1e3 * 1e6 / 1e3)
+    
+    df['duration'] = (df['end_holding_at'] - df['start_holding_at'] )/60/60
+    
+    df["start_datetime"] = pd.to_datetime(df["start_holding_at"], unit='s'  )
+    df = utc_2_shanghaidate(df, "start_datetime")
+
+    df["end_datetime"] = pd.to_datetime(df["end_holding_at"], unit='s' )
+    
+    df = utc_2_shanghaidate(df, "end_datetime")
+    df =df [[       "address",
+        "buy_token_amount",
+        "sell_token_amount",
+
+        
+        "buy_tx_count_cur",
+        "sell_tx_count_cur",
+        
+        # "profit",
+        "realized_profit",
+        "avg_cost",
+        "avg_sold",
+        "start_datetime",
+        "end_datetime" ,
+        "duration"
+        ]]
+    
+    df =df.sort_values(by=['realized_profit'], ascending=False)
+    
+ 
+    df.to_excel(f'top_trader_gmgn_{token_add}.xlsx',index=False)
+ 
+
+
+get_handle_json_top_trader()
+arr_json_2_df()

src/library/analysis_token/2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump/dune_holders_xx_xx_0317日0655.csv

@@ -0,0 +1,27 @@
+holder_owner,domains_owned,amount_M,pct_supply
+5Q544fKrFoe6tsEbD7S8EmxGTJYAKtTVhAW5Q5pge4j1,raydiumpool.sol,219.93,21.99
+B7Zpksf18iYLuKMX4g9SURACkCGRPEtk9KZbGhrFr8ym,,37.69,3.77
+J4rYYPEXHwYMvyNzVwRsTyaSVpHv4SXK6kQNGgvBdvc4,,29.74,2.97
+oVHpCFMvZ1ZPinBeUGNSf93T4A5Ru9pguQ696Bp6uAE,,23.24,2.32
+EZZk361QgZDMx52AmMyc4NjFkuaNrdegwAxrLEbeaR94,,22.57,2.26
+6ruqEocByFM5wUtc2kbA2j2ctG78RtunHmedKjjSrNDw,,22.41,2.24
+9H8wEA9ALybJbRmBxjendamofQJZa4VCW4z4fDo37zA4,,21.56,2.16
+282Si2J6j5MPnLbHxzrGDAYnTw5Gu4SnKMSt4EaVsecD,,20.75,2.08
+3gvWGDyDT2Q9xC5hAD4ezg56UEapi5g1anYNU8rG76mH,,20.42,2.04
+7tFoVM37AthibakVAUAKAvBMtLnwPRGQmGhNEYZ2Jjtx,,16.04,1.6
+42LqGvRxTiHNz9tNni71PoTqYyrrmYXLc6oSVpEAMazX,,14.84,1.48
+2ZWG4EFE2dWbFsw5r2J4rcZVBU7HrxtcjbV83SMc2FJ1,,14.73,1.47
+BQBFWthKHfiuvGHjTmu57hwSCXYn3PeJey4rigyaCRxt,,10.82,1.08
+7GpiTzud8oKFMWGXAaAHRmRUt7WBFGS8Sb1Tcjd9ZPU5,,10.25,1.02
+CVcM4qWbAgpwS5SRnm9gdRoNkyF7LocgQee3nG6rUdKW,,10.14,1.01
+9KeLdkWnSJKLXpeNdKnsJX2R4V1BjNpo1md6uPh4ZuCi,,9.31,0.93
+2mPTV3XF81ywJZnpsNS2Lt28mvnCdKvY1DT7FqNsyQ2w,,8.74,0.87
+BqwqBzh6j1jiA4qNLkwk6YL2ZjwGLbKSCuARbmMsaz6p,,8.53,0.85
+7AN8sNmLgXhfi2whnCQ2ULdP4BCp1oFo7D3zmPaZHx93,,8.37,0.84
+9sMmDCA8w1Xx2vqpS4WwZEHpQxqm2bytXM8K3GPmEkt4,,7.6,0.76
+8AZ1zezFUym8rfN4WVSVf7n2WV4j1XzNqQABDqLPQiMt,,7.35,0.74
+8iLfJvRjzWdoxwn1PLCHCzGHfcLfNH8Wf6faQLsBUHPg,,6.85,0.69
+2AAYRsTauytE6zEzW7xCcmo2ALamNE6pKMTXf4L6hWWn,,6.74,0.67
+DTdHa4auX68jFtXv9wkzMYCahg295AnRuwvm6moW6meZ,,6.38,0.64
+3tQi2NfLkAUndq7Vy8uXQeN8NBrTdEVmQBnXEXYaxsdR,,6.11,0.61
+HU8vahPa5UiHUv4S7xBYonY1jG7Cs5han1wac3RCqKPR,,6.01,0.6

src/library/analysis_token/2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump/dune_holders_xx_xx_0317日0745.csv

@@ -0,0 +1,27 @@
+holder_owner,domains_owned,amount_M,pct_supply
+5Q544fKrFoe6tsEbD7S8EmxGTJYAKtTVhAW5Q5pge4j1,raydiumpool.sol,159.36,15.94
+B7Zpksf18iYLuKMX4g9SURACkCGRPEtk9KZbGhrFr8ym,,37.69,3.77
+6ruqEocByFM5wUtc2kbA2j2ctG78RtunHmedKjjSrNDw,,22.41,2.24
+3gvWGDyDT2Q9xC5hAD4ezg56UEapi5g1anYNU8rG76mH,,20.42,2.04
+215nhcAHjQQGgwpQSJQ7zR26etbjjtVdW74NLzwEgQjP,globalist.sol,18.63,1.86
+oVHpCFMvZ1ZPinBeUGNSf93T4A5Ru9pguQ696Bp6uAE,,18.07,1.81
+282Si2J6j5MPnLbHxzrGDAYnTw5Gu4SnKMSt4EaVsecD,,17.63,1.76
+42LqGvRxTiHNz9tNni71PoTqYyrrmYXLc6oSVpEAMazX,,16.36,1.64
+5dd3zjBQQvQqtmWF67nR6XaRKe79cYu4fP6LFXZ1YRR9,,11.98,1.2
+HLPKfYcvsciAe6ZFSgQML2onAxeU6VorfaQuqxKZXEK7,,11.52,1.15
+6YQuF8AScxiACGKCUNBPp9dEroiCvrUZY29yeqi2GyEZ,mackle.sol,11.36,1.14
+6f7SLxeLrQNnvZWG3xbGWRkcvfrNpdzSWRG9V1cP8MVL,,11.06,1.11
+BKAZ5s1SgVL8JABm2hEAvpj6fiy5UtYU3gMHju98siKx,,11.01,1.1
+zLbjkaciiZDwiVRF9Nokx3LSDLv5vqotYYbLY89r9V3,,10.96,1.1
+EZZk361QgZDMx52AmMyc4NjFkuaNrdegwAxrLEbeaR94,,10.93,1.09
+neBA9zw89tstioASpgvCHceuo4WUa5n1Nxb27wPYPRS,,10.93,1.09
+FtAvgNEaEFsix5JGFRn3TNFwjMNkFtA5Q3zRF27eFTvz,,10.11,1.01
+3wtdAf1cGCTxJydfSbJnpXaLzwA2yqhVdRzxS99F2ExG,,8.35,0.84
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+979YWPtca2uhAhUAZxhsqh8KAVGwjnYBqmp8nnvzZ1yP,,7.97,0.8
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src/library/analysis_token/2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump/dune_holders_xx_xx_0317日1000.csv

@@ -0,0 +1,27 @@
+holder_owner,domains_owned,amount_M,pct_supply
+5Q544fKrFoe6tsEbD7S8EmxGTJYAKtTVhAW5Q5pge4j1,raydiumpool.sol,160.35,16.04
+,,38.2,3.82
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src/library/analysis_token/2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump/top_trader_gmgn_2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump.json

