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./edgex/ticker/parquet/2026/09/23\n 12 ./edgex/ticker/parquet/2026/09/24\n 12 ./edgex/ticker/parquet/2026/09/25\n 12 ./edgex/ticker/parquet/2026/09/26\n 12 ./edgex/ticker/parquet/2026/09/27\n 12 ./edgex/ticker/parquet/2026/09/28\n 12 ./edgex/trades/parquet/2026/09/20\n 12 ./edgex/trades/parquet/2026/09/21\n 12 ./edgex/trades/parquet/2026/09/22\n 12 ./edgex/trades/parquet/2026/09/23\n 12 ./edgex/trades/parquet/2026/09/24\n 12 ./edgex/trades/parquet/2026/09/25\n 12 ./edgex/trades/parquet/2026/09/26\n 12 ./edgex/trades/parquet/2026/09/27\n 12 ./edgex/trades/parquet/2026/09/28\n 12 ./extended/funding/parquet/2026/09/20\n 12 ./extended/funding/parquet/2026/09/21\n 12 ./extended/funding/parquet/2026/09/22\n 12 ./extended/funding/parquet/2026/09/23\n 12 ./extended/funding/parquet/2026/09/24\n 12 ./extended/funding/parquet/2026/09/25\n 12 ./extended/funding/parquet/2026/09/26\n 12 ./extended/funding/parquet/2026/09/27\n 12 ./extended/funding/parquet/2026/09/28\n 12 ./hyperliquid/activeAssetCtx/parquet/2026/09/20\n 12 ./hyperliquid/activeAssetCtx/parquet/2026/09/21\n 12 ./hyperliquid/activeAssetCtx/parquet/2026/09/22\n 12 ./hyperliquid/activeAssetCtx/parquet/2026/09/23\n 12 ./hyperliquid/activeAssetCtx/parquet/2026/09/24","stderr":"\nShell cwd was reset to /tmp/peerfeed-a21/work-t3-raw","interrupted":false,"isImage":false,"noOutputExpected":false}} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMGJooDSXQRsfEsZG3U","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2548,"cache_read_input_tokens":3027,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2548},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"68e139c2-7540-4bea-9f8c-0ae94f253e99","timestamp":"2026-09-29T20:19:36.316Z","request_id":"req_011CfYMGJUhr6kHsRgjzxdyL"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMGJooDSXQRsfEsZG3U","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JQpCdZcDNobTqsaASjqbQZ","name":"Bash","input":{"command":"cd /tmp/peerfeed-a21/archive; find paradex -type f | sort; P=/tmp/peerfeed-a21/venv/bin/python; $P -c \"\nimport duckdb,glob\nfor v in ['hyperliquid','edgex','apex','pacifica','dydx','paradex','nado']:\n f=sorted(glob.glob(f'{v}/trades/parquet/2026/09/2[2]/*.parquet'))[0]\n print('=====',v,f)\n print(duckdb.sql(f\\\"select * from '{f}' limit 3\\\").df().to_string())\n print(duckdb.sql(f\\\"describe select * from '{f}'\\\").df()[['column_name','column_type']].to_string())\n\""},"caller":{"type":"direct"}}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2548,"cache_read_input_tokens":3027,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2548},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"6cc70340-7089-4bcd-ab05-79cc7c4eb971","timestamp":"2026-09-29T20:19:37.779Z","request_id":"req_011CfYMGJUhr6kHsRgjzxdyL","wire_tool_inputs":{"toolu_01JQpCdZcDNobTqsaASjqbQZ":{"command":"cd /tmp/peerfeed-a21/archive; find paradex -type f | sort; P=/tmp/peerfeed-a21/venv/bin/python; $P -c \"\nimport duckdb,glob\nfor v in ['hyperliquid','edgex','apex','pacifica','dydx','paradex','nado']:\n f=sorted(glob.glob(f'{v}/trades/parquet/2026/09/2[2]/*.parquet'))[0]\n print('=====',v,f)\n print(duckdb.sql(f\\\"select * from '{f}' limit 3\\\").df().to_string())\n print(duckdb.sql(f\\\"describe select * from '{f}'\\\").df()[['column_name','column_type']].to_string())\n\""}}} {"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JQpCdZcDNobTqsaASjqbQZ","type":"tool_result","content":"paradex/trades/parquet/2026/09/20/00-02.parquet\nparadex/trades/parquet/2026/09/20/02-04.parquet\nparadex/trades/parquet/2026/09/20/04-06.parquet\nparadex/trades/parquet/2026/09/20/06-08.parquet\nparadex/trades/parquet/2026/09/20/08-10.parquet\nparadex/trades/parquet/2026/09/20/10-12.parquet\nparadex/trades/parquet/2026/09/20/12-14.parquet\nparadex/trades/parquet/2026/09/20/14-16.parquet\nparadex/trades/parquet/2026/09/20/16-18.parquet\nparadex/trades/parquet/2026/09/20/18-20.parquet\nparadex/trades/parquet/2026/09/20/20-22.parquet\nparadex/trades/parquet/2026/09/20/22-24.parquet\nparadex/trades/parquet/2026/09/21/00-02.parquet\nparadex/trades/parquet/2026/09/21/02-04.parquet\nparadex/trades/parquet/2026/09/21/04-06.parquet\nparadex/trades/parquet/2026/09/21/06-08.parquet\nparadex/trades/parquet/2026/09/21/08-10.parquet\nparadex/trades/parquet/2026/09/21/10-12.parquet\nparadex/trades/parquet/2026/09/21/12-14.parquet\nparadex/trades/parquet/2026/09/21/14-16.parquet\nparadex/trades/parquet/2026/09/21/16-18.parquet\nparadex/trades/parquet/2026/09/21/18-20.parquet\nparadex/trades/parquet/2026/09/21/20-22.parquet\nparadex/trades/parquet/2026/09/21/22-24.parquet\nparadex/trades/parquet/2026/09/22/00-02.parquet\nparadex/trades/parquet/2026/09/22/02-04.parquet\nparadex/trades/parquet/2026/09/22/04-06.parquet\nparadex/trades/parquet/2026/09/28/14-16.parquet\nparadex/trades/parquet/2026/09/28/16-18.parquet\nparadex/trades/parquet/2026/09/28/18-20.parquet\nparadex/trades/parquet/2026/09/28/20-22.parquet\nparadex/trades/parquet/2026/09/28/22-24.parquet\n===== hyperliquid hyperliquid/trades/parquet/2026/09/22/00-02.parquet\n coin side px sz time hash tid users recorded_at\n0 xyz:KSTR B 24.236 1.21 2026-09-21 09:31:39.801000+02:00 0xaa2904e247fb9de0aba20444dfa19502030600c7e2febcb24df1b03506ff77cb 386889698309137 [0x0eafbfa3979028e531ac2ea9bfa9f1766d6efa8c, 0x33ad48ed92e3e91a98278f0f7456eae6eafa516e] 2026-09-22 02:38:02.583000+02:00\n1 xyz:KSTR B 24.236 4.69 2026-09-21 09:31:56.017000+02:00 0x55527f0cbec76bba56cc0444dfa27c02033800f259ca8a8cf91b2a5f7dcb45a4 1105437299941505 [0x0eafbfa3979028e531ac2ea9bfa9f1766d6efa8c, 0x33ad48ed92e3e91a98278f0f7456eae6eafa516e] 2026-09-22 02:38:02.583000+02:00\n2 xyz:KSTR A 24.129 5.90 2026-09-21 09:32:38.600000+02:00 0xb7d54b1b02c09666b94f0444dfa4e20202fa00009dc3b5385b9df66dc1c47051 143118758048092 [0x1081e214bd6f0137234b92432d9b6033b88965b7, 0x0eafbfa3979028e531ac2ea9bfa9f1766d6efa8c] 2026-09-22 02:38:02.583000+02:00\n column_name column_type\n0 coin VARCHAR\n1 side VARCHAR\n2 px DOUBLE\n3 sz DOUBLE\n4 time TIMESTAMP WITH TIME ZONE\n5 hash VARCHAR\n6 tid BIGINT\n7 users VARCHAR[]\n8 recorded_at TIMESTAMP WITH TIME ZONE\n===== edgex edgex/trades/parquet/2026/09/22/00-02.parquet\n ticketId time price size value takerOrderId makerOrderId takerAccountId makerAccountId contractId contractName isBestMatch isBuyerMaker recorded_at\n0 6cbb990c-b29c-4f1c-8ee9-5715c2db0747 2026-09-22 01:59:00.059000+02:00 1.4334 75.30 107.93502 797065148081637332 797065148081636308 688841844680092724 689554585960994765 30000109 EULUSDC True True 2026-09-22 01:59:00.177000+02:00\n1 ecfa02d5-6e2a-4b77-af32-aeff3bd896b8 2026-09-22 01:59:00.135000+02:00 3.5500 21.73 77.14150 797065148404597750 797065148400403446 690065391684768885 681588705657871858 30000104 XIAOMIUSDC True False 2026-09-22 01:59:00.254000+02:00\n2 d4b87118-c8a1-4394-8001-c682dfc538d7 2026-09-22 01:59:00.235000+02:00 149.8100 0.42 62.92020 797065148819834874 797065148819833850 685169864082531754 679785461337472137 30000165 MRKUSDC True True 2026-09-22 01:59:00.354000+02:00\n column_name column_type\n0 ticketId VARCHAR\n1 time TIMESTAMP WITH TIME ZONE\n2 price DOUBLE\n3 size DOUBLE\n4 value DOUBLE\n5 takerOrderId BIGINT\n6 makerOrderId BIGINT\n7 takerAccountId BIGINT\n8 makerAccountId BIGINT\n9 contractId BIGINT\n10 contractName VARCHAR\n11 isBestMatch BOOLEAN\n12 isBuyerMaker BOOLEAN\n13 recorded_at TIMESTAMP WITH TIME ZONE\n===== apex apex/trades/parquet/2026/09/22/00-02.parquet\n T s S_1 v p L i recorded_at\n0 2026-09-22 00:29:57.760000+02:00 CASHCATUSDT Sell 275.0 0.17263 MinusTick 0d404555-b95d-5cbf-ab29-c27592cd1073 2026-09-22 01:59:05.608000+02:00\n1 2026-09-22 00:30:06.761000+02:00 CASHCATUSDT Buy 258.0 0.17412 PlusTick ef5fa1f3-aed7-5c3c-9b14-15f3f66ea187 2026-09-22 01:59:05.608000+02:00\n2 2026-09-22 00:30:23.450000+02:00 WLFIUSDT Sell 13.0 0.05700 MinusTick 8ff826f6-43d0-5228-b8aa-6cc0536d1731 2026-09-22 01:59:05.593000+02:00\n column_name column_type\n0 T TIMESTAMP WITH TIME ZONE\n1 s VARCHAR\n2 S_1 VARCHAR\n3 v DOUBLE\n4 p DOUBLE\n5 L VARCHAR\n6 i VARCHAR\n7 recorded_at TIMESTAMP WITH TIME ZONE\n===== pacifica pacifica/trades/parquet/2026/09/22/00-02.parquet\n h s a p d tc t li it recorded_at\n0 282548277 PLATINUM 0.0001 1816.5000 close_short normal 2026-09-22 01:59:00.031000+02:00 13005929822 0 2026-09-22 01:59:00.200000+02:00\n1 282548281 PAXG 0.0010 4367.0000 close_long normal 2026-09-22 01:59:00.713000+02:00 13005930319 0 2026-09-22 01:59:00.829000+02:00\n2 282548283 MEGA 1.0000 0.0456 close_long normal 2026-09-22 01:59:00.751000+02:00 13005930352 0 2026-09-22 01:59:00.868000+02:00\n column_name column_type\n0 h BIGINT\n1 s VARCHAR\n2 a DOUBLE\n3 p DOUBLE\n4 d VARCHAR\n5 tc VARCHAR\n6 t TIMESTAMP WITH TIME ZONE\n7 li BIGINT\n8 it BIGINT\n9 recorded_at TIMESTAMP WITH TIME ZONE\n===== dydx dydx/trades/parquet/2026/09/22/00-02.parquet\n id size price side createdAt type market\n0 06576e350000000200000002 0.0003 86658.0 BUY 2026-09-22 01:59:06.956000+02:00 LIMIT BTC-USD\n1 06576e390000000200000002 0.0003 86635.0 BUY 2026-09-22 01:59:09.481000+02:00 LIMIT BTC-USD\n2 06576e430000000200000002 0.0004 86651.0 BUY 2026-09-22 01:59:16.042000+02:00 LIMIT BTC-USD\n column_name column_type\n0 id VARCHAR\n1 size DOUBLE\n2 price DOUBLE\n3 side VARCHAR\n4 createdAt TIMESTAMP WITH TIME ZONE\n5 type VARCHAR\n6 market VARCHAR\n===== paradex paradex/trades/parquet/2026/09/22/00-02.parquet\n id market side size price created_at trade_type recorded_at\n0 1790035144450201709220640001 BTC-USD-PERP BUY 0.00019 86631.2 2026-09-22 01:59:04.459000+02:00 RPI 2026-09-22 01:59:04.602000+02:00\n1 1790035144450201709220640002 BTC-USD-PERP BUY 0.00691 86643.7 2026-09-22 01:59:04.459000+02:00 RPI 2026-09-22 01:59:04.612000+02:00\n2 1790035200500201709220640001 BTC-USD-PERP SELL 0.00012 86498.3 2026-09-22 02:00:00.513000+02:00 FILL 2026-09-22 02:00:00.665000+02:00\n column_name column_type\n0 id VARCHAR\n1 market VARCHAR\n2 side VARCHAR\n3 size DOUBLE\n4 price DOUBLE\n5 created_at TIMESTAMP WITH TIME ZONE\n6 trade_type VARCHAR\n7 recorded_at TIMESTAMP WITH TIME ZONE\n===== nado nado/trades/parquet/2026/09/22/00-02.parquet\n type timestamp product_id price taker_qty maker_qty is_taker_buyer recorded_at\n0 trade 2026-09-22 01:59:00.514977+02:00 186 165700000000000000 3200000000000000000000 3200000000000000000000 True 2026-09-22 01:59:00.653000+02:00\n1 trade 2026-09-22 01:59:00.572773+02:00 186 165700000000000000 2150000000000000000000 2150000000000000000000 True 2026-09-22 01:59:00.706000+02:00\n2 trade 2026-09-22 01:59:00.857279+02:00 32 318080000000000000000 1380000000000000000 1380000000000000000 True 2026-09-22 01:59:00.974000+02:00\n column_name column_type\n0 type VARCHAR\n1 timestamp TIMESTAMP WITH TIME ZONE\n2 product_id BIGINT\n3 price VARCHAR\n4 taker_qty VARCHAR\n5 maker_qty VARCHAR\n6 is_taker_buyer BOOLEAN\n7 recorded_at TIMESTAMP WITH TIME ZONE\nShell cwd was reset to /tmp/peerfeed-a21/work-t3-raw","is_error":false}]},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"78984828-085e-4acc-a039-ebb923e0ef44","timestamp":"2026-09-29T20:19:38.078Z","tool_use_result":{"stdout":"paradex/trades/parquet/2026/09/20/00-02.parquet\nparadex/trades/parquet/2026/09/20/02-04.parquet\nparadex/trades/parquet/2026/09/20/04-06.parquet\nparadex/trades/parquet/2026/09/20/06-08.parquet\nparadex/trades/parquet/2026/09/20/08-10.parquet\nparadex/trades/parquet/2026/09/20/10-12.parquet\nparadex/trades/parquet/2026/09/20/12-14.parquet\nparadex/trades/parquet/2026/09/20/14-16.parquet\nparadex/trades/parquet/2026/09/20/16-18.parquet\nparadex/trades/parquet/2026/09/20/18-20.parquet\nparadex/trades/parquet/2026/09/20/20-22.parquet\nparadex/trades/parquet/2026/09/20/22-24.parquet\nparadex/trades/parquet/2026/09/21/00-02.parquet\nparadex/trades/parquet/2026/09/21/02-04.parquet\nparadex/trades/parquet/2026/09/21/04-06.parquet\nparadex/trades/parquet/2026/09/21/06-08.parquet\nparadex/trades/parquet/2026/09/21/08-10.parquet\nparadex/trades/parquet/2026/09/21/10-12.parquet\nparadex/trades/parquet/2026/09/21/12-14.parquet\nparadex/trades/parquet/2026/09/21/14-16.parquet\nparadex/trades/parquet/2026/09/21/16-18.parquet\nparadex/trades/parquet/2026/09/21/18-20.parquet\nparadex/trades/parquet/2026/09/21/20-22.parquet\nparadex/trades/parquet/2026/09/21/22-24.parquet\nparadex/trades/parquet/2026/09/22/00-02.parquet\nparadex/trades/parquet/2026/09/22/02-04.parquet\nparadex/trades/parquet/2026/09/22/04-06.parquet\nparadex/trades/parquet/2026/09/28/14-16.parquet\nparadex/trades/parquet/2026/09/28/16-18.parquet\nparadex/trades/parquet/2026/09/28/18-20.parquet\nparadex/trades/parquet/2026/09/28/20-22.parquet\nparadex/trades/parquet/2026/09/28/22-24.parquet\n===== hyperliquid hyperliquid/trades/parquet/2026/09/22/00-02.parquet\n coin side px sz time hash tid users recorded_at\n0 xyz:KSTR B 24.236 1.21 2026-09-21 09:31:39.801000+02:00 0xaa2904e247fb9de0aba20444dfa19502030600c7e2febcb24df1b03506ff77cb 386889698309137 [0x0eafbfa3979028e531ac2ea9bfa9f1766d6efa8c, 0x33ad48ed92e3e91a98278f0f7456eae6eafa516e] 2026-09-22 02:38:02.583000+02:00\n1 xyz:KSTR B 24.236 4.69 2026-09-21 09:31:56.017000+02:00 0x55527f0cbec76bba56cc0444dfa27c02033800f259ca8a8cf91b2a5f7dcb45a4 1105437299941505 [0x0eafbfa3979028e531ac2ea9bfa9f1766d6efa8c, 0x33ad48ed92e3e91a98278f0f7456eae6eafa516e] 2026-09-22 02:38:02.583000+02:00\n2 xyz:KSTR A 24.129 5.90 2026-09-21 09:32:38.600000+02:00 0xb7d54b1b02c09666b94f0444dfa4e20202fa00009dc3b5385b9df66dc1c47051 143118758048092 [0x1081e214bd6f0137234b92432d9b6033b88965b7, 0x0eafbfa3979028e531ac2ea9bfa9f1766d6efa8c] 2026-09-22 02:38:02.583000+02:00\n column_name column_type\n0 coin VARCHAR\n1 side VARCHAR\n2 px DOUBLE\n3 sz DOUBLE\n4 time TIMESTAMP WITH TIME ZONE\n5 hash VARCHAR\n6 tid BIGINT\n7 users VARCHAR[]\n8 recorded_at TIMESTAMP WITH TIME ZONE\n===== edgex edgex/trades/parquet/2026/09/22/00-02.parquet\n ticketId time price size value takerOrderId makerOrderId takerAccountId makerAccountId contractId contractName isBestMatch isBuyerMaker recorded_at\n0 6cbb990c-b29c-4f1c-8ee9-5715c2db0747 2026-09-22 01:59:00.059000+02:00 1.4334 75.30 107.93502 797065148081637332 797065148081636308 688841844680092724 689554585960994765 30000109 EULUSDC True True 2026-09-22 01:59:00.177000+02:00\n1 ecfa02d5-6e2a-4b77-af32-aeff3bd896b8 2026-09-22 01:59:00.135000+02:00 3.5500 21.73 77.14150 797065148404597750 797065148400403446 690065391684768885 681588705657871858 30000104 XIAOMIUSDC True False 2026-09-22 01:59:00.254000+02:00\n2 d4b87118-c8a1-4394-8001-c682dfc538d7 2026-09-22 01:59:00.235000+02:00 149.8100 0.42 62.92020 797065148819834874 797065148819833850 685169864082531754 679785461337472137 30000165 MRKUSDC True True 2026-09-22 01:59:00.354000+02:00\n column_name column_type\n0 ticketId VARCHAR\n1 time TIMESTAMP WITH TIME ZONE\n2 price DOUBLE\n3 size DOUBLE\n4 value DOUBLE\n5 takerOrderId BIGINT\n6 makerOrderId BIGINT\n7 takerAccountId BIGINT\n8 makerAccountId BIGINT\n9 contractId BIGINT\n10 contractName VARCHAR\n11 isBestMatch BOOLEAN\n12 isBuyerMaker BOOLEAN\n13 recorded_at TIMESTAMP WITH TIME ZONE\n===== apex apex/trades/parquet/2026/09/22/00-02.parquet\n T s S_1 v p L i recorded_at\n0 2026-09-22 00:29:57.760000+02:00 CASHCATUSDT Sell 275.0 0.17263 MinusTick 0d404555-b95d-5cbf-ab29-c27592cd1073 2026-09-22 01:59:05.608000+02:00\n1 2026-09-22 00:30:06.761000+02:00 CASHCATUSDT Buy 258.0 0.17412 PlusTick ef5fa1f3-aed7-5c3c-9b14-15f3f66ea187 2026-09-22 01:59:05.608000+02:00\n2 2026-09-22 00:30:23.450000+02:00 WLFIUSDT Sell 13.0 0.05700 MinusTick 8ff826f6-43d0-5228-b8aa-6cc0536d1731 2026-09-22 01:59:05.593000+02:00\n column_name column_type\n0 T TIMESTAMP WITH TIME ZONE\n1 s VARCHAR\n2 S_1 VARCHAR\n3 v DOUBLE\n4 p DOUBLE\n5 L VARCHAR\n6 i VARCHAR\n7 recorded_at TIMESTAMP WITH TIME ZONE\n===== pacifica pacifica/trades/parquet/2026/09/22/00-02.parquet\n h s a p d tc t li it recorded_at\n0 282548277 PLATINUM 0.0001 1816.5000 close_short normal 2026-09-22 01:59:00.031000+02:00 13005929822 0 2026-09-22 01:59:00.200000+02:00\n1 282548281 PAXG 0.0010 4367.0000 close_long normal 2026-09-22 01:59:00.713000+02:00 13005930319 0 2026-09-22 01:59:00.829000+02:00\n2 282548283 MEGA 1.0000 0.0456 close_long normal 2026-09-22 01:59:00.751000+02:00 13005930352 0 2026-09-22 01:59:00.868000+02:00\n column_name column_type\n0 h BIGINT\n1 s VARCHAR\n2 a DOUBLE\n3 p DOUBLE\n4 d VARCHAR\n5 tc VARCHAR\n6 t TIMESTAMP WITH TIME ZONE\n7 li BIGINT\n8 it BIGINT\n9 recorded_at TIMESTAMP WITH TIME ZONE\n===== dydx dydx/trades/parquet/2026/09/22/00-02.parquet\n id size price side createdAt type