{"type":"system","subtype":"init","cwd":"/tmp/peerfeed-a21/work-t2-raw","session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","tools":["Bash"],"mcp_servers":[],"model":"claude-opus-5-5","permissionMode":"bypassPermissions","slash_commands":["deep-research","design","design-sync","dataviz","update-config","verify","debug","code-review","simplify","batch","fewer-permission-prompts","doctor","loop","schedule","claude-api","workflow-authoring","run","run-skill-generator","advisor","agents","auto-mode-setup","autocompact","clear","color","compact","config","output-style","context","effort","fast","focus","heapdump","init","mcp","import","model","__remote-workflow","workflow-launch-exec","reload-plugins","reload-skills","rename","ultrareview","security-review","usage-credits","extra-usage","usage","insights","recap","skill-doctor","goal","design-consent","design-revoke","list-agents","team-onboarding"],"terminal_slash_commands":["doctor","color","focus","reload-plugins"],"apiKeySource":"none","claude_code_version":"2.1.284","output_style":"default","agents":["claude","Explore","general-purpose","Plan","statusline-setup"],"skills":["deep-research","design","design-sync","dataviz","update-config","verify","debug","code-review","simplify","batch","fewer-permission-prompts","doctor","loop","schedule","claude-api","workflow-authoring","run","run-skill-generator"],"plugins":[{"name":"agents-md","path":"builtin","source":"agents-md@builtin"},{"name":"telemetry","path":"builtin","source":"telemetry@builtin"}],"capabilities":["interrupt_receipt_v1","interrupt_cancel_queued_v1","msg_lifecycle_v1","mcp_read_resource_v1","mcp_tool_ui_meta_v1"],"analytics_disabled":false,"product_feedback_disabled":false,"uuid":"c6da268e-6736-4bae-abfe-2176caabee99","memory_paths":{"auto":"~/.claude/projects/-tmp-peerfeed-a21-work-t2-raw/memory/"},"messaging_socket_path":"/run/user/1000/cc-socks/3067226.sock","fast_mode_state":"off","fast_mode_disabled_reason":"sdk_opt_in_required","per_turn_effort_active":true,"view_mode":"default"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYM9UupchN2dBbLn8UCG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VTXKFfse9RWyAvfheoq1vv","name":"Bash","input":{"command":"cd /tmp/peerfeed-a21/archive; find . | head -100; find . -type f | wc -l; find . -name \"*.md\" -o -name \"*.txt\" -o -name \"*.json\" | head"},"caller":{"type":"direct"}}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":841,"cache_read_input_tokens":1535,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":841},"output_tokens":17,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"c67ccfa2-a8ed-4e41-9d6b-e37ba89e2286","timestamp":"2026-09-29T20:18:04.315Z","request_id":"req_011CfYM9UaUntbqQLNWaZaG3","wire_tool_inputs":{"toolu_01VTXKFfse9RWyAvfheoq1vv":{"command":"cd /tmp/peerfeed-a21/archive; find . | head -100; find . -type f | wc -l; find . -name \"*.md\" -o -name \"*.txt\" -o -name \"*.json\" | head"}}}
{"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":0.17,"resetsAt":1790727000},"seven_day":{"utilization":0.19,"resetsAt":1791036000}}},"uuid":"d937302b-eca4-49ac-b70f-f152fc599e6b","session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VTXKFfse9RWyAvfheoq1vv","type":"tool_result","content":".\n./apex\n./dydx\n./paradex\n./pacifica\n./edgex\n./extended\n./hyperliquid\n./nado\n./apex/trades\n./dydx/trades\n./paradex/trades\n./pacifica/trades\n./pacifica/prices\n./edgex/trades\n./edgex/ticker\n./extended/funding\n./hyperliquid/trades\n./hyperliquid/activeAssetCtx\n./nado/funding_rate\n./nado/trades\n./extended/funding/parquet\n./hyperliquid/trades/parquet\n./hyperliquid/activeAssetCtx/parquet\n./nado/funding_rate/parquet\n./nado/trades/parquet\n./apex/trades/parquet\n./dydx/trades/parquet\n./paradex/trades/parquet\n./pacifica/trades/parquet\n./pacifica/prices/parquet\n./edgex/trades/parquet\n./edgex/ticker/parquet\n./extended/funding/parquet/2026\n./hyperliquid/trades/parquet/2026\n./hyperliquid/activeAssetCtx/parquet/2026\n./nado/funding_rate/parquet/2026\n./nado/trades/parquet/2026\n./apex/trades/parquet/2026\n./dydx/trades/parquet/2026\n./paradex/trades/parquet/2026\n./pacifica/trades/parquet/2026\n./pacifica/prices/parquet/2026\n./edgex/trades/parquet/2026\n./edgex/ticker/parquet/2026\n./extended/funding/parquet/2026/09\n./hyperliquid/trades/parquet/2026/09\n./hyperliquid/activeAssetCtx/parquet/2026/09\n./nado/funding_rate/parquet/2026/09\n./nado/trades