@@ -0,0 +1,5201 @@
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+        "native_transfer": {
+            "name": "Binance",
+            "from_address": "5tzFkiKscXHK5ZXCGbXZxdw7gTjjD1mBwuoFbhUvuAi9",
+            "timestamp": 1741526246
+        },
+        "tags": [
+            "bullx"
+        ],
+        "maker_token_tags": [
+            "paper_hands"
+        ],
+        "name": null,
+        "avatar": null,
+        "twitter_username": null,
+        "twitter_name": null,
+        "created_at": 1734726638
+    },
+    {
+        "address": "HdJMoReXPN8HfhdtJkRio5rdijWqak5vcNuWX5NfQUrS",
+        "account_address": "4Gta9FdjU1f5qXYB7ytSWgteJBYHHDkv2pESD2Hz9cfR",
+        "addr_type": 0,
+        "amount_cur": 0,
+        "usd_value": 0,
+        "cost_cur": 0,
+        "sell_amount_cur": 13509558.250148,
+        "sell_amount_percentage": 1,
+        "sell_volume_cur": 851.53740826242,
+        "buy_volume_cur": 405.5987634249999,
+        "buy_amount_cur": 13509558.250148,
+        "netflow_usd": -445.93864483742004,
+        "netflow_amount": 0,
+        "buy_tx_count_cur": 2,
+        "sell_tx_count_cur": 3,
+        "wallet_tag_v2": "TOP94",
+        "native_balance": "1725205",
+        "balance": 0,
+        "profit": 445.5591769374201,
+        "realized_profit": 445.5591769374201,
+        "profit_change": 1.0974952412675896,
+        "amount_percentage": 0,
+        "unrealized_profit": 0,
+        "unrealized_pnl": null,
+        "avg_cost": 0.000030023095938059743,
+        "avg_sold": 0.00006303221707882944,
+        "accu_amount": 0,
+        "accu_cost": 0,
+        "cost": 0,
+        "total_cost": 405.9782313249999,
+        "transfer_in": false,
+        "is_new": false,
+        "is_suspicious": false,
+        "start_holding_at": 1742164057,
+        "end_holding_at": 1742164641,
+        "last_active_timestamp": 1742164641,
+        "native_transfer": {
+            "name": null,
+            "from_address": "AxiomRYAid8ZDhS1bJUAzEaNSr69aTWB9ATfdDLfUbnc",
+            "timestamp": 1741434661
+        },
+        "tags": [
+            "photon",
+            "gmgn"
+        ],
+        "maker_token_tags": [
+            "paper_hands"
+        ],
+        "name": null,
+        "avatar": null,
+        "twitter_username": null,
+        "twitter_name": null,
+        "created_at": 1740602508
+    },
+    {
+        "address": "CMCimXg8GULaSW8s1L4yA4vwuR3BYGRanZfWVetDXfs9",
+        "account_address": "DwXzazwTkSiv25HfBYfZ3erpaK34UdYekX4Muc8Y5zrD",
+        "addr_type": 0,
+        "amount_cur": 0,
+        "usd_value": 0,
+        "cost_cur": 0,
+        "sell_amount_cur": 4426968.4384,
+        "sell_amount_percentage": 1,
+        "sell_volume_cur": 707.26096096407,
+        "buy_volume_cur": 264.45468342014,
+        "buy_amount_cur": 4464920.260614,
+        "netflow_usd": -442.80627754393004,
+        "netflow_amount": 37951.82221399993,
+        "buy_tx_count_cur": 1,
+        "sell_tx_count_cur": 2,
+        "wallet_tag_v2": "TOP95",
+        "native_balance": "23018272",
+        "balance": 0,
+        "profit": 445.0541423528607,
+        "realized_profit": 445.0541423528607,
+        "profit_change": 1.6973400795223816,
+        "amount_percentage": 0,
+        "unrealized_profit": 0,
+        "unrealized_pnl": null,
+        "avg_cost": 0.00005922943031098457,
+        "avg_sold": 0.0001597619162651381,
+        "accu_amount": 0,
+        "accu_cost": 0,
+        "cost": 0,
+        "total_cost": 262.2068186112093,
+        "transfer_in": false,
+        "is_new": false,
+        "is_suspicious": false,
+        "start_holding_at": 1742167603,
+        "end_holding_at": 1742168931,
+        "last_active_timestamp": 1742168931,
+        "native_transfer": {
+            "name": null,
+            "from_address": "6xY8Y5kHGgGPdZwbyZLePyTUnmn3SiQx5NwjqWJWar7G",
+            "timestamp": 1741283759
+        },
+        "tags": [],
+        "maker_token_tags": [
+            "paper_hands"
+        ],
+        "name": null,
+        "avatar": null,
+        "twitter_username": null,
+        "twitter_name": null,
+        "created_at": 1734810813
+    },
+    {
+        "address": "hnu5iBK8UoHb51UFsH1RYTUAYdrhjHvV5YMTf9T1CYN",
+        "account_address": "4htcJxHbgzkBFytLpW5WVtNag1mrqsRRHJ3gZ4cn61FK",
+        "addr_type": 0,
+        "amount_cur": 0,
+        "usd_value": 0,
+        "cost_cur": 0,
+        "sell_amount_cur": 37480560.618192,
+        "sell_amount_percentage": 1,
+        "sell_volume_cur": 12947.35854918916,
+        "buy_volume_cur": 12502.7884887739,
+        "buy_amount_cur": 37480560.618192,
+        "netflow_usd": -444.57006041526074,
+        "netflow_amount": 0,
+        "buy_tx_count_cur": 86,
+        "sell_tx_count_cur": 49,
+        "wallet_tag_v2": "TOP96",
+        "native_balance": "17241749574",
+        "balance": 0,
+        "profit": 438.66814402034,
+        "realized_profit": 438.66814402034,
+        "profit_change": 0.03506907036719641,
+        "amount_percentage": 0,
+        "unrealized_profit": 0,
+        "unrealized_pnl": null,
+        "avg_cost": 0.0003335806157260465,
+        "avg_sold": 0.0003454419660656004,
+        "accu_amount": 0,
+        "accu_cost": 0,
+        "cost": 0,
+        "total_cost": 12508.69040516882,
+        "transfer_in": false,
+        "is_new": false,
+        "is_suspicious": false,
+        "start_holding_at": 1742231862,
+        "end_holding_at": 1742231911,
+        "last_active_timestamp": 1742231911,
+        "native_transfer": {
+            "name": null,
+            "from_address": "3cmWRfWGsnWMVDjPufUg3jKzDpbEz446G8U4kDQj47g4",
+            "timestamp": 1741569176
+        },
+        "tags": [],
+        "maker_token_tags": [
+            "paper_hands"
+        ],
+        "name": null,
+        "avatar": null,
+        "twitter_username": null,
+        "twitter_name": null,
+        "created_at": 1716335556
+    },
+    {
+        "address": "AaHwJHMUmruyorpaVEU6znqDe5svCh5vQVzQqojgH9Fh",
+        "account_address": "6t5EKQf1B8eznTURLHR83DDGJkVs3YfXL3rZZZvAb2yJ",
+        "addr_type": 0,
+        "amount_cur": 0,
+        "usd_value": 0,
+        "cost_cur": 0,
+        "sell_amount_cur": 2510692.842275,
+        "sell_amount_percentage": 1,
+        "sell_volume_cur": 658.92447673962,
+        "buy_volume_cur": 221.79790795,
+        "buy_amount_cur": 2510692.842275,
+        "netflow_usd": -437.12656878962,
+        "netflow_amount": 0,
+        "buy_tx_count_cur": 4,
+        "sell_tx_count_cur": 5,
+        "wallet_tag_v2": "TOP97",
+        "native_balance": "4037056321",
+        "balance": 0,
+        "profit": 436.21514115957973,
+        "realized_profit": 436.21514115957973,
+        "profit_change": 1.9586747004721177,
+        "amount_percentage": 0,
+        "unrealized_profit": 0,
+        "unrealized_pnl": null,
+        "avg_cost": 0.00008834131527973907,
+        "avg_sold": 0.0002624472677998127,
+        "accu_amount": 0,
+        "accu_cost": 0,
+        "cost": 0,
+        "total_cost": 222.7093355800403,
+        "transfer_in": false,
+        "is_new": false,
+        "is_suspicious": false,
+        "start_holding_at": 1742174225,
+        "end_holding_at": 1742174905,
+        "last_active_timestamp": 1742174905,
+        "native_transfer": {
+            "name": null,
+            "from_address": "AxiomRYAid8ZDhS1bJUAzEaNSr69aTWB9ATfdDLfUbnc",
+            "timestamp": 1741553267
+        },
+        "tags": [],
+        "maker_token_tags": [
+            "paper_hands"
+        ],
+        "name": null,
+        "avatar": null,
+        "twitter_username": null,
+        "twitter_name": null,
+        "created_at": 1737571621
+    },
+    {
+        "address": "2zRr9EugJ1SAQgdG7ZroKrbyAs1ZSaWVLBbAt83UV5ho",
+        "account_address": "7E2AMkrFjhZ9k7vTfTHPdHbWFQ3RHgU1hTetokcgY2Yq",
+        "addr_type": 0,
+        "amount_cur": 0,
+        "usd_value": 0,
+        "cost_cur": 0,
+        "sell_amount_cur": 7032115.541093,
+        "sell_amount_percentage": 1,
+        "sell_volume_cur": 1765.86936150193,
+        "buy_volume_cur": 1336.272212,
+        "buy_amount_cur": 7032115.541093,
+        "netflow_usd": -429.59714950192983,
+        "netflow_amount": 0,
+        "buy_tx_count_cur": 9,
+        "sell_tx_count_cur": 8,
+        "wallet_tag_v2": "TOP98",
+        "native_balance": "74401909414",
+        "balance": 0,
+        "profit": 421.86768230193,
+        "realized_profit": 421.86768230193,
+        "profit_change": 0.3138892523951618,
+        "amount_percentage": 0,
+        "unrealized_profit": 0,
+        "unrealized_pnl": null,
+        "avg_cost": 0.00019002421166025148,
+        "avg_sold": 0.00025111495270276253,
+        "accu_amount": 0,
+        "accu_cost": 0,
+        "cost": 0,
+        "total_cost": 1344.0016792,
+        "transfer_in": false,
+        "is_new": false,
+        "is_suspicious": false,
+        "start_holding_at": 1742170463,
+        "end_holding_at": 1742204836,
+        "last_active_timestamp": 1742204836,
+        "native_transfer": {
+            "name": null,
+            "from_address": "ChGA1Wbh9WN8MDiQ4ggA5PzBspS2Z6QheyaxdVo3XdW6",
+            "timestamp": 1741576615
+        },
+        "tags": [
+            "sandwich_bot",
+            "bullx"
+        ],
+        "maker_token_tags": [],
+        "name": null,
+        "avatar": null,
+        "twitter_username": null,
+        "twitter_name": null,
+        "created_at": 1739579859
+    },
+    {
+        "address": "FTLp8RPENCoR5MMQqgJ4yG6wBEhBZShw2UiM6egRnNbC",
+        "account_address": "7FzGVU6ZnKXeR4VV2YBb43Se6hxA7GHEcsgvJ2Zw9fkc",
+        "addr_type": 0,
+        "amount_cur": 0,
+        "usd_value": 0,
+        "cost_cur": 0,
+        "sell_amount_cur": 56828562.838419,
+        "sell_amount_percentage": 1,
+        "sell_volume_cur": 946.71296620065,
+        "buy_volume_cur": 515.4723571757688,
+        "buy_amount_cur": 56828562.838419,
+        "netflow_usd": -431.2406090248812,
+        "netflow_amount": 0,
+        "buy_tx_count_cur": 3,
+        "sell_tx_count_cur": 8,
+        "wallet_tag_v2": "TOP99",
+        "native_balance": "0",
+        "balance": 0,
+        "profit": 421.4951340469761,
+        "realized_profit": 421.4951340469761,
+        "profit_change": 0.80251489618816,
+        "amount_percentage": 0,
+        "unrealized_profit": 0,
+        "unrealized_pnl": null,
+        "avg_cost": 0.00000907065622337511,
+        "avg_sold": 0.000016659104487517042,
+        "accu_amount": 0,
+        "accu_cost": 0,
+        "cost": 0,
+        "total_cost": 525.217832153674,
+        "transfer_in": false,
+        "is_new": false,
+        "is_suspicious": false,
+        "start_holding_at": 1742162523,
+        "end_holding_at": 1742197547,
+        "last_active_timestamp": 1742197547,
+        "native_transfer": {
+            "name": "Binance",
+            "from_address": "5tzFkiKscXHK5ZXCGbXZxdw7gTjjD1mBwuoFbhUvuAi9",
+            "timestamp": 1741519279
+        },
+        "tags": [
+            "gmgn"
+        ],
+        "maker_token_tags": [],
+        "name": "yukino",
+        "avatar": "https://pbs.twimg.com/profile_images/1892099413939531776/FtQCHsB9.jpg",
+        "twitter_username": "shyuki_",
+        "twitter_name": "yukino",
+        "created_at": 1740377811
+    },
+    {
+        "address": "DFqvPbXE6379ovgpAnoMszMrje7Mz8FvLsXYNdkLSUpm",
+        "account_address": "CDGFQ9i1JtdNSA3RjDbMKjtr4gjF9GgNscShCmCEjC4F",
+        "addr_type": 0,
+        "amount_cur": 0,
+        "usd_value": 0,
+        "cost_cur": 0,
+        "sell_amount_cur": 3804991.284462,
+        "sell_amount_percentage": 1,
+        "sell_volume_cur": 838.38155849558,
+        "buy_volume_cur": 417.4498489,
+        "buy_amount_cur": 3804991.284462,
+        "netflow_usd": -420.93170959557995,
+        "netflow_amount": 0,
+        "buy_tx_count_cur": 6,
+        "sell_tx_count_cur": 5,
+        "wallet_tag_v2": "TOP100",
+        "native_balance": "0",
+        "balance": 0,
+        "profit": 420.71989244558,
+        "realized_profit": 420.71989244558,
+        "profit_change": 1.007322257808582,
+        "amount_percentage": 0,
+        "unrealized_profit": 0,
+        "unrealized_pnl": null,
+        "avg_cost": 0.00010971111828946662,
+        "avg_sold": 0.0002203373137592144,
+        "accu_amount": 0,
+        "accu_cost": 0,
+        "cost": 0,
+        "total_cost": 417.66166605,
+        "transfer_in": false,
+        "is_new": false,
+        "is_suspicious": false,
+        "start_holding_at": 1742168063,
+        "end_holding_at": 1742171507,
+        "last_active_timestamp": 1742171507,
+        "native_transfer": {
+            "name": null,
+            "from_address": "7gejvbAmM7HNXY7rn2jvdx93fAyCM4k4vnRMnDyKHgHr",
+            "timestamp": 1742086576
+        },
+        "tags": [
+            "bullx"
+        ],
+        "maker_token_tags": [
+            "paper_hands"
+        ],
+        "name": null,
+        "avatar": null,
+        "twitter_username": null,
+        "twitter_name": null,
+        "created_at": 1742093554
+    }
+]

src/library/analysis_token/2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump/不确定dune_holders_xx_xx_0317日0620.csv

@@ -0,0 +1,27 @@
+holder_owner,domains_owned,amount_M,pct_supply
+DRmX6MzLEB5UbuCHujn7askeohc1TCbsJf7wnn8HUuWy,,43.58,4.36
+GSAikdWfDHgY8Zsz1DnwsQNiiAwoowHTFmSv2sEZNJGS,,30.9,3.09
+9sYzSv2VN3MsBEFiR2aesN4EZGLGwM2tbFLeCM2NHBNf,,27.86,2.79
+GHqWJ3KxvTALTgPTssXwpvqMjr9SeDDfbZQxabKhYcmx,,26.81,2.68
+CVcM4qWbAgpwS5SRnm9gdRoNkyF7LocgQee3nG6rUdKW,,25.23,2.52
+HbuRPHj2rssVeBe4fXFLQaqZGEvsvwdfGDNjeAejVPu9,,24.15,2.42
+9SySwmGj8ZyzxcoeZ5EUJdQ8gjvdfAnfP8RDHrAKD7AN,,20.59,2.06
+BqwqBzh6j1jiA4qNLkwk6YL2ZjwGLbKSCuARbmMsaz6p,,20.22,2.02
+9Q4CVx77eJKQkVahxSph6H4dWSvh1PziEa2VGzVEmJjR,,19.36,1.94
+2mPTV3XF81ywJZnpsNS2Lt28mvnCdKvY1DT7FqNsyQ2w,,18.3,1.83
+2JMXseMZh2DhUwYHj9psoZ9YzQXXzHUmfgESdPKXvcQQ,,14.7,1.47
+EsBxbxj86ZiqYq9EtumvuiJNybNTeS84iAv6A35FB6fx,,11.55,1.16
+Dd47tR3SCkCD8B2gV2eayPQuGXckuvA9EV9Aetht7KRQ,,11,1.1
+3gvWGDyDT2Q9xC5hAD4ezg56UEapi5g1anYNU8rG76mH,,10.45,1.05
+965XB2QNTdpxrGfiXKhdjsxRLDUVqf3Kc7vetmyqe9zp,,9.76,0.98
+rkewuyTScR3cH9kZFX9yxSHxUoj77pQwGf84e6VNvcc,,9.22,0.92
+FgatT4UdXGwdNP557zbDFscc8D452F4ezUfG6DQXDF9v,,9.14,0.91
+HPczfmGKV7Dbqb5yiQTxkEHTm2ugAJZ8pKmzJeNZaGRX,,8.25,0.83
+2KngczUUyKypmkPe2vbr5jBtAxGFfJwVqE6X6vLHxGvs,,8.21,0.82
+3Vt9hcu3HCqZajqqNPjy1bVmdi5C6f9q73QfgzKZeV7i,,8.07,0.81
+Bsafj6bHwmnPfBQZG2vTf6M5wgoW2Kg5AsNhW54twKA2,,8.04,0.8
+7P4YNbBApaD1aijnNsbqZhFNG5uBJ67z9mxGEXxyH4bg,,7.89,0.79
+GGfXyUVdE8sQe7iAR9s29e9DVoWZ6oXXK1rJRrSisD7f,,7.1,0.71
+8LeAYA5gie2fYZfaUUdY246q5tav99EpDE9LDynYNSz9,,6.69,0.67
+ByQUUijePim3b7nj5TC5pBNf7gM2x3jphrQXLBgTFfCj,,6.53,0.65
+FTLp8RPENCoR5MMQqgJ4yG6wBEhBZShw2UiM6egRnNbC,,6.39,0.64

src/library/analysis_token/3DRnsQ5GA2XKk8WJ3yB46KbcRWGtA3E6cgFaqzJWpump/001_merge_top20_holders_add.py

@@ -0,0 +1,77 @@
+
+# 获取每一个时间段的top20 持仓，汇总到一个excel表格中
+import pandas as pd
+import sys
+import os
+ 
+
+arr_file = []
+merged_df = None
+
+def map_exclude_df(df1,ex_df):
+  
+    
+    ex_df.rename(columns={'ex_add': 'holder_owner', 'info': 'domains_owned'}, inplace=True)
+
+    # 使用merge创建一个临时DataFrame，只包含匹配的行
+    temp_df = df1[['holder_owner']].merge(ex_df, on='holder_owner', how='left')
+    
+    # 更新df1的'b1'列
+    df1.set_index('holder_owner', inplace=True)
+    temp_df.set_index('holder_owner', inplace=True)
+    df1.update(temp_df)
+
+    # 重置索引
+    df1.reset_index(inplace=True)
+
+    return df1
+
+def merge_df_fun():
+ 
+    
+    global arr_file , merged_df , domains_df,token_add
+    for index, file in enumerate(arr_file):
+               
+        cur_df =   pd.read_csv(file ,dtype=object)
+        cur_df=cur_df.dropna(subset=['holder_owner'])
+
+        cur_df =cur_df.astype({
+            "amount_M":float,
+        })
+
+
+        cur_df=cur_df.sort_values(by=['amount_M'],ascending = False)
+        cur_df =cur_df.head(22)
+        cur_df=cur_df[['holder_owner','domains_owned']]
+
+
+        if index==0 :
+            merged_df = cur_df
+            continue
+        merged_df = pd.concat([merged_df, cur_df])
+  
+    
+    merged_df =merged_df.drop_duplicates(subset=['holder_owner'])
+
+    ex_df = pd.read_csv('exclude_add.csv',dtype=object)
+    merged_df=map_exclude_df(merged_df ,ex_df)
+
+    
+    merged_df.to_excel('001_top20_holders.xlsx', index=False)
+
+ 
+    
+
+if __name__ == "__main__":
+ 
+ 
+    arr_file = os.listdir(os.getcwd())
+  
+    arr_file = [file for file in arr_file if "dune_holders_xx" in file and file.endswith(".csv")]
+ 
+    arr_file.sort()
+    print("read file: ",arr_file)
+    
+    merge_df_fun()
+ 
+    

src/library/analysis_token/3DRnsQ5GA2XKk8WJ3yB46KbcRWGtA3E6cgFaqzJWpump/002_handle_dune_buy_sametoken.py

