windowdog 1 month ago
parent
commit
3243000511
26 changed files with 161 additions and 907 deletions
  1. BIN
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/001_all_holders.xlsx
  2. 1 1
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/001_merge_get_all_holders_add.py
  3. 2 2
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/002_get_special_add_hold_info_from_alltransfercsv.py
  4. 1 1
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/002_merge_get_special_add_hold_info_from_manydunecsv.py
  5. BIN
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/002_merge_special_add_hold_info.xlsx
  6. BIN
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/003_merge_holders_excel_kuangjia.xlsx
  7. 6 14
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/003_merge_holders_get_excel_kuangjia.py
  8. 13 11
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/004_special_add_holders_excel_final.py
  9. BIN
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/004_special_add_holders_excel_final_02112306.xlsx
  10. 6 9
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/005_merge_swap_transfer_row.py
  11. BIN
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/005_merge_swap_transfer_row.xlsx
  12. 11 92
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/006_get_specail_time_total_info.py
  13. BIN
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/006_merge_swap_transfer_total_info_0109日0100-0116日0200.xlsx
  14. BIN
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/all_holders.xlsx
  15. 117 68
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_get_tokenswap_row.csv
  16. 0 75
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_holders_speadd_00_0108日2200.csv
  17. 0 78
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_holders_speadd_00_0109日0100.csv
  18. 0 81
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_holders_speadd_00_0109日0400.csv
  19. 0 84
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_holders_speadd_00_0109日0700.csv
  20. 0 94
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_holders_speadd_00_0110日1000.csv
  21. 0 95
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_holders_speadd_00_0110日2130.csv
  22. 0 99
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_holders_speadd_00_0111日0230.csv
  23. 0 99
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_holders_speadd_00_0116日0100.csv
  24. 4 4
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_transfer_00_0116日0200.csv
  25. BIN
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/merge_swap_transfer_row.xlsx
  26. BIN
      src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/special_add_holders_excel_final.xlsx

BIN
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/001_all_holders.xlsx


+ 1 - 1
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/001_merge_get_all_holders_add.py

@@ -57,7 +57,7 @@ def merge_df_fun():
     merged_df=map_exclude_df(merged_df ,ex_df)
 
     
-    merged_df.to_excel('all_holders.xlsx', index=False)
+    merged_df.to_excel('001_all_holders.xlsx', index=False)
 
  
     

+ 2 - 2
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/002_get_special_add_hold_info_from_alltransfercsv.py

@@ -112,7 +112,7 @@ def fun():
      f"https://www.defined.fi/sol/{token_add}?maker={ser['holder_owner']}" , "defined" ), axis=1)
     
   
-    merged_df.to_excel('merge_special_add_hold_info.xlsx' ,index=False)
+    merged_df.to_excel('002_merge_special_add_hold_info.xlsx' ,index=False)
 
 import os
  
@@ -122,8 +122,8 @@ 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('all_holders.xlsx')
 
+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']]

+ 1 - 1
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/002_merge_get_special_add_hold_info_from_manydunecsv.py

@@ -51,7 +51,7 @@ def merge_df_fun():
      f"https://www.defined.fi/sol/{token_add}?maker={ser['holder_owner']}" , "defined" ), axis=1)
     
   
-    merged_df.to_excel('merge_special_add_hold_info.xlsx' ,index=False)
+    merged_df.to_excel('002_merge_special_add_hold_info.xlsx' ,index=False)
 
  
 if __name__ == "__main__":

BIN
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/merge_special_add_hold_info.xlsx → src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/002_merge_special_add_hold_info.xlsx


BIN
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/merge_holders_excel_kuangjia.xlsx → src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/003_merge_holders_excel_kuangjia.xlsx


+ 6 - 14
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/003_merge_holders_get_excel_kuangjia.py

@@ -13,6 +13,7 @@ domains_df = None
 token_add = ""
 arr_date_range =[]
 arr_df = []
+token_add = '5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump'
 def get_nowdate():
 
     timestamp = datetime.datetime.now().timestamp()
@@ -75,9 +76,6 @@ def merge_df_fun():
   
 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:
@@ -87,31 +85,25 @@ def save_to_excel(out_excel):
     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)
-    token_add = sys.argv[1]
+    # 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 =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()
     time_str = get_nowdate()
-    out_excel =f'merge_holders_excel_kuangjia_{time_str}.xlsx'
+    out_excel =f'003_merge_holders_excel_kuangjia_{time_str}.xlsx'
     save_to_excel(out_excel)
  
     

+ 13 - 11
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/004_merge_special_add_hold_info.py → src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/004_special_add_holders_excel_final.py

