weekly data updated

active_traders.parquet

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+size 81703

all_trades_profitability.parquet.gz

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closed_market_metrics.parquet

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+size 129464

closed_markets_div.parquet

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+size 86641

daily_info.parquet

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+size 2456667

daily_mech_requests.parquet

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-size 10377
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+size 10322

error_by_markets.parquet

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-size 12054
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+size 11696

invalid_trades.parquet

@@ -1,3 +1,3 @@
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-size 127337
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+size 127404

retention_activity.parquet.gz

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+size 8711890

scripts/pull_data.py

@@ -135,7 +135,7 @@ def only_new_weekly_analysis():
 
     save_historical_data()
     try:
-        clean_old_data_from_parquet_files("2025-01-11")
+        clean_old_data_from_parquet_files("2025-01-16")
     except Exception as e:
         print("Error cleaning the oldest information from parquet files")
         print(f"reason = {e}")

scripts/staking.py

@@ -128,7 +128,7 @@ def get_service_data(service_registry: Any, service_id: int) -> dict:
     return tmp_map
 
 
-def update_service_map(start: int = 1, end: int = 2000):
+def update_service_map(start: int = 1, end: int = 2500):
     if os.path.exists(ROOT_DIR / "service_map.pkl"):
         with open(ROOT_DIR / "service_map.pkl", "rb") as f:
             service_map = pickle.load(f)
@@ -268,11 +268,15 @@ def check_list_addresses(address_list: list):
                 found_key = key
                 mapping[trader_address] = "Olas"
                 trader_types.append("Olas")
+                if trader_address == "0xfd2b6aa1b58a9647d485625dca27b0ebb249c043":
+                    print("Olas trader found")
                 break
 
         if found_key == -1:
             mapping[trader_address] = "non_Olas"
             trader_types.append("non_Olas")
+            if trader_address == "0xfd2b6aa1b58a9647d485625dca27b0ebb249c043":
+                print("Non-Olas trader found")
     return mapping
 
 

service_map.pkl

@@ -1,3 +1,3 @@
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-size 196591
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+size 198052

tools_accuracy.csv

@@ -1,13 +1,13 @@
 tool,tool_accuracy,total_requests,min,max
-claude-prediction-offline,62.0094482354031,64774,2025-01-11 00:01:30,2025-03-11 00:39:40
-claude-prediction-online,63.197480741203414,38424,2025-01-11 00:00:35,2025-03-11 01:51:10
-prediction-offline,52.13658573348574,159226,2025-01-11 00:02:00,2025-03-11 17:17:10
-prediction-offline-sme,50.97604259094942,11270,2025-01-11 00:01:35,2025-03-10 23:17:55
-prediction-online,46.85763146643865,4678,2025-01-11 01:44:25,2025-03-10 20:27:20
-prediction-online-sme,44.88583046606193,3197,2025-01-11 00:14:35,2025-03-10 20:03:25
-prediction-request-rag,46.908315565031984,469,2025-01-11 12:13:50,2025-03-10 18:23:10
-prediction-request-rag-claude,49.6437054631829,421,2025-01-11 08:05:15,2025-03-10 19:04:35
-prediction-request-reasoning,50.422045680238334,76532,2025-01-11 00:00:20,2025-03-10 21:08:40
-prediction-request-reasoning-claude,65.71428571428571,455,2025-01-11 17:17:40,2025-03-10 19:42:00
-prediction-url-cot-claude,51.113172541743964,1078,2025-01-11 00:20:50,2025-03-10 23:11:15
-superforcaster,57.1516582811377,9739,2025-01-11 00:21:05,2025-03-11 00:40:25
+claude-prediction-offline,62.253709269595916,62883,2025-01-16 00:05:35,2025-03-15 22:07:10
+claude-prediction-online,63.716766288913526,36973,2025-01-16 00:01:25,2025-03-16 00:04:50
+prediction-offline,52.96297417577427,165155,2025-01-16 00:00:40,2025-03-16 17:38:20
+prediction-offline-sme,51.37596899224807,10320,2025-01-16 00:02:20,2025-03-15 19:54:50
+prediction-online,45.5020920502092,4780,2025-01-16 08:52:05,2025-03-15 16:56:55
+prediction-online-sme,43.68078175895766,3070,2025-01-16 08:59:25,2025-03-16 16:35:25
+prediction-request-rag,46.81318681318681,455,2025-01-16 13:25:20,2025-03-14 16:59:35
+prediction-request-rag-claude,48.78048780487805,410,2025-01-16 13:57:25,2025-03-15 15:30:15
+prediction-request-reasoning,48.52748691099477,70288,2025-01-16 08:00:05,2025-03-15 18:03:15
+prediction-request-reasoning-claude,65.82568807339449,436,2025-01-16 11:07:25,2025-03-14 17:24:20
+prediction-url-cot-claude,52.43553008595988,1047,2025-01-16 00:14:50,2025-03-15 20:26:00
+superforcaster,57.95726941115164,9595,2025-01-16 00:22:10,2025-03-16 15:14:25

unknown_traders.parquet

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+size 923094

weekly_mech_calls.parquet

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winning_df.parquet

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