/parquet/2026/09\n./extended/funding/parquet/2026/09/27\n./extended/funding/parquet/2026/09/22\n./extended/funding/parquet/2026/09/26\n./extended/funding/parquet/2026/09/20\n./extended/funding/parquet/2026/09/23\n./extended/funding/parquet/2026/09/24\n./extended/funding/parquet/2026/09/21\n./extended/funding/parquet/2026/09/28\n./extended/funding/parquet/2026/09/25\n./hyperliquid/trades/parquet/2026/09/27\n./hyperliquid/trades/parquet/2026/09/22\n./hyperliquid/trades/parquet/2026/09/26\n./hyperliquid/trades/parquet/2026/09/20\n./hyperliquid/trades/parquet/2026/09/23\n./hyperliquid/trades/parquet/2026/09/24\n./hyperliquid/trades/parquet/2026/09/21\n./hyperliquid/trades/parquet/2026/09/28\n./hyperliquid/trades/parquet/2026/09/25\n./hyperliquid/activeAssetCtx/parquet/2026/09/27\n./hyperliquid/activeAssetCtx/parquet/2026/09/22\n./hyperliquid/activeAssetCtx/parquet/2026/09/26\n./hyperliquid/activeAssetCtx/parquet/2026/09/20\n./hyperliquid/activeAssetCtx/parquet/2026/09/23\n./hyperliquid/activeAssetCtx/parquet/2026/09/24\n./hyperliquid/activeAssetCtx/parquet/2026/09/21\n./hyperliquid/activeAssetCtx/parquet/2026/09/28\n./hyperliquid/activeAssetCtx/parquet/2026/09/25\n./nado/funding_rate/parquet/2026/09/27\n./nado/funding_rate/parquet/2026/09/22\n./nado/funding_rate/parquet/2026/09/26\n./nado/funding_rate/parquet/2026/09/20\n./nado/funding_rate/parquet/2026/09/23\n./nado/funding_rate/parquet/2026/09/24\n./nado/funding_rate/parquet/2026/09/21\n./nado/funding_rate/parquet/2026/09/28\n./nado/funding_rate/parquet/2026/09/25\n./nado/trades/parquet/2026/09/27\n./nado/trades/parquet/2026/09/22\n./nado/trades/parquet/2026/09/26\n./nado/trades/parquet/2026/09/20\n./nado/trades/parquet/2026/09/23\n./nado/trades/parquet/2026/09/24\n./nado/trades/parquet/2026/09/21\n./nado/trades/parquet/2026/09/28\n./nado/trades/parquet/2026/09/25\n./apex/trades/parquet/2026/09\n./dydx/trades/parquet/2026/09\n./paradex/trades/parquet/2026/09\n./pacifica/trades/parquet/2026/09\n./pacifica/prices/parquet/2026/09\n1220\nShell cwd was reset to /tmp/peerfeed-a21/work-t2-raw","is_error":false}]},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"98e1c620-d1e2-43b8-9ee9-73454f070290","timestamp":"2026-09-29T20:18:04.367Z","tool_use_result":{"stdout":".\n./apex\n./dydx\n./paradex\n./pacifica\n./edgex\n./extended\n./hyperliquid\n./nado\n./apex/trades\n./dydx/trades\n./paradex/trades\n./pacifica/trades\n./pacifica/prices\n./edgex/trades\n./edgex/ticker\n./extended/funding\n./hyperliquid/trades\n./hyperliquid/activeAssetCtx\n./nado/funding_rate\n./nado/trades\n./extended/funding/parquet\n./hyperliquid/trades/parquet\n./hyperliquid/activeAssetCtx/parquet\n./nado/funding_rate/parquet\n./nado/trades/parquet\n./apex/trades/parquet\n./dydx/trades/parquet\n./paradex/trades/parquet\n./pacifica/trades/parquet\n./pacifica/prices/parquet\n./edgex/trades/parquet\n./edgex/ticker/parquet\n./extended/funding/parquet/2026\n./hyperliquid/trades/parquet/2026\n./hyperliquid/activeAssetCtx/parquet/2026\n./nado/funding_rate/parquet/2026\n./nado/trades/parquet/2026\n./apex/trades/parquet/2026\n./dydx/trades/parquet/2026\n./paradex/trades/parquet/2026\n./pacifica/trades/parquet/2026\n./pacifica/prices/parquet/2026\n./edgex/trades/parquet/2026\n./edgex/ticker/parquet/2026\n./extended/funding/parquet/2026/09\n./hyperliquid/trades/parquet/2026/09\n./hyperliquid/activeAssetCtx/parquet/2026/09\n./nado/funding_rate/parquet/2026/09\n./nado/trades/parquet/2026/09\n./extended/funding/parquet/2026/09/27\n./extended/funding/parquet/2026/09/22\n./extended/funding/parquet/2026/09/26\n./extended/funding/parquet/2026/09/20\n./extended/funding/parquet/2026/09/23\n./extended/funding/parquet/2026/09/24\n./extended/funding/parquet/2026/09/21\n./extended/funding/parquet/2026/09/28\n./extended/funding/parquet/2026/09/25\n./hyperliquid/trades/parquet/2026/09/27\n./hyperliquid/trades/parquet/2026/09/22\n./hyperliquid/trades/parquet/2026/09/26\n./hyperliquid/trades/parquet/2026/09/20\n./hyperliquid/trades/parquet/2026/09/23\n./hyperliquid/trades/parquet/2026/09/24\n./hyperliquid/trades/parquet/2026/09/21\n./hyperliquid/trades/parquet/2026/09/28\n./hyperliquid/trades/parquet/2026/09/25\n./hyperliquid/activeAssetCtx/parquet/2026/09/27\n./hyperliquid/activeAssetCtx/parquet/2026/09/22\n./hyperliquid/activeAssetCtx/parquet/2026/09/26\n./hyperliquid/activeAssetCtx/parquet/2026/09/20\n./hyperliquid/activeAssetCtx/parquet/2026/09/23\n./hyperliquid/activeAssetCtx/parquet/2026/09/24\n./hyperliquid/activeAssetCtx/parquet/2026/09/21\n./hyperliquid/activeAssetCtx/parquet/2026/09/28\n./hyperliquid/activeAssetCtx/parquet/2026/09/25\n./nado/funding_rate/parquet/2026/09/27\n./nado/funding_rate/parquet/2026/09/22\n./nado/funding_rate/parquet/2026/09/26\n./nado/funding_rate/parquet/2026/09/20\n./nado/funding_rate/parquet/2026/09/23\n./nado/funding_rate/parquet/2026/09/24\n./nado/funding_rate/parquet/2026/09/21\n./nado/funding_rate/parquet/2026/09/28\n./nado/funding_rate/parquet/2026/09/25\n./nado/trades/parquet/2026/09/27\n./nado/trades/parquet/2026/09/22\n./nado/trades/parquet/2026/09/26\n./nado/trades/parquet/2026/09/20\n./nado/trades/parquet/2026/09/23\n./nado/trades/parquet/2026/09/24\n./nado/trades/parquet/2026/09/21\n./nado/trades/parquet/2026/09/28\n./nado/trades/parquet/2026/09/25\n./apex/trades/parquet/2026/09\n./dydx/trades/parquet/2026/09\n./paradex/trades/parquet/2026/09\n./pacifica/trades/parquet/2026/09\n./pacifica/prices/parquet/2026/09\n1220","stderr":"\nShell cwd was reset to /tmp/peerfeed-a21/work-t2-raw","interrupted":false,"isImage":false,"noOutputExpected":false}}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYM9fucQ3uWBzCDWr1gs","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AhtknSWZXsTjbiLpAmKMCJ","name":"Bash","input":{"command":"cd /tmp/peerfeed-a21/archive; for v in hyperliquid edgex apex pacifica dydx; do echo == $v; ls $v/trades/parquet/2026/09/27 | head; ls $v/trades/parquet/2026/09/27 | wc -l; ls $v/trades/parquet/2026/09/26 | head -3; done; find . -type f ! -name \"*.parquet\" | head"},"caller":{"type":"direct"}}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1827,"cache_read_input_tokens":2376,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1827},"output_tokens":16,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"f9cc3e86-5181-4c31-b210-92fee58fe31a","timestamp":"2026-09-29T20:18:06.389Z","request_id":"req_011CfYM9fY3X9irgUgRa7Zga","wire_tool_inputs":{"toolu_01AhtknSWZXsTjbiLpAmKMCJ":{"command":"cd /tmp/peerfeed-a21/archive; for v in hyperliquid edgex apex pacifica dydx; do echo == $v; ls $v/trades/parquet/2026/09/27 | head; ls $v/trades/parquet/2026/09/27 | wc -l; ls $v/trades/parquet/2026/09/26 | head -3; done; find . -type f ! -name \"*.parquet\" | head"}}}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AhtknSWZXsTjbiLpAmKMCJ","type":"tool_result","content":"== hyperliquid\n00-02.parquet\n02-04.parquet\n04-06.parquet\n06-08.parquet\n08-10.parquet\n10-12.parquet\n12-14.parquet\n14-16.parquet\n16-18.parquet\n18-20.parquet\n12\n00-02.parquet\n02-04.parquet\n04-06.parquet\n== edgex\n00-02.parquet\n02-04.parquet\n04-06.parquet\n06-08.parquet\n08-10.parquet\n10-12.parquet\n12-14.parquet\n14-16.parquet\n16-18.parquet\n18-20.parquet\n12\n00-02.parquet\n02-04.parquet\n04-06.parquet\n== apex\n00-02.parquet\n02-04.parquet\n04-06.parquet\n06-08.parquet\n08-10.parquet\n10-12.parquet\n12-14.parquet\n14-16.parquet\n16-18.parquet\n18-20.parquet\n12\n00-02.parquet\n02-04.parquet\n04-06.parquet\n== pacifica\n00-02.parquet\n02-04.parquet\n04-06.parquet\n06-08.parquet\n08-10.parquet\n10-12.parquet\n12-14.parquet\n14-16.parquet\n16-18.parquet\n18-20.parquet\n12\n00-02.parquet\n02-04.parquet\n04-06.parquet\n== dydx\n00-02.parquet\n02-04.parquet\n04-06.parquet\n06-08.parquet\n08-10.parquet\n10-12.parquet\n12-14.parquet\n14-16.parquet\n16-18.parquet\n18-20.parquet\n12\n00-02.parquet\n02-04.parquet\n04-06.parquet\nShell cwd was reset to /tmp/peerfeed-a21/work-t2-raw","is_error":false}]},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"0674fce6-7694-400e-a476-0eb826a0907c","timestamp":"2026-09-29T20:18:06.414Z","tool_use_result":{"stdout":"== hyperliquid\n00-02.parquet\n02-04.parquet\n04-06.parquet\n06-08.parquet\n08-10.parquet\n10-12.parquet\n12-14.parquet\n14-16.parquet\n16-18.parquet\n18-20.parquet\n12\n00-02.parquet\n02-04.parquet\n04-06.parquet\n== edgex\n00-02.parquet\n02-04.parquet\n04-06.parquet\n06-08.parquet\n08-10.parquet\n10-12.parquet\n12-14.parquet\n14-16.parquet\n16-18.parquet\n18-20.parquet\n12\n00-02.parquet\n02-04.parquet\n04-06.parquet\n== apex\n00-02.parquet\n02-04.parquet\n04-06.parquet\n06-08.parquet\n08-10.parquet\n10-12.parquet\n12-14.parquet\n14-16.parquet\n16-18.parquet\n18-20.parquet\n12\n00-02.parquet\n02-04.parquet\n04-06.parquet\n== pacifica\n00-02.parquet\n02-04.parquet\n04-06.parquet\n06-08.parquet\n08-10.parquet\n10-12.parquet\n12-14.parquet\n14-16.parquet\n16-18.parquet\n18-20.parquet\n12\n00-02.parquet\n02-04.parquet\n04-06.parquet\n== dydx\n00-02.parquet\n02-04.parquet\n04-06.parquet\n06-08.parquet\n08-10.parquet\n10-12.parquet\n12-14.parquet\n14-16.parquet\n16-18.parquet\n18-20.parquet\n12\n00-02.parquet\n02-04.parquet\n04-06.parquet","stderr":"\nShell