@@ -32,10 +32,12 @@ def get_nowdate():
  
  
 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)
@@ -61,10 +63,9 @@ def merge_swap_df_fun_02():
         arr_df.append(cur_df)   
 
 
-    time_str = get_nowdate()
-
-
-    with pd.ExcelWriter(f'special_add_holders_excel_final_{time_str}.xlsx') as writer:
+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 = ''
 
@@ -73,16 +74,17 @@ def merge_swap_df_fun_02():
             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__":
-    token_add = sys.argv[1]
-    merged_hodlers_excel_kuangjia_file = 'merge_holders_excel_kuangjia.xlsx'
-    merged_special_add_hold_info_file = 'merge_special_add_hold_info.xlsx'
+  
+    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)

BIN
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/004_special_add_holders_excel_final_02112306.xlsx


+ 6 - 9
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/005_merge_swap_transfer_row.py

@@ -31,7 +31,7 @@ def utc_2_shanghaidate(df , utc_time_col ):
     # 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():
@@ -51,7 +51,7 @@ def main():
     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()
@@ -77,16 +77,13 @@ def main():
     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'merge_swap_transfer_row_{get_nowdate()}.xlsx'  ,index=False)
+    merged_df.to_excel(  f'005_merge_swap_transfer_row_{get_nowdate()}.xlsx'  ,index=False)
     
- 
     return
 
 
 if __name__ == "__main__":
-    if len(sys.argv)<3:
-        print("args queshao ")
-        sys.exit(1)
-    swap_row_file = sys.argv[1]
-    transfer_row_file = sys.argv[2]
+   
+    swap_row_file = 'dune_get_tokenswap_row.csv'
+    transfer_row_file = 'dune_transfer_00_0116日0200.csv'
     main()

BIN
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/005_merge_swap_transfer_row.xlsx


+ 11 - 92
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/006_get_specail_time_total_info.py

@@ -33,18 +33,17 @@ def utc_2_shanghaidate(df , utc_time_col ):
 
 
 def main():
-    df_swap_row = pd.read_excel('merge_swap_transfer_row.xlsx'  )
+    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))
-    
+    & (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)
 
@@ -52,14 +51,13 @@ def main():
      f"https://solscan.io/tx/{ser['tx_id']}" , "scan" ), axis=1)
     
     
-    df_swap_row.to_excel(  f'merge_swap_transfer_total_info_{str_start}-{str_end}.xlsx'  ,index=False)
+    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]
@@ -67,96 +65,17 @@ 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()
 
-'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',
+file_merge_swap_transfer_row  =  '005_merge_swap_transfer_row.xlsx'
 
-]
 
 
-if __name__ == "__main__":
- 
  
-    main()
+main()

BIN
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/006_merge_swap_transfer_total_info_0109日0100-0116日0200.xlsx


BIN
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/all_holders.xlsx


+ 117 - 68
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_get_tokenswap_row_special_add.csv → src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_get_tokenswap_row.csv

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+ 0 - 75
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_holders_speadd_00_0108日2200.csv

@@ -1,75 +0,0 @@
-holder_owner,domains_owned,amount_M,pct_supply
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+ 0 - 78
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_holders_speadd_00_0109日0100.csv

@@ -1,78 +0,0 @@
-holder_owner,domains_owned,amount_M,pct_supply
-5Q544fKrFoe6tsEbD7S8EmxGTJYAKtTVhAW5Q5pge4j1,usedsaga.sol,81.2,8.12
-Cet3TXGhtFcBo6vX9kfYjbtNyANbCWqwVC6G1QioKUhc,,29.72,2.97
-7m2XQP2NDebaEKDhegj7WYpZBmrKF5yhiVi1JZU8cwoj,,24.19,2.42
-68WLD7YzwjqBoCEVuJ3rjVbaPaAog6ATCkjUTpNqiMNF,donkquixote.sol,20,2
-4ttYJgVcZMMXFsTPBAEKVUEDUshvsXqgvfUv3W7bdv7e,,15.1,1.51
-14qLxu9XDQtc2pgnxX2SSdWPpnuVrEqccgwmATH1khcY,,14.78,1.48
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+ 0 - 81
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_holders_speadd_00_0109日0400.csv