@@ -0,0 +1,55 @@
+
+# 获取每一个时间段的top20 持仓，汇总到一个excel表格中
+import pandas as pd
+import sys
+import os
+import time
+
+arr_file = []
+merged_df = None
+def makeurl( url,url_show):
+    return '=HYPERLINK("{}","{}")'.format(url,  url_show)
+def handle_df_fun():
+    
+    global arr_file , merged_df 
+    for index, file in enumerate(arr_file):
+        cur_df =   pd.read_csv(file )
+        cur_df =cur_df.astype({
+            "trader_number":int,
+        })
+
+        if index==0 :
+            merged_df = cur_df
+            continue
+
+    merged_df["gmgn"] = merged_df.apply(lambda ser: makeurl(
+    f"https://gmgn.ai/sol/token/{ser['token_address']}" , "gmgn" ), axis=1)
+
+    merged_df["defined"] = merged_df.apply(lambda ser: makeurl(
+     f"https://www.defined.fi/sol/{ser['token_address']}" , "defined" ), axis=1)
+    
+    merged_df["beizhu"] = None
+    merged_df["lasheng_time"] =None
+    merged_df=merged_df[['token_address', 'trader_number',  'min_block_time','max_block_time' , 
+     'create_time','lasheng_time',	'gmgn',	'defined'	,'beizhu' ]]
+
+ 
+
+    merged_df.to_excel(f'002_dune_buy_sametoken_{int(time.time())}.xlsx', index=False)
+    return
+ 
+    
+
+if __name__ == "__main__":
+ 
+ 
+    arr_file = os.listdir(os.getcwd())
+  
+    arr_file = [file for file in arr_file if "dune_buy_sametoken_" in file and file.endswith(".csv")]
+ 
+    arr_file.sort()
+    print("read file: ",arr_file)
+    
+    handle_df_fun()
+ 
+    

src/library/analysis_token/3DRnsQ5GA2XKk8WJ3yB46KbcRWGtA3E6cgFaqzJWpump/003_handle_dune_buy_sametoken_time_diff.py

@@ -0,0 +1,55 @@
+
+# 获取每一个时间段的top20 持仓，汇总到一个excel表格中
+import pandas as pd
+import sys
+import os
+import time
+
+arr_file = []
+merged_df = None
+def makeurl( url,url_show):
+    return '=HYPERLINK("{}","{}")'.format(url,  url_show)
+def handle_df_fun():
+    
+    global arr_file , merged_df 
+    for index, file in enumerate(arr_file):
+        cur_df =   pd.read_csv(file )
+    
+        if index==0 :
+            merged_df = cur_df
+            continue
+    merged_df["early_trader_number"] =   (merged_df['buy_create_time_diff'] < 45).groupby(merged_df['token_address']).transform('sum')
+    
+    
+
+ 
+    
+    merged_df["gmgn"] = merged_df.apply(lambda ser: makeurl(
+    f"https://gmgn.ai/sol/token/{ser['token_address']}?tab=activity&maker={ser['trader_id']}" , "gmgn" ), axis=1)
+    merged_df["defined"] = merged_df.apply(lambda ser: makeurl(
+     f"https://www.defined.fi/sol/{ser['token_address']}?maker={ser['trader_id']}" , "defined" ), axis=1)
+    
+    merged_df["beizhu"] = None
+    merged_df =  merged_df.sort_values(by=['early_trader_number','token_address'], ascending=[False, True])
+ 
+ 
+ 
+
+    merged_df.to_excel(f'003_dune_sametoken_time_diff_{int(time.time())}.xlsx', index=False)
+    return
+ 
+    
+
+if __name__ == "__main__":
+ 
+ 
+    arr_file = os.listdir(os.getcwd())
+  
+    arr_file = [file for file in arr_file if "dune_sametoken_time_diff" in file and file.endswith(".csv")]
+ 
+    arr_file.sort()
+    print("read file: ",arr_file)
+    
+    handle_df_fun()
+ 
+    

src/library/analysis_token/3DRnsQ5GA2XKk8WJ3yB46KbcRWGtA3E6cgFaqzJWpump/dune_buy_sametoken_xx_0301_0318.csv

@@ -0,0 +1,51 @@
+token_address,min_block_time,max_block_time,trader_number,create_time
+3DRnsQ5GA2XKk8WJ3yB46KbcRWGtA3E6cgFaqzJWpump,2025-03-14 17:34,2025-03-16 09:01,24,2024-12-01 06:40
+33rVk1vECnrzkpjPwgPc32SdCJCGRrA88CAbFhtZpump,2025-03-12 22:05,2025-03-12 23:32,8,2025-03-12 22:00
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+hV7MQkCpjvuTTnPJXPhPXzvmtMxk8A8ct1KPiRMpump,2025-03-14 18:57,2025-03-14 20:54,7,2025-03-14 18:40
+6zipf14FCZusfwF8FeyUP851XytF5T55oLdgARE5qyKK,2025-03-02 17:26,2025-03-14 20:42,6,
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+HsgqRBfqaSWrjJWP4TGeApTknUGuezs928fDUdaLpump,2025-03-03 23:23,2025-03-05 02:01,6,2025-03-03 22:56
+HmRX6pvbGAj7XZo9NDYTfXxLeXqNidqQ393yYUK1pump,2025-03-12 23:07,2025-03-12 23:20,6,2025-03-12 22:51
+7dCcxKMTZUv9uqDnr9pig5ur4x5q3JawbQepug34pump,2025-03-13 02:15,2025-03-13 05:40,6,2025-03-13 01:29
+J8rZcqDBXWCtmz9C4qhdfiRA5ZQQjasa5aeghbnxpump,2025-03-06 21:17,2025-03-16 04:02,6,2025-03-06 20:45
+2WLd1HqbPutTh1gowWFzkgGG9PgzVcnvqUs4iNXopump,2025-03-04 17:41,2025-03-16 17:31,6,2025-03-04 04:30
+9zeStqRxC8TfJE71hbTkQV4xBSHc5LFnTUa54K9sGE1i,2025-03-06 21:45,2025-03-06 22:37,5,2024-04-13 21:59
+4BUkXDRfBdRxiiRntwYTNLiJEHhUSFkSaAWDx42Spump,2025-03-15 19:05,2025-03-15 21:45,5,2025-03-12 15:24
+Fdqm6UuoyJeD4jcwZXoiwBQBvoH48XhHYz9hitAQpump,2025-03-13 22:01,2025-03-13 22:05,5,2025-03-13 21:52
+3HtkKV7RV77nHH8CJbw3SDfPrSf5MQCzhWLqaWthpump,2025-03-13 23:55,2025-03-14 00:18,5,2025-03-13 04:06
+9LTnCiXxqZm29PpeQpzAAHadgWiPBkxESJqUKPSvpump,2025-03-12 00:45,2025-03-14 07:12,5,2025-03-12 00:35
+8TcALAM4U7MMnuRiqMBf8pEsdnt94uknpg2jepEgpump,2025-03-09 17:22,2025-03-12 02:55,5,2025-03-09 12:48
+AhJ2u3o7CK4sPk9WQ2rr8FwG1xSTBMMqkjXZbeqapump,2025-03-13 21:25,2025-03-14 15:32,5,2025-03-13 21:20
+4QYaccriCgnrb3rxpibqv5vj7Wba669YBqvNEVeJpump,2025-03-12 16:47,2025-03-12 20:17,5,2025-03-12 15:42
+BhwwEnvzsEdncGWdDZv2airsw1HZVbRBBGfYhgZfpump,2025-03-04 02:21,2025-03-16 05:29,5,2025-03-04 01:20
+8eq6uKMYtJ2npJC2YGj2LCZ5xKZFX3TuB2LTXB9Epump,2025-03-14 23:54,2025-03-17 18:48,5,2025-03-14 23:18
+B92orCCYZ3J5kBzPDNRP9Sj1oC9cx2X289Myateopump,2025-03-13 17:30,2025-03-13 17:38,5,2025-03-13 17:26
+71398RtzDXyhzzMBCkHLG6jFvRWhye7Awu3y4rp5pump,2025-03-01 22:50,2025-03-01 23:23,5,2025-03-01 22:18
+Ey4tXRVTiLtjZJE33T96KYxJ8TDdVyV7uDn6FuDCpump,2025-03-13 14:27,2025-03-15 18:01,5,2025-03-13 13:48
+8gh5DzFgdviQ5hKWG4NGkb6G4eAhRVPerFMJxZY4pump,2025-03-16 16:58,2025-03-16 19:49,5,2025-03-16 15:50
+HxQVaDCJT5HnRMSE8dFv8sDGdLQ5RSASrccYdBaDpump,2025-03-09 23:02,2025-03-10 00:26,5,2025-03-09 21:07
+CKCwS3gq4DHpvAD5FYCZq6qsZjaTv9mp67kYh4Vbpump,2025-03-16 19:09,2025-03-16 21:41,5,2025-03-16 07:46
+G8VxZiVvkpbjcvcxMm1btLHjJrdfz9CdqXy44tM9pump,2025-02-28 17:01,2025-02-28 20:38,5,2025-02-28 16:51
+8hfy8fXp6JyA2eT53S5iDnSPYSarZ1JSMMY8Qa2ECf7i,2025-03-01 21:10,2025-03-02 15:44,4,2025-02-20 20:50
+CzRSZzAiQTT1KREzEBaqbLrGPn1sqtnh9q4SzTLvpump,2025-03-14 22:48,2025-03-14 23:32,4,2025-03-14 22:04
+71T9kxiHFEpuXUoqhyJMwLEFLu13eR5tSC68F7H5pump,2025-03-14 17:53,2025-03-14 17:54,4,2025-03-14 14:54
+JB6Sw18J45fY7qjxSxWS8ZhEv9Ss5VdttFWMKXYepump,2025-03-17 01:09,2025-03-17 18:55,4,2025-03-17 00:48
+2vh6AcWZkkB3QmKrph8EFq8Uf84aRw5xMxj8Hbkcpump,2025-03-15 17:46,2025-03-15 20:17,4,2025-03-15 09:33
+GFqPDGeY93Wj1Azz4F7GapZAQ2VjxpCUcDputEGVpump,2025-03-16 04:05,2025-03-16 04:16,4,2025-03-16 02:01
+2whk1mdgozfgh8v5G2KS22UVdE8NS3JiaGcXz6Pepump,2025-03-14 02:48,2025-03-18 02:15,4,2025-03-10 21:41
+4wSzLh81HBYQQWdDzYT1XH4Cx8DuYK6yALm9Venwpump,2025-03-15 19:16,2025-03-15 19:18,4,2025-03-15 17:35
+CniPCE4b3s8gSUPhUiyMjXnytrEqUrMfSsnbBjLCpump,2025-03-02 21:21,2025-03-03 02:43,4,2025-03-02 21:00
+DbK8vXJiPAwX3bUu1Gak4whxDQWwDUmYXC9ci3i8pump,2025-03-16 19:41,2025-03-16 20:33,4,2025-03-16 19:32
+8DexFPuhZUdbndUNVhqjVF18yiXQwqj4PT6zj2hppump,2025-03-14 15:17,2025-03-14 15:23,4,2025-03-14 15:08
+GssbxQ17KGAqasQokQU2d5dLtSBQw4G6XH8kH1bCQ97o,2025-03-15 00:28,2025-03-15 00:32,4,2025-03-14 21:52
+4ARC2Wd9UUiofyjfBKiRDq8Sx7RLyq11Ack37cDwj3nz,2025-03-03 15:59,2025-03-03 18:12,4,2024-05-14 12:54
+5Tqsz4teQXFs1KzQJtwgZPvHsNG33KZDA5VxdAaRpump,2025-03-09 23:15,2025-03-09 23:23,4,2025-03-09 23:08
+9y9x4gvTvFGUhezyq4uZJ73qK6b6y51ekPm3CHsvpump,2025-03-15 02:35,2025-03-15 03:20,4,2025-03-15 01:30
+Sg7oxJTtTvUnLkAZW43rX8E4MgP994Vm6fiDxh7pump,2025-03-16 16:39,2025-03-17 01:52,4,2025-03-16 05:46
+GkDFCLv6y2YqA5ib4RDvF3oR1MTJkFGqyGE7P6Srpump,2025-03-13 05:46,2025-03-13 06:51,4,2025-03-13 05:41
+3eQkxLMYT6M5QUfLxt7Gec6hZUskmtwU2jiwH3vzpump,2025-03-06 07:14,2025-03-07 13:40,4,2025-03-06 07:12
+FXhBvPQSSoK5yiGjuQREZZ8oZWenGW9aEicr1VBzpump,2025-03-03 21:35,2025-03-09 02:15,4,2025-03-03 18:48
+7v5Gdj66wFH5bpAKjCF12B3x194W9VohSomdh8fZpump,2025-03-12 22:13,2025-03-12 22:47,4,2025-03-12 22:09
+ERXtc7dBXRBwkWRxqC6f8bn9Wm2EzhkzQCMokutcpump,2025-03-11 22:05,2025-03-11 22:30,4,2025-03-11 18:37

src/library/analysis_token/3DRnsQ5GA2XKk8WJ3yB46KbcRWGtA3E6cgFaqzJWpump/dune_holders_xx_00_0316日0200.csv

@@ -0,0 +1,51 @@
+holder_owner,domains_owned,amount_M,pct_supply
+5Q544fKrFoe6tsEbD7S8EmxGTJYAKtTVhAW5Q5pge4j1,usedsaga.sol,232.65,23.27
+5ENKzVezTxEYtZzF1W4mM1s3LjU6b2oBw8af2827ULKb,,29.99,3
+5FSt9LxycNWfdXFmhuDbYonoGcnBJDjZYvqC3ZuA9RGc,,26.3,2.63
+UKCC5vtp2U5281ZSaSqafDbb9aFcrj84BKsf6p5Aqxm,,25.05,2.51
+SGd7pJkt1heW4pTWLBHVtMoqaN1Anvvbb5wp5Juktrb,,24.78,2.48
+81XZEmB4eYXqdXktnZRVDaiyFbp6hATgygjK98QSbtXq,,24.43,2.44
+2oViQCbm1JWWwvvKeq2zsAns1cT48WDTk77aS7ZAPnjJ,,23.19,2.32
+EW5o2Nr2oHdr8YbWfdAFkcpxT2bqvi2jdDpaTepvoQNa,,22.26,2.23
+EWpftEEZJ7AJyGJprctqc131qQtpjWkoJahM1D9xdTiH,,21.8,2.18
+CJT24gYwv6Sadbj6jUb6ESnm6jYYZdBEzZoeH84C35tq,,20.77,2.08
+6frSrTT9aarJuBWKE36uBQJDh3VcSHWeP7Hdhar9ap7g,,17.76,1.78
+ALNngQwBnooVP41YWGM6yJZSLHTQ3eVZMaAKc9yigWTj,,16.41,1.64
+CMGdz9VBDDmc5uoZFxux4Jv1gYxoUW1Xdu8NxfijCTxJ,,15.82,1.58
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+5BkT4TNnJE7Zq2s3DmGExGSjL7JpJBnxa6atsjARbkxS,,15.79,1.58
+ArHmZWQxH3j29X7nw6xzeFnLrYdywnEKz3oE2zpwXHtd,,15.51,1.55
+9wYuJBuoBiNDxk97ZmCqdaBjB3gZ1iFnEBU2Jme3phpV,,14.9,1.49
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+71CvcuAphXjiDDdGYJe3iiBajgtm62H9F8bo1kNoLWPP,fist.sol,13.05,1.31
+J3ctoNuCEGXD63rf84GfgkXYczt7F6uycpVczzK57MfH,,12.38,1.24
+AAPurShNpJL5cXdaSTiW4HtPY6qVuHuypNFhoCf5oRYK,,11.96,1.2
+CEVzt13CUkFZyFbu9YBZq53qnVUrrJECUGYD2T4mJ5jU,b1gdaddy.sol,10.48,1.05
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+8DJv8nUnxfWMKLNpLpH6QjhCd3tNotNRX6LZ8xGfw7pK,,8.95,0.89
+D3TRbn1Yi3RyoDF4iwmNCjS4DyaejdTeSqwUqrV3ELN3,,8.33,0.83
+2j2sBWG2eoSMzoADa4jM8rkS8kPjR9jU1Hs69KvneQYr,,8.28,0.83
+2C28BHPgxHbDfZ4XnzzXJBUt4AfjB2Dwx1Y9aUGVpwza,,7.65,0.77
+34Cj6nvpBmSHF23uG472f6PVXTT1ukxKvQZDDtmLMRaW,,7.62,0.76
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+2XyQF5q5EWdaGCH8ZfLjiVpvbpLXz8D78T9MzUpNEGBL,,6.67,0.67
+3oc5RoZWaW2DPu3jp4gWpi8cVf1azXrCbyrFqcfckXmi,,6.28,0.63
+Gw99ezhrimhChNkkpQ7uQPohgZZwzZXcUfXw5oJ2wcaV,,5.93,0.59
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+HQNAz1WazeywXTtvGJjmpjQ6GNXVs8pMprWAAyqoMiFj,,5.37,0.54
+3GzBLpxTWWTPWwBYQ8Jgrz5XLUCg9aY6HiB3GEBUBAv6,,5.35,0.53
+DMryAaWZCT2nbRA7AbVTVFtvtmWDEJYgkWi4wFbXNbKj,,5.03,0.5
+GxEpa8w8rGT4BbtkWtSHkUdxtTwkm4uqXa16LV3LRu1a,,4.85,0.49
+9PVBMYGwR9Duy6iABhTKcMyiqmbxZdWoHrmmKNgw7FD9,,4.81,0.48
+5yrZEA7KxXvrrZvfGYvNqo2gBLq3co1wzCMPJz5mdsSf,,4.46,0.45
+J3HgVtWNTAH84ZRHW1iVYjhUJtSSF8d68Emj7meyJ6iX,,4.2,0.42

src/library/analysis_token/3DRnsQ5GA2XKk8WJ3yB46KbcRWGtA3E6cgFaqzJWpump/dune_holders_xx_00_0317日0000.csv

@@ -0,0 +1,51 @@
+holder_owner,domains_owned,amount_M,pct_supply
+5Q544fKrFoe6tsEbD7S8EmxGTJYAKtTVhAW5Q5pge4j1,usedsaga.sol,87.76,8.78
+J3ctoNuCEGXD63rf84GfgkXYczt7F6uycpVczzK57MfH,,27.29,2.73
+64U9MukooWV5ziNXx2PCmZNmktBzQoKXnKsDBLvgCQ5g,rawdogging.sol,24.49,2.45
+81XZEmB4eYXqdXktnZRVDaiyFbp6hATgygjK98QSbtXq,,23.7,2.37
+UKCC5vtp2U5281ZSaSqafDbb9aFcrj84BKsf6p5Aqxm,,23.22,2.32
+2oViQCbm1JWWwvvKeq2zsAns1cT48WDTk77aS7ZAPnjJ,,23.19,2.32
+5FSt9LxycNWfdXFmhuDbYonoGcnBJDjZYvqC3ZuA9RGc,,22.61,2.26
+EW5o2Nr2oHdr8YbWfdAFkcpxT2bqvi2jdDpaTepvoQNa,,22.26,2.23
+EWpftEEZJ7AJyGJprctqc131qQtpjWkoJahM1D9xdTiH,,21.8,2.18
+SGd7pJkt1heW4pTWLBHVtMoqaN1Anvvbb5wp5Juktrb,,21.48,2.15
+215nhcAHjQQGgwpQSJQ7zR26etbjjtVdW74NLzwEgQjP,globalist.sol,21.02,2.1
+HUzZ1MrEUXrdPJoAnn5B8uTcshwyyXxFW1EqY2dvcVhe,,20.33,2.03
+CJT24gYwv6Sadbj6jUb6ESnm6jYYZdBEzZoeH84C35tq,,18.91,1.89
+5RANC5iQzzeLFcr1D42Pih4ksUMfa7KXMoCkzoRhujuP,,18.74,1.87
+5ENKzVezTxEYtZzF1W4mM1s3LjU6b2oBw8af2827ULKb,,17.41,1.74
+9wYuJBuoBiNDxk97ZmCqdaBjB3gZ1iFnEBU2Jme3phpV,,16.27,1.63
+8jzB2HEK322ntFCfzUwajUt9hjYA25L9F8LangTcPfMY,,15,1.5
+5sEVaCVRRyfWPhw54c4z3h59ZvJ9tL5xK2tYfT4gQnDZ,,14.3,1.43
+A2U5owsnFK2jzgBguZCDqXsPzra7ufpYG5N6CFCeQrk6,,13.64,1.36
+DZm7P5hZBLFKzFqy4JzQaxUnWRkrr3AwDMa2kCrGr4Nc,,13.3,1.33
+6frSrTT9aarJuBWKE36uBQJDh3VcSHWeP7Hdhar9ap7g,,11.1,1.11
+2swb9pJ9Ak5TLBsfsBcr5QVCStM5vNZAcyhRY9uZTSi5,,11.07,1.11
+FKvc9tkFjaCxGHFf9KTQ9obAnkv2utAbuHw55j31vQvW,,10.53,1.05
+CEVzt13CUkFZyFbu9YBZq53qnVUrrJECUGYD2T4mJ5jU,b1gdaddy.sol,10.48,1.05
+7oAJ7pSiDZ5Rc2Rki2Pa2TKC3P5X7zhF1zvMsGXT37E2,,10.14,1.01
+UdkxMCjJGnXEzMDhTyqCPard2h3eAbpaekrJC5DJLBx,,10,1
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src/library/analysis_token/3DRnsQ5GA2XKk8WJ3yB46KbcRWGtA3E6cgFaqzJWpump/dune_sametoken_time_diff.csv

@@ -0,0 +1,131 @@
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src/library/analysis_token/exclude_add.csv

@@ -0,0 +1,34 @@
+ex_add,info
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src/library/analysis_token/jLkPtLCKP6hrRxftWvtycTNX22ijbAqmayUuiZ9pump/001_01_merge_dune_hold_info_from_manydunecsv_to_一个多列的xlsx文档.py

@@ -0,0 +1,70 @@
+
+# 将special add 在不同时间持仓的csv合并为一个excel
+import pandas as pd
+import sys
+
+
+arr_file = []
+merged_df = None
+domains_df= None
+
+
+def makeurl( url,url_show):
+    return '=HYPERLINK("{}","{}")'.format(url,  url_show)
+
+def merge_df_fun():
+    arr_date_range =[]
+    arr_col_pct=[]
+    
+    global arr_file , merged_df , domains_df,token_add
+    for index, file in enumerate(arr_file):
+        date_range = file.replace(".csv","").split("_")
+        date_range = date_range[-2]+"_"+date_range[-1]
+
+        cur_df =   pd.read_csv(file ,dtype=object)
+        cur_df=cur_df.dropna(subset=['holder_owner'])
+
+        cur_domains_df = cur_df[['holder_owner' , 'domains_owned']]
+        domains_df = pd.concat([domains_df, cur_domains_df  ]).dropna().drop_duplicates(subset=['holder_owner'])
+         
+        cur_df=cur_df[['holder_owner','amount_M']]
+        cur_df =cur_df.astype({
+            "amount_M":float,
+        })
+
+        cur_df.rename(columns={'amount_M': f'AM_{date_range}'}, inplace=True)
+        arr_date_range.append(f'{date_range}')
+        arr_col_pct.append(f'AM_{date_range}')
+        if index==0 :
+            merged_df = cur_df
+            continue
+        merged_df = pd.merge(merged_df, cur_df, on='holder_owner', how='outer')
+  
+    
+    # merged_df=merged_df.fillna(-1)
+    merged_df = pd.merge(merged_df, domains_df, on='holder_owner', how='left')
+
+    merged_df["gmgn"] = merged_df.apply(lambda ser: makeurl(
+    f"https://gmgn.ai/sol/token/{token_add}?tab=activity&maker={ser['holder_owner']}" , "gmgn" ), axis=1)
+
+    merged_df["defined"] = merged_df.apply(lambda ser: makeurl(
+     f"https://www.defined.fi/sol/{token_add}?maker={ser['holder_owner']}" , "defined" ), axis=1)
+    
+  
+    merged_df.to_excel('001_01_merge_dune_hold_info_from_manydunecsv_to_一个多列的xlsx文档.xlsx' ,index=False)
+
+ 
+ 
+if __name__ == "__main__":
+ 
+    if len(sys.argv)<3:
+        print("args queshao ")
+        sys.exit(1)
+    token_add = sys.argv[1]
+    arr_file =sys.argv[2:]
+    arr_file = [file for file in arr_file if "dune_holders_xx" in file and file.endswith(".csv")]
+ 
+    arr_file.sort()
+    print("read file: ",arr_file)
+    merge_df_fun()
+ 

src/library/analysis_token/jLkPtLCKP6hrRxftWvtycTNX22ijbAqmayUuiZ9pump/001_merge_top20_holders_add.py

@@ -0,0 +1,77 @@
+
+# 获取每一个时间段的top20 持仓，汇总到一个excel表格中
+import pandas as pd
+import sys
+import os
+ 
+
+arr_file = []
+merged_df = None
+
+def map_exclude_df(df1,ex_df):
+  
+    
+    ex_df.rename(columns={'ex_add': 'holder_owner', 'info': 'domains_owned'}, inplace=True)
+
+    # 使用merge创建一个临时DataFrame，只包含匹配的行
+    temp_df = df1[['holder_owner']].merge(ex_df, on='holder_owner', how='left')
+    
+    # 更新df1的'b1'列
+    df1.set_index('holder_owner', inplace=True)
+    temp_df.set_index('holder_owner', inplace=True)
+    df1.update(temp_df)
+
+    # 重置索引
+    df1.reset_index(inplace=True)
+
+    return df1
+
+def merge_df_fun():
+ 
+    
+    global arr_file , merged_df , domains_df,token_add
+    for index, file in enumerate(arr_file):
+               
+        cur_df =   pd.read_csv(file ,dtype=object)
+        cur_df=cur_df.dropna(subset=['holder_owner'])
+
+        cur_df =cur_df.astype({
+            "amount_M":float,
+        })
+
+
+        cur_df=cur_df.sort_values(by=['amount_M'],ascending = False)
+        cur_df =cur_df.head(22)
+        cur_df=cur_df[['holder_owner','domains_owned']]
+
+
+        if index==0 :
+            merged_df = cur_df
+            continue
+        merged_df = pd.concat([merged_df, cur_df])
+  
+    
+    merged_df =merged_df.drop_duplicates(subset=['holder_owner'])
+
+    ex_df = pd.read_csv('exclude_add.csv',dtype=object)
+    merged_df=map_exclude_df(merged_df ,ex_df)
+
+    
+    merged_df.to_excel('001_top20_holders.xlsx', index=False)
+
+ 
+    
+
+if __name__ == "__main__":
+ 
+ 
+    arr_file = os.listdir(os.getcwd())
+  
+    arr_file = [file for file in arr_file if    file.startswith("dune_holders_xx") and file.endswith(".csv")]
+ 
+    arr_file.sort()
+    print("read file: ",arr_file)
+    
+    merge_df_fun()
+ 
+    

src/library/analysis_token/jLkPtLCKP6hrRxftWvtycTNX22ijbAqmayUuiZ9pump/002_handle_dune_buy_sametoken.py