market\n0 06576e350000000200000002 0.0003 86658.0 BUY 2026-09-22 01:59:06.956000+02:00 LIMIT BTC-USD\n1 06576e390000000200000002 0.0003 86635.0 BUY 2026-09-22 01:59:09.481000+02:00 LIMIT BTC-USD\n2 06576e430000000200000002 0.0004 86651.0 BUY 2026-09-22 01:59:16.042000+02:00 LIMIT BTC-USD\n column_name column_type\n0 id VARCHAR\n1 size DOUBLE\n2 price DOUBLE\n3 side VARCHAR\n4 createdAt TIMESTAMP WITH TIME ZONE\n5 type VARCHAR\n6 market VARCHAR\n===== paradex paradex/trades/parquet/2026/09/22/00-02.parquet\n id market side size price created_at trade_type recorded_at\n0 1790035144450201709220640001 BTC-USD-PERP BUY 0.00019 86631.2 2026-09-22 01:59:04.459000+02:00 RPI 2026-09-22 01:59:04.602000+02:00\n1 1790035144450201709220640002 BTC-USD-PERP BUY 0.00691 86643.7 2026-09-22 01:59:04.459000+02:00 RPI 2026-09-22 01:59:04.612000+02:00\n2 1790035200500201709220640001 BTC-USD-PERP SELL 0.00012 86498.3 2026-09-22 02:00:00.513000+02:00 FILL 2026-09-22 02:00:00.665000+02:00\n column_name column_type\n0 id VARCHAR\n1 market VARCHAR\n2 side VARCHAR\n3 size DOUBLE\n4 price DOUBLE\n5 created_at TIMESTAMP WITH TIME ZONE\n6 trade_type VARCHAR\n7 recorded_at TIMESTAMP WITH TIME ZONE\n===== nado nado/trades/parquet/2026/09/22/00-02.parquet\n type timestamp product_id price taker_qty maker_qty is_taker_buyer recorded_at\n0 trade 2026-09-22 01:59:00.514977+02:00 186 165700000000000000 3200000000000000000000 3200000000000000000000 True 2026-09-22 01:59:00.653000+02:00\n1 trade 2026-09-22 01:59:00.572773+02:00 186 165700000000000000 2150000000000000000000 2150000000000000000000 True 2026-09-22 01:59:00.706000+02:00\n2 trade 2026-09-22 01:59:00.857279+02:00 32 318080000000000000000 1380000000000000000 1380000000000000000 True 2026-09-22 01:59:00.974000+02:00\n column_name column_type\n0 type VARCHAR\n1 timestamp TIMESTAMP WITH TIME ZONE\n2 product_id BIGINT\n3 price VARCHAR\n4 taker_qty VARCHAR\n5 maker_qty VARCHAR\n6 is_taker_buyer BOOLEAN\n7 recorded_at TIMESTAMP WITH TIME ZONE","stderr":"\nShell cwd was reset to /tmp/peerfeed-a21/work-t3-raw","interrupted":false,"isImage":false,"noOutputExpected":false}} {"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"54ee0282-17e1-48f3-a22a-107e2db8b4c1"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"a7906aab-ce5d-4b83-93c3-75b376620f4f"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":150,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"35bad380-c4d2-498b-bcc3-8ff7219e71d3"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":100,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"34b9a058-521f-4dd8-a5b0-920a2b4c2901"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":150,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"ce4d3364-2299-4519-80ff-a2385921e662"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMGaT9LggJAPitt3Vix","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4845,"cache_read_input_tokens":5575,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4845},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"fadd484d-464c-4398-a635-a1d94a18dff3","timestamp":"2026-09-29T20:19:45.586Z","request_id":"req_011CfYMGa8HyYiyiiZf2i9Pp"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMGaT9LggJAPitt3Vix","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EpjCe8q9bAv7RfYn8bMPGD","name":"Bash","input":{"command":"cd /tmp/peerfeed-a21/archive; P=/tmp/peerfeed-a21/venv/bin/python; $P -c \"\nimport duckdb\nc=duckdb.connect(); c.sql(\\\"set TimeZone='UTC'\\\")\nq={'hyperliquid':\\\"select coin k,count(*),avg(px) from 'hyperliquid/trades/parquet/*/*/*/*.parquet' where coin ilike '%BTC%' group by 1\\\",\n'edgex':\\\"select contractName||'/'||contractId k,count(*),avg(price) from 'edgex/trades/parquet/*/*/*/*.parquet' where contractName ilike '%BTC%' group by 1\\\",\n'apex':\\\"select s k,count(*),avg(p) from 'apex/trades/parquet/*/*/*/*.parquet' where s ilike '%BTC%' group by 1\\\",\n'pacifica':\\\"select s k,count(*),avg(p) from 'pacifica/trades/parquet/*/*/*/*.parquet' where s ilike '%BTC%' group by 1\\\",\n'dydx':\\\"select market k,count(*),avg(price) from 'dydx/trades/parquet/*/*/*/*.parquet' group by 1\\\",\n'paradex':\\\"select market||'/'||trade_type k,count(*),avg(price) from 'paradex/trades/parquet/*/*/*/*.parquet' group by 1\\\",\n'nado':\\\"select product_id k,count(*),avg(price::hugeint/1e18) from 'nado/trades/parquet/*/*/*/*.parquet' group by 1 having avg(price::hugeint/1e18) > 10000\\\",\n}\nfor v,s in q.items(): print('==',v); print(c.sql(s).df().to_string())\n\""},"caller":{"type":"direct"}}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4845,"cache_read_input_tokens":5575,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4845},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"e858662f-1cbb-4ed6-8946-dda2c170b33a","timestamp":"2026-09-29T20:19:49.752Z","request_id":"req_011CfYMGa8HyYiyiiZf2i9Pp","wire_tool_inputs":{"toolu_01EpjCe8q9bAv7RfYn8bMPGD":{"command":"cd /tmp/peerfeed-a21/archive; P=/tmp/peerfeed-a21/venv/bin/python; $P -c \"\nimport duckdb\nc=duckdb.connect(); c.sql(\\\"set TimeZone='UTC'\\\")\nq={'hyperliquid':\\\"select coin k,count(*),avg(px) from 'hyperliquid/trades/parquet/*/*/*/*.parquet' where coin ilike '%BTC%' group by 1\\\",\n'edgex':\\\"select contractName||'/'||contractId k,count(*),avg(price) from 'edgex/trades/parquet/*/*/*/*.parquet' where contractName ilike '%BTC%' group by 1\\\",\n'apex':\\\"select s k,count(*),avg(p) from 'apex/trades/parquet/*/*/*/*.parquet' where s ilike '%BTC%' group by 1\\\",\n'pacifica':\\\"select s k,count(*),avg(p) from 'pacifica/trades/parquet/*/*/*/*.parquet' where s ilike '%BTC%' group by 1\\\",\n'dydx':\\\"select market k,count(*),avg(price) from 'dydx/trades/parquet/*/*/*/*.parquet' group by 1\\\",\n'paradex':\\\"select market||'/'||trade_type k,count(*),avg(price) from 'paradex/trades/parquet/*/*/*/*.parquet' group by 1\\\",\n'nado':\\\"select product_id k,count(*),avg(price::hugeint/1e18) from 'nado/trades/parquet/*/*/*/*.parquet' group by 1 having avg(price::hugeint/1e18) > 10000\\\",\n}\nfor v,s in q.items(): print('==',v); print(c.sql(s).df().to_string())\n\""}}} {"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EpjCe8q9bAv7RfYn8bMPGD","type":"tool_result","content":"== hyperliquid\n k count_star() avg(px)\n0 BTC 2964554 84302.458922\n== edgex\n k count_star() avg(price)\n0 BTCUSDC/30000001 1055479 84175.770204\n== apex\n k count_star() avg(p)\n0 BTCUSDT 221697 84021.915191\n== pacifica\n k count_star() avg(p)\n0 BTC 108120 84185.658694\n== dydx\n k count_star() avg(price)\n0 AVAX-USD 10049 10.665986\n1 SOL-USD 67672 116.188885\n2 BCH-USD 7762 331.347140\n3 LTC-USD 6431 62.466058\n4 LDO-USD 12956 0.426165\n5 BLUR-USD 241 0.019721\n6 BTC-USD 72284 84092.793288\n7 ATOM-USD 16929 1.764800\n8 ARB-USD 10661 0.217555\n9 XLM-USD 10027 0.209286\n10 UNI-USD 4682 9.442749\n11 SUI-USD 6818 0.929830\n12 PEPE-USD 1246 0.000005\n13 ETC-USD 6630 9.175570\n14 APT-USD 9245 0.778454\n15 SHIB-USD 8690 0.000006\n16 LINK-USD 6471 12.885741\n17 TRX-USD 4667 0.343739\n18 NEAR-USD 10309 4.420747\n19 WLD-USD 12458 0.450710\n20 OP-USD 1242 0.132768\n21 ETH-USD 90187 2692.076787\n22 ADA-USD 10189 0.238529\n23 CRV-USD 10024 0.349426\n24 SEI-USD 2819 0.063946\n25 DOT-USD 10455 1.156618\n26 COMP-USD 187 22.936631\n27 DOGE-USD 9931 0.094517\n28 APE-USD 123 0.152212\n29 FIL-USD 8902 1.006261\n== paradex\n k count_star() avg(price)\n0 ENA-USD-PERP/RPI 1 0.219200\n1 LINK-USD-PERP/BLOCK_TRADE 5 13.069400\n2 HYPE-USD-PERP/BLOCK_TRADE 3 90.075667\n3 LTC-USD-PERP/FILL 26 61.268077\n4 STRK-USD-PERP/RPI 7 0.047500\n5 GOOGL-USD-PERP/BLOCK_TRADE 2 350.750000\n6 LDO-USD-PERP/FILL 16 0.422069\n7 ZEC-USD-PERP/FILL 101 1517.378050\n8 ZEC-USD-PERP/RPI 112 1487.875000\n9 TAO-USD-PERP/FILL 6 291.403333\n10 XAU-USD-PERP/RPI 7 4329.328571\n11 XRP-USD-PERP/LIQUIDATION 1 1.478598\n12 ETH-USD-PERP/BLOCK_TRADE 5 2731.944000\n13 MON-USD-PERP/RPI 2 0.026724\n14 XRP-USD-PERP/FILL 8 1.480350\n15 SOL-USD-PERP/FILL 393 113.453440\n16 XCU-USD-PERP/FILL 14 6.675021\n17 TRX-USD-PERP/RPI 12 0.344083\n18 ZEC-USD-PERP/BLOCK_TRADE 2 1504.933500\n19 HYPE-USD-PERP/UNWIND_TRANSFER 1 93.404969\n20 UNI-USD-PERP/RPI 1 8.837000\n21 BTC-USD-PERP/BLOCK_TRADE 6 84014.366667\n22 BZ-USD-PERP/RPI 36 99.230833\n23 PAXG-USD-PERP/FILL 868 4349.396866\n24 SOL-USD-PERP/BLOCK_TRADE 2 116.018000\n25 BNB-USD-PERP/UNWIND_TRANSFER 1 764.867965\n26 LINK-USD-PERP/FILL 112 13.313768\n27 ONDO-USD-PERP/FILL 6 0.394100\n28 XRP-USD-PERP/BLOCK_TRADE 3 1.453900\n29 ETH-USD-PERP/UNWIND_TRANSFER 1 2621.456201\n30 PYTH-USD-PERP/FILL 12 0.061902\n31 TRX-USD-PERP/FILL 16 0.343224\n32 UNI-USD-PERP/FILL 31 8.883000\n33 SUI-USD-PERP/UNWIND_TRANSFER 1 1.030487\n34 XPT-USD-PERP/RPI 1 1719.900000\n35 LTC-USD-PERP/RPI 51 60.455686\n36 SUI-USD-PERP/RPI 18 1.120406\n37 BTC-USD-PERP/UNWIND_TRANSFER 4 84512.362865\n38 AVAX-USD-PERP/FILL 21 12.076619\n39 kSHIB-USD-PERP/FILL 1 0.006666\n40 PUMP-USD-PERP/FILL 25 0.004866\n41 PUMP-USD-PERP/RPI 3 0.004221\n42 ETHFI-USD-PERP/FILL 2 0.660550\n43 ZEC-USD-PERP/UNWIND_TRANSFER 1 1467.605664\n44 XPL-USD-PERP/RPI 18 0.096720\n45 TRUMP-USD-PERP/FILL 12 2.352000\n46 PAXG-USD-PERP/LIQUIDATION 9 4346.370615\n47 BNB-USD-PERP/BLOCK_TRADE 1 784.530000\n48 XRP-USD-PERP/UNWIND_TRANSFER 1 1.397076\n49 WLFI-USD-PERP/FILL 3 0.053400\n50 LINK-USD-PERP/LIQUIDATION 3 15.211098\n51 PYTH-USD-PERP/BLOCK_TRADE 1 0.079220\n52 XMR-USD-PERP/UNWIND_TRANSFER 1 597.656908\n53 HYPE-USD-PERP/RPI 111 91.006964\n54 LIT-USD-PERP/RPI 10 4.857477\n55 VVV-USD-PERP/FILL 11 30.459464\n56 TRX-USD-PERP/LIQUIDATION 11 0.343829\n57 NEAR-USD-PERP/LIQUIDATION 1 3.917746\n58 NEAR-USD-PERP/UNWIND_TRANSFER 2 4.081798\n59 AAVE-USD-PERP/FILL 4 139.400000\n60 ETH-USD-PERP/RPI 1580 2688.714082\n61 XMR-USD-PERP/RPI 16 574.480000\n62 PAXG-USD-PERP/RPI 39 4332.614103\n63 HYPE-USD-PERP/LIQUIDATION 9 91.772610\n64 KAITO-USD-PERP/RPI 1 0.335800\n65 ZEC-USD-PERP/LIQUIDATION 6 1523.585329\n66 SUI-USD-PERP/LIQUIDATION 10 1.016664\n67 DOGE-USD-PERP/BLOCK_TRADE 1 0.099020\n68 PYTH-USD-PERP/RPI 1 0.078740\n69 ADA-USD-PERP/UNWIND_TRANSFER 1 0.247029\n70 kSHIB-USD-PERP/UNWIND_TRANSFER 1 0.006127\n71 UNI-USD-PERP/UNWIND_TRANSFER 1 8.834965\n72 SOL-USD-PERP/LIQUIDATION 9 111.531699\n73 CL-USD-PERP/RPI 8 93.917500\n74 DOGE-USD-PERP/UNWIND_TRANSFER 3 0.097867\n75 LTC-USD-PERP/UNWIND_TRANSFER 1 62.053366\n76 AVAX-USD-PERP/RPI 10 11.131500\n77 JUP-USD-PERP/FILL 5 0.308454\n78 GRAM-USD-PERP/FILL 12 1.258117\n79 TRUMP-USD-PERP/RPI 1 2.095000\n80 PENDLE-USD-PERP/FILL 86 2.601852\n81 NEAR-USD-PERP/FILL 45 3.971651\n82 CRCL-USD-PERP/BLOCK_TRADE 1 96.321000\n83 DOGE-USD-PERP/RPI 1 0.098300\n84 CL-USD-PERP/FILL 1 92.200000\n85 BNB-USD-PERP/FILL 190 761.363053\n86 ONDO-USD-PERP/RPI 1 0.513300\n87 TRX-USD-PERP/UNWIND_TRANSFER 1 0.344180\n88 XCU-USD-PERP/RPI 31 6.730581\n89 XAG-USD-PERP/RPI 5 64.333800\n90 JUP-USD-PERP/BLOCK_TRADE 2 0.305210\n91 kPEPE-USD-PERP/RPI 2 0.004008\n92 ENA-USD-PERP/FILL 4 0.221850\n93 BNB-USD-PERP/LIQUIDATION 2 778.174986\n94 SPCX-USD-PERP/RPI 1 146.930000\n95 TAO-USD-PERP/RPI 15 297.366667\n96 ETH-USD-PERP/FILL 4627 2664.465440\n97 XRP-USD-PERP/RPI 26 1.459319\n98 BNB-USD-PERP/RPI 26 775.897692\n99 SUI-USD-PERP/FILL 70 1.000856\n100 MORPHO-USD-PERP/FILL 1 2.311000\n101 AVAX-USD-PERP/UNWIND_TRANSFER 1 11.257770\n102 BTC-USD-PERP/RPI 10116 84446.718515\n103 HYPE-USD-PERP/FILL 257 92.277623\n104 DOGE-USD-PERP/FILL 169 0.099800\n105 ADA-USD-PERP/RPI 1 0.233000\n106 BTC-USD-PERP/LIQUIDATION 131 84642.993653\n107 AAVE-USD-PERP/BLOCK_TRADE 2 146.505000\n108 LINK-USD-PERP/RPI 17 14.694647\n109 JUP-USD-PERP/RPI 11 0.300068\n110 ETHFI-USD-PERP/RPI 2 0.694900\n111 GRAM-USD-PERP/UNWIND_TRANSFER 1 1.452897\n112 BTC-USD-PERP/FILL 8492 84046.971561\n113 SOL-USD-PERP/RPI 268 115.049478\n114 CRCL-USD-PERP/RPI 4 93.358250\n115 DOGE-USD-PERP/LIQUIDATION 18 0.090153\n116 ETH-USD-PERP/LIQUIDATION 43 2788.744297\n117 SUI-USD-PERP/BLOCK_TRADE 4 1.016350\n118 PENDLE-USD-PERP/BLOCK_TRADE 2 2.735250\n119 STRK-USD-PERP/FILL 2 0.051000\n120 kPEPE-USD-PERP/FILL 1 0.003585\n121 LIT-USD-PERP/FILL 12 4.666893\n122 VVV-USD-PERP/RPI 4 27.240700\n123 LINK-USD-PERP/UNWIND_TRANSFER 1 13.199412\n== nado\n k count_star() avg((CAST(price AS \"HUGEINT\") / 1e+18))\n0 2 350498 84053.080217\n1 1 747 84438.933066\nShell cwd was reset to /tmp/peerfeed-a21/work-t3-raw","is_error":false}]},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"c3c3674d-5aad-4b62-aa09-59ea16fa6575","timestamp":"2026-09-29T20:19:50.163Z","tool_use_result":{"stdout":"== hyperliquid\n k count_star() avg(px)\n0 BTC 2964554 84302.458922\n== edgex\n k count_star() avg(price)\n0 BTCUSDC/30000001 1055479 84175.770204\n== apex\n k count_star() avg(p)\n0 BTCUSDT 221697 84021.915191\n== pacifica\n k count_star() avg(p)\n0 BTC 108120 84185.658694\n== dydx\n k count_star() avg(price)\n0 AVAX-USD 10049 10.665986\n1 SOL-USD 67672 116.188885\n2 BCH-USD 7762 331.347140\n3 LTC-USD 6431 62.466058\n4 LDO-USD 12956 0.426165\n5 BLUR-USD 241 0.019721\n6 BTC-USD 72284 84092.793288\n7 ATOM-USD 16929 1.764800\n8 ARB-USD 10661 0.217555\n9 XLM-USD 10027 0.209286\n10 UNI-USD 4682 9.442749\n11 SUI-USD 6818 0.929830\n12 PEPE-USD 1246 0.000005\n13 ETC-USD 6630 9.175570\n14 APT-USD 9245 0.778454\n15 SHIB-USD 8690 0.000006\n16 LINK-USD 6471 12.885741\n17 TRX-USD 4667 0.343739\n18 NEAR-USD 10309 4.420747\n19 WLD-USD 12458 0.450710\n20 OP-USD 1242 0.132768\n21 ETH-USD 90187 2692.076787\n22 ADA-USD 10189 0.238529\n23 CRV-USD 10024 0.349426\n24 SEI-USD 2819 0.063946\n25 DOT-USD 10455 1.156618\n26 COMP-USD 187 22.936631\n27 DOGE-USD 9931 0.094517\n28 APE-USD 123 0.152212\n29 FIL-USD 8902 1.006261\n== paradex\n k count_star() avg(price)\n0 ENA-USD-PERP/RPI 1 0.219200\n1 LINK-USD-PERP/BLOCK_TRADE 5 13.069400\n2 HYPE-USD-PERP/BLOCK_TRADE 3 90.075667\n3 LTC-USD-PERP/FILL 26 61.268077\n4 STRK-USD-PERP/RPI 7 0.047500\n5 GOOGL-USD-PERP/BLOCK_TRADE 2 350.750000\n6 LDO-USD-PERP/FILL 16 0.422069\n7 ZEC-USD-PERP/FILL 101 1517.378050\n8 ZEC-USD-PERP/RPI 112 1487.875000\n9 TAO-USD-PERP/FILL 6 291.403333\n10 XAU-USD-PERP/RPI 7 4329.328571\n11 XRP-USD-PERP/LIQUIDATION 1 1.478598\n12 ETH-USD-PERP/BLOCK_TRADE 5 2731.944000\n13 MON-USD-PERP/RPI 2 0.026724\n14 XRP-USD-PERP/FILL 8 1.480350\n15 SOL-USD-PERP/FILL 393 113.453440\n16 XCU-USD-PERP/FILL 14 6.675021\n17 TRX-USD-PERP/RPI 12 0.344083\n18 ZEC-USD-PERP/BLOCK_TRADE 2 1504.933500\n19 HYPE-USD-PERP/UNWIND_TRANSFER 1 93.404969\n20 UNI-USD-PERP/RPI 1 8.837000\n21 BTC-USD-PERP/BLOCK_TRADE 6 84014.366667\n22 BZ-USD-PERP/RPI 36 99.230833\n23 PAXG-USD-PERP/FILL 868 4349.396866\n24 SOL-USD-PERP/BLOCK_TRADE 2 116.018000\n25 BNB-USD-PERP/UNWIND_TRANSFER 1 764.867965\n26 LINK-USD-PERP/FILL 112 13.313768\n27 ONDO-USD-PERP/FILL 6 0.394100\n28 XRP-USD-PERP/BLOCK_TRADE 3 1.453900\n29 ETH-USD-PERP/UNWIND_TRANSFER 1 2621.456201\n30 PYTH-USD-PERP/FILL 12 0.061902\n31 TRX-USD-PERP/FILL 16 0.343224\n32 UNI-USD-PERP/FILL 31 8.883000\n33 SUI-USD-PERP/UNWIND_TRANSFER 1 1.030487\n34 XPT-USD-PERP/RPI 1 1719.900000\n35 LTC-USD-PERP/RPI 51 60.455686\n36 SUI-USD-PERP/RPI 18 1.120406\n37 BTC-USD-PERP/UNWIND_TRANSFER 4 84512.362865\n38 AVAX-USD-PERP/FILL 21 12.076619\n39 kSHIB-USD-PERP/FILL 1 0.006666\n40 PUMP-USD-PERP/FILL 25 0.004866\n41 PUMP-USD-PERP/RPI 3 0.004221\n42 ETHFI-USD-PERP/FILL 2 0.660550\n43 ZEC-USD-PERP/UNWIND_TRANSFER 1 1467.605664\n44 XPL-USD-PERP/RPI 18 0.096720\n45 TRUMP-USD-PERP/FILL 12 2.352000\n46 PAXG-USD-PERP/LIQUIDATION 9 4346.370615\n47 BNB-USD-PERP/BLOCK_TRADE 1 784.530000\n48 XRP-USD-PERP/UNWIND_TRANSFER 1 1.397076\n49 WLFI-USD-PERP/FILL 3 0.053400\n50 LINK-USD-PERP/LIQUIDATION 3 15.211098\n51 PYTH-USD-PERP/BLOCK_TRADE 1 0.079220\n52 XMR-USD-PERP/UNWIND_TRANSFER 1 597.656908\n53 HYPE-USD-PERP/RPI 111 91.006964\n54 LIT-USD-PERP/RPI 10 4.857477\n55 VVV-USD-PERP/FILL 11 30.459464\n56 TRX-USD-PERP/LIQUIDATION 11 0.343829\n57 NEAR-USD-PERP/LIQUIDATION 1 3.917746\n58 NEAR-USD-PERP/UNWIND_TRANSFER 2 4.081798\n59 AAVE-USD-PERP/FILL 4 139.400000\n60 ETH-USD-PERP/RPI 1580 2688.714082\n61 XMR-USD-PERP/RPI 16 574.480000\n62 PAXG-USD-PERP/RPI 39 4332.614103\n63 HYPE-USD-PERP/LIQUIDATION 9 91.772610\n64 KAITO-USD-PERP/RPI 1 0.335800\n65 ZEC-USD-PERP/LIQUIDATION 6 1523.585329\n66 SUI-USD-PERP/LIQUIDATION 10 1.016664\n67 DOGE-USD-PERP/BLOCK_TRADE 1 0.099020\n68 PYTH-USD-PERP/RPI 1 0.078740\n69 ADA-USD-PERP/UNWIND_TRANSFER 1 0.247029\n70 kSHIB-USD-PERP/UNWIND_TRANSFER 1 0.006127\n71 UNI-USD-PERP/UNWIND_TRANSFER 1 8.834965\n72 SOL-USD-PERP/LIQUIDATION 9 111.531699\n73 CL-USD-PERP/RPI 8 93.917500\n74 DOGE-USD-PERP/UNWIND_TRANSFER 3 0.097867\n75 LTC-USD-PERP/UNWIND_TRANSFER 1 62.053366\n76 AVAX-USD-PERP/RPI 10 11.131500\n77 JUP-USD-PERP/FILL 