@@ -1,81 +0,0 @@
-holder_owner,domains_owned,amount_M,pct_supply
-5Q544fKrFoe6tsEbD7S8EmxGTJYAKtTVhAW5Q5pge4j1,usedsaga.sol,124.87,12.49
-Cet3TXGhtFcBo6vX9kfYjbtNyANbCWqwVC6G1QioKUhc,,29.72,2.97
-7m2XQP2NDebaEKDhegj7WYpZBmrKF5yhiVi1JZU8cwoj,,24.19,2.42
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-6QfdT1XZauUMCJU3SaN2d2aqdoFa4TDVNmxJig52ZGZT,,9.85,0.99
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-Gy5GSoHmrfnv49TZHku1bxNv2Dy4tFDjgm7vGbmp8S2h,,3.85,0.39
-2k77ScTf9ULptpVRG4M4X6SRZiuUxWCTzG2RWBT7KnHR,,2.75,0.28
-Gg6PuMT9qs53QiSrrJsnLyh51xedbzKAV5JiQ9qHPQ7a,,2.46,0.25
-9wNu1SLCfouEsR4B8PCck6p15mcSgun7k5KEKDw43Cyu,,2.37,0.24
-YWzEJLhgobeRvYnqVhPRNRC36sEiB9KJWybkXdXoyyb,,1.24,0.12
-HmgJG6XqV4HjDEXG47gTx8oobq6Y5W11oeYBD86N2RPR,,0.38,0.04
-CC1xmUJCvq4wPzHSNKVHfMV9T3vRjHTZnzvW9VLVJ4gs,,0,0
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-68WLD7YzwjqBoCEVuJ3rjVbaPaAog6ATCkjUTpNqiMNF,donkquixote.sol,0,0
-6mh7mv8JGBqmnV86NFJoVS3fkYgdbxCmxVys1vK3dB6t,,0,0
-51pcMTBEKwiKRVrCV5EmmHazsWetGDUxKkxoc5r3248,,0,0
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-D7hpLQ4VEKAr2ALHZqT7JjTLqgBGsRqJZrbfzxPcyVtD,,0,0

+ 0 - 84
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_holders_speadd_00_0109日0700.csv

@@ -1,84 +0,0 @@
-holder_owner,domains_owned,amount_M,pct_supply
-5Q544fKrFoe6tsEbD7S8EmxGTJYAKtTVhAW5Q5pge4j1,usedsaga.sol,110.57,11.06
-Cet3TXGhtFcBo6vX9kfYjbtNyANbCWqwVC6G1QioKUhc,,29.72,2.97
-7m2XQP2NDebaEKDhegj7WYpZBmrKF5yhiVi1JZU8cwoj,,24.19,2.42
-68WLD7YzwjqBoCEVuJ3rjVbaPaAog6ATCkjUTpNqiMNF,donkquixote.sol,19.56,1.96
-HjUrUJi7zUCXu6NpXBUujYsoG5TJsXkPUrYJdWMKVtts,,18.87,1.89
-dR4GCDofsA6ZpBqzQpQJeob4msVspyASATbqW4sC4YM,,16.76,1.68
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-4ttYJgVcZMMXFsTPBAEKVUEDUshvsXqgvfUv3W7bdv7e,,15.1,1.51
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-5PZs2fmTJpjaMhYbdAH6uEx7Jbbhy2RdAdkNnPw83H3a,,11.81,1.18
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+ 0 - 94
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_holders_speadd_00_0110日1000.csv

@@ -1,94 +0,0 @@
-holder_owner,domains_owned,amount_M,pct_supply
-5Q544fKrFoe6tsEbD7S8EmxGTJYAKtTVhAW5Q5pge4j1,usedsaga.sol,119.48,11.95
-Cet3TXGhtFcBo6vX9kfYjbtNyANbCWqwVC6G1QioKUhc,,29.72,2.97
-8oTVjgucrArfQgyGFy2AiEKz6QDhW6ATTJQ1nSkG3wAr,,24.76,2.48
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-68WLD7YzwjqBoCEVuJ3rjVbaPaAog6ATCkjUTpNqiMNF,donkquixote.sol,0,0
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+ 0 - 95
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_holders_speadd_00_0110日2130.csv

@@ -1,95 +0,0 @@
-holder_owner,domains_owned,amount_M,pct_supply
-5Q544fKrFoe6tsEbD7S8EmxGTJYAKtTVhAW5Q5pge4j1,usedsaga.sol,129.31,12.93
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+ 0 - 99
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_holders_speadd_00_0111日0230.csv

@@ -1,99 +0,0 @@
-holder_owner,domains_owned,amount_M,pct_supply
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+ 0 - 99
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_holders_speadd_00_0116日0100.csv

@@ -1,99 +0,0 @@
-holder_owner,domains_owned,amount_M,pct_supply
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+ 4 - 4
src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/dune_transfer_00_0116日0200.csv

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src/library/analysis_token/5puhwnyz2Tv8jSmmBD5DSqCwFVXwwPGZacymM7DQpump/分析不同时间持仓_02/merge_swap_transfer_row.xlsx


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