cwd was reset to /tmp/peerfeed-a21/work-t2-raw","interrupted":false,"isImage":false,"noOutputExpected":false}}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYM9pcEhECBnKUpZkZKF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014M5BMLLTgbM77sCHJNRLuJ","name":"Bash","input":{"command":"cd /tmp/peerfeed-a21/archive; P=/tmp/peerfeed-a21/venv/bin/python; $P -c \"\nimport duckdb\nfor v in ['hyperliquid','edgex','apex','pacifica','dydx']:\n    g=f'{v}/trades/parquet/2026/09/27/*.parquet'\n    print('==',v)\n    print(duckdb.sql(f\\\"describe select * from read_parquet('{g}')\\\").df()[['column_name','column_type']].to_string())\n    print(duckdb.sql(f\\\"select * from read_parquet('{g}') limit 3\\\").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":803,"cache_read_input_tokens":4203,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":803},"output_tokens":16,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"4d506bc2-2473-4636-950a-d7adefdec4be","timestamp":"2026-09-29T20:18:09.001Z","request_id":"req_011CfYM9pGee25tU641amJR2","wire_tool_inputs":{"toolu_014M5BMLLTgbM77sCHJNRLuJ":{"command":"cd /tmp/peerfeed-a21/archive; P=/tmp/peerfeed-a21/venv/bin/python; $P -c \"\nimport duckdb\nfor v in ['hyperliquid','edgex','apex','pacifica','dydx']:\n    g=f'{v}/trades/parquet/2026/09/27/*.parquet'\n    print('==',v)\n    print(duckdb.sql(f\\\"describe select * from read_parquet('{g}')\\\").df()[['column_name','column_type']].to_string())\n    print(duckdb.sql(f\\\"select * from read_parquet('{g}') limit 3\\\").df().to_string())\n\""}}}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014M5BMLLTgbM77sCHJNRLuJ","type":"tool_result","content":"== hyperliquid\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        coin side         px        sz                             time                                                                hash              tid                                                                                     users                      recorded_at\n0        TAO    A  321.75000     0.032 2026-09-27 01:58:59.772000+02:00  0x7d48c022c93347397ec20445481cd901e600d8086436660b21116b7588372124  328399079171261  [0x4ef66df2067c588eb98896ede3a8e80f85aff085, 0x38f96bba487a628d2a84afc3fe5c7d77eb07cb04] 2026-09-27 01:59:00.054000+02:00\n1        NIL    A    0.10401  8882.000 2026-09-27 01:58:59.772000+02:00  0x17a1d2ec9610c242191b0445481cd901e400ead23113e114bb6a7e3f55149c2c  772434366847256  [0x8184405076b61ab78013f16393322eaf0d0a01a1, 0xbb828515677729c4db2f790a52cf14b1c659e19f] 2026-09-27 01:59:00.054000+02:00\n2  xyz:SHEIN    A    4.53360     2.400 2026-09-27 01:58:59.772000+02:00  0x6110fe607c2c189b628a0445481cd901ed001646172f376d04d9a9b33b2ff286  743643697789906  [0x33ad48ed92e3e91a98278f0f7456eae6eafa516e, 0x11ec18ffa0559dc4701168fc0348477417df23d9] 2026-09-27 01:59:00.060000+02:00\n== edgex\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                               ticketId                             time     price   size     value        takerOrderId        makerOrderId      takerAccountId      makerAccountId  contractId contractName  isBestMatch  isBuyerMaker                      recorded_at\n0  27cae54b-5344-463e-9494-872c07b986e5 2026-09-27 01:59:00.071000+02:00  84394.50  0.005  421.9725  798877087459968406  798877087459967382  682137798040678998  689460913991158962    30000001      BTCUSDC         True          True 2026-09-27 01:59:00.196000+02:00\n1  71cdb22b-129f-4cae-be43-679b1bb7a415 2026-09-27 01:59:00.553000+02:00    263.53  0.510  134.4003  798877089485817649  798877089485816625  670462573470574782  689326752872066727    30000077     MRVLUSDC         True          True 2026-09-27 01:59:00.670000+02:00\n2  ed7763b4-0114-47c9-b5a7-4801491d9afd 2026-09-27 01:59:00.554000+02:00   1770.60  0.050   88.5300  798877089485817456  798877089485816432  684713256153791006  686789603503575167    30000034     SNDKUSDC         True         False 2026-09-27 01:59:00.670000+02:00\n== apex\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                                 T            s  S_1      