5 0.308454\n78 GRAM-USD-PERP/FILL 12 1.258117\n79 TRUMP-USD-PERP/RPI 1 2.095000\n80 PENDLE-USD-PERP/FILL 86 2.601852\n81 NEAR-USD-PERP/FILL 45 3.971651\n82 CRCL-USD-PERP/BLOCK_TRADE 1 96.321000\n83 DOGE-USD-PERP/RPI 1 0.098300\n84 CL-USD-PERP/FILL 1 92.200000\n85 BNB-USD-PERP/FILL 190 761.363053\n86 ONDO-USD-PERP/RPI 1 0.513300\n87 TRX-USD-PERP/UNWIND_TRANSFER 1 0.344180\n88 XCU-USD-PERP/RPI 31 6.730581\n89 XAG-USD-PERP/RPI 5 64.333800\n90 JUP-USD-PERP/BLOCK_TRADE 2 0.305210\n91 kPEPE-USD-PERP/RPI 2 0.004008\n92 ENA-USD-PERP/FILL 4 0.221850\n93 BNB-USD-PERP/LIQUIDATION 2 778.174986\n94 SPCX-USD-PERP/RPI 1 146.930000\n95 TAO-USD-PERP/RPI 15 297.366667\n96 ETH-USD-PERP/FILL 4627 2664.465440\n97 XRP-USD-PERP/RPI 26 1.459319\n98 BNB-USD-PERP/RPI 26 775.897692\n99 SUI-USD-PERP/FILL 70 1.000856\n100 MORPHO-USD-PERP/FILL 1 2.311000\n101 AVAX-USD-PERP/UNWIND_TRANSFER 1 11.257770\n102 BTC-USD-PERP/RPI 10116 84446.718515\n103 HYPE-USD-PERP/FILL 257 92.277623\n104 DOGE-USD-PERP/FILL 169 0.099800\n105 ADA-USD-PERP/RPI 1 0.233000\n106 BTC-USD-PERP/LIQUIDATION 131 84642.993653\n107 AAVE-USD-PERP/BLOCK_TRADE 2 146.505000\n108 LINK-USD-PERP/RPI 17 14.694647\n109 JUP-USD-PERP/RPI 11 0.300068\n110 ETHFI-USD-PERP/RPI 2 0.694900\n111 GRAM-USD-PERP/UNWIND_TRANSFER 1 1.452897\n112 BTC-USD-PERP/FILL 8492 84046.971561\n113 SOL-USD-PERP/RPI 268 115.049478\n114 CRCL-USD-PERP/RPI 4 93.358250\n115 DOGE-USD-PERP/LIQUIDATION 18 0.090153\n116 ETH-USD-PERP/LIQUIDATION 43 2788.744297\n117 SUI-USD-PERP/BLOCK_TRADE 4 1.016350\n118 PENDLE-USD-PERP/BLOCK_TRADE 2 2.735250\n119 STRK-USD-PERP/FILL 2 0.051000\n120 kPEPE-USD-PERP/FILL 1 0.003585\n121 LIT-USD-PERP/FILL 12 4.666893\n122 VVV-USD-PERP/RPI 4 27.240700\n123 LINK-USD-PERP/UNWIND_TRANSFER 1 13.199412\n== nado\n k count_star() avg((CAST(price AS \"HUGEINT\") / 1e+18))\n0 2 350498 84053.080217\n1 1 747 84438.933066","stderr":"\nShell cwd was reset to /tmp/peerfeed-a21/work-t3-raw","interrupted":false,"isImage":false,"noOutputExpected":false}} {"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"628c9d1c-6c67-4da2-a36f-6eeadb3d15f3"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"2ea5b242-93d3-4b5d-9ed6-fcb3854fb077"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":100,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"cd11e666-a11c-4286-861c-fe2260b840fb"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":336,"estimated_tokens_delta":136,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"ee9cb7f5-a4ac-4032-93be-00f9ed45c0eb"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMHV1FR7h2fn6ZbdgQC","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5491,"cache_read_input_tokens":10420,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5491},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"2f918581-4422-4d28-98e2-62bdc48b397a","timestamp":"2026-09-29T20:19:55.015Z","request_id":"req_011CfYMHUfQo68iUUcHZKfME"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMHV1FR7h2fn6ZbdgQC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01L7qveUzunzUEbuqH4jjGma","name":"Bash","input":{"command":"mkdir -p /tmp/peerfeed-a21/work-t3-raw && cd /tmp/peerfeed-a21/work-t3-raw; cat > load.py <<'EOF'\nimport duckdb\nA='/tmp/peerfeed-a21/archive'\nc=duckdb.connect('btc.duckdb'); c.sql(\"set TimeZone='UTC'\")\ndef g(v,t='trades'): return f\"read_parquet('{A}/{v}/{t}/parquet/*/*/*/*.parquet', filename=true)\"\nc.sql(f\"\"\"create or replace table raw as\nselect 'hyperliquid' venue, time ts, px price, sz qty, px*sz notional, tid::varchar id, side, null::varchar kind, recorded_at rec, filename from {g('hyperliquid')} where coin='BTC'\nunion all select 'edgex', time, price, size, value, ticketId, case when isBuyerMaker then 'S' else 'B' end, null, recorded_at, filename from {g('edgex')} where contractId=30000001\nunion all select 'apex', T, p, v, p*v, i, S_1, null, recorded_at, filename from {g('apex')} where s='BTCUSDT'\nunion all select 'pacifica', t, p, a, p*a, h::varchar, d, tc, recorded_at, filename from {g('pacifica')} where s='BTC'\nunion all select 'dydx', createdAt, price, size, price*size, id, side, type, null, filename from {g('dydx')} where market='BTC-USD'\nunion all select 'paradex', created_at, price, size, price*size, id, side, trade_type, recorded_at, filename from {g('paradex')} where market='BTC-USD-PERP'\nunion all select 'nado', timestamp, price::hugeint/1e18, taker_qty::hugeint/1e18, price::hugeint/1e18*taker_qty::hugeint/1e18, null, is_taker_buyer::varchar, type, recorded_at, filename from {g('nado')} where product_id=2\n\"\"\")\nprint(c.sql(\"select venue,count(*),count(distinct id),min(ts),max(ts),min(price),max(price),min(qty),max(qty),sum(qty<=0), sum(price is null) from raw group by 1\").df().to_string())\nEOF\n/tmp/peerfeed-a21/venv/bin/python load.py"},"caller":{"type":"direct"}}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5491,"cache_read_input_tokens":10420,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5491},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"3184be6a-ed8c-487b-ac1f-f06b481602ad","timestamp":"2026-09-29T20:20:00.751Z","request_id":"req_011CfYMHUfQo68iUUcHZKfME","wire_tool_inputs":{"toolu_01L7qveUzunzUEbuqH4jjGma":{"command":"mkdir -p /tmp/peerfeed-a21/work-t3-raw && cd /tmp/peerfeed-a21/work-t3-raw; cat > load.py <<'EOF'\nimport duckdb\nA='/tmp/peerfeed-a21/archive'\nc=duckdb.connect('btc.duckdb'); c.sql(\"set TimeZone='UTC'\")\ndef g(v,t='trades'): return f\"read_parquet('{A}/{v}/{t}/parquet/*/*/*/*.parquet', filename=true)\"\nc.sql(f\"\"\"create or replace table raw as\nselect 'hyperliquid' venue, time ts, px price, sz qty, px*sz notional, tid::varchar id, side, null::varchar kind, recorded_at rec, filename from {g('hyperliquid')} where coin='BTC'\nunion all select 'edgex', time, price, size, value, ticketId, case when isBuyerMaker then 'S' else 'B' end, null, recorded_at, filename from {g('edgex')} where contractId=30000001\nunion all select 'apex', T, p, v, p*v, i, S_1, null, recorded_at, filename from {g('apex')} where s='BTCUSDT'\nunion all select 'pacifica', t, p, a, p*a, h::varchar, d, tc, recorded_at, filename from {g('pacifica')} where s='BTC'\nunion all select 'dydx', createdAt, price, size, price*size, id, side, type, null, filename from {g('dydx')} where market='BTC-USD'\nunion all select 'paradex', created_at, price, size, price*size, id, side, trade_type, recorded_at, filename from {g('paradex')} where market='BTC-USD-PERP'\nunion all select 'nado', timestamp, price::hugeint/1e18, taker_qty::hugeint/1e18, price::hugeint/1e18*taker_qty::hugeint/1e18, null, is_taker_buyer::varchar, type, recorded_at, filename from {g('nado')} where product_id=2\n\"\"\")\nprint(c.sql(\"select venue,count(*),count(distinct id),min(ts),max(ts),min(price),max(price),min(qty),max(qty),sum(qty<=0), sum(price is null) from raw group by 1\").df().to_string())\nEOF\n/tmp/peerfeed-a21/venv/bin/python load.py"}}} {"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01L7qveUzunzUEbuqH4jjGma","type":"tool_result","content":" venue count_star() count(DISTINCT id) min(ts) max(ts) min(price) max(price) min(qty) max(qty) sum((qty <= 0)) sum((price IS NULL))\n0 nado 350498 0 2026-09-19 23:59:01.326449+00:00 2026-09-28 23:58:00.336084+00:00 80109.0 87377.0 0.00005 2.38785 0.0 0.0\n1 hyperliquid 2964554 2964526 2026-09-19 23:59:00+00:00 2026-09-28 23:58:58.550000+00:00 80148.0 87471.0 0.00001 180.40989 0.0 0.0\n2 edgex 1055479 1055414 2026-09-19 23:59:00.190000+00:00 2026-09-28 23:58:57.164000+00:00 80080.4 87361.1 0.00100 10.05900 0.0 0.0\n3 dydx 72284 25132 2026-09-19 14:15:49.337000+00:00 2026-09-28 23:58:13.236000+00:00 80066.0 87422.0 0.00010 8.71850 0.0 0.0\n4 pacifica 108120 108120 2026-09-19 23:59:05.040000+00:00 2026-09-28 23:58:15.276000+00:00 80165.0 87375.0 0.00001 5.62951 0.0 0.0\n5 paradex 18749 18749 2026-09-19 23:59:53.057000+00:00 2026-09-28 23:46:54.636000+00:00 80158.6 88476.6 0.00001 6.23631 0.0 0.0\n6 apex 221697 216503 2026-09-19 23:53:57.544000+00:00 2026-09-28 23:58:58.233000+00:00 80101.0 87367.7 0.00100 8.30600 0.0 0.0","is_error":false}]},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"f51bcc20-2bf0-4f05-9365-7bec771066b1","timestamp":"2026-09-29T20:20:03.154Z","tool_use_result":{"stdout":" venue count_star() count(DISTINCT id) min(ts) max(ts) min(price) max(price) min(qty) max(qty) sum((qty <= 0)) sum((price IS NULL))\n0 nado 350498 0 2026-09-19 23:59:01.326449+00:00 2026-09-28 23:58:00.336084+00:00 80109.0 87377.0 0.00005 2.38785 0.0 0.0\n1 hyperliquid 2964554 2964526 2026-09-19 23:59:00+00:00 2026-09-28 23:58:58.550000+00:00 80148.0 87471.0 0.00001 180.40989 0.0 0.0\n2 edgex 1055479 1055414 2026-09-19 23:59:00.190000+00:00 2026-09-28 23:58:57.164000+00:00 80080.4 87361.1 0.00100 10.05900 0.0 0.0\n3 dydx 72284 25132 2026-09-19 14:15:49.337000+00:00 2026-09-28 23:58:13.236000+00:00 80066.0 87422.0 0.00010 8.71850 0.0 0.0\n4 pacifica 108120 108120 2026-09-19 23:59:05.040000+00:00 2026-09-28 23:58:15.276000+00:00 80165.0 87375.0 0.00001 5.62951 0.0 0.0\n5 paradex 18749 18749 2026-09-19 23:59:53.057000+00:00 2026-09-28 23:46:54.636000+00:00 80158.6 88476.6 0.00001 6.23631 0.0 0.0\n6 apex 221697 216503 2026-09-19 23:53:57.544000+00:00 2026-09-28 23:58:58.233000+00:00 80101.0 87367.7 0.00100 8.30600 0.0 0.0","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}} {"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"e0a742fe-851b-4fc2-924e-5e8baad83f13"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":297,"estimated_tokens_delta":247,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"084b2e5e-9bfa-4a0b-a6e0-da4247fcc8b2"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMJSftVpw6qa213Uqtz","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1828,"cache_read_input_tokens":15911,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1828},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"3a562de3-7045-4bea-b0cf-bc0366f7635d","timestamp":"2026-09-29T20:20:07.640Z","request_id":"req_011CfYMJRwz1vZUBucWqQ6mf"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMJSftVpw6qa213Uqtz","type":"message","role":"assistant","content":[{"type":"text","text":"Loaded all seven BTC perp feeds. I'm now checking duplicates (dYdX has ~3x repeated IDs), data gaps (Paradex is missing roughly six days) and price outliers."}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1828,"cache_read_input_tokens":15911,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1828},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"b459dece-b906-429a-ba45-8444a467d1e1","timestamp":"2026-09-29T20:20:07.640Z","request_id":"req_011CfYMJRwz1vZUBucWqQ6mf"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMJSftVpw6qa213Uqtz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012tBhAKP3xbVzPUWzznPkSr","name":"Bash","input":{"command":"cd /tmp/peerfeed-a21/work-t3-raw; /tmp/peerfeed-a21/venv/bin/python -c \"\nimport duckdb; c=duckdb.connect('btc.duckdb'); c.sql(\\\"set TimeZone='UTC'\\\")\nprint(c.sql('''select venue, count(*) dupids, sum(nd_ts>1) difts, sum(nd_px>1) difpx, sum(nd_q>1) difq, sum(nfile>1) multifile from (select venue,id,count(distinct ts) nd_ts,count(distinct price) nd_px,count(distinct qty) nd_q,count(distinct filename) nfile from raw where id is not null group by 1,2 having count(*)>1) group by 1''').df())\nprint(c.sql('''select id,ts,price,qty,side,kind,filename from raw where venue='dydx' and id in (select id from raw where venue='dydx' group by 1 having count(*)>1 limit 2) order by id''').df().to_string())\nprint(c.sql('''select id,ts,price,qty,side,rec,filename from raw where venue='hyperliquid' and id in (select id from raw where venue='hyperliquid' group by 1 having count(*)>1 limit 3) order by id''').df().to_string())\nprint(c.sql('''select count(*), count(distinct (ts,price,qty,side)) from raw where venue='nado' ''').df())\n\""},"caller":{"type":"direct"}}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1828,"cache_read_input_tokens":15911,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1828},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"1a976200-1647-4d2c-ac3c-850bdf0776af","timestamp":"2026-09-29T20:20:11.378Z","request_id":"req_011CfYMJRwz1vZUBucWqQ6mf","wire_tool_inputs":{"toolu_012tBhAKP3xbVzPUWzznPkSr":{"command":"cd /tmp/peerfeed-a21/work-t3-raw; /tmp/peerfeed-a21/venv/bin/python -c \"\nimport duckdb; c=duckdb.connect('btc.duckdb'); c.sql(\\\"set TimeZone='UTC'\\\")\nprint(c.sql('''select venue, count(*) dupids, sum(nd_ts>1) difts, sum(nd_px>1) difpx, sum(nd_q>1) difq, sum(nfile>1) multifile from (select venue,id,count(distinct ts) nd_ts,count(distinct price) nd_px,count(distinct qty) nd_q,count(distinct filename) nfile from raw where id is not null group by 1,2 having count(*)>1) group by 1''').df())\nprint(c.sql('''select id,ts,price,qty,side,kind,filename from raw where venue='dydx' and id in (select id from raw where venue='dydx' group by 1 having count(*)>1 limit 2) order by id''').df().to_string())\nprint(c.sql('''select id,ts,price,qty,side,rec,filename from raw where venue='hyperliquid' and id in (select id from raw where venue='hyperliquid' group by 1 having count(*)>1 limit 3) order by id''').df().to_string())\nprint(c.sql('''select count(*), count(distinct (ts,price,qty,side)) from raw where venue='nado' ''').df())\n\""}}} {"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012tBhAKP3xbVzPUWzznPkSr","type":"tool_result","content":" venue dupids difts difpx difq multifile\n0 apex 5194 0.0 0.0 0.0 5194.0\n1 dydx 19758 0.0 0.0 0.0 19745.0\n2 edgex 65 0.0 0.0 0.0 65.0\n3 hyperliquid 28 0.0 0.0 0.0 28.0\n id ts price qty side kind filename\n0 0653b62e0000000200000008 2026-09-20 01:33:26.773000+00:00 80992.0 0.0014 SELL LIMIT /tmp/peerfeed-a21/archive/dydx/trades/parquet/2026/09/20/00-02.parquet\n1 0653b62e0000000200000008 2026-09-20 01:33:26.773000+00:00 80992.0 0.0014 SELL LIMIT /tmp/peerfeed-a21/archive/dydx/trades/parquet/2026/09/20/04-06.parquet\n2 0653b6370000000200000002 2026-09-20 01:33:32.991000+00:00 81053.0 0.0350 SELL LIMIT /tmp/peerfeed-a21/archive/dydx/trades/parquet/2026/09/20/00-02.parquet\n3 0653b6370000000200000002 2026-09-20 01:33:32.991000+00:00 81053.0 0.0350 SELL LIMIT /tmp/peerfeed-a21/archive/dydx/trades/parquet/2026/09/20/04-06.parquet\n id ts price qty side rec filename\n0 1038839810927392 2026-09-21 17:58:59.527000+00:00 85924.0 0.00100 B 2026-09-21 17:58:59.975000+00:00 /tmp/peerfeed-a21/archive/hyperliquid/trades/parquet/2026/09/21/16-18.parquet\n1 1038839810927392 2026-09-21 17:58:59.527000+00:00 85924.0 0.00100 B 2026-09-21 17:59:00.048000+00:00 /tmp/peerfeed-a21/archive/hyperliquid/trades/parquet/2026/09/21/18-20.parquet\n2 887070999413260 2026-09-21 03:58:56.770000+00:00 81473.0 0.00014 A 2026-09-21 03:58:57.050000+00:00 /tmp/peerfeed-a21/archive/hyperliquid/trades/parquet/2026/09/21/02-04.parquet\n3 887070999413260 2026-09-21 03:58:56.770000+00:00 81473.0 0.00014 A 2026-09-21 03:59:25.391000+00:00 /tmp/peerfeed-a21/archive/hyperliquid/trades/parquet/2026/09/21/04-06.parquet\n4 985811731245551 2026-09-21 03:58:56.770000+00:00 81472.0 0.00245 A 2026-09-21 03:58:57.050000+00:00 /tmp/peerfeed-a21/archive/hyperliquid/trades/parquet/2026/09/21/02-04.parquet\n5 985811731245551 2026-09-21 03:58:56.770000+00:00 81472.0 0.00245 A 2026-09-21 03:59:25.391000+00:00 /tmp/peerfeed-a21/archive/hyperliquid/trades/parquet/2026/09/21/04-06.parquet\n count_star() count(DISTINCT main.\"row\"(ts, price, qty, side))\n0 350498 350476","is_error":false}]},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"5838b08a-6851-441d-a10f-b4c931bf0198","timestamp":"2026-09-29T20:20:12.467Z","tool_use_result":{"stdout":" venue dupids difts difpx difq multifile\n0 apex 5194 0.0 0.0 0.0 5194.0\n1 dydx 19758 0.0 0.0 0.0 19745.0\n2 edgex 65 0.0 0.0 0.0 65.0\n3 hyperliquid 28 0.0 0.0 0.0 28.0\n id ts price qty side kind filename\n0 0653b62e0000000200000008 2026-09-20 01:33:26.773000+00:00 80992.0 0.0014 SELL LIMIT /tmp/peerfeed-a21/archive/dydx/trades/parquet/2026/09/20/00-02.parquet\n1 0653b62e0000000200000008 2026-09-20 01:33:26.773000+00:00 80992.0 0.0014 SELL LIMIT /tmp/peerfeed-a21/archive/dydx/trades/parquet/2026/09/20/04-06.parquet\n2 0653b6370000000200000002 2026-09-20 01:33:32.991000+00:00 81053.0 0.0350 SELL LIMIT /tmp/peerfeed-a21/archive/dydx/trades/parquet/2026/09/20/00-02.parquet\n3 0653b6370000000200000002 2026-09-20 01:33:32.991000+00:00 81053.0 0.0350 SELL LIMIT /tmp/peerfeed-a21/archive/dydx/trades/parquet/2026/09/20/04-06.parquet\n id ts price qty side rec filename\n0 1038839810927392 2026-09-21 17:58:59.527000+00:00 85924.0 0.00100 B 2026-09-21 17:58:59.975000+00:00 /tmp/peerfeed-a21/archive/hyperliquid/trades/parquet/2026/09/21/16-18.parquet\n1 1038839810927392 2026-09-21 17:58:59.527000+00:00 85924.0 0.00100 B 2026-09-21 17:59:00.048000+00:00 /tmp/peerfeed-a21/archive/hyperliquid/trades/parquet/2026/09/21/18-20.parquet\n2 887070999413260 2026-09-21 03:58:56.770000+00:00 81473.0 0.00014 A 2026-09-21 03:58:57.050000+00:00 /tmp/peerfeed-a21/archive/hyperliquid/trades/parquet/2026/09/21/02-04.parquet\n3 887070999413260 2026-09-21 03:58:56.770000+00:00 81473.0 0.00014 A 2026-09-21 03:59:25.391000+00:00 /tmp/peerfeed-a21/archive/hyperliquid/trades/parquet/2026/09/21/04-06.parquet\n4 985811731245551 2026-09-21 03:58:56.770000+00:00 81472.0 0.00245 A 2026-09-21 03:58:57.050000+00:00 /tmp/peerfeed-a21/archive/hyperliquid/trades/parquet/2026/09/21/02-04.parquet\n5 985811731245551 2026-09-21 03:58:56.770000+00:00 81472.0 0.00245 A 2026-09-21 03:59:25.391000+00:00 /tmp/peerfeed-a21/archive/hyperliquid/trades/parquet/2026/09/21/04-06.parquet\n count_star() count(DISTINCT main.