@@ -0,0 +1,55 @@
+
+# 获取每一个时间段的top20 持仓，汇总到一个excel表格中
+import pandas as pd
+import sys
+import os
+import time
+
+arr_file = []
+merged_df = None
+def makeurl( url,url_show):
+    return '=HYPERLINK("{}","{}")'.format(url,  url_show)
+def handle_df_fun():
+    
+    global arr_file , merged_df 
+    for index, file in enumerate(arr_file):
+        cur_df =   pd.read_csv(file )
+        cur_df =cur_df.astype({
+            "trader_number":int,
+        })
+
+        if index==0 :
+            merged_df = cur_df
+            continue
+
+    merged_df["gmgn"] = merged_df.apply(lambda ser: makeurl(
+    f"https://gmgn.ai/sol/token/{ser['token_address']}" , "gmgn" ), axis=1)
+
+    merged_df["defined"] = merged_df.apply(lambda ser: makeurl(
+     f"https://www.defined.fi/sol/{ser['token_address']}" , "defined" ), axis=1)
+    
+    merged_df["beizhu"] = None
+    merged_df["lasheng_time"] =None
+    merged_df=merged_df[['token_address', 'trader_number',  'min_block_time', 'time_diff',
+     'create_time','lasheng_time',	'gmgn',	'defined'	,'beizhu' ]]
+
+ 
+
+    merged_df.to_excel(f'002_dune_buy_sametoken_{int(time.time())}.xlsx', index=False)
+    return
+ 
+    
+
+if __name__ == "__main__":
+ 
+ 
+    arr_file = os.listdir(os.getcwd())
+  
+    arr_file = [file for file in arr_file if   file.startswith("dune_buy_sametoken_")  and file.endswith(".csv")]
+ 
+    arr_file.sort()
+    print("read file: ",arr_file)
+    
+    handle_df_fun()
+ 
+    

src/library/analysis_token/jLkPtLCKP6hrRxftWvtycTNX22ijbAqmayUuiZ9pump/003_handle_dune_buy_sametoken_time_diff.py

@@ -0,0 +1,55 @@
+
+# 获取每一个时间段的top20 持仓，汇总到一个excel表格中
+import pandas as pd
+import sys
+import os
+import time
+
+arr_file = []
+merged_df = None
+def makeurl( url,url_show):
+    return '=HYPERLINK("{}","{}")'.format(url,  url_show)
+def handle_df_fun():
+    
+    global arr_file , merged_df 
+    for index, file in enumerate(arr_file):
+        cur_df =   pd.read_csv(file )
+    
+        if index==0 :
+            merged_df = cur_df
+            continue
+    merged_df["early_trader_number"] =   (merged_df['buy_create_time_diff'] < 45).groupby(merged_df['token_address']).transform('sum')
+    
+    
+
+ 
+    
+    merged_df["gmgn"] = merged_df.apply(lambda ser: makeurl(
+    f"https://gmgn.ai/sol/token/{ser['token_address']}?tab=activity&maker={ser['trader_id']}" , "gmgn" ), axis=1)
+    merged_df["defined"] = merged_df.apply(lambda ser: makeurl(
+     f"https://www.defined.fi/sol/{ser['token_address']}?maker={ser['trader_id']}" , "defined" ), axis=1)
+    
+    merged_df["beizhu"] = None
+    merged_df =  merged_df.sort_values(by=['early_trader_number','token_address' , 'buy_create_time_diff'], ascending=[False, True , False])
+ 
+ 
+ 
+
+    merged_df.to_excel(f'003_dune_sametoken_time_diff_{int(time.time())}.xlsx', index=False)
+    return
+ 
+    
+
+if __name__ == "__main__":
+ 
+ 
+    arr_file = os.listdir(os.getcwd())
+  
+    arr_file = [file for file in arr_file if "dune_sametoken_time_diff" in file and file.endswith(".csv")]
+ 
+    arr_file.sort()
+    print("read file: ",arr_file)
+    
+    handle_df_fun()
+ 
+    

src/library/analysis_token/jLkPtLCKP6hrRxftWvtycTNX22ijbAqmayUuiZ9pump/dune_buy_sametoken_xx_xx_xx.csv

@@ -0,0 +1,43 @@
+token_address,min_block_time,trader_number,create_time,time_diff
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+HKHJGyCixL2gQjLUxbUWr83wF5BsNwJANjL1Axnppump,2025-03-16 21:07,7,2025-03-16 21:04,2.3
+6Wtk3sg8jdwdUGJCizeQCqjxk5zzr1QSVqKVq64Jpump,2025-03-19 01:10,7,2025-03-19 01:10,0.4
+DasQSkvurva6NSotsacRs6BynBqVBtXNQxe56iTspump,2025-03-16 22:17,7,2025-03-16 22:17,0.53

src/library/analysis_token/jLkPtLCKP6hrRxftWvtycTNX22ijbAqmayUuiZ9pump/dune_holders_xx_xx_0316日0330.csv

@@ -0,0 +1,24 @@
+holder_owner,domains_owned,amount_M,pct_supply
+C4jzBQuNYYRARk76ptxizkwvMt73cKRnPYisf3MDpF8B,,88,8.8
+7GpiTzud8oKFMWGXAaAHRmRUt7WBFGS8Sb1Tcjd9ZPU5,,36.52,3.65
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+6APr4VVvjgaiXjLVErLn7o6nVDeCpazC67r63XjZf24a,,9.14,0.91

src/library/analysis_token/jLkPtLCKP6hrRxftWvtycTNX22ijbAqmayUuiZ9pump/dune_holders_xx_xx_0316日2200.csv

@@ -0,0 +1,50 @@
+holder_owner,domains_owned,amount_M,pct_supply
+5Q544fKrFoe6tsEbD7S8EmxGTJYAKtTVhAW5Q5pge4j1,bonklanatoken.sol,179.82,17.98
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src/library/analysis_token/jLkPtLCKP6hrRxftWvtycTNX22ijbAqmayUuiZ9pump/dune_sametoken_time_diffxx_xx_xx.csv

@@ -0,0 +1,45 @@
+token_address,trader_id,buy_create_time_diff,create_time,trader_number
+BSubUBTHxECeAYUsAs9FmjbuECvMBfuvs1PA8EkKpump,282Si2J6j5MPnLbHxzrGDAYnTw5Gu4SnKMSt4EaVsecD,380.23,2025-03-17 13:53,6
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+BSubUBTHxECeAYUsAs9FmjbuECvMBfuvs1PA8EkKpump,HnHFgT8xuPSREMwLkWv8nRpSni3fuizwxx4tkAeZU7zY,801.62,2025-03-17 13:53,6
+BSubUBTHxECeAYUsAs9FmjbuECvMBfuvs1PA8EkKpump,3zvBEUmTUaNvgEBxpRrUCJvL1Cc1fokSLCZpcrFgYfSh,342.82,2025-03-17 13:53,6
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+5h45oWo4TwXxXNXzHzYuU6TA7zrDjgtFCQf64hRncBRU,EyqRQFWYNg1PbkHNpvewPrrU6YSKFVj4d1DfHesxVFcq,226175.87,2024-10-08 17:03,11
+5h45oWo4TwXxXNXzHzYuU6TA7zrDjgtFCQf64hRncBRU,BZ7nYnXq269QqvUzRwGppSRcnYjAy1bgLSRMvuLthZ2i,226199.48,2024-10-08 17:03,11
+5h45oWo4TwXxXNXzHzYuU6TA7zrDjgtFCQf64hRncBRU,14DgH6mZtoNqACCvsNzj3pP7Lu1LiK8WaakREPbmnqjR,226176.75,2024-10-08 17:03,11
+5h45oWo4TwXxXNXzHzYuU6TA7zrDjgtFCQf64hRncBRU,EZZk361QgZDMx52AmMyc4NjFkuaNrdegwAxrLEbeaR94,226168.7,2024-10-08 17:03,11
+5h45oWo4TwXxXNXzHzYuU6TA7zrDjgtFCQf64hRncBRU,2RnkZm1yj8i9Vx8tAG9Dh35NC6NV6mp6fuuPbn5n8riV,226182.32,2024-10-08 17:03,11
+2yFiCwdLiUfxq9PcNXQvu16QdgBFniCJP8P8gEXNpump,EZZk361QgZDMx52AmMyc4NjFkuaNrdegwAxrLEbeaR94,9.73,2025-03-11 20:52,8
+2yFiCwdLiUfxq9PcNXQvu16QdgBFniCJP8P8gEXNpump,2RnkZm1yj8i9Vx8tAG9Dh35NC6NV6mp6fuuPbn5n8riV,20.35,2025-03-11 20:52,8
+2yFiCwdLiUfxq9PcNXQvu16QdgBFniCJP8P8gEXNpump,14DgH6mZtoNqACCvsNzj3pP7Lu1LiK8WaakREPbmnqjR,177.07,2025-03-11 20:52,8
+2yFiCwdLiUfxq9PcNXQvu16QdgBFniCJP8P8gEXNpump,Eq8YwZ9iwpdWAeS4bWZVvfEbtLMJvdWETwDdTPNsqrm3,119.2,2025-03-11 20:52,8
+2yFiCwdLiUfxq9PcNXQvu16QdgBFniCJP8P8gEXNpump,Ct8LEHd4tb3hDrjuoLVibZEdZgxDsKHJ9kUAYeoBC8B,129.17,2025-03-11 20:52,8
+2yFiCwdLiUfxq9PcNXQvu16QdgBFniCJP8P8gEXNpump,EyqRQFWYNg1PbkHNpvewPrrU6YSKFVj4d1DfHesxVFcq,138.97,2025-03-11 20:52,8
+2yFiCwdLiUfxq9PcNXQvu16QdgBFniCJP8P8gEXNpump,282Si2J6j5MPnLbHxzrGDAYnTw5Gu4SnKMSt4EaVsecD,212.9,2025-03-11 20:52,8
+2yFiCwdLiUfxq9PcNXQvu16QdgBFniCJP8P8gEXNpump,3zvBEUmTUaNvgEBxpRrUCJvL1Cc1fokSLCZpcrFgYfSh,20.47,2025-03-11 20:52,8
+2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump,14DgH6mZtoNqACCvsNzj3pP7Lu1LiK8WaakREPbmnqjR,42,2025-03-16 21:46,13
+2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump,Ct8LEHd4tb3hDrjuoLVibZEdZgxDsKHJ9kUAYeoBC8B,59.55,2025-03-16 21:46,13
+2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump,9H8wEA9ALybJbRmBxjendamofQJZa4VCW4z4fDo37zA4,40.9,2025-03-16 21:46,13
+2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump,Eq8YwZ9iwpdWAeS4bWZVvfEbtLMJvdWETwDdTPNsqrm3,79.08,2025-03-16 21:46,13
+2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump,7GpiTzud8oKFMWGXAaAHRmRUt7WBFGS8Sb1Tcjd9ZPU5,45.65,2025-03-16 21:46,13
+2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump,HnHFgT8xuPSREMwLkWv8nRpSni3fuizwxx4tkAeZU7zY,123.1,2025-03-16 21:46,13
+2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump,3zvBEUmTUaNvgEBxpRrUCJvL1Cc1fokSLCZpcrFgYfSh,59.67,2025-03-16 21:46,13
+2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump,282Si2J6j5MPnLbHxzrGDAYnTw5Gu4SnKMSt4EaVsecD,51.8,2025-03-16 21:46,13
+2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump,BZ7nYnXq269QqvUzRwGppSRcnYjAy1bgLSRMvuLthZ2i,42.2,2025-03-16 21:46,13
+2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump,EZZk361QgZDMx52AmMyc4NjFkuaNrdegwAxrLEbeaR94,39.55,2025-03-16 21:46,13
+2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump,7BXHBSAY37sXuuKMb58YDVNRiuGGSTaXs2f1T1KPr4kG,51.5,2025-03-16 21:46,13
+2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump,EyqRQFWYNg1PbkHNpvewPrrU6YSKFVj4d1DfHesxVFcq,35.68,2025-03-16 21:46,13
+2ZoJVM15fbbDgo6s5cTTX2Sj8V4sJ47rimb7gQhGpump,2RnkZm1yj8i9Vx8tAG9Dh35NC6NV6mp6fuuPbn5n8riV,59.62,2025-03-16 21:46,13
+VjMa3mzfBgCyKRTQHg8pSuZRKCvKF8zMqVXQMU3pump,Hb11QhxySAo4aGtB85ST3AJE75jVzxd7t1tPw8Kq5QXk,5.22,2025-03-12 03:44,6
+VjMa3mzfBgCyKRTQHg8pSuZRKCvKF8zMqVXQMU3pump,3sJX7iJfjg8xxrHfqbS7NGpEh3uUVeLKvcMifWyxVMFs,479.43,2025-03-12 03:44,6
+VjMa3mzfBgCyKRTQHg8pSuZRKCvKF8zMqVXQMU3pump,EJM2zrEd4uc6662LVVdDN5bH9iDFy2A4mDuhLttMkhby,5.22,2025-03-12 03:44,6
+VjMa3mzfBgCyKRTQHg8pSuZRKCvKF8zMqVXQMU3pump,282Si2J6j5MPnLbHxzrGDAYnTw5Gu4SnKMSt4EaVsecD,2175.58,2025-03-12 03:44,6
+VjMa3mzfBgCyKRTQHg8pSuZRKCvKF8zMqVXQMU3pump,EyqRQFWYNg1PbkHNpvewPrrU6YSKFVj4d1DfHesxVFcq,920.73,2025-03-12 03:44,6
+VjMa3mzfBgCyKRTQHg8pSuZRKCvKF8zMqVXQMU3pump,7BXHBSAY37sXuuKMb58YDVNRiuGGSTaXs2f1T1KPr4kG,917.28,2025-03-12 03:44,6

src/library/analysis_token/jLkPtLCKP6hrRxftWvtycTNX22ijbAqmayUuiZ9pump/exclude_add.csv