v        p          L                                     i                      recorded_at\n0 2026-09-26 10:13:36.801000+02:00  CASHCATUSDT  Buy  229.0  0.18590  MinusTick  4191875c-dbdd-5682-948a-b76360c960d1 2026-09-27 01:59:05.748000+02:00\n1 2026-09-26 10:51:23.802000+02:00  CASHCATUSDT  Buy  234.0  0.18200  MinusTick  af752a07-927c-5048-abf4-e72d73ee1179 2026-09-27 01:59:05.748000+02:00\n2 2026-09-26 11:11:41.801000+02:00  CASHCATUSDT  Buy  234.0  0.18136  MinusTick  0ab51958-8060-5d86-80ec-91616b625882 2026-09-27 01:59:05.748000+02:00\n== pacifica\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           h    s     a         p            d      tc                                t           li  it                      recorded_at\n0  286347936  LIT  0.10   4.85220  close_short  normal 2026-09-27 01:59:00.370000+02:00  13314198732   0 2026-09-27 01:59:00.492000+02:00\n1  286347938   CL  0.01  94.32000  close_short  normal 2026-09-27 01:59:00.501000+02:00  13314198769   0 2026-09-27 01:59:00.630000+02:00\n2  286347944  ADA  0.10   0.25424  close_short  normal 2026-09-27 01:59:01.497000+02:00  13314198984   0 2026-09-27 01:59:01.622000+02:00\n== dydx\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                         id   size   price  side                        createdAt   type   market\n0  06616fda0000000200000002  0.001  2697.5  SELL 2026-09-27 01:59:01.222000+02:00  LIMIT  ETH-USD\n1  06616fdd0000000200000002  1.500  2697.5  SELL 2026-09-27 01:59:03.295000+02:00  LIMIT  ETH-USD\n2  06616fdf0000000200000002  0.001  2697.5  SELL 2026-09-27 01:59:04.563000+02:00  LIMIT  ETH-USD\nShell cwd was reset to /tmp/peerfeed-a21/work-t2-raw","is_error":false}]},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"d639289e-dc80-4ca7-9c1b-64674ba88a89","timestamp":"2026-09-29T20:18:09.490Z","tool_use_result":{"stdout":"== hyperliquid\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        coin side         px        sz                             time                                                                hash              tid                                                                                     users                      recorded_at\n0        TAO    A  321.75000     0.032 2026-09-27 01:58:59.772000+02:00  0x7d48c022c93347397ec20445481cd901e600d8086436660b21116b7588372124  328399079171261  [0x4ef66df2067c588eb98896ede3a8e80f85aff085, 0x38f96bba487a628d2a84afc3fe5c7d77eb07cb04] 2026-09-27 01:59:00.054000+02:00\n1        NIL    A    0.10401  8882.000 2026-09-27 01:58:59.772000+02:00  0x17a1d2ec9610c242191b0445481cd901e400ead23113e114bb6a7e3f55149c2c  772434366847256  [0x8184405076b61ab78013f16393322eaf0d0a01a1, 0xbb828515677729c4db2f790a52cf14b1c659e19f] 2026-09-27 01:59:00.054000+02:00\n2  xyz:SHEIN    A    4.53360     2.400 2026-09-27 01:58:59.772000+02:00  0x6110fe607c2c189b628a0445481cd901ed001646172f376d04d9a9b33b2ff286  743643697789906  [0x33ad48ed92e3e91a98278f0f7456eae6eafa516e, 0x11ec18ffa0559dc4701168fc0348477417df23d9] 2026-09-27 01:59:00.060000+02:00\n== edgex\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                               ticketId                             time     price   size     value        takerOrderId        makerOrderId      takerAccountId      makerAccountId  contractId contractName  isBestMatch  isBuyerMaker                      recorded_at\n0  27cae54b-5344-463e-9494-872c07b986e5 2026-09-27 01:59:00.071000+02:00  84394.50  0.005  421.9725  798877087459968406  798877087459967382  682137798040678998  689460913991158962    30000001      BTCUSDC         True          True 2026-09-27 01:59:00.196000+02:00\n1  71cdb22b-129f-4cae-be43-679b1bb7a415 2026-09-27 01:59:00.553000+02:00    263.53  0.510  134.4003  798877089485817649  798877089485816625  670462573470574782  689326752872066727    30000077     MRVLUSDC         True          True 2026-09-27 01:59:00.670000+02:00\n2  ed7763b4-0114-47c9-b5a7-4801491d9afd 2026-09-27 01:59:00.554000+02:00   1770.60  0.050   88.5300  798877089485817456  798877089485816432  684713256153791006  686789603503575167    30000034     SNDKUSDC         True         False 2026-09-27 01:59:00.670000+02:00\n== apex\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                                 T            s  S_1      v        p          L                                     i                      recorded_at\n0 2026-09-26 10:13:36.801000+02:00  CASHCATUSDT  