\"row\"(ts, price, qty, side))\n0 350498 350476","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}} {"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"53b74b3f-cd17-463a-b40e-eb265968ba8f"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":283,"estimated_tokens_delta":233,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"5fc4fb85-3ae1-416d-852b-9218a9ed2a74"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMK7i9G9XwYuWFYYqth","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2049,"cache_read_input_tokens":17739,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2049},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"a37f15a0-2356-4c94-ba81-f7cac3c41722","timestamp":"2026-09-29T20:20:15.592Z","request_id":"req_011CfYMK7L5L1QuKCZYfZGvZ"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMK7i9G9XwYuWFYYqth","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QK7bUvn4Ku3R6RXJJJHSkf","name":"Bash","input":{"command":"cd /tmp/peerfeed-a21/work-t3-raw; /tmp/peerfeed-a21/venv/bin/python -c \"\nimport duckdb; c=duckdb.connect('btc.duckdb'); c.sql(\\\"set TimeZone='UTC'\\\")\nprint(c.sql('''select ts,price,qty,side,rec,regexp_extract(filename,'parquet/(.*)',1) f from raw r where venue='nado' and (ts,price,qty,side) in (select (ts,price,qty,side) from raw where venue='nado' group by all having count(*)>1) order by ts limit 12''').df().to_string())\nprint(c.sql('''select count(*) from (select ts,price,qty,side from raw where venue='nado' group by all having count(*)>1 and count(distinct filename)>1)''').df())\n\""},"caller":{"type":"direct"}}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2049,"cache_read_input_tokens":17739,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2049},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"c3c3e94e-ee2e-4528-a9c3-17c9ce24a563","timestamp":"2026-09-29T20:20:17.359Z","request_id":"req_011CfYMK7L5L1QuKCZYfZGvZ","wire_tool_inputs":{"toolu_01QK7bUvn4Ku3R6RXJJJHSkf":{"command":"cd /tmp/peerfeed-a21/work-t3-raw; /tmp/peerfeed-a21/venv/bin/python -c \"\nimport duckdb; c=duckdb.connect('btc.duckdb'); c.sql(\\\"set TimeZone='UTC'\\\")\nprint(c.sql('''select ts,price,qty,side,rec,regexp_extract(filename,'parquet/(.*)',1) f from raw r where venue='nado' and (ts,price,qty,side) in (select (ts,price,qty,side) from raw where venue='nado' group by all having count(*)>1) order by ts limit 12''').df().to_string())\nprint(c.sql('''select count(*) from (select ts,price,qty,side from raw where venue='nado' group by all having count(*)>1 and count(distinct filename)>1)''').df())\n\""}}} {"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QK7bUvn4Ku3R6RXJJJHSkf","type":"tool_result","content":" ts price qty side rec f\n0 2026-09-21 01:58:59.197100+00:00 81032.0 0.00385 true 2026-09-21 01:58:59.834000+00:00 2026/09/21/00-02.parquet\n1 2026-09-21 01:58:59.197100+00:00 81032.0 0.00280 true 2026-09-21 01:58:59.834000+00:00 2026/09/21/00-02.parquet\n2 2026-09-21 01:58:59.197100+00:00 81032.0 0.02800 true 2026-09-21 01:58:59.834000+00:00 2026/09/21/00-02.parquet\n3 2026-09-21 01:58:59.197100+00:00 81032.0 0.00385 true 2026-09-21 01:59:01.998000+00:00 2026/09/21/02-04.parquet\n4 2026-09-21 01:58:59.197100+00:00 81032.0 0.03260 true 2026-09-21 01:58:59.834000+00:00 2026/09/21/00-02.parquet\n5 2026-09-21 01:58:59.197100+00:00 81032.0 0.03260 true 2026-09-21 01:59:01.998000+00:00 2026/09/21/02-04.parquet\n6 2026-09-21 01:58:59.197100+00:00 81032.0 0.00280 true 2026-09-21 01:59:01.998000+00:00 2026/09/21/02-04.parquet\n7 2026-09-21 01:58:59.197100+00:00 81032.0 0.05370 true 2026-09-21 01:59:01.998000+00:00 2026/09/21/02-04.parquet\n8 2026-09-21 01:58:59.197100+00:00 81032.0 0.05370 true 2026-09-21 01:58:59.834000+00:00 2026/09/21/00-02.parquet\n9 2026-09-21 01:58:59.197100+00:00 81032.0 0.02800 true 2026-09-21 01:59:01.998000+00:00 2026/09/21/02-04.parquet\n10 2026-09-21 13:58:58.183717+00:00 85449.0 0.00195 true 2026-09-21 13:58:58.964000+00:00 2026/09/21/12-14.parquet\n11 2026-09-21 13:58:58.183717+00:00 85449.0 0.00195 true 2026-09-21 13:59:00.091000+00:00 2026/09/21/14-16.parquet\n count_star()\n0 22","is_error":false}]},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"ce7c9c6f-20c7-43ba-979d-b416cd15da3e","timestamp":"2026-09-29T20:20:17.663Z","tool_use_result":{"stdout":" ts price qty side rec f\n0 2026-09-21 01:58:59.197100+00:00 81032.0 0.00385 true 2026-09-21 01:58:59.834000+00:00 2026/09/21/00-02.parquet\n1 2026-09-21 01:58:59.197100+00:00 81032.0 0.00280 true 2026-09-21 01:58:59.834000+00:00 2026/09/21/00-02.parquet\n2 2026-09-21 01:58:59.197100+00:00 81032.0 0.02800 true 2026-09-21 01:58:59.834000+00:00 2026/09/21/00-02.parquet\n3 2026-09-21 01:58:59.197100+00:00 81032.0 0.00385 true 2026-09-21 01:59:01.998000+00:00 2026/09/21/02-04.parquet\n4 2026-09-21 01:58:59.197100+00:00 81032.0 0.03260 true 2026-09-21 01:58:59.834000+00:00 2026/09/21/00-02.parquet\n5 2026-09-21 01:58:59.197100+00:00 81032.0 0.03260 true 2026-09-21 01:59:01.998000+00:00 2026/09/21/02-04.parquet\n6 2026-09-21 01:58:59.197100+00:00 81032.0 0.00280 true 2026-09-21 01:59:01.998000+00:00 2026/09/21/02-04.parquet\n7 2026-09-21 01:58:59.197100+00:00 81032.0 0.05370 true 2026-09-21 01:59:01.998000+00:00 2026/09/21/02-04.parquet\n8 2026-09-21 01:58:59.197100+00:00 81032.0 0.05370 true 2026-09-21 01:58:59.834000+00:00 2026/09/21/00-02.parquet\n9 2026-09-21 01:58:59.197100+00:00 81032.0 0.02800 true 2026-09-21 01:59:01.998000+00:00 2026/09/21/02-04.parquet\n10 2026-09-21 13:58:58.183717+00:00 85449.0 0.00195 true 2026-09-21 13:58:58.964000+00:00 2026/09/21/12-14.parquet\n11 2026-09-21 13:58:58.183717+00:00 85449.0 0.00195 true 2026-09-21 13:59:00.091000+00:00 2026/09/21/14-16.parquet\n count_star()\n0 22","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}} {"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"8602e2ef-7ae7-4163-a744-24f6268dca03"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"8afede12-3945-430b-bdd9-ea167b97747f"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":346,"estimated_tokens_delta":196,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"45a90775-6567-4ca3-9e91-64431c0be059"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMKVse8Eo6MxnamNX17","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1368,"cache_read_input_tokens":19788,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1368},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"7ab35583-0ad2-48e9-972c-a45d0a68170c","timestamp":"2026-09-29T20:20:22.122Z","request_id":"req_011CfYMKVXZNVoT4BgH4b35S"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMKVse8Eo6MxnamNX17","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01E79pJ4aVhJAvohG8WBFuTY","name":"Bash","input":{"command":"cd /tmp/peerfeed-a21/work-t3-raw; /tmp/peerfeed-a21/venv/bin/python -c \"\nimport duckdb; c=duckdb.connect('btc.duckdb'); c.sql(\\\"set TimeZone='UTC'\\\")\nprint(c.sql(\\\"select count(*), sum(taker_qty<>maker_qty) from read_parquet('/tmp/peerfeed-a21/archive/nado/trades/parquet/*/*/*/*.parquet') where product_id=2\\\").df())\nc.sql('''create or replace table t as\nselect * exclude(rn) from (select *, row_number() over (partition by venue, coalesce(id, ts::varchar||price||qty||side) order by rec) rn from raw)\nwhere rn=1 and ts>='2026-09-21 00:00:00+00' and ts<'2026-09-28 00:00:00+00' ''')\nprint(c.sql('select venue,count(*),sum(notional) from t group by 1 order by 3 desc').df())\nh=c.sql('''select venue, date_trunc('hour',ts) h, count(*) n from t group by 1,2''').df()\np=h.pivot(index='h',columns='venue',values='n')\nprint('hours with no trades per venue:'); print(p.isna().sum()); print(len(p))\nimport pandas as pd; pd.set_option('display.width',250)\nprint(p.fillna(0).astype(int).resample('6h').sum().to_string())\n\""},"caller":{"type":"direct"}}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1368,"cache_read_input_tokens":19788,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1368},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"4dcc48a6-a55c-44d2-b148-744a043a22b6","timestamp":"2026-09-29T20:20:25.506Z","request_id":"req_011CfYMKVXZNVoT4BgH4b35S","wire_tool_inputs":{"toolu_01E79pJ4aVhJAvohG8WBFuTY":{"command":"cd /tmp/peerfeed-a21/work-t3-raw; /tmp/peerfeed-a21/venv/bin/python -c \"\nimport duckdb; c=duckdb.connect('btc.duckdb'); c.sql(\\\"set TimeZone='UTC'\\\")\nprint(c.sql(\\\"select count(*), sum(taker_qty<>maker_qty) from read_parquet('/tmp/peerfeed-a21/archive/nado/trades/parquet/*/*/*/*.parquet') where product_id=2\\\").df())\nc.sql('''create or replace table t as\nselect * exclude(rn) from (select *, row_number() over (partition by venue, coalesce(id, ts::varchar||price||qty||side) order by rec) rn from raw)\nwhere rn=1 and ts>='2026-09-21 00:00:00+00' and ts<'2026-09-28 00:00:00+00' ''')\nprint(c.sql('select venue,count(*),sum(notional) from t group by 1 order by 3 desc').df())\nh=c.sql('''select venue, date_trunc('hour',ts) h, count(*) n from t group by 1,2''').df()\np=h.pivot(index='h',columns='venue',values='n')\nprint('hours with no trades per venue:'); print(p.isna().sum()); print(len(p))\nimport pandas as pd; pd.set_option('display.width',250)\nprint(p.fillna(0).astype(int).resample('6h').sum().to_string())\n\""}}} {"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01E79pJ4aVhJAvohG8WBFuTY","type":"tool_result","content":" count_star() sum((taker_qty != maker_qty))\n0 350498 0.0\n venue count_star() sum(notional)\n0 hyperliquid 2406078 2.087198e+10\n1 edgex 826371 2.992776e+09\n2 apex 165722 2.105623e+09\n3 pacifica 85851 1.384059e+09\n4 nado 261857 8.473746e+08\n5 dydx 18509 5.854896e+07\n6 paradex 14404 1.085685e+07\nhours with no trades per venue:\nvenue\napex 0\ndydx 0\nedgex 0\nhyperliquid 0\nnado 0\npacifica 0\nparadex 139\ndtype: int64\n168\nvenue apex dydx edgex hyperliquid nado pacifica paradex\nh \n2026-09-21 00:00:00+00:00 9360 839 35622 90024 14564 3118 1404\n2026-09-21 06:00:00+00:00 12968 1833 51389 197765 15646 6026 4003\n2026-09-21 12:00:00+00:00 8926 1960 55286 213275 15006 4100 4224\n2026-09-21 18:00:00+00:00 5430 1278 39040 110773 10489 3409 3648\n2026-09-22 00:00:00+00:00 4899 682 42597 96500 12202 2671 1125\n2026-09-22 06:00:00+00:00 6397 733 38860 101857 11143 4088 0\n2026-09-22 12:00:00+00:00 7329 1112 42988 112318 12842 4452 0\n2026-09-22 18:00:00+00:00 4281 376 27301 55652 11571 2620 0\n2026-09-23 00:00:00+00:00 5632 621 35935 86335 11028 2954 0\n2026-09-23 06:00:00+00:00 4373 484 35870 82081 9481 2877 0\n2026-09-23 12:00:00+00:00 8494 1396 50475 209323 13892 4978 0\n2026-09-23 18:00:00+00:00 7000 363 25351 58492 7566 2745 0\n2026-09-24 00:00:00+00:00 4271 329 31455 73722 9500 3138 0\n2026-09-24 06:00:00+00:00 5883 767 41122 103432 10884 4610 0\n2026-09-24 12:00:00+00:00 6397 779 42843 144818 12626 5771 0\n2026-09-24 18:00:00+00:00 8150 256 18088 61177 7527 2836 0\n2026-09-25 00:00:00+00:00 5696 397 21179 53688 7456 3289 0\n2026-09-25 06:00:00+00:00 4956 513 31501 77051 9173 3719 0\n2026-09-25 12:00:00+00:00 7142 746 38476 130055 13347 3089 0\n2026-09-25 18:00:00+00:00 4232 214 12916 45006 6360 1729 0\n2026-09-26 00:00:00+00:00 3752 87 10128 27611 3972 1196 0\n2026-09-26 06:00:00+00:00 3863 212 11385 33863 3991 1398 0\n2026-09-26 12:00:00+00:00 3811 399 11569 28703 4500 1318 0\n2026-09-26 18:00:00+00:00 3990 349 11258 36757 3772 1403 0\n2026-09-27 00:00:00+00:00 4011 178 10374 28841 3625 1655 0\n2026-09-27 06:00:00+00:00 4595 510 17884 45700 5824 2664 0\n2026-09-27 12:00:00+00:00 5025 691 20401 53933 7442 2259 0\n2026-09-27 18:00:00+00:00 4859 405 15078 47326 6428 1739 0","is_error":false}]},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"f3591e23-5be7-4afa-b8a2-91676bea15b8","timestamp":"2026-09-29T20:20:26.883Z","tool_use_result":{"stdout":" count_star() sum((taker_qty != maker_qty))\n0 350498 0.0\n venue count_star() sum(notional)\n0 hyperliquid 2406078 2.087198e+10\n1 edgex 826371 2.992776e+09\n2 apex 165722 2.105623e+09\n3 pacifica 85851 1.384059e+09\n4 nado 261857 8.473746e+08\n5 dydx 18509 5.854896e+07\n6 paradex 14404 1.085685e+07\nhours with no trades per venue:\nvenue\napex 0\ndydx 0\nedgex 0\nhyperliquid 0\nnado 0\npacifica 0\nparadex 139\ndtype: int64\n168\nvenue apex dydx edgex hyperliquid nado pacifica paradex\nh \n2026-09-21 00:00:00+00:00 9360 839 35622 90024 14564 3118 1404\n2026-09-21 06:00:00+00:00 12968 1833 51389 197765 15646 6026 4003\n2026-09-21 12:00:00+00:00 8926 1960 55286 213275 15006 4100 4224\n2026-09-21 18:00:00+00:00 5430 1278 39040 110773 10489 3409 3648\n2026-09-22 00:00:00+00:00 4899 682 42597 96500 12202 2671 1125\n2026-09-22 06:00:00+00:00 6397 733 38860 101857 11143 4088 0\n2026-09-22 12:00:00+00:00 7329 1112 42988 112318 12842 4452 0\n2026-09-22 18:00:00+00:00 4281 376 27301 55652 11571 2620 0\n2026-09-23 00:00:00+00:00 5632 621 35935 86335 11028 2954 0\n2026-09-23 06:00:00+00:00 4373 484 35870 82081 9481 2877 0\n2026-09-23 12:00:00+00:00 8494 1396 50475 209323 13892 4978 0\n2026-09-23 18:00:00+00:00 7000 363 25351 58492 7566 2745 0\n2026-09-24 00:00:00+00:00 4271 329 31455 73722 9500 3138 0\n2026-09-24 06:00:00+00:00 5883 767 41122 103432 10884 4610 0\n2026-09-24 12:00:00+00:00 6397 779 42843 144818 12626 5771 0\n2026-09-24 18:00:00+00:00 8150 256 18088 61177 7527 2836 0\n2026-09-25 00:00:00+00:00 5696 397 21179 53688 7456 3289 0\n2026-09-25 06:00:00+00:00 4956 513 31501 77051 9173 3719 0\n2026-09-25 12:00:00+00:00 7142 746 38476 130055 13347 3089 0\n2026-09-25 18:00:00+00:00 4232 214 12916 45006 6360 1729 0\n2026-09-26 00:00:00+00:00 3752 87 10128 27611 3972 1196 0\n2026-09-26 06:00:00+00:00 3863 212 11385 33863 3991 1398 0\n2026-09-26 12:00:00+00:00 3811 399 11569 28703 4500 1318 0\n2026-09-26 18:00:00+00:00 3990 349 11258 36757 3772 1403 0\n2026-09-27 00:00:00+00:00 4011 178 10374 28841 3625 1655 0\n2026-09-27 06:00:00+00:00 4595 510 17884 45700 5824 2664 0\n2026-09-27 12:00:00+00:00 5025 691 20401 53933 7442 2259 0\n2026-09-27 18:00:00+00:00 4859 405 15078 47326 6428 1739 0","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}} {"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"a724ddd1-33e8-43e2-a285-7d378194fdc4"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"853f6ae2-a578-4627-857d-d3e2c6b148d6"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":100,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"563bc7d3-496a-4343-b43c-1bd9d291b913"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":100,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"1cf0e5a9-1345-49f5-9d9d-df283f8afbb2"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":200,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"af82bca3-e336-49b2-af24-3a6dd1aaa0fe"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":600,"estimated_tokens_delta":100,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"8f31a796-fd4f-4a6f-b07a-a64b0e871f27"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMLBMhStRezVmF6s1TE","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2111,"cache_read_input_tokens":21156,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2111},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"471490d2-a0ac-472d-91bb-91f9c9385be0","timestamp":"2026-09-29T20:20:36.089Z","request_id":"req_011CfYMLB2McEyiWEtPai5kL"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMLBMhStRezVmF6s1TE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ND8yWXurvgsLjnbuxwUB3y","name":"Bash","input":{"command":"cd /tmp/peerfeed-a21/work-t3-raw; /tmp/peerfeed-a21/venv/bin/python -c \"\nimport duckdb; c=duckdb.connect('btc.duckdb'); c.sql(\\\"set