@@ -0,0 +1,37 @@
+ex_add,info
+5Q544fKrFoe6tsEbD7S8EmxGTJYAKtTVhAW5Q5pge4j1,Raydium Authority V4
+BQ72nSv9f3PRyRKCBnHLVrerrv37CYTHm5h3s9VSGQDV,Jupiter Aggregator Authority 1
+2MFoS3MPtvyQ4Wh4M9pdfPjz6UhVoNbFbGJAskCPCj3h,Jupiter Aggregator Authority 2
+HU23r7UoZbqTUuh3vA7emAGztFtqwTeVips789vqxxBw,Jupiter Aggregator Authority 3
+3CgvbiM3op4vjrrjH2zcrQUwsqh5veNVRjFCB9N6sRoD,Jupiter Aggregator Authority 4
+6LXutJvKUw8Q5ue2gCgKHQdAN4suWW8awzFVC6XCguFx,Jupiter Aggregator Authority 5
+CapuXNQoDviLvU1PxFiizLgPNQCxrsag1uMeyk6zLVps,Jupiter Aggregator Authority 6
+GGztQqQ6pCPaJQnNpXBgELr5cs3WwDakRbh1iEMzjgSJ,Jupiter Aggregator Authority 7
+9nnLbotNTcUhvbrsA6Mdkx45Sm82G35zo28AqUvjExn8,Jupiter Aggregator Authority 8
+3LoAYHuSd7Gh8d7RTFnhvYtiTiefdZ5ByamU42vkzd76,Jupiter Aggregator Authority 9
+DSN3j1ykL3obAVNv7ZX49VsFCPe4LqzxHnmtLiPwY6xg,Jupiter Aggregator Authority 10
+69yhtoJR4JYPPABZcSNkzuqbaFbwHsCkja1sP1Q2aVT5,Jupiter Aggregator Authority 11
+6U91aKa8pmMxkJwBCfPTmUEfZi6dHe7DcFq2ALvB2tbB,Jupiter Aggregator Authority 12
+7iWnBRRhBCiNXXPhqiGzvvBkKrvFSWqqmxRyu9VyYBxE,Jupiter Aggregator Authority 13
+4xDsmeTWPNjgSVSS1VTfzFq3iHZhp77ffPkAmkZkdu71,Jupiter Aggregator Authority 14
+GP8StUXNYSZjPikyRsvkTbvRV1GBxMErb59cpeCJnDf1,Jupiter Aggregator Authority 15
+HFqp6ErWHY6Uzhj8rFyjYuDya2mXUpYEk8VW75K9PSiY,Jupiter Aggregator Authority 16
+45ruCyfdRkWpRNGEqWzjCiXRHkZs8WXCLQ67Pnpye7Hp,Jupiter Partner Referral Fee Vault
+ZG98FUCjb8mJ824Gbs6RsgVmr1FhXb2oNiJHa2dwmPd,CxvksNjwhdHDLr3qbCXNKVdeYACW8cs93vFqLqtgyFE5s fee account
+DGT9TPRGQwpJeMvDdZJDEaVRZa2ZMXtp16pGZgAgBoLx,pump Bonding Curve
+GE5PnwZTgWw1YqVGno2QPWqie6aLjswNeGFhiF1nDg3k,Raydium 8008-USDC Market
+25mYnjJ2MXHZH6NvTTdA63JvjgRVcuiaj6MRiEQNs1Dq,ZG98FUCjb8mJ824Gbs6RsgVmr1FhXb2oNiJHa2dwmPd
+14qLxu9XDQtc2pgnxX2SSdWPpnuVrEqccgwmATH1khcY,Raydium SOL-8008 Market
+5YET3YapxD6to6rqPqTWB3R9pSbURy6yduuUtoZkzoPX,Jupiter ApePro Keeper
+F5sw1r94VXmUGwesPrcY3TvwSrfVAZmRaWwMtD1tr3Yf,Meteora 8008-SOL Market   
+j1oAbxxiDUWvoHxEDhWE7THLjEkDQW2cSHYn2vttxTF,jupiter limit order taker account
+4KaVawPKmG1RZCv698XD9YzRsJcFPXrEoYnZbdZmfFFq,okx相关
+j1oeQoPeuEDmjvyMwBmCWexzCQup77kbKKxV59CnYbd,jupiter limit order taker account
+6KFVj2czLwNQeE4yBgFau6LHUS72vqgP11Sv1JUNxghz,fee account
+53owRWHqDocPYVtVxAQJSTE7rY6QWyWfDNAnWg5VpF9z,Pump.fun (JIANKUI) Bonding Curve
+H3oWNGDfr5pSPDM3eDYpLiT7WsUiUF8ee8WmepovDAGt,Meteora (JIANKUI-WSOL) Market
+BgYAdyHRjkQ4qaPMyt2SL53MNgfDFF6hiYy7tzwfDrtW,Raydium (WSOL-JIANKUI) Market
+8AcbTJPF2dyvabhjY8oz89SQWZArBeZzLHXnYWYWUzue,Meteora (JIANKUI-WSOL) Market
+53LCtLUHJvNxsf7C9xUFC8TCecV2yAEsZmCuCgnB8LR,Meteora (YAYDOLF-WSOL) Market
+9x13yovdBSLuTRM6RMng6vvaCezBQsL7uhLkGgyLKPhJ,Pump.fun (YAYDOLF) Bonding Curve
+C4cTbb5vL97sgTN2PCPPiUiKVGHw3X6fVdFtGZ9H7wnW,Meteora (YAYDOLF-WSOL) Market

src/library/analysis_token/new_token/df_gmgn_pump_total.csv

@@ -0,0 +1,120 @@
+token_url,token_name,age,mc,holders,save_timestamp
+https://gmgn.ai/sol/token/ERXtc7dBXRBwkWRxqC6f8bn9Wm2EzhkzQCMokutcpump,ANUS,8h,$56.6K,411,1741759864995
+https://gmgn.ai/sol/token/5SuiPfCHBRt5hq5oGpKY27m93ttFufiDW6oGCSoBpump,ETH,6h,$75.6K,268,1741766356320
+https://gmgn.ai/sol/token/QFp94pu1bbUq3o2Qz1PhH8SmZVtRQ9Y2LSxeadYpump,Cocoro,19h,$430.2K,3.5K,1741777178841
+https://gmgn.ai/sol/token/9sic1xNak3e3e1tZqjxnv8FAv2zKpujY6J1MqB84pump,NRA,1d,$50K,420,1741777178841
+https://gmgn.ai/sol/token/9m3nh7YDoF1WSYpNxCjKVU8D1MrXsWRic4HqRaTdcTYB,EIC,9h,$410.4K,1.9K,1741780786948
+https://gmgn.ai/sol/token/4pDf13BTTTmaWgCj99yX3zTbwKzqLD98D7d1QGespump,Tired,14h,$54.9K,358,1741780786948
+https://gmgn.ai/sol/token/7HDrQfWp7gpyWPbnJKYmKAqsAkevZAQayB5wF6zppump,mellow,1d,$117.8K,780,1741780786948
+https://gmgn.ai/sol/token/9gyfbPVwwZx4y1hotNSLcqXCQNpNqqz6ZRvo8yTLpump,YZY,9h,$462.3K,2.5K,1741784394861
+https://gmgn.ai/sol/token/4taJ4B67sp5Tbe5CaizkVVubS39xqaMRA4TCLYZNpump,Capy,18h,$147.5K,1.7K,1741784394861
+https://gmgn.ai/sol/token/LYNhXGVfSuq4swhD9GWD6JFc9eQGub7E4L78P2Jpump,PWESIDENT,11h,$243.3K,1.8K,1741784394861
+https://gmgn.ai/sol/token/Emvh6DahDz2FNqPpPTwVwDwgtzFQkcefeJHeScePpump,GRIMBUS,8h,$176.1K,1K,1741784394861
+https://gmgn.ai/sol/token/HrLmQRKPVd8tCWKzgBgQ681ukPQhxJqM1jmF7fENpump,ASSPAY,1d,$411.5K,1.8K,1741784394861
+https://gmgn.ai/sol/token/9PtcqGC5PDL7QhHPP3eKJb9AmNsbJomKXyKNUBNKpump,Spwing,10h,$128.2K,1.4K,1741784394861
+https://gmgn.ai/sol/token/4yTLZkHtPsuWCdGZy9658RL7YeYqncfnYvtqbmQMpump,Jussy,20h,$113.4K,1K,1741784394861
+https://gmgn.ai/sol/token/6eA1y82s5yikisLHangQW9FmcTVkfYXRRLHwwqYQpump,REAL,6h,$72.8K,853,1741784394861
+https://gmgn.ai/sol/token/DQqMx8M8udyGGJXoQoarJGsawD7adDLAfzjGjCmFpump,POKEMON,12h,$219.4K,16.9K,1741784394861
+https://gmgn.ai/sol/token/HkH7mJK8vYHbbr1mFwiUA94rmKDE8Q5NvQQyxQNnpump,flow,11h,$59.2K,752,1741784394861
+https://gmgn.ai/sol/token/AR2SmDfEbV838SXgDitHmBEdYUTxGCBs8GubSCWfpump,wetard,1d,$51.1K,3.1K,1741784394861
+https://gmgn.ai/sol/token/8Azht4Gmh2ZeHBZDx8p9yfZNzHRe5q2jtvdTpzpapump,meemeecoin,18h,$74.5K,775,1741784394861
+https://gmgn.ai/sol/token/HEV8JPybpUrVTPWm6CvgYinMUxXdVgd3ULqw37DJpump,Tired,18h,$63.1K,582,1741784394861
+https://gmgn.ai/sol/token/8RYnHxcGEYpGRsTtZw3QHTxbq7keDyU2vvb52DXbpump,Aetherion,6h,$266.9K,6.4K,1741784394861
+https://gmgn.ai/sol/token/5SuiPfCHBRt5hq5oGpKY27m93ttFufiDW6oGCSoBpump,ETH,6h,$75.6K,268,1741766356320
+https://gmgn.ai/sol/token/9sic1xNak3e3e1tZqjxnv8FAv2zKpujY6J1MqB84pump,NRA,1d,$50K,420,1741777178841
+https://gmgn.ai/sol/token/9m3nh7YDoF1WSYpNxCjKVU8D1MrXsWRic4HqRaTdcTYB,EIC,9h,$410.4K,1.9K,1741780786948
+https://gmgn.ai/sol/token/7HDrQfWp7gpyWPbnJKYmKAqsAkevZAQayB5wF6zppump,mellow,1d,$117.8K,780,1741780786948
+https://gmgn.ai/sol/token/Emvh6DahDz2FNqPpPTwVwDwgtzFQkcefeJHeScePpump,GRIMBUS,9h,$69.7K,991,1741788002889
+https://gmgn.ai/sol/token/4pDf13BTTTmaWgCj99yX3zTbwKzqLD98D7d1QGespump,Tired,18h,$50.6K,341,1741795219115
+https://gmgn.ai/sol/token/AR2SmDfEbV838SXgDitHmBEdYUTxGCBs8GubSCWfpump,wetard,1d,$63.1K,3.1K,1741795219115
+https://gmgn.ai/sol/token/8Azht4Gmh2ZeHBZDx8p9yfZNzHRe5q2jtvdTpzpapump,meemeecoin,21h,$67.9K,755,1741795219115
+https://gmgn.ai/sol/token/ERXtc7dBXRBwkWRxqC6f8bn9Wm2EzhkzQCMokutcpump,ANUS,18h,$64.2K,392,1741798826941
+https://gmgn.ai/sol/token/8RYnHxcGEYpGRsTtZw3QHTxbq7keDyU2vvb52DXbpump,Aetherion,10h,$223.8K,6.4K,1741798826941
+https://gmgn.ai/sol/token/HEV8JPybpUrVTPWm6CvgYinMUxXdVgd3ULqw37DJpump,Tired,23h,$60.9K,576,1741802434453
+https://gmgn.ai/sol/token/9PtcqGC5PDL7QhHPP3eKJb9AmNsbJomKXyKNUBNKpump,Spwing,19h,$57.1K,1.9K,1741816864486
+https://gmgn.ai/sol/token/HrLmQRKPVd8tCWKzgBgQ681ukPQhxJqM1jmF7fENpump,ASSPAY,1d,$396K,1.9K,1741816864486
+https://gmgn.ai/sol/token/CkaeAWQ4Z6kzNGZrKh8T9WzDTWb3SfpE95SpA2zgpump,WTFAI,10h,$54.4K,605,1741824081422
+https://gmgn.ai/sol/token/f99WsKNYoH6pK5suhGmNwNT1jkgSnSGcQz73y8b55sF,eit,6h,$54.1K,405,1741824081422
+https://gmgn.ai/sol/token/4taJ4B67sp5Tbe5CaizkVVubS39xqaMRA4TCLYZNpump,Capy,1d,$52.2K,1.2K,1741824081422
+https://gmgn.ai/sol/token/9gyfbPVwwZx4y1hotNSLcqXCQNpNqqz6ZRvo8yTLpump,YZY,21h,$210.7K,2.5K,1741827690190
+https://gmgn.ai/sol/token/2Ufj3cieAbm8hcq1QrSZbKjrBPhjB94te61PceCKpump,WIWIWI,7h,$53.5K,765,1741827690190
+https://gmgn.ai/sol/token/BiXTzQxWxywMeXqDQcj92wASvRDrQvVe98wKzA7jpump,GIGAMAS,17h,$67.8K,438,1741831298621
+https://gmgn.ai/sol/token/4QYaccriCgnrb3rxpibqv5vj7Wba669YBqvNEVeJpump,Tesler,9h,$388.5K,2.1K,1741831298621
+https://gmgn.ai/sol/token/6irC3s3wi3Y69D1uD2yC2W1HyR8C97fxW5qGy5dLpump,VACE,13h,$52.6K,1.2K,1741834907334
+https://gmgn.ai/sol/token/HkH7mJK8vYHbbr1mFwiUA94rmKDE8Q5NvQQyxQNnpump,flow,1d,$437.4K,1.9K,1741838515531
+https://gmgn.ai/sol/token/5kY6KBqWL7mdH2dVC7QAgQdtqhN4faL9v9Dv77wPpump,PIPOTAM,10h,$73.9K,1.6K,1741838515531
+https://gmgn.ai/sol/token/HNbfBb1MSySAHA2E7Jd12RCa3Jbb48GQQeXCYbHNysbp,Gemma3,17h,$58.8K,1.6K,1741838515531
+https://gmgn.ai/sol/token/Hf9XGGv66gi3uS56bf1hLaYTS6SfKxi4j6xkEbwTpump,ACCORDS,1d,$60.1K,760,1741838515531
+https://gmgn.ai/sol/token/QFp94pu1bbUq3o2Qz1PhH8SmZVtRQ9Y2LSxeadYpump,Cocoro,1d,$261.1K,3.7K,1741842123643
+https://gmgn.ai/sol/token/2dJHK6esMpziGb8eToE2jXjkvpZi7NiePACkqBHQpump,SWOCKS,9h,$186.8K,1.6K,1741842123643
+https://gmgn.ai/sol/token/2yFiCwdLiUfxq9PcNXQvu16QdgBFniCJP8P8gEXNpump,REBA,1d,$141.6K,2.9K,1741842123643
+https://gmgn.ai/sol/token/97zeziFm8v4RVe7S6sZmAB9Amf6DuuXU9E4irgGspump,kuro,6h,$109.1K,1.7K,1741842123643
+https://gmgn.ai/sol/token/6J7Kt8w2bui3fBtk8bmsnvJfj49Z2VDpphoFaG4Xpump,GOONERS,10h,$118.7K,1.3K,1741842123643
+https://gmgn.ai/sol/token/E1ox78bkxCpxvc18QFHKrHSnomnPw9mu4JLXow2spump,ASKRO,22h,$73.3K,3.6K,1741842123643
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src/library/analysis_token/new_token/dune_holders_xx_00_0316日0200.csv