Buy  229.0  0.18590  MinusTick  4191875c-dbdd-5682-948a-b76360c960d1 2026-09-27 01:59:05.748000+02:00\n1 2026-09-26 10:51:23.802000+02:00  CASHCATUSDT  Buy  234.0  0.18200  MinusTick  af752a07-927c-5048-abf4-e72d73ee1179 2026-09-27 01:59:05.748000+02:00\n2 2026-09-26 11:11:41.801000+02:00  CASHCATUSDT  Buy  234.0  0.18136  MinusTick  0ab51958-8060-5d86-80ec-91616b625882 2026-09-27 01:59:05.748000+02:00\n== pacifica\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           h    s     a         p            d      tc                                t           li  it                      recorded_at\n0  286347936  LIT  0.10   4.85220  close_short  normal 2026-09-27 01:59:00.370000+02:00  13314198732   0 2026-09-27 01:59:00.492000+02:00\n1  286347938   CL  0.01  94.32000  close_short  normal 2026-09-27 01:59:00.501000+02:00  13314198769   0 2026-09-27 01:59:00.630000+02:00\n2  286347944  ADA  0.10   0.25424  close_short  normal 2026-09-27 01:59:01.497000+02:00  13314198984   0 2026-09-27 01:59:01.622000+02:00\n== dydx\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                         id   size   price  side                        createdAt   type   market\n0  06616fda0000000200000002  0.001  2697.5  SELL 2026-09-27 01:59:01.222000+02:00  LIMIT  ETH-USD\n1  06616fdd0000000200000002  1.500  2697.5  SELL 2026-09-27 01:59:03.295000+02:00  LIMIT  ETH-USD\n2  06616fdf0000000200000002  0.001  2697.5  SELL 2026-09-27 01:59:04.563000+02:00  LIMIT  ETH-USD","stderr":"\nShell cwd was reset to /tmp/peerfeed-a21/work-t2-raw","interrupted":false,"isImage":false,"noOutputExpected":false}}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"c561b9e4-958b-4b9e-b875-48d558ddd456"}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":275,"estimated_tokens_delta":225,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"e4557e55-01ec-4ece-b616-493724827e22"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMA3pESS7CjbxFar1Bm","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":2865,"cache_read_input_tokens":5006,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2865},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"0a5b6d2b-ef0d-4e77-83fa-9d6dae8a68b2","timestamp":"2026-09-29T20:18:13.101Z","request_id":"req_011CfYMA3RgHcSQGstxKm7Fa"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMA3pESS7CjbxFar1Bm","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011ZYX1JFFu55qWxenfYSwYB","name":"Bash","input":{"command":"cd /tmp/peerfeed-a21/archive; P=/tmp/peerfeed-a21/venv/bin/python; $P -c \"\nimport duckdb\ncon=duckdb.connect(); con.sql(\\\"set timezone='UTC'\\\")\nq={'hyperliquid':(\\\"coin\\\",'time','px'),'edgex':('contractName','time','price'),'apex':('s','T','p'),'pacifica':('s','t','p'),'dydx':('market','createdAt','price')}\nfor v,(s,t,p) in q.items():\n    g=f'{v}/trades/parquet/2026/09/2[678]/*.parquet'\n    print('==',v)\n    print(con.sql(f\\\"select {s} sym,count(*) n,min({p}),max({p}) from read_parquet('{g}') where upper({s}) like '%BTC%' group by 1 order by n desc limit 8\\\").df().to_string())\n    print(con.sql(f\\\"select filename, min({t}),max({t}),min(recorded_at) ,count(*) from read_parquet('{v}/trades/parquet/2026/09/27/*.parquet',filename=true) group by 1 order by 1 limit 3\\\").df().to_string() if v!='dydx' else con.sql(f\\\"select filename, min({t}),max({t}),count(*) from read_parquet('{v}/trades/parquet/2026/09/27/*.parquet',filename=true) group by 1 order by 1 limit 3\\\").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":2865,"cache_read_input_tokens":5006,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2865},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"2d32fb61-0ae4-4f01-b524-97cae540aa6b","timestamp":"2026-09-29T20:18:16.783Z","request_id":"req_011CfYMA3RgHcSQGstxKm7Fa","wire_tool_inputs":{"toolu_011ZYX1JFFu55qWxenfYSwYB":{"command":"cd /tmp/peerfeed-a21/archive; P=/tmp/peerfeed-a21/venv/bin/python; $P -c \"\nimport duckdb\ncon=duckdb.connect(); con.sql(\\\"set timezone='UTC'\\\")\nq={'hyperliquid':(\\\"coin\\\",'time','px'),'edgex':('contractName','time','price'),'apex':('s','T','p'),'pacifica':('s','t','p'),'dydx':('market','createdAt','price')}\nfor v,(s,t,p) in q.items():\n    g=f'{v}/trades/parquet/2026/09/2[678]/*.parquet'\n    print('==',v)\n    print(con.sql(f\\\"select {s} sym,count(*) n,min({p}),max({p}) from read_parquet('{g}') where upper({s}) like '%BTC%' group by 1 order by n desc limit 8\\\").df().to_string())\n    print(con.sql(f\\\"select filename, min({t}),max({t}),min(recorded_at) ,count(*) from read_parquet('{v}/trades/parquet/2026/09/27/*.parquet',filename=true) group by 1 order by 1 limit 3\\\").df().to_string() if v!