TimeZone='UTC'\\\")\nprint(c.sql(\\\"select kind,count(*),sum(notional),min(ts),max(ts) from t where venue='paradex' group by 1\\\").df())\nprint(c.sql(\\\"select kind,count(*),sum(notional) from t where venue in ('dydx','pacifica') group by all\\\").df())\n# per-minute close\nc.sql('''create or replace table m as select venue, time_bucket(interval 1 minute, ts) mi, arg_max(price, (ts, rec)) close, count(*) n from t where kind is null or kind not in ('UNWIND_TRANSFER','BLOCK_TRADE') group by 1,2''')\nprint(c.sql('''select venue,count(*) minutes_with_trades from m group by 1''').df())\nc.sql('''create or replace table dev as select m.venue, m.mi, m.close, h.close hl, ln(m.close/h.close)*1e4 bps from m join m h on h.mi=m.mi and h.venue='hyperliquid' ''')\nprint(c.sql('''select venue, median(abs(bps)), quantile_cont(abs(bps),0.99) p99, max(abs(bps)) mx, sum(abs(bps)>50) n50 from dev group by 1''').df())\nprint(c.sql('''select * from dev where abs(bps)>50 order by abs(bps) desc limit 30''').df().to_string())\n\""},"caller":{"type":"direct"}}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2111,"cache_read_input_tokens":21156,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2111},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"8194e983-d0ea-4788-a306-3d5c0a130742","timestamp":"2026-09-29T20:20:40.611Z","request_id":"req_011CfYMLB2McEyiWEtPai5kL","wire_tool_inputs":{"toolu_01ND8yWXurvgsLjnbuxwUB3y":{"command":"cd /tmp/peerfeed-a21/work-t3-raw; /tmp/peerfeed-a21/venv/bin/python -c \"\nimport duckdb; c=duckdb.connect('btc.duckdb'); c.sql(\\\"set TimeZone='UTC'\\\")\nprint(c.sql(\\\"select kind,count(*),sum(notional),min(ts),max(ts) from t where venue='paradex' group by 1\\\").df())\nprint(c.sql(\\\"select kind,count(*),sum(notional) from t where venue in ('dydx','pacifica') group by all\\\").df())\n# per-minute close\nc.sql('''create or replace table m as select venue, time_bucket(interval 1 minute, ts) mi, arg_max(price, (ts, rec)) close, count(*) n from t where kind is null or kind not in ('UNWIND_TRANSFER','BLOCK_TRADE') group by 1,2''')\nprint(c.sql('''select venue,count(*) minutes_with_trades from m group by 1''').df())\nc.sql('''create or replace table dev as select m.venue, m.mi, m.close, h.close hl, ln(m.close/h.close)*1e4 bps from m join m h on h.mi=m.mi and h.venue='hyperliquid' ''')\nprint(c.sql('''select venue, median(abs(bps)), quantile_cont(abs(bps),0.99) p99, max(abs(bps)) mx, sum(abs(bps)>50) n50 from dev group by 1''').df())\nprint(c.sql('''select * from dev where abs(bps)>50 order by abs(bps) desc limit 30''').df().to_string())\n\""}}} {"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\nTraceback (most recent call last):\n File \"\", line 6, in \n_duckdb.ParserException: Parser Error: syntax error at or near \"close\"\n\nLINE 1: ...ucket(interval 1 minute, ts) mi, arg_max(price, (ts, rec)) close, count(*) n from t where kind is null or kind not...\n ^\n kind ... max(ts)\n0 UNWIND_TRANSFER ... 2026-09-21 18:13:30.672000+00:00\n1 BLOCK_TRADE ... 2026-09-21 16:06:48.857000+00:00\n2 RPI ... 2026-09-22 04:25:17.212000+00:00\n3 FILL ... 2026-09-22 04:26:53.112000+00:00\n4 LIQUIDATION ... 2026-09-21 20:26:36.721000+00:00\n\n[5 rows x 5 columns]\n kind count_star() sum(notional)\n0 game_settlement 52 2.166530e+05\n1 LIMIT 18119 5.790068e+07\n2 normal 85603 1.383568e+09\n3 backstop_liquidation 18 4.093407e+04\n4 LIQUIDATED 390 6.482784e+05\n5 market_liquidation 178 2.330783e+05","is_error":true,"tool_use_id":"toolu_01ND8yWXurvgsLjnbuxwUB3y"}]},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"53e5c2fb-91ad-4e41-84d4-893d40f4ca94","timestamp":"2026-09-29T20:20:40.852Z","tool_use_result":"Error: Exit code 1\nTraceback (most recent call last):\n File \"\", line 6, in \n_duckdb.ParserException: Parser Error: syntax error at or near \"close\"\n\nLINE 1: ...ucket(interval 1 minute, ts) mi, arg_max(price, (ts, rec)) close, count(*) n from t where kind is null or kind not...\n ^\n kind ... max(ts)\n0 UNWIND_TRANSFER ... 2026-09-21 18:13:30.672000+00:00\n1 BLOCK_TRADE ... 2026-09-21 16:06:48.857000+00:00\n2 RPI ... 2026-09-22 04:25:17.212000+00:00\n3 FILL ... 2026-09-22 04:26:53.112000+00:00\n4 LIQUIDATION ... 2026-09-21 20:26:36.721000+00:00\n\n[5 rows x 5 columns]\n kind count_star() sum(notional)\n0 game_settlement 52 2.166530e+05\n1 LIMIT 18119 5.790068e+07\n2 normal 85603 1.383568e+09\n3 backstop_liquidation 18 4.093407e+04\n4 LIQUIDATED 390 6.482784e+05\n5 market_liquidation 178 2.330783e+05"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"8d86fe22-da5d-4d0b-b721-0d3be73b3c8a"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":262,"estimated_tokens_delta":212,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"42d18892-d5bf-41a1-b6e7-127a0a57dc70"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMMCzSurFhPFKsVqDJa","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1748,"cache_read_input_tokens":23267,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1748},"output_tokens":7,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"2d90e362-2d3a-4752-b1fb-dc443bffa9f1","timestamp":"2026-09-29T20:20:43.665Z","request_id":"req_011CfYMMCe7zYhUGieX3YZ3S"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMMCzSurFhPFKsVqDJa","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0165CGS3ytSePrSQ8iufm2j2","name":"Bash","input":{"command":"cd /tmp/peerfeed-a21/work-t3-raw; /tmp/peerfeed-a21/venv/bin/python -c \"\nimport duckdb,pandas as pd; pd.set_option('display.width',250); c=duckdb.connect('btc.duckdb'); c.sql(\\\"set TimeZone='UTC'\\\")\nprint(c.sql(\\\"select kind,count(*),sum(notional),min(ts),max(ts) from t where venue='paradex' group by 1\\\").df().to_string())\nprint(c.sql(\\\"select ts,price,qty,side,id from t where venue='pacifica' and kind='game_settlement' limit 8\\\").df())\nc.sql('''create or replace table m as select venue, time_bucket(interval 1 minute, ts) mi, arg_max(price, ts) cl, count(*) n from t where kind is null or kind not in ('UNWIND_TRANSFER','BLOCK_TRADE','game_settlement') group by 1,2''')\nprint(c.sql('''select venue,count(*) minutes_with_trades from m group by 1''').df())\nc.sql('''create or replace table dev as select m.venue, m.mi, m.cl, h.cl hl, ln(m.cl/h.cl)*1e4 bps from m join m h on h.mi=m.mi and h.venue='hyperliquid' ''')\nprint(c.sql('''select venue, median(abs(bps)), quantile_cont(abs(bps),0.99) p99, max(abs(bps)) mx, sum(abs(bps)>50) n50 from dev group by 1''').df())\nprint(c.sql('''select * from dev where abs(bps)>40 order by abs(bps) desc limit 30''').df().to_string())\n\""},"caller":{"type":"direct"}}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1748,"cache_read_input_tokens":23267,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1748},"output_tokens":7,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"14bb28e8-4b6f-471a-8b71-923419fc27dc","timestamp":"2026-09-29T20:20:47.238Z","request_id":"req_011CfYMMCe7zYhUGieX3YZ3S","wire_tool_inputs":{"toolu_0165CGS3ytSePrSQ8iufm2j2":{"command":"cd /tmp/peerfeed-a21/work-t3-raw; /tmp/peerfeed-a21/venv/bin/python -c \"\nimport duckdb,pandas as pd; pd.set_option('display.width',250); c=duckdb.connect('btc.duckdb'); c.sql(\\\"set TimeZone='UTC'\\\")\nprint(c.sql(\\\"select kind,count(*),sum(notional),min(ts),max(ts) from t where venue='paradex' group by 1\\\").df().to_string())\nprint(c.sql(\\\"select ts,price,qty,side,id from t where venue='pacifica' and kind='game_settlement' limit 8\\\").df())\nc.sql('''create or replace table m as select venue, time_bucket(interval 1 minute, ts) mi, arg_max(price, ts) cl, count(*) n from t where kind is null or kind not in ('UNWIND_TRANSFER','BLOCK_TRADE','game_settlement') group by 1,2''')\nprint(c.sql('''select venue,count(*) minutes_with_trades from m group by 1''').df())\nc.sql('''create or replace table dev as select m.venue, m.mi, m.cl, h.cl hl, ln(m.cl/h.cl)*1e4 bps from m join m h on h.mi=m.mi and h.venue='hyperliquid' ''')\nprint(c.sql('''select venue, median(abs(bps)), quantile_cont(abs(bps),0.99) p99, max(abs(bps)) mx, sum(abs(bps)>50) n50 from dev group by 1''').df())\nprint(c.sql('''select * from dev where abs(bps)>40 order by abs(bps) desc limit 30''').df().to_string())\n\""}}} {"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0165CGS3ytSePrSQ8iufm2j2","type":"tool_result","content":" kind count_star() sum(notional) min(ts) max(ts)\n0 BLOCK_TRADE 5 2.942266e+03 2026-09-21 09:14:08.033000+00:00 2026-09-21 16:06:48.857000+00:00\n1 UNWIND_TRANSFER 3 3.137938e+03 2026-09-21 13:19:14.960000+00:00 2026-09-21 18:13:30.672000+00:00\n2 RPI 8186 7.234985e+06 2026-09-21 00:00:12.037000+00:00 2026-09-22 04:25:17.212000+00:00\n3 LIQUIDATION 122 4.267544e+05 2026-09-21 00:12:58.844000+00:00 2026-09-21 20:26:36.721000+00:00\n4 FILL 6088 3.189033e+06 2026-09-21 00:00:08.579000+00:00 2026-09-22 04:26:53.112000+00:00\n ts price qty side id\n0 2026-09-26 11:07:17.814000+00:00 84453.0 0.00118 open_long 285972485\n1 2026-09-24 06:38:17.811000+00:00 85195.0 0.00586 open_long 284318116\n2 2026-09-24 11:28:17.886000+00:00 84668.0 0.00118 open_long 284475639\n3 2026-09-24 11:47:17.801000+00:00 84582.0 0.00923 open_long 284485326\n4 2026-09-23 18:33:17.812000+00:00 85867.0 0.00468 open_long 283946858\n5 2026-09-23 17:17:17.813000+00:00 85554.0 0.00058 open_long 283906665\n6 2026-09-23 16:50:17.811000+00:00 84825.0 0.04805 open_long 283891662\n7 2026-09-23 17:04:17.814000+00:00 84977.0 0.14121 open_long 283899443\n venue minutes_with_trades\n0 paradex 1415\n1 edgex 10080\n2 dydx 4205\n3 apex 10080\n4 hyperliquid 10077\n5 nado 9765\n6 pacifica 9897\n venue median(abs(bps)) p99 mx n50\n0 paradex 5.168788 40.533275 206.686812 14.0\n1 hyperliquid 0.000000 0.000000 0.000000 0.0\n2 nado 3.215894 13.450622 50.845563 1.0\n3 apex 3.162921 14.753627 23.911970 0.0\n4 pacifica 2.733409 13.679764 29.048416 0.0\n5 edgex 4.354602 15.536110 25.772755 0.0\n6 dydx 4.641062 18.298355 36.174075 0.0\n venue mi cl hl bps\n0 paradex 2026-09-21 13:32:00+00:00 83375.8 85117.0 -206.686812\n1 paradex 2026-09-22 01:02:00+00:00 87164.1 85830.0 154.239532\n2 paradex 2026-09-22 00:37:00+00:00 87711.6 86373.0 153.790328\n3 paradex 2026-09-22 00:36:00+00:00 87711.6 86431.0 147.077520\n4 paradex 2026-09-22 00:38:00+00:00 87556.8 86356.0 138.094388\n5 paradex 2026-09-22 00:05:00+00:00 87711.6 86532.0 135.398720\n6 paradex 2026-09-22 01:29:00+00:00 84750.0 85813.0 -124.647639\n7 paradex 2026-09-22 01:30:00+00:00 84750.0 85762.0 -118.702717\n8 paradex 2026-09-21 14:38:00+00:00 86890.0 85962.0 107.376127\n9 paradex 2026-09-22 02:54:00+00:00 84901.0 85740.0 -98.335894\n10 paradex 2026-09-22 02:25:00+00:00 84901.0 85733.0 -97.519439\n11 paradex 2026-09-22 02:40:00+00:00 85090.0 85836.0 -87.289791\n12 paradex 2026-09-22 00:35:00+00:00 87105.2 86462.0 74.115725\n13 paradex 2026-09-21 15:54:00+00:00 86517.4 86023.0 57.308474\n14 nado 2026-09-21 09:32:00+00:00 84355.0 84785.0 -50.845563\n15 paradex 2026-09-21 13:57:00+00:00 85311.7 85660.0 -40.743641","is_error":false}]},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"a80f42be-760e-43e1-9120-446112cdf67a","timestamp":"2026-09-29T20:20:47.634Z","tool_use_result":{"stdout":" kind count_star() sum(notional) min(ts) max(ts)\n0 BLOCK_TRADE 5 2.942266e+03 2026-09-21 09:14:08.033000+00:00 2026-09-21 16:06:48.857000+00:00\n1 UNWIND_TRANSFER 3 3.137938e+03 2026-09-21 13:19:14.960000+00:00 2026-09-21 18:13:30.672000+00:00\n2 RPI 8186 7.234985e+06 2026-09-21 00:00:12.037000+00:00 2026-09-22 04:25:17.212000+00:00\n3 LIQUIDATION 122 4.267544e+05 2026-09-21 00:12:58.844000+00:00 2026-09-21 20:26:36.721000+00:00\n4 FILL 6088 3.189033e+06 2026-09-21 00:00:08.579000+00:00 2026-09-22 04:26:53.112000+00:00\n ts price qty side id\n0 2026-09-26 11:07:17.814000+00:00 84453.0 0.00118 open_long 285972485\n1 2026-09-24 06:38:17.811000+00:00 85195.0 0.00586 open_long 284318116\n2 2026-09-24 11:28:17.886000+00:00 84668.0 0.00118 open_long 284475639\n3 2026-09-24 11:47:17.801000+00:00 84582.0 0.00923 open_long 284485326\n4 2026-09-23 18:33:17.812000+00:00 85867.0 0.00468 open_long 283946858\n5 2026-09-23 17:17:17.813000+00:00 85554.0 0.00058 open_long 283906665\n6 2026-09-23 16:50:17.811000+00:00 84825.0 0.04805 open_long 283891662\n7 2026-09-23 17:04:17.814000+00:00 84977.0 0.14121 open_long 283899443\n venue minutes_with_trades\n0 paradex 1415\n1 edgex 10080\n2 dydx 4205\n3 apex 10080\n4 hyperliquid 10077\n5 nado 9765\n6 pacifica 9897\n venue median(abs(bps)) p99 mx n50\n0 paradex 5.168788 40.533275 206.686812 14.0\n1 hyperliquid 0.000000 0.000000 0.000000 0.0\n2 nado 3.215894 13.450622 50.845563 1.0\n3 apex 3.162921 14.753627 23.911970 0.0\n4 pacifica 2.733409 13.679764 29.048416 0.0\n5 edgex 4.354602 15.536110 25.772755 0.0\n6 dydx 4.641062 18.298355 36.174075 0.0\n venue mi cl hl bps\n0 paradex 2026-09-21 13:32:00+00:00 83375.8 85117.0 -206.686812\n1 paradex 2026-09-22 01:02:00+00:00 87164.1 85830.0 154.239532\n2 paradex 2026-09-22 00:37:00+00:00 87711.6 86373.0 153.790328\n3 paradex 2026-09-22 00:36:00+00:00 87711.6 86431.0 147.077520\n4 paradex 2026-09-22 00:38:00+00:00 87556.8 86356.0 138.094388\n5 paradex 2026-09-22 00:05:00+00:00 87711.6 86532.0 135.398720\n6 paradex 2026-09-22 01:29:00+00:00 84750.0 85813.0 -124.647639\n7 paradex 2026-09-22 01:30:00+00:00 84750.0 85762.0 -118.702717\n8 paradex 2026-09-21 14:38:00+00:00 86890.0 85962.0 107.376127\n9 paradex 2026-09-22 02:54:00+00:00 84901.0 85740.0 -98.335894\n10 paradex 2026-09-22 02:25:00+00:00 84901.0 85733.0 -97.519439\n11 paradex 2026-09-22 02:40:00+00:00 85090.0 85836.0 -87.289791\n12 paradex 2026-09-22 00:35:00+00:00 87105.2 86462.0 74.115725\n13 paradex 2026-09-21 15:54:00+00:00 86517.4 86023.0 57.308474\n14 nado 2026-09-21 09:32:00+00:00 84355.0 84785.0 -50.845563\n15 paradex 2026-09-21 13:57:00+00:00 85311.7 85660.0 -40.743641","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}} 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{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMMhvzmYApp39YXtpkz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VH1fCqmwc9BsD9figAHYfW","name":"Bash","input":{"command":"cd /tmp/peerfeed-a21/work-t3-raw; /tmp/peerfeed-a21/venv/bin/python -c \"\nimport duckdb,pandas as pd; pd.set_option('display.width',250); c=duckdb.connect('btc.duckdb'); c.sql(\\\"set TimeZone='UTC'\\\")\nfor v,a,b in [('paradex','2026-09-21 13:30','2026-09-21 13:35'),('paradex','2026-09-22 00:34','2026-09-22 00:39'),('nado','2026-09-21 09:31','2026-09-21 09:33'),('hyperliquid','2026-09-21 09:31:50','2026-09-21 09:32:10')]:\n print(v,a); print(c.sql(f\\\"select ts,price,qty,notional,side,kind from t where venue='{v}' and ts between '{a}+00' and '{b}+00' order by ts\\\").df().to_string())\n\""},"caller":{"type":"direct"}}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2341,"cache_read_input_tokens":25015,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2341},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"cb204cb7-80bf-4289-8faa-0975716ecce2","timestamp":"2026-09-29T20:20:55.942Z","request_id":"req_011CfYMMhZvNjLK7bapgqJV3","wire_tool_inputs":{"toolu_01VH1fCqmwc9BsD9figAHYfW":{"command":"cd /tmp/peerfeed-a21/work-t3-raw; /tmp/peerfeed-a21/venv/bin/python -c \"\nimport duckdb,pandas as pd; pd.set_option('display.width',250); c=duckdb.connect('btc.duckdb'); c.sql(\\\"set TimeZone='UTC'\\\")\nfor v,a,b in [('paradex','2026-09-21 13:30','2026-09-21 13:35'),('paradex','2026-09-22 00:34','2026-09-22 00:39'),('nado','2026-09-21 09:31','2026-09-21 09:33'),('hyperliquid','2026-09-21 09:31:50','2026-09-21 09:32:10')]:\n print(v,a); print(c.sql(f\\\"select ts,price,qty,notional,side,kind from t where venue='{v}' and ts between '{a}+00' and '{b}+00' order by ts\\\").df().to_string())\n\""}}} {"type":"rate_limit_event","rate_limit_info":{"status":"allowed","resetsAt":1790727000,"rateLimitType":"five_hour","overageStatus":"rejected","overageDisabledReason":"out_of_credits","isUsingOverage":false,"unifiedWindows":{"five_hour":{"utilization":0.19,"resetsAt":1790727000},"seven_day":{"utilization":0.19,"resetsAt":1791036000}}},"uuid":"53e62135-d839-4f96-b855-04092fc7934f","session_id":"6c27d46e-32df-4b55-9190-713561a76858"} {"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\nTraceback (most recent call last):\n File \"\", line 4, in \n_duckdb.ConversionException: Conversion Error: invalid timestamp field format: \"2026-09-21 13:30+00\", expected format is (YYYY-MM-DD HH:MM:SS[.US][±HH[:MM[:SS]]| ZONE])\n\nLINE 1: ..., notional, side, kind FROM t WHERE ((venue = 'paradex') AND (ts BETWEEN '2026-09-21 13:30+00' AND '2026-09-21 13:35+00...