@@ -0,0 +1,51 @@
+holder_owner,domains_owned,amount_M,pct_supply
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src/library/analysis_token/new_token/dune_holders_xx_00_0317日0000.csv

@@ -0,0 +1,51 @@
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+BncWEKf8S1ej2jVAArDsGjaSs2MU2mtcRoYLQi1X3ita,,8.27,0.83
+J6wqmLDeHz882yak5tTrtXAUddS54Q8cHREPkBCVYMJd,,8.19,0.82
+5V5Gd8eAAocDoNjE86PgzPhzXviLCpRGwWyhbo99dXy6,,8.04,0.8
+3TjNpxBR2GfGMJJvBkRocEY8gaDY7CFq2PTX7hFRM3wm,,7.7,0.77
+2C28BHPgxHbDfZ4XnzzXJBUt4AfjB2Dwx1Y9aUGVpwza,,7.65,0.77
+EAR5NmhWHGeyJSQS2MpHiZ5BdC3mVX6uvrCdrXNqihwJ,,7.42,0.74
+5qNSu6hdVsxKogqj2q6uXwo2u7WSuBs3tw9Do1typuVP,,7.29,0.73
+DMryAaWZCT2nbRA7AbVTVFtvtmWDEJYgkWi4wFbXNbKj,,7.23,0.72
+5bbSSAJ7VkzWPiQKFYL1xbWnSWp6sbTCYjxaFi3mLrZX,,7.09,0.71
+AgRdSy5ZsN6VmPZT4NT3mEA5sZE4toYf75NjcejSrRV4,,6.99,0.7
+3xdY8KPNtcLsCRh6pNk1ef6ECqREu4nos47Hq5MWXAmv,,6.99,0.7
+GnXsEeB9sAtQ7AaUJdF2aBU6tXkoQFYHd515RKqg7q31,,6.84,0.68
+Dx98xMscVpnTMcSovwy6US5gnqb2Hc1FKX6FffpHMSM9,,6.7,0.67
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+FhVmiRqu6pzYtm3a75bcBYMhFaVzeKW78ckibRswqzxJ,,6.39,0.64
+5BkT4TNnJE7Zq2s3DmGExGSjL7JpJBnxa6atsjARbkxS,,6.3,0.63
+95ECtXUSrL1qzmPahWwmyNdde19ZCYpJuAimAGv7nuTy,,6.19,0.62
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+B9cednRWg5wkjq4a5R7h1sAnTsfHzWXLrNKDexvmVJEN,,5.86,0.59
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+hdJHGEA1cEuk2KtBhCeffyDEMPRFHuLakBEvy68JGbu,,5.39,0.54
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src/library/analysis_token/new_token/handle_gmgn_pump_total.py

@@ -0,0 +1,33 @@
+import pandas as pd
+import time
+def makeurl(url,url_show):
+    return '=HYPERLINK("{}","{}")'.format(url,  url_show)
+
+def handle_df_gmgn_pump_total():
+    df = pd.read_csv("./df_gmgn_pump_total.csv")
+    # token_url,token_name,age,mc,holders
+    
+    df['datetime'] = pd.to_datetime(df['save_timestamp'],unit='ms' )
+    df=df.sort_values(by=['datetime','token_url'],ascending=[True,True])
+    df = df.drop_duplicates(subset=['token_url'],keep='first')
+    
+    df['datetime'] =df['datetime'].dt.tz_localize('UTC').dt.tz_convert('Asia/Shanghai').dt.strftime('%Y-%m-%d %H:%M:%S')
+    
+    
+    df['token_add'] = df['token_url'].str.split('/').str[-1]
+    
+ 
+ 
+    df["gmgn"] = df.apply(lambda ser: makeurl(
+    f"https://gmgn.ai/sol/token/{ser['token_add']}" , "gmgn" ), axis=1)
+
+    df["defined"] = df.apply(lambda ser: makeurl(
+     f"https://www.defined.fi/sol/{ser['token_add']}" , "defined" ), axis=1)
+    df["isnormal"] = None
+    df["hassec"] = None
+    df["beizhu"] = None
+    df.to_excel(f"df_gmgn_pump_total_{int(time.time())}.xlsx",index=False)
+
+
+
+handle_df_gmgn_pump_total()

src/library/analysis_token/new_token/handle_total_xlsx_and_temp_total_xlsx.py

@@ -0,0 +1,34 @@
+import pandas as pd
+import time
+def makeurl(url,url_show):
+    return '=HYPERLINK("{}","{}")'.format(url,  url_show)
+
+
+def handle_df():
+    df = pd.read_excel("./df_gmgn_pump_total.xlsx")
+    df_temp = pd.read_excel("./df_gmgn_pump_total_temp.xlsx")
+    df_temp = df_temp[~df_temp['token_url'].isin(df['token_url'])].reset_index(drop=True)
+    df = pd.concat([df,df_temp])
+      
+    # df['datetime'] = pd.to_datetime(df['save_timestamp'],unit='ms' )
+
+    df=df.sort_values(by=['datetime','token_url'],ascending=[True,True])
+    df = df.drop_duplicates(subset=['token_url'],keep='first')
+    
+    # df['datetime'] =df['datetime'].dt.tz_localize('UTC').dt.tz_convert('Asia/Shanghai').dt.strftime('%Y-%m-%d %H:%M:%S')
+    
+    # df['token_add'] = df['token_url'].str.split('/').str[-1]
+    
+ 
+    df["gmgn"] = df.apply(lambda ser: makeurl(
+    f"https://gmgn.ai/sol/token/{ser['token_add']}" , "gmgn" ), axis=1)
+
+    df["defined"] = df.apply(lambda ser: makeurl(
+     f"https://www.defined.fi/sol/{ser['token_add']}" , "defined" ), axis=1)
+    # df["isnormal"] = None
+    # df["beizhu"] = None
+    df.to_excel(f"df_gmgn_pump_total_aa.xlsx",index=False)
+
+
+
+handle_df()

src/library/analysis_token/笔记.md

@@ -6,7 +6,7 @@ excel 添加列，链接
 =HYPERLINK("https://gmgn.ai/sol/token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump?tab=activity&maker="&A2,"gmgn")
 
 
- 
+
 
 
 ="('"&A1&"'),"

src/librarydata/dalao_ori_pnl_gmgn/ori_gmgn_pnl_6P4aHkv7oTbwMK6P57sVsejE52jNFeEvYhQMEBpNNN1U.csv