='dydx' else con.sql(f\\\"select filename, min({t}),max({t}),count(*) from read_parquet('{v}/trades/parquet/2026/09/27/*.parquet',filename=true) group by 1 order by 1 limit 3\\\").df().to_string())\n\""}}}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011ZYX1JFFu55qWxenfYSwYB","type":"tool_result","content":"== hyperliquid\n   sym       n  min(px)  max(px)\n0  BTC  635095  82550.0  85138.0\n                                              filename                      min(\"time\")                      max(\"time\")                 min(recorded_at)  count_star()\n0  hyperliquid/trades/parquet/2026/09/27/00-02.parquet 2026-09-26 00:09:45.196000+00:00 2026-09-27 01:58:59.669000+00:00 2026-09-26 23:59:00.054000+00:00        285787\n1  hyperliquid/trades/parquet/2026/09/27/02-04.parquet 2026-09-26 02:04:35.236000+00:00 2026-09-27 03:58:59.630000+00:00 2026-09-27 01:59:00.068000+00:00        228270\n2  hyperliquid/trades/parquet/2026/09/27/04-06.parquet 2026-09-26 04:08:09.512000+00:00 2026-09-27 05:58:59.599000+00:00 2026-09-27 03:59:00.014000+00:00        253576\n== edgex\n       sym       n  min(price)  max(price)\n0  BTCUSDC  229980     82478.5     85110.3\n                                        filename                      min(\"time\")                      max(\"time\")                 min(recorded_at)  count_star()\n0  edgex/trades/parquet/2026/09/27/00-02.parquet 2026-09-26 23:59:00.071000+00:00 2026-09-27 01:58:59.662000+00:00 2026-09-26 23:59:00.196000+00:00         69721\n1  edgex/trades/parquet/2026/09/27/02-04.parquet 2026-09-27 01:59:00.080000+00:00 2026-09-27 03:58:59.633000+00:00 2026-09-27 01:59:00.195000+00:00         67709\n2  edgex/trades/parquet/2026/09/27/04-06.parquet 2026-09-27 03:59:00.552000+00:00 2026-09-27 05:58:59.632000+00:00 2026-09-27 03:59:00.670000+00:00         74469\n== apex\n       sym      n   min(p)   max(p)\n0  BTCUSDT  65446  82526.8  85132.0\n                                       filename                           min(T)                           max(T)                 min(recorded_at)  count_star()\n0  apex/trades/parquet/2026/09/27/00-02.parquet 2026-09-26 08:13:36.801000+00:00 2026-09-27 01:58:59.792000+00:00 2026-09-26 23:59:05.655000+00:00         31958\n1  apex/trades/parquet/2026/09/27/02-04.parquet 2026-09-26 10:23:58.802000+00:00 2026-09-27 03:58:58.403000+00:00 2026-09-27 01:59:05.735000+00:00         30675\n2  apex/trades/parquet/2026/09/27/04-06.parquet 2026-09-26 16:24:22.803000+00:00 2026-09-27 05:58:59.499000+00:00 2026-09-27 03:59:00.356000+00:00         31265\n== pacifica\n   sym      n   min(p)   max(p)\n0  BTC  26535  82551.0  85106.0\n                                           filename                           min(t)                           max(t)                 min(recorded_at)  count_star()\n0  pacifica/trades/parquet/2026/09/27/00-02.parquet 2026-09-26 23:59:00.370000+00:00 2026-09-27 01:58:59.701000+00:00 2026-09-26 23:59:00.492000+00:00         25801\n1  pacifica/trades/parquet/2026/09/27/02-04.parquet 2026-09-27 01:58:59.940000+00:00 2026-09-27 03:58:59.611000+00:00 2026-09-27 01:59:00.074000+00:00         24831\n2  pacifica/trades/parquet/2026/09/27/04-06.parquet 2026-09-27 03:59:00.087000+00:00 2026-09-27 05:58:59.673000+00:00 2026-09-27 03:59:00.211000+00:00         24982\n== dydx\n       sym      n  min(price)  max(price)\n0  BTC-USD  14575     82576.0     85248.0\n                                       filename                   min(createdAt)                   max(createdAt)  count_star()\n0  dydx/trades/parquet/2026/09/27/00-02.parquet 2026-09-26 23:59:01.222000+00:00 2026-09-27 01:58:54.539000+00:00          2588\n1  dydx/trades/parquet/2026/09/27/02-04.parquet 2026-09-27 01:59:02.605000+00:00 2026-09-27 03:54:10.835000+00:00           534\n2  dydx/trades/parquet/2026/09/27/04-06.parquet 2026-09-27 04:00:24.894000+00:00 2026-09-27 05:56:10.128000+00:00          1120\nShell cwd was reset to /tmp/peerfeed-a21/work-t2-raw","is_error":false}]},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"9a5569ad-b701-4177-aaf7-a52b604d758c","timestamp":"2026-09-29T20:18:17.209Z","tool_use_result":{"stdout":"== hyperliquid\n   sym       n  min(px)  