\n ^\nparadex 2026-09-21 13:30","is_error":true,"tool_use_id":"toolu_01VH1fCqmwc9BsD9figAHYfW"}]},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"b24a7f1a-570b-471e-b8da-75cd9b221ce2","timestamp":"2026-09-29T20:20:56.173Z","tool_use_result":"Error: Exit code 1\nTraceback (most recent call last):\n File \"\", line 4, in \n_duckdb.ConversionException: Conversion Error: invalid timestamp field format: \"2026-09-21 13:30+00\", expected format is (YYYY-MM-DD HH:MM:SS[.US][±HH[:MM[:SS]]| ZONE])\n\nLINE 1: ..., notional, side, kind FROM t WHERE ((venue = 'paradex') AND (ts BETWEEN '2026-09-21 13:30+00' AND '2026-09-21 13:35+00...\n ^\nparadex 2026-09-21 13:30"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMNLQDe7aTcHGT5EPUU","type":"message","role":"assistant","content":[{"type":"text","text":"Checking a few price outliers on Paradex and Nado against Hyperliquid."}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1064,"cache_read_input_tokens":27356,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1064},"output_tokens":48,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"f923a337-2ab4-4219-aad7-1251a23b9dfc","timestamp":"2026-09-29T20:20:57.263Z","request_id":"req_011CfYMNL393WW7qMdkYB6rx"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMNLQDe7aTcHGT5EPUU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JM916SP9MhbnwAD3Ttg2DS","name":"Bash","input":{"command":"cd /tmp/peerfeed-a21/work-t3-raw; /tmp/peerfeed-a21/venv/bin/python -c \"\nimport duckdb,pandas as pd; pd.set_option('display.width',250); c=duckdb.connect('btc.duckdb'); c.sql(\\\"set TimeZone='UTC'\\\")\nfor v,a,b in [('paradex','2026-09-21 13:30:00','2026-09-21 13:35:00'),('paradex','2026-09-22 00:34:00','2026-09-22 00:39:00'),('nado','2026-09-21 09:31:30','2026-09-21 09:32:59'),('hyperliquid','2026-09-21 09:31:55','2026-09-21 09:32:05')]:\n print(v,a); print(c.sql(f\\\"select ts,price,qty,notional,side,kind from t where venue='{v}' and ts between '{a}+00' and '{b}+00' order by ts limit 40\\\").df().to_string())\n\""},"caller":{"type":"direct"}}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1064,"cache_read_input_tokens":27356,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1064},"output_tokens":48,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"ab2ca0d8-4563-447f-ad4c-f0272a6f696a","timestamp":"2026-09-29T20:20:59.668Z","request_id":"req_011CfYMNL393WW7qMdkYB6rx","wire_tool_inputs":{"toolu_01JM916SP9MhbnwAD3Ttg2DS":{"command":"cd /tmp/peerfeed-a21/work-t3-raw; /tmp/peerfeed-a21/venv/bin/python -c \"\nimport duckdb,pandas as pd; pd.set_option('display.width',250); c=duckdb.connect('btc.duckdb'); c.sql(\\\"set TimeZone='UTC'\\\")\nfor v,a,b in [('paradex','2026-09-21 13:30:00','2026-09-21 13:35:00'),('paradex','2026-09-22 00:34:00','2026-09-22 00:39:00'),('nado','2026-09-21 09:31:30','2026-09-21 09:32:59'),('hyperliquid','2026-09-21 09:31:55','2026-09-21 09:32:05')]:\n print(v,a); print(c.sql(f\\\"select ts,price,qty,notional,side,kind from t where venue='{v}' and ts between '{a}+00' and '{b}+00' order by ts limit 40\\\").df().to_string())\n\""}}} {"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JM916SP9MhbnwAD3Ttg2DS","type":"tool_result","content":"paradex 2026-09-21 13:30:00\n ts price qty notional side kind\n0 2026-09-21 13:30:03.438000+00:00 84949.4 0.00048 40.775712 BUY RPI\n1 2026-09-21 13:30:12.101000+00:00 84712.9 0.00378 320.214762 SELL RPI\n2 2026-09-21 13:30:18.053000+00:00 84928.3 0.00048 40.765584 BUY RPI\n3 2026-09-21 13:30:23.564000+00:00 84925.0 0.00048 40.764000 BUY RPI\n4 2026-09-21 13:30:30.310000+00:00 84948.8 0.00048 40.775424 BUY RPI\n5 2026-09-21 13:30:35.207000+00:00 84964.8 0.00048 40.783104 BUY RPI\n6 2026-09-21 13:30:41.722000+00:00 84997.0 0.00019 16.149430 BUY RPI\n7 2026-09-21 13:30:41.722000+00:00 85004.8 0.00029 24.651392 BUY RPI\n8 2026-09-21 13:30:48.623000+00:00 85040.1 0.00048 40.819248 BUY RPI\n9 2026-09-21 13:30:53.900000+00:00 84990.5 0.00048 40.795440 BUY RPI\n10 2026-09-21 13:30:59.017000+00:00 85031.4 0.00048 40.815072 BUY RPI\n11 2026-09-21 13:31:05.669000+00:00 84973.8 0.00048 40.787424 BUY RPI\n12 2026-09-21 13:31:09.987000+00:00 84896.4 0.00700 594.274800 BUY RPI\n13 2026-09-21 13:31:11.570000+00:00 84867.4 0.01023 868.193502 SELL RPI\n14 2026-09-21 13:31:17.552000+00:00 84821.0 0.02701 2291.015210 SELL RPI\n15 2026-09-21 13:31:22.895000+00:00 84606.2 0.00015 12.690930 SELL FILL\n16 2026-09-21 13:31:22.895000+00:00 84606.2 0.00015 12.690930 SELL FILL\n17 2026-09-21 13:31:22.895000+00:00 83548.4 0.01400 1169.677600 SELL FILL\n18 2026-09-21 13:31:22.895000+00:00 84566.2 0.00019 16.067578 SELL FILL\n19 2026-09-21 13:31:22.895000+00:00 84686.2 0.00024 20.324688 SELL FILL\n20 2026-09-21 13:31:22.895000+00:00 84606.2 0.00015 12.690930 SELL FILL\n21 2026-09-21 13:31:22.895000+00:00 84686.2 0.00024 20.324688 SELL FILL\n22 2026-09-21 13:31:22.895000+00:00 84606.2 0.00015 12.690930 SELL FILL\n23 2026-09-21 13:31:22.895000+00:00 84566.2 0.00019 16.067578 SELL FILL\n24 2026-09-21 13:31:22.895000+00:00 84566.2 0.00019 16.067578 SELL FILL\n25 2026-09-21 13:31:22.895000+00:00 84686.2 0.00012 10.162344 SELL FILL\n26 2026-09-21 13:31:24.182000+00:00 84833.5 0.00955 810.159925 SELL RPI\n27 2026-09-21 13:31:32.973000+00:00 84857.3 0.00565 479.443745 SELL RPI\n28 2026-09-21 13:31:33.035000+00:00 84857.4 0.04159 3529.219266 BUY FILL\n29 2026-09-21 13:31:37.825000+00:00 84922.2 0.00045 38.214990 BUY RPI\n30 2026-09-21 13:31:41.689000+00:00 84937.4 0.04312 3662.500688 BUY FILL\n31 2026-09-21 13:31:43.511000+00:00 84959.9 0.00075 63.719925 BUY RPI\n32 2026-09-21 13:31:50.329000+00:00 84984.5 0.00681 578.744445 BUY RPI\n33 2026-09-21 13:31:50.329000+00:00 84981.8 0.00019 16.146542 BUY RPI\n34 2026-09-21 13:31:57.273000+00:00 85045.2 0.00681 579.157812 BUY FILL\n35 2026-09-21 13:31:57.273000+00:00 84961.1 0.00019 16.142609 BUY RPI\n36 2026-09-21 13:32:02.617000+00:00 85001.6 0.00019 16.150304 BUY RPI\n37 2026-09-21 13:32:10.451000+00:00 85012.8 0.00019 16.152432 BUY RPI\n38 2026-09-21 13:32:17.220000+00:00 85043.8 0.00031 26.363578 BUY RPI\n39 2026-09-21 13:32:22.610000+00:00 84982.4 0.00031 26.344544 BUY RPI\nparadex 2026-09-22 00:34:00\n ts price qty notional side kind\n0 2026-09-22 00:34:02.530000+00:00 86473.4 0.00683 590.613322 SELL RPI\n1 2026-09-22 00:34:05.447000+00:00 86468.1 0.00683 590.577123 SELL RPI\n2 2026-09-22 00:34:12.215000+00:00 86745.2 0.00015 13.011780 BUY FILL\n3 2026-09-22 00:34:12.215000+00:00 86745.2 0.00003 2.602356 BUY FILL\n4 2026-09-22 00:34:18.171000+00:00 86745.2 0.00012 10.409424 BUY FILL\n5 2026-09-22 00:34:42.205000+00:00 86865.2 0.00015 13.029780 BUY FILL\n6 2026-09-22 00:34:42.205000+00:00 86865.2 0.00002 1.737304 BUY FILL\n7 2026-09-22 00:35:07.621000+00:00 86413.8 0.00019 16.418622 SELL FILL\n8 2026-09-22 00:35:07.621000+00:00 86433.8 0.00015 12.965070 SELL FILL\n9 2026-09-22 00:35:12.202000+00:00 86985.2 0.00002 1.739704 BUY FILL\n10 2026-09-22 00:35:12.202000+00:00 86945.2 0.00015 13.041780 BUY FILL\n11 2026-09-22 00:35:42.208000+00:00 87105.2 0.00002 1.742104 BUY FILL\n12 2026-09-22 00:35:42.208000+00:00 87105.2 0.00015 13.065780 BUY FILL\n13 2026-09-22 00:36:12.210000+00:00 87225.2 0.00015 13.083780 BUY FILL\n14 2026-09-22 00:36:12.210000+00:00 87225.2 0.00002 1.744504 BUY FILL\n15 2026-09-22 00:36:42.205000+00:00 87385.2 0.00002 1.747704 BUY FILL\n16 2026-09-22 00:36:42.205000+00:00 87345.2 0.00015 13.101780 BUY FILL\n17 2026-09-22 00:36:45.219000+00:00 87405.2 0.00002 1.748104 BUY FILL\n18 2026-09-22 00:36:45.219000+00:00 87385.2 0.00015 13.107780 BUY FILL\n19 2026-09-22 00:36:45.219000+00:00 87385.2 0.00013 11.360076 BUY FILL\n20 2026-09-22 00:36:50.043000+00:00 87445.2 0.00015 13.116780 BUY FILL\n21 2026-09-22 00:36:50.043000+00:00 87711.6 0.00002 1.754232 BUY FILL\n22 2026-09-22 00:36:52.038000+00:00 87711.6 0.00030 26.313480 BUY FILL\n23 2026-09-22 00:36:55.330000+00:00 87711.6 0.00030 26.313480 BUY FILL\n24 2026-09-22 00:36:57.536000+00:00 87711.6 0.00030 26.313480 BUY FILL\n25 2026-09-22 00:37:04.250000+00:00 87711.6 0.00025 21.927900 BUY FILL\n26 2026-09-22 00:37:12.214000+00:00 87711.6 0.00017 14.910972 BUY FILL\n27 2026-09-22 00:37:42.204000+00:00 87711.6 0.00017 14.910972 BUY FILL\n28 2026-09-22 00:38:12.221000+00:00 87711.6 0.00017 14.910972 BUY FILL\n29 2026-09-22 00:38:13.456000+00:00 87711.6 0.00030 26.313480 BUY FILL\n30 2026-09-22 00:38:42.199000+00:00 87556.8 0.00017 14.884656 BUY FILL\nnado 2026-09-21 09:31:30\n ts price qty notional side kind\n0 2026-09-21 09:31:30.100033+00:00 84445.0 0.02370 2001.34650 false trade\n1 2026-09-21 09:31:30.763112+00:00 84435.0 0.05910 4990.10850 true trade\n2 2026-09-21 09:31:30.763469+00:00 84435.0 0.02090 1764.69150 true trade\n3 2026-09-21 09:31:31.092212+00:00 84447.0 0.06630 5598.83610 true trade\n4 2026-09-21 09:31:31.092212+00:00 84447.0 0.15295 12916.16865 true trade\n5 2026-09-21 09:31:31.092212+00:00 84447.0 0.02370 2001.39390 true trade\n6 2026-09-21 09:31:32.643733+00:00 84446.0 0.02855 2410.93330 false trade\n7 2026-09-21 09:31:33.083025+00:00 84445.0 0.01640 1384.89800 false trade\n8 2026-09-21 09:31:33.084604+00:00 84445.0 0.00060 50.66700 false trade\n9 2026-09-21 09:31:33.752072+00:00 84434.0 0.00295 249.08030 false trade\n10 2026-09-21 09:31:33.932174+00:00 84446.0 0.03315 2799.38490 false trade\n11 2026-09-21 09:31:35.262101+00:00 84453.0 0.05530 4670.25090 true trade\n12 2026-09-21 09:31:35.262101+00:00 84453.0 0.20140 17008.83420 true trade\n13 2026-09-21 09:31:35.262101+00:00 84453.0 0.00145 122.45685 true trade\n14 2026-09-21 09:31:36.423729+00:00 84452.0 0.03180 2685.57360 false trade\n15 2026-09-21 09:32:02.998106+00:00 84420.0 0.00200 168.84000 false trade\n16 2026-09-21 09:32:03.329132+00:00 84405.0 0.00060 50.64300 false trade\n17 2026-09-21 09:32:03.329630+00:00 84405.0 0.00060 50.64300 false trade\n18 2026-09-21 09:32:03.330244+00:00 84405.0 0.00060 50.64300 false trade\n19 2026-09-21 09:32:03.348035+00:00 84405.0 0.02190 1848.46950 false trade\n20 2026-09-21 09:32:03.367098+00:00 84400.0 0.00120 101.28000 false trade\n21 2026-09-21 09:32:03.451100+00:00 84390.0 0.00215 181.43850 false trade\n22 2026-09-21 09:32:03.836729+00:00 84389.0 0.00060 50.63340 false trade\n23 2026-09-21 09:32:04.091081+00:00 84387.0 0.00075 63.29025 false trade\n24 2026-09-21 09:32:04.091415+00:00 84387.0 0.00070 59.07090 false trade\n25 2026-09-21 09:32:04.750065+00:00 84376.0 0.00490 413.44240 false trade\n26 2026-09-21 09:32:04.750065+00:00 84376.0 0.02780 2345.65280 false trade\n27 2026-09-21 09:32:04.750065+00:00 84376.0 0.03290 2775.97040 false trade\n28 2026-09-21 09:32:04.750065+00:00 84376.0 0.00270 227.81520 false trade\n29 2026-09-21 09:32:04.750065+00:00 84376.0 0.02740 2311.90240 false trade\n30 2026-09-21 09:32:04.750065+00:00 84376.0 0.00130 109.68880 false trade\n31 2026-09-21 09:32:04.959298+00:00 84376.0 0.00065 54.84440 false trade\n32 2026-09-21 09:32:05.323348+00:00 84367.0 0.00155 130.76885 false trade\n33 2026-09-21 09:32:05.328036+00:00 84367.0 0.00085 71.71195 false trade\n34 2026-09-21 09:32:06.086059+00:00 84334.0 0.00510 430.10340 false trade\n35 2026-09-21 09:32:06.161094+00:00 84334.0 0.00075 63.25050 false trade\n36 2026-09-21 09:32:08.018046+00:00 84329.0 0.02370 1998.59730 true trade\n37 2026-09-21 09:32:08.991264+00:00 84348.0 0.00630 531.39240 false trade\n38 2026-09-21 09:32:08.991264+00:00 84348.0 0.02370 1999.04760 false trade\n39 2026-09-21 09:32:09.697113+00:00 84343.0 0.02370 1998.92910 true trade\nhyperliquid 2026-09-21 09:31:55\n ts price qty notional side kind\n0 2026-09-21 09:31:55.169000+00:00 84540.0 0.00012 10.14480 A None\n1 2026-09-21 09:31:55.439000+00:00 84570.0 0.00900 761.13000 B None\n2 2026-09-21 09:31:55.439000+00:00 84568.0 0.00416 351.80288 B None\n3 2026-09-21 09:31:55.439000+00:00 84575.0 0.00700 592.02500 B None\n4 2026-09-21 09:31:55.439000+00:00 84549.0 0.00220 186.00780 B None\n5 2026-09-21 09:31:55.439000+00:00 84560.0 0.43811 37046.58160 B None\n6 2026-09-21 09:31:55.439000+00:00 84563.0 0.11818 9993.65534 B None\n7 2026-09-21 09:31:55.439000+00:00 84572.0 0.00900 761.14800 B None\n8 2026-09-21 09:31:55.439000+00:00 84570.0 0.03000 2537.10000 B None\n9 2026-09-21 09:31:55.439000+00:00 84543.0 0.00044 37.19892 B None\n10 2026-09-21 09:31:55.439000+00:00 84568.0 0.00600 507.40800 B None\n11 2026-09-21 09:31:55.439000+00:00 84576.0 0.01000 845.76000 B None\n12 2026-09-21 09:31:55.439000+00:00 84574.0 0.00700 592.01800 B None\n13 2026-09-21 09:31:55.439000+00:00 84566.0 0.00700 591.96200 B None\n14 2026-09-21 09:31:55.439000+00:00 84576.0 0.35191 29763.14016 B None\n15 2026-09-21 09:31:55.573000+00:00 84565.0 0.50000 42282.50000 A None\n16 2026-09-21 09:31:55.573000+00:00 84576.0 0.00019 16.06944 B None\n17 2026-09-21 09:31:55.703000+00:00 84570.0 0.00181 153.07170 A None\n18 2026-09-21 09:31:55.703000+00:00 84574.0 0.00014 11.84036 B None\n19 2026-09-21 09:31:56.041000+00:00 84557.0 0.00015 12.68355 A None\n20 2026-09-21 09:31:56.041000+00:00 84557.0 0.00052 43.96964 A None\n21 2026-09-21 09:31:56.243000+00:00 84555.0 0.00021 17.75655 A None\n22 2026-09-21 09:31:56.444000+00:00 84559.0 0.03550 3001.84450 A None\n23 2026-09-21 09:31:56.586000+00:00 84561.0 0.00100 84.56100 A None\n24 2026-09-21 09:31:56.586000+00:00 84561.0 0.00100 84.56100 A None\n25 2026-09-21 09:31:57.046000+00:00 84565.0 0.00015 12.68475 A None\n26 2026-09-21 09:31:57.046000+00:00 84566.0 0.30461 25759.64926 B None\n27 2026-09-21 09:31:57.046000+00:00 84566.0 0.69539 58806.35074 B None\n28 2026-09-21 09:31:57.121000+00:00 84566.0 0.00568 480.33488 B None\n29 2026-09-21 09:31:57.331000+00:00 84565.0 0.00037 31.28905 A None\n30 2026-09-21 09:31:57.331000+00:00 84566.0 0.00012 10.14792 B None\n31 2026-09-21 09:31:57.852000+00:00 84564.0 0.03400 2875.17600 A None\n32 2026-09-21 09:31:57.852000+00:00 84564.0 0.03400 2875.17600 A None\n33 2026-09-21 09:31:58.490000+00:00 84563.0 0.00012 10.14756 B None\n34 2026-09-21 09:31:58.683000+00:00 84562.0 0.00012 10.14744 A None\n35 2026-09-21 09:31:58.883000+00:00 84562.0 0.03500 2959.67000 A None\n36 2026-09-21 09:31:58.883000+00:00 84563.0 0.02956 2499.68228 B None\n37 2026-09-21 09:31:58.883000+00:00 84562.0 0.03500 2959.67000 A None\n38 2026-09-21 09:31:58.883000+00:00 84562.0 0.03550 3001.95100 A None\n39 2026-09-21 09:31:59.287000+00:00 84563.0 0.04543 3841.69709 B None","is_error":false}]},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"d53b5f8b-6e4f-46f1-b1e9-9be37c91ea0e","timestamp":"2026-09-29T20:20:59.929Z","tool_use_result":{"stdout":"paradex 2026-09-21 13:30:00\n ts price qty notional side kind\n0 2026-09-21 13:30:03.438000+00:00 84949.4 0.00048 40.775712 BUY RPI\n1 2026-09-21 13:30:12.101000+00:00 84712.9 0.00378 320.214762 SELL RPI\n2 2026-09-21 13:30:18.053000+00:00 84928.3 0.00048 40.765584 BUY RPI\n3 2026-09-21 13:30:23.564000+00:00 84925.0 0.00048 40.764000 BUY RPI\n4 2026-09-21 13:30:30.310000+00:00 84948.8 0.00048 40.775424 BUY RPI\n5 2026-09-21 13:30:35.207000+00:00 84964.8 0.00048 40.783104 BUY RPI\n6 2026-09-21 13:30:41.722000+00:00 84997.0 0.00019 16.149430 BUY RPI\n7 2026-09-21 13:30:41.722000+00:00 85004.8 0.00029 24.651392 BUY RPI\n8 2026-09-21 13:30:48.623000+00:00 85040.1 0.00048 40.819248 BUY RPI\n9 2026-09-21 13:30:53.900000+00:00 84990.5 0.00048 40.795440 BUY RPI\n10 2026-09-21 13:30:59.017000+00:00 85031.4 0.00048 40.815072 BUY RPI\n11 2026-09-21 13:31:05.669000+00:00 84973.8 0.00048 40.787424 BUY RPI\n12 2026-09-21 13:31:09.987000+00:00 84896.4 0.00700 594.274800 BUY RPI\n13 2026-09-21 13:31:11.570000+00:00 84867.4 0.01023 868.193502 SELL RPI\n14 2026-09-21 13:31:17.552000+00:00 84821.0 0.02701 2291.015210 SELL RPI\n15 2026-09-21 13:31:22.895000+00:00 84606.2 0.00015 12.690930 SELL FILL\n16 2026-09-21 13:31:22.895000+00:00 84606.2 0.00015 12.690930 SELL FILL\n17 2026-09-21 13:31:22.895000+00:00 83548.4 0.01400 1169.677600 SELL FILL\n18 2026-09-21 13:31:22.895000+00:00 84566.2 0.00019 16.067578 SELL FILL\n19 2026-09-21 13:31:22.895000+00:00 84686.2 0.00024 20.324688 SELL FILL\n20 2026-09-21 13:31:22.895000+00:00 84606.2 0.00015 12.690930 SELL FILL\n21 2026-09-21 13:31:22.895000+00:00 84686.2 0.00024 20.324688 SELL FILL\n22 2026-09-21 13:31:22.895000+00:00 84606.2 0.00015 12.690930 SELL FILL\n23 2026-09-21 13:31:22.895000+00:00 84566.2 0.00019 16.067578 SELL FILL\n24 2026-09-21 13:31:22.895000+00:00 84566.2 0.00019 16.067578 SELL FILL\n25 2026-09-21 13:31:22.895000+00:00 84686.2 0.00012 10.162344 SELL FILL\n26 2026-09-21 13:31:24.182000+00:00 84833.5 0.00955 810.159925 SELL RPI\n27 2026-09-21 13:31:32.973000+00:00 84857.3 0.00565 479.443745 SELL RPI\n28 