@@ -1,201 +1 @@
-tokenaddress,tokenname,last_active,profit_eth,profit_percent,buy_eth,sell_eth,30d_txns_buy,30d_txns_sell
-GUGmG7qWG4KDCZimpBKi1Ej6xo4ko46V4Fnw6RhKpump,iuji,0d,10.84,1.8,6,3.47,2,1
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-D1jatjJCYJerLedEFqXytCJfequ8LjfYXAW9ztTXpump,Lain:AI,0d,0.479,-1,2.21,2.68,1,1
-CxRBg5BSRujbu1WEcHQrwHHWytVo62jdxzWqtDj5pump,$cryptoids,0d,0.26,0.13,2,2.26,1,1
-HVra3PkboWAsykg1MEqEzPEhqsyNPZPs63xdAaFcpump,dcapump,0d,-0.306,-1,3,2.69,1,1
-H2zb37x5nyW1yeCzVn2RecQFCdt8JK9ZioxqSNsFpump,REN,0d,-1.27,-0.42,3,1.72,1,1
-CZGP1EJUjPRSf3sB8MqoEbUrADHxG3ad6s7iAC7d1ao5,AI,0d,4.76,1.59,3,7.76,1,3
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-GFZvoQbGQwuRB4hUQ4dLTruG7HujExy3bvn7trPtaqgb,Novus,0d,0.027,0.01,2,2.02,1,1
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-2zMwbiC42okCdMuAjdXvwyW3bgyiYuGZVyySZ2hGpump,eigenro,0d,0.167,-1,2.95,3.12,1,1
-PD11M8MB8qQUAiWzyEK4JwfS8rt7Set6av6a5JYpump,AICRYNODE,0d,1.05,0.02,52.24,53.29,9,7
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-HWAi5rH9x66ieEZMvzzrW6eJD7HTm62pBqnxutNJpump,cthulu,0d,0.703,0.36,1.97,2.67,1,1
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-GTkSfBVSHVX5rsczm39i6Txu8oXgawQC8ieETc5Wpump,FROKO,0d,-2.23,-1,3.25,1.02,1,1
-32mcpisCLCYmmppxGshAHwrokkNJnBZzsPE3bDHJpump,supercycle,0d,0.193,-1,1.92,2.12,1,1
-9GpthvTPDpN19HeyvExoyazRhtq3agtg2nbcS7Topump,bing,0d,0.497,0.05,9.81,10.31,1,1
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-2SyBwpMjzP9WP7NUAPGUajiLwXCFxY1KiCzfb3kSpump,Claudius,0d,5.12,1.74,2.94,8.06,1,1
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-8Y4p6DWMnZToNiyiLrbLU4K3XpLX5TM93VAvmokdpump,CLAUDIUS,0d,1.61,0.55,2.94,4.55,1,2
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-DCrPFBDZBVdVaiu98Jr9woaPRT5BUqZwSNr9Chdgpump,bees,0d,20.26,1.87,10.84,31.1,4,8
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-9wtFqbMCFDLwgEboVs3WJhVG2VgwdFBo3osqtqgXpump,TEAPOT,0d,-0.518,-0.27,1.94,1.43,1,1
-7HSiceXdTvqsvZiXUqbZs6LLK9xaPmhqHMDKBrKdpump,GOD,0d,0.004,0.0,1.95,1.95,1,1
-8cv6NL3KsP8zKZNbQRmtq7bCXeGXuGjfUxFUUbNWpRH4,GOD,1d,-1.12,-1,2.92,1.8,1,1
-F1LsFFgfQdsypzJGt4ecSZ75pBermu7KMxFvRbxjpump,WOTF,1d,0.291,-1,1.95,2.24,1,1
-EHHAKzPZJhQy4fc7CTaJPFsetPgKnC6JNCdv6pqsQ7Ma,21e8,1d,5.01,1.03,4.86,9.87,2,4
-AJW3MAoaoG1k2wGQFGeDiF66p1VmFMDTWuVGJJeDpump,unknown_AJW3,1d,1.68,0.96,1.75,3.43,1,2
-GCkgnJ4rfauRomni43MprzRmUAYW6oVKBCuL1SzWpump,RAPED,1d,7.15,0.54,13.19,20.34,4,6
-3wCPeYYwPP7gegkxjritt5AURXmk9byeC56dHZFPRqTd,unknown_3wCP,1d,1.39,0.72,1.93,3.32,1,1
-Dt9kgVLxQn5KquzetVhuWhWkr4kQ1ffoKjZMmwiXpump,Words,1d,-0.214,-0.11,1.94,1.73,1,1
-9Dc92RuWyvMV2hZ4FYEnUe1RSTEaqbKiteHmfqCVS13D,toaster,1d,-0.525,-0.14,1.94,3.13,1,2
-BGaumRqjesfv7jHecTG4cZJNJKt4eJGpTPeFqt3rpump,Gapeape,1d,-0.091,-0.05,1.94,1.85,1,1
-DzrPGjMWTeRjk1CC8gGcqLKFChLKr9ZtAj4WUcTzymW5,YEET,1d,0,-1,0,0,0,0
-3959ft3A1TnevWJ4b3CQDNghFrU9bPb7eJbHyueEo6cC,yeet,1d,0,-1,0,0,0,0
-F48Bsp1UqfAY6nG57agqvwi7hPV64vZ5AUvNc8xS5PJ,consensus,1d,0,0.0,0,2.73,0,1
-9QD2oEzrMAnXkBkruNSKFnHzvPJ4bWkyrtVEwcyfpump,thebes,1d,0.983,0.07,14.22,14.99,4,5
-CGsLbZCpKsQqokRFTfuDxZnkD1eWTcbNB75R1fDnpump,utra,1d,-0.616,-1,2.92,2.31,1,1
-B4KtrpPmjvyY2v1XjSoo5ZLWgHq9MCZjPbtHxqoKpump,chizz,1d,-2.2,-1,7.31,5.1,3,3
-Ga2DPKbBacNFZvL8yFYAKnVxAnB38yFymVKKyu4Lpump,chizz,1d,-0.09,-1,1.95,1.86,1,1
-raPyJ39rPY6YuXg8dzypheiEoDNrvRxnvKUPtpcXJBb,AI,1d,-1.38,-1,2.92,1.54,1,1
-AgHg9Q1s9aUhU7YNMH7c5pvCghFVSFcnCEJ4ePKjrDZg,Thebes,1d,4.3,0.67,6.42,10.72,1,3
-EYM9RgX3S7QqdzUVXK2UuVsy4SH81FX8FHCYqQe1pump,VICTIM,1d,12.86,4.18,3.07,15.94,1,5
-GuhJSFQf7RxyNKpXcivNphPZH8HaXAbDBYaeLooKpump,SWARM,1d,-0.058,-1,2.73,2.67,1,1
-CJbpwzMm6ktXULChRqEQQWVRuYbUrfhtVgsj2BB4pump,Mango,1d,-0.378,-0.19,1.94,1.57,1,1
-5K6wPPcCmofZbzs5Zosb6kGuRL1oibiPy77ocaUmpump,#TOT,1d,-0.352,-1,1.94,1.59,1,1
-EL8tDCUCCkcYpfMQKVghcc8yWSRHJFtnRYBtfJjgpump,LLMtheism,1d,-1.71,-0.27,6.42,4.71,1,1
-FhdFGZzg2cH6fJcLYgKCQ57Ny782zAbkgnGgz89Tpump,0x440x46,1d,-0.539,-0.18,2.92,2.38,1,1
-A1vcmHKqQpacVk6xeEyzfqqPPR1R8fpexEmvKKfzpump,unknown_A1vc,1d,-1.89,-1,3.06,1.16,1,1
-Awif5iQnv1J2x6RHJrh3cNyaH2ghu47DsJfRgFwSpump,Orb,1d,-0.325,-0.11,2.93,2.61,1,1
-3JtfvzFVzkPh1we7DPDGW5xPsrPB5nX5dbAVgTeVpump,$some,1d,-0.421,-0.14,2.92,2.5,1,1
-BQdYEzw4WVxDW56PbbFwVpobBFZ1uVXcPtTBrhfXpump,titer,1d,-1.12,-1,5.99,4.87,2,2
-5JL8WzPwArwSSYvAp3fcXk7yNzPuG4X41xTC2dB3pump,ps,1d,0.667,0.39,1.72,2.39,1,1
-GMNDxoWKwjvYvRzznkVjd9KaJ6UAX48JwJmXvcNypump,numogram,1d,0.723,0.25,2.92,3.65,1,1
-H7zMWPuQNj1URNvzSpbxKG5Yo3iH9fD8QnyX1GyUpump,PYRAMID,1d,-1.07,-1,3.02,1.94,1,1
-E2B5V2LgB2Y8unN85LKZyPfV68KmG5hkVdoLP6RTpump,RED,1d,-0.347,-0.18,1.95,1.6,1,1
-FKFSSSk6mPQQCSt4S71m5temXzE8K2sLby7WKWsypump,Orb,1d,-1.76,-0.6,2.92,1.16,1,1
-2jfmsGtcBpF4qQxztyBqhZmrtTf8tCNv7o98kwwSpump,LLMtheism,1d,-0.991,-0.34,2.92,1.93,1,1
-5cFAEfYRqGUrXQ8RsnwYQvHi3JS7jxYn73wopq1Xpump,JESUS,1d,-0.223,-1,1.94,1.72,1,1
-GUkAbPWCZFAdN1fE34tU6r7hSqWHBxYY761KN3BZpump,Eliezer,1d,0.221,-1,1.7,1.92,1,1
-BscPkzEMYvBVMEscjKznb5Zs6yxs5o1gRADxNFiVpump,Tilly,1d,0.3,-1,2.92,3.22,1,1
-9WeaK79iNvbtivCaw9RfuKwopPL3we2t8rK6ZaSapump,burrito,1d,-1.66,-1,2.36,0.706,1,1
-DRUrxrxmFvDhDKc2a1Pivp8uSv1zFxmvDk3WNbG4pump,sixpencil,1d,0.378,-1,1.96,2.34,1,1
-BpRcSgB44bVDqXP8PC2ooDTMtCyCvKmh5s7mtt8Lpump,U+3000,1d,-0.76,-1,1.96,1.2,1,1
-HdNhnm1SWRjWasAWKHvnnc37EwVBMfaeX4YJxR8Bpump,FARTNANNY,1d,-0.652,-1,1.96,1.31,1,1
-GK3CNto9FrYWVPgf1s7hNRomEZN3i92gLHD4gJ6Hpump,CULT,1d,0.227,-1,1.6,1.82,1,1
-86jRzWPU4sy5evpQ2Mmk86UuPS4wcopik6NZMHSqpump,[invalid],1d,1.6,0.54,2.95,4.55,1,2
-uoKeFHf4XVPhjGabVVCaa6bxSMFzJCfkMHEEzcLpump,tall,1d,-2.14,-1,4,1.85,2,1
-5wUoNHQCZjATGb5RRm1sCrhuaDXCGAN81Q3Yjferpump,mindfk,1d,13.79,-1,4.89,18.68,1,4
-J5LJ1XoeqfR81YgsidXKTXMV1a6F1Ux9cKBLN5Uipump,mindfk,1d,-0.188,-1,2.98,2.79,1,1
-8GRcLi4k6YbFAZn54HPELTdoVXdeTu1BXPmJqbgdpump,wow,1d,-1.56,-1,3.07,1.5,1,1
-DbLX7qixm3MtruPNuQEnVYu8QFDoxMDu3wx19GCLpump,word,1d,0.005,0.0,2.93,2.94,1,1
-7ndLEE3YXJqSNzxK7coGSxYvNbqdY2b7Zqri3XuGDLuP,unknown_7ndL,1d,-0.552,-0.09,6.03,5.48,2,2
-Z19ibmkwxW2tWPX7F3EBA8HhuwCkRzSWfNXrN5Ppump,unknown_Z19i,1d,0.801,0.22,3.68,4.48,2,3
-5bMiFxQUwqex6d4QEQB5LJfEK8B3fV1DVr7PADnupump,NORVID,1d,-0.449,-0.15,2.94,2.49,1,1
-9axpDa1N4Nq7PTeVVPaXjiDCSdJc5TjszA3nSuqapump,cvlt,1d,5.42,0.71,7.59,13,4,4
-6ssPmoowAdCemH6RbCLr5q238gkr5XAZkw4NpguLpump,CHICKEN,1d,-1.02,-1,1.97,0.952,1,1
-4s1KtPPQzyzSDNpPDAZ6kwRRbveqGggU1YeYnS4CHoir,unknown_4s1K,1d,0.743,0.36,2.04,2.78,1,1
-6L9X3nT1QugACUKVvYWU4JSQwuFz8trwUpgjEQczpump,PHIL,1d,-1.15,-1,2.02,0.871,1,1
-FdwrS2euZXsyeQfCAcnv2ViaauvcKV6U3tXZ62hGuGTU,SHL0MS,1d,-1.11,-0.38,2.94,1.83,1,1
-B78DSFahHE7vj82JRjK69zNWsBvuKe8fWP7n6mF7pump,SHL0MS,1d,-0.347,-0.12,2.94,2.59,1,1
-FCGDDio5DuhujHcRQCDbXHnrcSA4pUGg2haNt7S2pump,AirheadFun,1d,0.87,0.3,2.93,3.8,1,1
-3vW9c7k9WUpyctXysxQqhnKPUy6LKLXCamqEyA9sVh4N,unknown_3vW9,1d,-0.298,-1,4.81,4.51,1,1
-J5tXLKfpQtGwtpkUfgghmtvfMbcAairCXR8KuDhipump,BabyChad,1d,40.36,8.29,4.87,45.23,1,12
-AJNk4EU8GqfangKSR8N71f6JsnQFF7YbFZ4ieetGpump,DRY,1d,-2.22,-1,2.79,0.565,1,1
-5sFJqJrSg852TZVEcmdcPcxxQf7vozRnk29VDDBipump,BALLBALL,1d,3.49,-1,1.95,5.43,1,2
-HznZWAodP9VvMfazEhj9sRgRy2DLg3CgkTbNhQxwpump,BALLBALL,1d,-1.38,-1,2.28,0.901,1,1
-AWJndzjV3X1XFoooo5d5Wp2yoQNCK4JdzsyP5baRpump,Llama3.1,1d,-1.02,-1,1.95,0.933,1,1
-7iexSsJLjDvFnbbRF6G64pk8C5cKNTrsJj26QcSvpump,PEMDAS,1d,-0.467,-1,1.47,1,1,1
-E3pU9piMVEubx3YH4msN826cpaKdAga9zjTQc2dxpump,CHARLIE,1d,-0.064,-0.03,1.95,1.88,1,1
-6MCG6QNB2Bp2KRqsstYo8GxcjcGeb2DC3DS7kXX9pump,lulo,1d,-0.383,-0.1,3.88,3.5,2,3
-9QW8eANMoSoyzLx65p7Uzi3VZK3mvGaUAufAW7Nspump,DTR,1d,0.331,0.17,1.94,2.27,1,1
-974h6gyb8rFJcu1Yhm3ujdmHfhLB98dBKXiGCFSJpump,ARCHIE,1d,-0.412,-0.21,1.94,1.53,1,1
-8dyNLpSBgb41q3f1YiENecb6PCoVDMjVZdtb91WKpump,pupper,1d,-0.822,-0.42,1.94,1.12,1,1
-Ft2DavuS1ctcUV3cBJWB1BvD6v1zjjXMJD16VRBEpump,cat,1d,8.04,0.67,11.96,20,4,8
-CekE2jcGFDMGtYXhAikas1nfWeYuSP1FgHepuh1epump,$BORG,1d,-0.203,-0.07,2.9,2.7,1,1
-D57CP6MA7G5idNmxAuigU6W8uPeiGvDVuuwh4z2ypump,LOOM,1d,2.6,0.92,2.82,5.42,1,3
-AdGb7JCR4Lh6oiep2w7Z9AmosVM9y2Wgo5Ac5ZWVJxTV,unknown_AdGb,1d,-0.357,-1,1.91,1.56,1,1
-ETZDTrZp1tWSTPHf22cyUXiv5xGzXuBFEwJAsE8ypump,xcog,1d,31.67,1.77,17.89,49.55,5,17
-6piGvKMipsG6QEJeH3PCpZQb41eXukgA6T6SbMaLewjG,Milo,1d,0.221,-1,1.69,1.91,1,1
-Dd1K743wDuB71T3M4uKXc8a29VsZjnoofKVhTt9Apump,Miledy,1d,1.13,-1,1.95,3.07,1,2
-5ymzsgQjiaa4bXEPgrVTgNJJWyHUw3En3i9Jppb4pump,blake,1d,0.549,0.06,9.11,9.66,3,3
-2XZxicDfGH65vXJy4dYSq3F2hegfiqT8im6qMnSWpump,DARAM,1d,-1.37,-1,6.22,4.84,2,2
-Day6DgKkrb9xtuRkmMK17SB18kmRi3V6oGau8zu4pump,tacit,1d,-0.415,-0.21,1.93,1.52,1,1
-H33XaAyCkPejrG43tB2FnfBu4x6DEjcBZnW9ziFKpump,unknown_H33X,1d,-4.24,-0.88,4.8,0.558,2,1
-HEEKCNgaRA3voEY4tyWwuvd1ucXzVty5i9TBVzLcpump,SINNED,1d,2.84,-1,2.91,5.75,1,1
-5QTHofKRbWFbrt9xE1Npcz3oknWh7y2QDm2hA3eJpump,Greg,1d,1.27,-1,1.93,3.2,1,1
-EJMNLsLodt9ytfE5E8oKksdgnkDdU8gGYCKFpSUMpump,FUCKAI,1d,1.37,0.63,2.17,3.54,1,2
-Ec9g56F4hjPbC2wyPvngP4PgmgXcuLFivZzunXRypump,drklng,1d,5.04,1.04,4.84,9.88,2,4
-7mujzfQoK1ci7TEvYwZZznEZ6EXwQX9a2AwtGDExpump,Repligate,1d,-0.293,-0.1,2.89,2.6,1,1
-CvtcGD5QCPZEXeGN2D2wRLgDwEhgtbZThzE65wabpump,I-405,1d,0.691,-1,2.17,2.86,1,1
-81hNFKinCbcqq9gwGQ6Jhx3J7cemV5cUeeamonj1pump,iAmTheEdge,2d,-1.36,-0.7,1.94,0.576,1,1
-DpqGdwmxiu9vV9hZhTbNzozCpGpYjp3mTVFKFRdtpump,L-405,2d,7.32,1.08,6.77,14.08,3,5
-EEVTDF8vJr27gRwa83B2GfroPLfygjxiaDwjfMG9pump,i-405,2d,0.676,0.23,2.9,3.58,1,2
-HwyidtZCdYAW1EsihMwxFLtMJkVWn3EdJcBGXnM1pump,Decay,2d,1.75,0.9,1.93,3.68,1,1
-CJvntLDFY1bQCcc2Y8u5BwcqZJuHfcLs3cFnizp4pump,FERAL,2d,-0.031,-0.02,1.94,1.91,1,1
-9NxRqJWLKTvVaevx5eZne8QyRutVDohF1vAR4sywpump,Effective,2d,0.53,0.07,7.69,8.22,2,2
-FtT12uZ4z7wqQarYNMxtWRTKRsxHYhim8YSWas1qpump,LCAT,2d,0.148,-1,2.16,2.31,1,1
-9i8ZQ27mNWxjn4XUB8VphV44i1GPKjcKJzmydCL2pump,dum,2d,0.07,-1,1.93,2,1,1
-6GSRzmd1vrZ9jujUhE6TkkGVtNc435HGbWmtkr4ypump,unknown_6GSR,2d,0.315,-1,1.72,2.04,1,1
-4994XJ88RjBS5SKv7qSe4fM3qtPRYzqYBQLe4NRDpump,sma,2d,1.08,0.55,1.95,3.03,1,1
-3JXq16mWyo1uboEK9QCGcjjgCB3DXKWWcF1yySC7pump,$ANDY70B$,2d,-5.24,-0.54,9.63,4.39,2,1
-4QbcQEy4NaiGoxYK1j1g6iLyhEeW4ck2eejJiG2Apump,MAGE,2d,0.113,0.04,2.88,2.99,1,1
-CMUCfKRZeMvv2qkwwNDcub96PFHVYnpikYr8JzZLpump,BEYBLADE,2d,0.231,0.12,1.92,2.15,1,1
-5przkG1fkkGFbp2yj1Sjc99YrBqKwDTojCRcuosdpump,Metaspace,2d,0.163,0.09,1.92,2.08,1,1
-tSMsTnsrBXa3wccudDTJZZHp9pmk8N7WLsZBiNbpump,unknown_tSMs,2d,0.078,-1,2.15,2.23,1,1
-7R1WyjQD5LJEB2KQXyn6FwPtuSUNmCP9RomtZfTTpump,MAGE,2d,-0.125,-1,1.92,1.8,1,1
+tokenaddress,tokenname,last_active,profit_eth,profit_percent,buy_eth,sell_eth,30d_txns_buy,30d_txns_sell,is_warning