2026-09-21 13:31:33.035000+00:00 84857.4 0.04159 3529.219266 BUY FILL\n29 2026-09-21 13:31:37.825000+00:00 84922.2 0.00045 38.214990 BUY RPI\n30 2026-09-21 13:31:41.689000+00:00 84937.4 0.04312 3662.500688 BUY FILL\n31 2026-09-21 13:31:43.511000+00:00 84959.9 0.00075 63.719925 BUY RPI\n32 2026-09-21 13:31:50.329000+00:00 84984.5 0.00681 578.744445 BUY RPI\n33 2026-09-21 13:31:50.329000+00:00 84981.8 0.00019 16.146542 BUY RPI\n34 2026-09-21 13:31:57.273000+00:00 85045.2 0.00681 579.157812 BUY FILL\n35 2026-09-21 13:31:57.273000+00:00 84961.1 0.00019 16.142609 BUY RPI\n36 2026-09-21 13:32:02.617000+00:00 85001.6 0.00019 16.150304 BUY RPI\n37 2026-09-21 13:32:10.451000+00:00 85012.8 0.00019 16.152432 BUY RPI\n38 2026-09-21 13:32:17.220000+00:00 85043.8 0.00031 26.363578 BUY RPI\n39 2026-09-21 13:32:22.610000+00:00 84982.4 0.00031 26.344544 BUY RPI\nparadex 2026-09-22 00:34:00\n ts price qty notional side kind\n0 2026-09-22 00:34:02.530000+00:00 86473.4 0.00683 590.613322 SELL RPI\n1 2026-09-22 00:34:05.447000+00:00 86468.1 0.00683 590.577123 SELL RPI\n2 2026-09-22 00:34:12.215000+00:00 86745.2 0.00015 13.011780 BUY FILL\n3 2026-09-22 00:34:12.215000+00:00 86745.2 0.00003 2.602356 BUY FILL\n4 2026-09-22 00:34:18.171000+00:00 86745.2 0.00012 10.409424 BUY FILL\n5 2026-09-22 00:34:42.205000+00:00 86865.2 0.00015 13.029780 BUY FILL\n6 2026-09-22 00:34:42.205000+00:00 86865.2 0.00002 1.737304 BUY FILL\n7 2026-09-22 00:35:07.621000+00:00 86413.8 0.00019 16.418622 SELL FILL\n8 2026-09-22 00:35:07.621000+00:00 86433.8 0.00015 12.965070 SELL FILL\n9 2026-09-22 00:35:12.202000+00:00 86985.2 0.00002 1.739704 BUY FILL\n10 2026-09-22 00:35:12.202000+00:00 86945.2 0.00015 13.041780 BUY FILL\n11 2026-09-22 00:35:42.208000+00:00 87105.2 0.00002 1.742104 BUY FILL\n12 2026-09-22 00:35:42.208000+00:00 87105.2 0.00015 13.065780 BUY FILL\n13 2026-09-22 00:36:12.210000+00:00 87225.2 0.00015 13.083780 BUY FILL\n14 2026-09-22 00:36:12.210000+00:00 87225.2 0.00002 1.744504 BUY FILL\n15 2026-09-22 00:36:42.205000+00:00 87385.2 0.00002 1.747704 BUY FILL\n16 2026-09-22 00:36:42.205000+00:00 87345.2 0.00015 13.101780 BUY FILL\n17 2026-09-22 00:36:45.219000+00:00 87405.2 0.00002 1.748104 BUY FILL\n18 2026-09-22 00:36:45.219000+00:00 87385.2 0.00015 13.107780 BUY FILL\n19 2026-09-22 00:36:45.219000+00:00 87385.2 0.00013 11.360076 BUY FILL\n20 2026-09-22 00:36:50.043000+00:00 87445.2 0.00015 13.116780 BUY FILL\n21 2026-09-22 00:36:50.043000+00:00 87711.6 0.00002 1.754232 BUY FILL\n22 2026-09-22 00:36:52.038000+00:00 87711.6 0.00030 26.313480 BUY FILL\n23 2026-09-22 00:36:55.330000+00:00 87711.6 0.00030 26.313480 BUY FILL\n24 2026-09-22 00:36:57.536000+00:00 87711.6 0.00030 26.313480 BUY FILL\n25 2026-09-22 00:37:04.250000+00:00 87711.6 0.00025 21.927900 BUY FILL\n26 2026-09-22 00:37:12.214000+00:00 87711.6 0.00017 14.910972 BUY FILL\n27 2026-09-22 00:37:42.204000+00:00 87711.6 0.00017 14.910972 BUY FILL\n28 2026-09-22 00:38:12.221000+00:00 87711.6 0.00017 14.910972 BUY FILL\n29 2026-09-22 00:38:13.456000+00:00 87711.6 0.00030 26.313480 BUY FILL\n30 2026-09-22 00:38:42.199000+00:00 87556.8 0.00017 14.884656 BUY FILL\nnado 2026-09-21 09:31:30\n ts price qty notional side kind\n0 2026-09-21 09:31:30.100033+00:00 84445.0 0.02370 2001.34650 false trade\n1 2026-09-21 09:31:30.763112+00:00 84435.0 0.05910 4990.10850 true trade\n2 2026-09-21 09:31:30.763469+00:00 84435.0 0.02090 1764.69150 true trade\n3 2026-09-21 09:31:31.092212+00:00 84447.0 0.06630 5598.83610 true trade\n4 2026-09-21 09:31:31.092212+00:00 84447.0 0.15295 12916.16865 true trade\n5 2026-09-21 09:31:31.092212+00:00 84447.0 0.02370 2001.39390 true trade\n6 2026-09-21 09:31:32.643733+00:00 84446.0 0.02855 2410.93330 false trade\n7 2026-09-21 09:31:33.083025+00:00 84445.0 0.01640 1384.89800 false trade\n8 2026-09-21 09:31:33.084604+00:00 84445.0 0.00060 50.66700 false trade\n9 2026-09-21 09:31:33.752072+00:00 84434.0 0.00295 249.08030 false trade\n10 2026-09-21 09:31:33.932174+00:00 84446.0 0.03315 2799.38490 false trade\n11 2026-09-21 09:31:35.262101+00:00 84453.0 0.05530 4670.25090 true trade\n12 2026-09-21 09:31:35.262101+00:00 84453.0 0.20140 17008.83420 true trade\n13 2026-09-21 09:31:35.262101+00:00 84453.0 0.00145 122.45685 true trade\n14 2026-09-21 09:31:36.423729+00:00 84452.0 0.03180 2685.57360 false trade\n15 2026-09-21 09:32:02.998106+00:00 84420.0 0.00200 168.84000 false trade\n16 2026-09-21 09:32:03.329132+00:00 84405.0 0.00060 50.64300 false trade\n17 2026-09-21 09:32:03.329630+00:00 84405.0 0.00060 50.64300 false trade\n18 2026-09-21 09:32:03.330244+00:00 84405.0 0.00060 50.64300 false trade\n19 2026-09-21 09:32:03.348035+00:00 84405.0 0.02190 1848.46950 false trade\n20 2026-09-21 09:32:03.367098+00:00 84400.0 0.00120 101.28000 false trade\n21 2026-09-21 09:32:03.451100+00:00 84390.0 0.00215 181.43850 false trade\n22 2026-09-21 09:32:03.836729+00:00 84389.0 0.00060 50.63340 false trade\n23 2026-09-21 09:32:04.091081+00:00 84387.0 0.00075 63.29025 false trade\n24 2026-09-21 09:32:04.091415+00:00 84387.0 0.00070 59.07090 false trade\n25 2026-09-21 09:32:04.750065+00:00 84376.0 0.00490 413.44240 false trade\n26 2026-09-21 09:32:04.750065+00:00 84376.0 0.02780 2345.65280 false trade\n27 2026-09-21 09:32:04.750065+00:00 84376.0 0.03290 2775.97040 false trade\n28 2026-09-21 09:32:04.750065+00:00 84376.0 0.00270 227.81520 false trade\n29 2026-09-21 09:32:04.750065+00:00 84376.0 0.02740 2311.90240 false trade\n30 2026-09-21 09:32:04.750065+00:00 84376.0 0.00130 109.68880 false trade\n31 2026-09-21 09:32:04.959298+00:00 84376.0 0.00065 54.84440 false trade\n32 2026-09-21 09:32:05.323348+00:00 84367.0 0.00155 130.76885 false trade\n33 2026-09-21 09:32:05.328036+00:00 84367.0 0.00085 71.71195 false trade\n34 2026-09-21 09:32:06.086059+00:00 84334.0 0.00510 430.10340 false trade\n35 2026-09-21 09:32:06.161094+00:00 84334.0 0.00075 63.25050 false trade\n36 2026-09-21 09:32:08.018046+00:00 84329.0 0.02370 1998.59730 true trade\n37 2026-09-21 09:32:08.991264+00:00 84348.0 0.00630 531.39240 false trade\n38 2026-09-21 09:32:08.991264+00:00 84348.0 0.02370 1999.04760 false trade\n39 2026-09-21 09:32:09.697113+00:00 84343.0 0.02370 1998.92910 true trade\nhyperliquid 2026-09-21 09:31:55\n ts price qty notional side kind\n0 2026-09-21 09:31:55.169000+00:00 84540.0 0.00012 10.14480 A None\n1 2026-09-21 09:31:55.439000+00:00 84570.0 0.00900 761.13000 B None\n2 2026-09-21 09:31:55.439000+00:00 84568.0 0.00416 351.80288 B None\n3 2026-09-21 09:31:55.439000+00:00 84575.0 0.00700 592.02500 B None\n4 2026-09-21 09:31:55.439000+00:00 84549.0 0.00220 186.00780 B None\n5 2026-09-21 09:31:55.439000+00:00 84560.0 0.43811 37046.58160 B None\n6 2026-09-21 09:31:55.439000+00:00 84563.0 0.11818 9993.65534 B None\n7 2026-09-21 09:31:55.439000+00:00 84572.0 0.00900 761.14800 B None\n8 2026-09-21 09:31:55.439000+00:00 84570.0 0.03000 2537.10000 B None\n9 2026-09-21 09:31:55.439000+00:00 84543.0 0.00044 37.19892 B None\n10 2026-09-21 09:31:55.439000+00:00 84568.0 0.00600 507.40800 B None\n11 2026-09-21 09:31:55.439000+00:00 84576.0 0.01000 845.76000 B None\n12 2026-09-21 09:31:55.439000+00:00 84574.0 0.00700 592.01800 B None\n13 2026-09-21 09:31:55.439000+00:00 84566.0 0.00700 591.96200 B None\n14 2026-09-21 09:31:55.439000+00:00 84576.0 0.35191 29763.14016 B None\n15 2026-09-21 09:31:55.573000+00:00 84565.0 0.50000 42282.50000 A None\n16 2026-09-21 09:31:55.573000+00:00 84576.0 0.00019 16.06944 B None\n17 2026-09-21 09:31:55.703000+00:00 84570.0 0.00181 153.07170 A None\n18 2026-09-21 09:31:55.703000+00:00 84574.0 0.00014 11.84036 B None\n19 2026-09-21 09:31:56.041000+00:00 84557.0 0.00015 12.68355 A None\n20 2026-09-21 09:31:56.041000+00:00 84557.0 0.00052 43.96964 A None\n21 2026-09-21 09:31:56.243000+00:00 84555.0 0.00021 17.75655 A None\n22 2026-09-21 09:31:56.444000+00:00 84559.0 0.03550 3001.84450 A None\n23 2026-09-21 09:31:56.586000+00:00 84561.0 0.00100 84.56100 A None\n24 2026-09-21 09:31:56.586000+00:00 84561.0 0.00100 84.56100 A None\n25 2026-09-21 09:31:57.046000+00:00 84565.0 0.00015 12.68475 A None\n26 2026-09-21 09:31:57.046000+00:00 84566.0 0.30461 25759.64926 B None\n27 2026-09-21 09:31:57.046000+00:00 84566.0 0.69539 58806.35074 B None\n28 2026-09-21 09:31:57.121000+00:00 84566.0 0.00568 480.33488 B None\n29 2026-09-21 09:31:57.331000+00:00 84565.0 0.00037 31.28905 A None\n30 2026-09-21 09:31:57.331000+00:00 84566.0 0.00012 10.14792 B None\n31 2026-09-21 09:31:57.852000+00:00 84564.0 0.03400 2875.17600 A None\n32 2026-09-21 09:31:57.852000+00:00 84564.0 0.03400 2875.17600 A None\n33 2026-09-21 09:31:58.490000+00:00 84563.0 0.00012 10.14756 B None\n34 2026-09-21 09:31:58.683000+00:00 84562.0 0.00012 10.14744 A None\n35 2026-09-21 09:31:58.883000+00:00 84562.0 0.03500 2959.67000 A None\n36 2026-09-21 09:31:58.883000+00:00 84563.0 0.02956 2499.68228 B None\n37 2026-09-21 09:31:58.883000+00:00 84562.0 0.03500 2959.67000 A None\n38 2026-09-21 09:31:58.883000+00:00 84562.0 0.03550 3001.95100 A None\n39 2026-09-21 09:31:59.287000+00:00 84563.0 0.04543 3841.69709 B None","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}} {"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"88813376-0543-41bc-bbca-4cdf4f9d8fcd"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"1b59d944-34cf-41ad-8d84-b7cf5265c112"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":100,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"925d541e-a16b-4c5d-8cbf-7e0a8762f403"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":200,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"f7d43272-7c17-4893-bd56-afe8094ad91f"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":100,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"baf7fb37-1c8a-4b1b-91fb-574f4028c385"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":650,"estimated_tokens_delta":150,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"3d0c1a65-70d9-40a2-a0c8-6bd0c77953a4"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":800,"estimated_tokens_delta":150,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"dabbd829-71c1-4cab-a7e0-104be00afd12"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":900,"estimated_tokens_delta":100,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"e745b406-6584-4426-bceb-4e763c12188b"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":1050,"estimated_tokens_delta":150,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"ecd731e3-d79c-4443-ab2f-64298eaf663c"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMNcYKZLQa47C9BF14g","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":7135,"cache_read_input_tokens":28420,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":7135},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"e9ab988e-835e-4aa5-a0c3-6848beb39f77","timestamp":"2026-09-29T20:21:14.829Z","request_id":"req_011CfYMNcDEWum79SS4Y2Dix"} {"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMNcYKZLQa47C9BF14g","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D8u55zPMVpgUAUS1eYpqWD","name":"Bash","input":{"command":"cd /tmp/peerfeed-a21/work-t3-raw; cat > vol.py <<'EOF'\nimport duckdb,pandas as pd,numpy as np; pd.set_option('display.width',250)\nc=duckdb.connect('btc.duckdb'); c.sql(\"set TimeZone='UTC'\")\nprint(c.sql(\"select max(abs(notional-price*qty)/notional) from t where venue='edgex'\").df())\nprint(c.sql(\"select venue, median(bps) signed_med from dev group by 1\").df())\n# notional\nn=c.sql(\"\"\"select venue, sum(notional) usd, count(*) trades from t\n where not (venue='paradex' and kind='UNWIND_TRANSFER') and not (venue='pacifica' and kind='game_settlement') group by 1\"\"\").df().set_index('venue')\nn['share']=n.usd/n.usd.sum()\nex=n.drop('paradex'); n['share_ex_paradex']=ex.usd/ex.usd.sum()\nprint(n.sort_values('usd',ascending=False)); print('total',n.usd.sum())\nm=c.sql(\"select venue,mi,cl from m\").df()\ngrid=pd.date_range('2026-09-21',periods=10080,freq='1min',tz='UTC')\nA=525600\ndef rv(s,g):\n s=s.reindex(g).ffill().dropna()\n r=np.log(s).diff().dropna()\n return np.sqrt((r**2).sum()*A/len(r)), r.std()*np.sqrt(A), len(r)\nout=[]\npdx_end=pd.Timestamp('2026-09-22 04:27',tz='UTC')\ng2=grid[grid vol.py <<'EOF'\nimport duckdb,pandas as pd,numpy as np; pd.set_option('display.width',250)\nc=duckdb.connect('btc.duckdb'); c.sql(\"set TimeZone='UTC'\")\nprint(c.sql(\"select max(abs(notional-price*qty)/notional) from t where venue='edgex'\").df())\nprint(c.sql(\"select venue, median(bps) signed_med from dev group by 1\").df())\n# notional\nn=c.sql(\"\"\"select venue, sum(notional) usd, count(*) trades from t\n where not (venue='paradex' and kind='UNWIND_TRANSFER') and not (venue='pacifica' and kind='game_settlement') group by 1\"\"\").df().set_index('venue')\nn['share']=n.usd/n.usd.sum()\nex=n.drop('paradex'); n['share_ex_paradex']=ex.usd/ex.usd.sum()\nprint(n.sort_values('usd',ascending=False)); print('total',n.usd.sum())\nm=c.sql(\"select venue,mi,cl from m\").df()\ngrid=pd.date_range('2026-09-21',periods=10080,freq='1min',tz='UTC')\nA=525600\ndef rv(s,g):\n s=s.reindex(g).ffill().dropna()\n r=np.log(s).diff().dropna()\n return np.sqrt((r**2).sum()*A/len(r)), r.std()*np.sqrt(A), len(r)\nout=[]\npdx_end=pd.Timestamp('2026-09-22 04:27',tz='UTC')\ng2=grid[grid> vol.py <<'EOF'\nprint('--- paradex window 2026-09-21 00:00 to 09-22 04:27')\nfor v,d in m.groupby('venue'):\n s=d.set_index('mi').cl.sort_index().reindex(g2).ffill()\n out2=[]\n for k in (1,5,15):\n r=np.log(s[::k]).diff().dropna(); out2.append(np.sqrt((r**2).sum()*A/k/len(r)))\n r1=np.log(s).diff().dropna(); ac=r1.autocorr(1)\n print(v, [round(x,3) for x in out2], 'lag1 autocorr',round(ac,3), 'minutes traded', d[d.mi&1 | sed -n '/paradex window/,$p'"},"caller":{"type":"direct"}}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2686,"cache_read_input_tokens":35555,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2686},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"a58d13f8-7c93-414e-a0cc-bfafbf6be533","timestamp":"2026-09-29T20:21:31.432Z","request_id":"req_011CfYMQDa1iJqPQaC2tz3pf","wire_tool_inputs":{"toolu_01C9zwGMD8NUKHWZuTWsKLPG":{"command":"cd /tmp/peerfeed-a21/work-t3-raw; cat >> vol.py <<'EOF'\nprint('--- paradex window 2026-09-21 00:00 to 09-22 04:27')\nfor v,d in m.groupby('venue'):\n s=d.set_index('mi').cl.sort_index().reindex(g2).ffill()\n out2=[]\n for k in (1,5,15):\n r=np.log(s[::k]).diff().dropna(); out2.append(np.sqrt((r**2).sum()*A/k/len(r)))\n r1=np.log(s).diff().dropna(); ac=r1.autocorr(1)\n print(v, [round(x,3) for x in out2], 'lag1 autocorr',round(ac,3), 'minutes traded', d[d.mi&1 | sed -n '/paradex window/,$p'"}}} {"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01C9zwGMD8NUKHWZuTWsKLPG","type":"tool_result","content":"--- paradex window 2026-09-21 00:00 to 09-22 04:27\napex [np.float64(0.525), np.float64(0.503), np.float64(0.487)] lag1 autocorr -0.07 minutes traded 1707\ndydx [np.float64(0.561), np.float64(0.529), np.float64(0.495)] lag1 autocorr -0.037 minutes traded 1053\nedgex [np.float64(0.52), np.float64(0.507), np.float64(0.485)] lag1 autocorr -0.045 minutes traded 1707\nhyperliquid [np.float64(0.519), np.float64(0.511), np.float64(0.492)] lag1 autocorr -0.04 minutes traded 1707\nnado [np.float64(0.507), np.float64(0.497), np.float64(0.478)] lag1 autocorr -0.021 minutes traded 1707\npacifica [np.float64(0.522), np.float64(0.507), np.float64(0.489)] lag1 autocorr -0.051 minutes traded 1689\nparadex [np.float64(1.165), np.float64(0.785), np.float64(0.578)] lag1 autocorr -0.282 minutes traded 1415\n--- full week lag-1 autocorr of 1m returns\napex -0.002\ndydx 0.002\nedgex 0.02\nhyperliquid 0.023\nnado 0.043\npacifica 0.03\nparadex -0.282","is_error":false}]},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"6034f4ae-fdd4-49d5-b2e0-1ce6a87cb70e","timestamp":"2026-09-29T20:21:31.757Z","tool_use_result":{"stdout":"--- paradex window 2026-09-21 00:00 to 09-22 04:27\napex [np.float64(0.525), np.float64(0.503), np.float64(0.487)] lag1 autocorr -0.07 minutes traded 1707\ndydx [np.float64(0.561), np.float64(0.529), np.float64(0.495)] lag1 autocorr -0.037 minutes traded 1053\nedgex [np.float64(0.52), np.float64(0.507), np.float64(0.485)] lag1 autocorr -0.045 minutes traded 1707\nhyperliquid [np.float64(0.519), np.float64(0.511), np.float64(0.492)] lag1 autocorr -0.04 minutes traded 1707\nnado [np.float64(0.507), np.float64(0.497), np.float64(0.478)] lag1 autocorr -0.021 minutes traded 1707\npacifica [np.float64(0.522), np.float64(0.507), np.float64(0.489)] lag1 autocorr -0.051 minutes traded 1689\nparadex [np.float64(1.165), np.float64(0.785), np.float64(0.578)] lag1 autocorr -0.282 minutes traded 1415\n--- full week lag-1 autocorr of 1m returns\napex -0.002\ndydx 0.002\nedgex 0.02\nhyperliquid 0.023\nnado 0.043\npacifica 0.03\nparadex -0.282","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}} {"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"c8d01615-fdf6-4f74-aa4f-de351b58619a"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"8f7d91eb-f65a-4c0d-8de0-d8bed28c37da"} {"type":"system","subtype":"thinking_tokens","estimated_tokens":364,"estimated_tokens_delta":214,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"fcecf1cd-decd-4673-a974-ea94e108abe4"} 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{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMQxsFS2jHBnL4324aU","type":"message","role":"assistant","content":[{"type":"text","text":"Hyperliquid carries about 74% of the seven venues' BTC‑perp notional. Realised vol agrees across six of the seven venues, at 36–40% annualised. Paradex is the exception: the archive has only about 28 of the 168 hours for it, and its 1‑minute vol on those hours is about double the other venues'.\n\n## Traded notional, 2026‑09‑21 00:00 to 2026‑09‑28 00:00 UTC\n\n| Venue (market) | Trades | Notional (USD) | Share of 7‑venue total |\n|---|---|---|---|\n| Hyperliquid (BTC) | 2,406,078 | $20.872bn | 73.83% |\n| edgeX (BTCUSDC) | 826,371 | $2.993bn | 10.59% |\n| ApeX (BTCUSDT) | 165,722 | $2.106bn | 7.45% |\n| Pacifica (BTC) | 85,799 | $1.384bn | 4.89% |\n| Nado (product 2, BTC perp) | 261,857 | $0.847bn | 3.00% |\n| dYdX (BTC‑USD) | 18,509 | $58.5m | 0.21% |\n| Paradex (BTC‑USD‑PERP) | 14,401 | $10.85m | 0.04% (only ~17% of the week covered) |\n| **Total** | | **$28.271bn** | 100% |\n\n**The Paradex figure is incomplete.** The archive has no Paradex files from 2026‑09‑22 06:00 to 09‑28 14:00, and its last trade in the window is at 09‑22 04:27 UTC. Scaling the covered hours up to a full week gives roughly $64m, or about 0.23% share. That estimate is weak because 21 September was a busier‑than‑average day. Leaving Paradex out changes the other venues' shares by less than 0.03 percentage points.\n\n## Realised vol of 1‑minute log returns, annualised\n\nMethod: the last trade price in each minute on a 10,080‑minute grid, carried forward through minutes with no trades. Realised vol is √(Σr² × 525,600 / N), using 24/7 annualisation. Computing it as a sample standard deviation gives the same numbers.\n\n| Venue | Vol, full week | Vol, 09‑21 00:00 to 09‑22 04:27 (the hours Paradex covers) | Vol from 5‑min returns, full week | Minutes with a trade |\n|---|---|---|---|---|\n| Hyperliquid | 36.7% | 51.9% | 37.6% | 10,077 / 10,080 |\n| edgeX | 36.5% | 52.0% | 37.1% | 10,080 |\n| ApeX | 37.3% | 52.5% | 37.3% | 10,080 |\n| Pacifica | 35.9% | 52.2% | 36.8% | 9,897 |\n| Nado | 35.8% | 50.7% | 37.1% | 9,765 |\n| dYdX | 39.9% | 56.1% | 39.7% | 4,205 |\n| Paradex | n/a (see below) | **116.5%** | — | 1,415 in its ~1,707 covered minutes |\n\n**Is it consistent?** Yes for the five liquid venues: 35.8–37.3%, within about ±2% of each other, which is what you'd expect when they all price the same asset. There are two outliers:\n\n1. **Paradex is a data artefact, not real volatility.**\n - **Its week figure can't be used.** Filling six missing days with a flat price would give 48% with this method, which means nothing. I report it only on the hours it covers.\n - **Even there it is about 2.2× the rest** (116.5% against about 52% on other venues over the same hours). The cause is a very thin book: trades of about $10–$40, some of which walk the book. For example, fills printed at 87,712 while Hyperliquid was around 86,400, and a 0.014 BTC sell went through at 83,548. Last‑trade prices were up to 207 bp away from Hyperliquid.\n - **The pattern is bid‑ask bounce and noise.** Consecutive 1‑minute returns are strongly negatively correlated (−0.28, against about 0 elsewhere). Paradex's vol falls sharply as the sampling interval lengthens: 116% at 1 minute, 79% at 5 minutes and 58% at 15 minutes. At 15 minutes it is close to the other venues' 48–50%.\n2. **dYdX is modestly high, by about 9%** (39.9% against 36.7% on Hyperliquid). It trades in only 42% of minutes, with small tickets on a wider market. Its last trade therefore jumps between bid and ask and catches up to the market in steps. The gap narrows at longer horizons: on the Paradex‑window hours it goes from 56% at 1 minute to 50% at 15 minutes, against 49% for Hyperliquid.\n\nVol on 1‑minute last‑trade prices is not reliable for venues that trade this thinly. Hyperliquid, edgeX or ApeX give the representative figure, about 36–37% annualised for the week.\n\n## Data cleaning\n\n- **Timestamps:** all times are converted to UTC. The files are split by recording time, not trade time, so I selected trades by their own timestamp and read the files on each side of the window.\n- **Duplicates:** consecutive files overlap, so I removed repeated trade IDs: dYdX 19.8k (it had about 3 copies of each trade), ApeX 5.2k, edgeX 65, Hyperliquid 28. Nado has no trade ID, so I matched on time, price, quantity and side (22 repeats, all where two files overlap).\n\n## FINAL ANSWER\n\n**Traded notional and share, 2026‑09‑21 00:00 to 09‑28 00:00 UTC:**\n- Hyperliquid: $20.872bn, 73.83%\n- edgeX: $2.993bn, 10.59%\n- ApeX: $2.106bn, 7.45%\n- Pacifica: $1.384bn, 4.89%\n- Nado: $0.847bn, 3.00%\n- dYdX: $58.5m, 0.21%\n- Paradex: $10.85m, 0.04% (only about 28 of 168 hours in the archive; about $64m and 0.23% if scaled to a full week)\n- Total: $28.271bn\n\n**Realised vol of 1‑minute log returns, annualised (√525,600):**\n- Hyperliquid: 36.7%\n- edgeX: 36.5%\n- ApeX: 37.3%\n- Pacifica: 35.9%\n- Nado: 35.8%\n- dYdX: 39.9%\n- Paradex: 116.5%, measured only on its covered hours (09‑21 00:00 to 09‑22 04:27). The other venues are about 51–56% over those same hours.\n\n**Consistency:** the five liquid venues agree within about ±2% (35.8–37.3%). The outliers are Paradex and dYdX, whose 1‑minute last‑trade prices on thin books are inflated by bid‑ask bounce and noise. Paradex shows a −0.28 correlation between consecutive returns and falls to 58% at 15‑minute sampling. dYdX is about 9% high and trades in only 42% of minutes. Paradex's week total is also incomplete because of the missing archive files.\n\n**Judgement calls:**\n1. **Markets:** I used Hyperliquid main BTC (not the HIP‑3 BTC markets), edgeX contract 30000001, ApeX BTCUSDT, Pacifica BTC, dYdX BTC‑USD, Paradex BTC‑USD‑PERP and Nado product 2. Nado product 1 is BTC spot, so I left it out.\n2. **Currency:** ApeX is quoted in USDT, and I counted it one‑for‑one as USD because the archive has no USDT/USD rate.\n3. **Nado units:** prices and quantities are stored scaled up by 10¹⁸, and I divided that out. I used the taker quantity, which always equals the maker quantity.\n4. **Paradex:** I counted normal fills, RPI fills, liquidations and block trades as notional. I left out the 3 unwind transfers because they are position transfers, not trades. Block trades are also left out of vol.\n5. **Pacifica:** I left out 52 \"game_settlement\" rows ($0.22m), which are not order‑book trades. Liquidations are included everywhere.\n6. **Duplicates** were removed as described in the data‑cleaning section.\n7. **Paradex figures:** because of the archive gap, its notional is the observed amount and its vol uses only the covered window, rather than scaling up or filling six days with a flat price.\n8. **Vol method:** minutes with no trades carry the last price forward, and the vol is computed with no mean subtracted.\n\nMy working files, `load.py`, `vol.py` and `btc.duckdb`, are in `/tmp/peerfeed-a21/work-t3-raw`."}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1447,"cache_read_input_tokens":38241,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1447},"output_tokens":6,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"6c27d46e-32df-4b55-9190-713561a76858","uuid":"f308651e-1d21-45b1-9ec2-d42774bf2000","timestamp":"2026-09-29T20:22:04.332Z","request_id":"req_011CfYMQxXAEcccS5U8wdzga"} {"duration_api_ms":146794,"stop_reason":"end_turn","session_id":"6c27d46e-32df-4b55-9190-713561a76858","total_cost_usd":0.6506122000000001,"usage":{"input_tokens":30,"cache_creation_input_tokens":38153,"cache_read_input_tokens":275341,"output_tokens":14510,"output_tokens_details":{"thinking_tokens":4607},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":38153,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":3352,"cache_read_input_tokens":38241,"cache_creation_input_tokens":1447,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1447},"type":"message"}],"speed":"standard"},"modelUsage":{"claude-opus-5-5":{"inputTokens":30,"outputTokens":14510,"cacheReadInputTokens":275341,"cacheCreationInputTokens":38153,"webSearchRequests":0,"costUSD":0.6506122000000001,"contextWindow":1000000,"maxOutputTokens":128000,"thinkingTokens":4607,"canonicalModel":"claude-opus-5-5","provider":"firstParty","costBasis":"list"}},"permission_denials":[],"terminal_reason":"completed","fast_mode_state":"off","fast_mode_disabled_reason":"sdk_opt_in_required","subagent_stats":{"spawned":0,"requested":{"background":0,"foreground":0,"unset":0},"started_in_background":0,"max_depth":0,"spawned_by_subagents":0,"completed":0,"failed":0,"killed":{"parent":0,"user":0,"system":0},"refused":{"depth_limit":0,"concurrency_limit":0,"budget":0},"by_type":{}},"is_error":false,"num_turns":15,"subtype":"success","api_error_status":null,"result":"Hyperliquid carries about 74% of the seven venues' BTC‑perp notional. Realised vol agrees across six of the seven venues, at 36–40% annualised. Paradex is the exception: the archive has only about 28 of the 168 hours for it, and its 1‑minute vol on those hours is about double the other venues'.\n\n## Traded notional, 2026‑09‑21 00:00 to 2026‑09‑28 00:00 UTC\n\n| Venue (market) | Trades | Notional (USD) | Share of 7‑venue total |\n|---|---|---|---|\n| Hyperliquid (BTC) | 2,406,078 | $20.872bn | 73.83% |\n| edgeX (BTCUSDC) | 826,371 | $2.993bn | 10.59% |\n| ApeX (BTCUSDT) | 165,722 | $2.106bn | 7.45% |\n| Pacifica (BTC) | 85,799 | $1.384bn | 4.89% |\n| Nado (product 2, BTC perp) | 261,857 | $0.847bn | 3.00% |\n| dYdX (BTC‑USD) | 18,509 | $58.5m | 0.21% |\n| Paradex (BTC‑USD‑PERP) | 14,401 | $10.85m | 0.04% (only ~17% of the week covered) |\n| **Total** | | **$28.271bn** | 100% |\n\n**The Paradex figure is incomplete.** The archive has no Paradex files from 2026‑09‑22 06:00 to 09‑28 14:00, and its last trade in the window is at 09‑22 04:27 UTC. Scaling the covered hours up to a full week gives roughly $64m, or about 0.23% share. That estimate is weak because 21 September was a busier‑than‑average day. Leaving Paradex out changes the other venues' shares by less than 0.03 percentage points.\n\n## Realised vol of 1‑minute log returns, annualised\n\nMethod: the last trade price in each minute on a 10,080‑minute grid, carried forward through minutes with no trades. Realised vol is √(Σr² × 525,600 / N), using 24/7 annualisation. Computing it as a sample standard deviation gives the same numbers.\n\n| Venue | Vol, full week | Vol, 09‑21 00:00 to 09‑22 04:27 (the hours Paradex covers) | Vol from 5‑min returns, full week | Minutes with a trade |\n|---|---|---|---|---|\n| Hyperliquid | 36.7% | 51.9% | 37.6% | 10,077 / 10,080 |\n| edgeX | 36.5% | 52.0% | 37.1% | 10,080 |\n| ApeX | 37.3% | 52.5% | 37.3% | 10,080 |\n| Pacifica | 35.9% | 52.2% | 36.8% | 9,897 |\n| Nado | 35.8% | 50.7% | 37.1% | 9,765 |\n| dYdX | 39.9% | 56.1% | 39.7% | 4,205 |\n| Paradex | n/a (see below) | **116.5%** | — | 1,415 in its ~1,707 covered minutes |\n\n**Is it consistent?** Yes for the five liquid venues: 35.8–37.3%, within about ±2% of each other, which is what you'd expect when they all price the same asset. There are two outliers:\n\n1. **Paradex is a data artefact, not real volatility.**\n - **Its week figure can't be used.** Filling six missing days with a flat price would give 48% with this method, which means nothing. I report it only on the hours it covers.\n - **Even there it is about 2.2× the rest** (116.5% against about 52% on other venues over the same hours). The cause is a very thin book: trades of about $10–$40, some of which walk the book. For example, fills printed at 87,712 while Hyperliquid was around 86,400, and a 0.014 BTC sell went through at 83,548. Last‑trade prices were up to 207 bp away from Hyperliquid.\n - **The pattern is bid‑ask bounce and noise.** Consecutive 1‑minute returns are strongly negatively correlated (−0.28, against about 0 elsewhere). Paradex's vol falls sharply as the sampling interval lengthens: 116% at 1 minute, 79% at 5 minutes and 58% at 15 minutes. At 15 minutes it is close to the other venues' 48–50%.\n2. **dYdX is modestly high, by about 9%** (39.9% against 36.7% on Hyperliquid). It trades in only 42% of minutes, with small tickets on a wider market. Its last trade therefore jumps between bid and ask and catches up to the market in steps. The gap narrows at longer horizons: on the Paradex‑window hours it goes from 56% at 1 minute to 50% at 15 minutes, against 49% for Hyperliquid.\n\nVol on 1‑minute last‑trade prices is not reliable for venues that trade this thinly. Hyperliquid, edgeX or ApeX give the representative figure, about 36–37% annualised for the week.\n\n## Data cleaning\n\n- **Timestamps:** all times are converted to UTC. The files are split by recording time, not trade time, so I selected trades by their own timestamp and read the files on each side of the window.\n- **Duplicates:** consecutive files overlap, so I removed repeated trade IDs: dYdX 19.8k (it had about 3 copies of each trade), ApeX 5.2k, edgeX 65, Hyperliquid 28. Nado has no trade ID, so I matched on time, price, quantity and side (22 repeats, all where two files overlap).\n\n## FINAL ANSWER\n\n**Traded notional and share, 2026‑09‑21 00:00 to 09‑28 00:00 UTC:**\n- Hyperliquid: $20.872bn, 73.83%\n- edgeX: $2.993bn, 10.59%\n- ApeX: $2.106bn, 7.45%\n- Pacifica: $1.384bn, 4.89%\n- Nado: $0.847bn, 3.00%\n- dYdX: $58.5m, 0.21%\n- Paradex: $10.85m, 0.04% (only about 28 of 168 hours in the archive; about $64m and 0.23% if scaled to a full week)\n- Total: $28.271bn\n\n**Realised vol of 1‑minute log returns, annualised (√525,600):**\n- Hyperliquid: 36.7%\n- edgeX: 36.5%\n- ApeX: 37.3%\n- Pacifica: 35.9%\n- Nado: 35.8%\n- dYdX: 39.9%\n- Paradex: 116.5%, measured only on its covered hours (09‑21 00:00 to 09‑22 04:27). The other venues are about 51–56% over those same hours.\n\n**Consistency:** the five liquid venues agree within about ±2% (35.8–37.3%). The outliers are Paradex and dYdX, whose 1‑minute last‑trade prices on thin books are inflated by bid‑ask bounce and noise. Paradex shows a −0.28 correlation between consecutive returns and falls to 58% at 15‑minute sampling. dYdX is about 9% high and trades in only 42% of minutes. Paradex's week total is also incomplete because of the missing archive files.\n\n**Judgement calls:**\n1. **Markets:** I used Hyperliquid main BTC (not the HIP‑3 BTC markets), edgeX contract 30000001, ApeX BTCUSDT, Pacifica BTC, dYdX BTC‑USD, Paradex BTC‑USD‑PERP and Nado product 2. Nado product 1 is BTC spot, so I left it out.\n2. **Currency:** ApeX is quoted in USDT, and I counted it one‑for‑one as USD because the archive has no USDT/USD rate.\n3. **Nado units:** prices and quantities are stored scaled up by 10¹⁸, and I divided that out. I used the taker quantity, which always equals the maker quantity.\n4. **Paradex:** I counted normal fills, RPI fills, liquidations and block trades as notional. I left out the 3 unwind transfers because they are position transfers, not trades. Block trades are also left out of vol.\n5. **Pacifica:** I left out 52 \"game_settlement\" rows ($0.22m), which are not order‑book trades. Liquidations are included everywhere.\n6. **Duplicates** were removed as described in the data‑cleaning section.\n7. **Paradex figures:** because of the archive gap, its notional is the observed amount and its vol uses only the covered window, rather than scaling up or filling six days with a flat price.\n8. **Vol method:** minutes with no trades carry the last price forward, and the vol is computed with no mean subtracted.\n\nMy working files, `load.py`, `vol.py` and `btc.duckdb`, are in `/tmp/peerfeed-a21/work-t3-raw`.","ttft_ms":1538,"type":"result","duration_ms":154487,"uuid":"7ad35cd3-c97d-4f58-85d3-b9774c13838b","ttft_stream_ms":859,"time_to_request_ms":20,"first_content_frame_ms":859,"queued_turn_count":0,"result_index":0}