max(px)\n0  BTC  635095  82550.0  85138.0\n                                              filename                      min(\"time\")                      max(\"time\")                 min(recorded_at)  count_star()\n0  hyperliquid/trades/parquet/2026/09/27/00-02.parquet 2026-09-26 00:09:45.196000+00:00 2026-09-27 01:58:59.669000+00:00 2026-09-26 23:59:00.054000+00:00        285787\n1  hyperliquid/trades/parquet/2026/09/27/02-04.parquet 2026-09-26 02:04:35.236000+00:00 2026-09-27 03:58:59.630000+00:00 2026-09-27 01:59:00.068000+00:00        228270\n2  hyperliquid/trades/parquet/2026/09/27/04-06.parquet 2026-09-26 04:08:09.512000+00:00 2026-09-27 05:58:59.599000+00:00 2026-09-27 03:59:00.014000+00:00        253576\n== edgex\n       sym       n  min(price)  max(price)\n0  BTCUSDC  229980     82478.5     85110.3\n                                        filename                      min(\"time\")                      max(\"time\")                 min(recorded_at)  count_star()\n0  edgex/trades/parquet/2026/09/27/00-02.parquet 2026-09-26 23:59:00.071000+00:00 2026-09-27 01:58:59.662000+00:00 2026-09-26 23:59:00.196000+00:00         69721\n1  edgex/trades/parquet/2026/09/27/02-04.parquet 2026-09-27 01:59:00.080000+00:00 2026-09-27 03:58:59.633000+00:00 2026-09-27 01:59:00.195000+00:00         67709\n2  edgex/trades/parquet/2026/09/27/04-06.parquet 2026-09-27 03:59:00.552000+00:00 2026-09-27 05:58:59.632000+00:00 2026-09-27 03:59:00.670000+00:00         74469\n== apex\n       sym      n   min(p)   max(p)\n0  BTCUSDT  65446  82526.8  85132.0\n                                       filename                           min(T)                           max(T)                 min(recorded_at)  count_star()\n0  apex/trades/parquet/2026/09/27/00-02.parquet 2026-09-26 08:13:36.801000+00:00 2026-09-27 01:58:59.792000+00:00 2026-09-26 23:59:05.655000+00:00         31958\n1  apex/trades/parquet/2026/09/27/02-04.parquet 2026-09-26 10:23:58.802000+00:00 2026-09-27 03:58:58.403000+00:00 2026-09-27 01:59:05.735000+00:00         30675\n2  apex/trades/parquet/2026/09/27/04-06.parquet 2026-09-26 16:24:22.803000+00:00 2026-09-27 05:58:59.499000+00:00 2026-09-27 03:59:00.356000+00:00         31265\n== pacifica\n   sym      n   min(p)   max(p)\n0  BTC  26535  82551.0  85106.0\n                                           filename                           min(t)                           max(t)                 min(recorded_at)  count_star()\n0  pacifica/trades/parquet/2026/09/27/00-02.parquet 2026-09-26 23:59:00.370000+00:00 2026-09-27 01:58:59.701000+00:00 2026-09-26 23:59:00.492000+00:00         25801\n1  pacifica/trades/parquet/2026/09/27/02-04.parquet 2026-09-27 01:58:59.940000+00:00 2026-09-27 03:58:59.611000+00:00 2026-09-27 01:59:00.074000+00:00         24831\n2  pacifica/trades/parquet/2026/09/27/04-06.parquet 2026-09-27 03:59:00.087000+00:00 2026-09-27 05:58:59.673000+00:00 2026-09-27 03:59:00.211000+00:00         24982\n== dydx\n       sym      n  min(price)  max(price)\n0  BTC-USD  14575     82576.0     85248.0\n                                       filename                   min(createdAt)                   max(createdAt)  count_star()\n0  dydx/trades/parquet/2026/09/27/00-02.parquet 2026-09-26 23:59:01.222000+00:00 2026-09-27 01:58:54.539000+00:00          2588\n1  dydx/trades/parquet/2026/09/27/02-04.parquet 2026-09-27 01:59:02.605000+00:00 2026-09-27 03:54:10.835000+00:00           534\n2  dydx/trades/parquet/2026/09/27/04-06.parquet 2026-09-27 04:00:24.894000+00:00 2026-09-27 05:56:10.128000+00:00          1120","stderr":"\nShell cwd was reset to /tmp/peerfeed-a21/work-t2-raw","interrupted":false,"isImage":false,"noOutputExpected":false}}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"12931da4-aeb2-46bb-aaec-138699662d8a"}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"db911984-5c32-446b-a06e-3b715d71499f"}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":312,"estimated_tokens_delta":212,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"992f2f2a-7995-4eb7-b226-f4bbe2dffb8b"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMAcpc13Q68eFwCbeyM","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":2481,"cache_read_input_tokens":7871,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2481},"output_tokens":7,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"faff11d0-7870-40ba-9df6-45bafd867cb6","timestamp":"2026-09-29T20:18:21.351Z","request_id":"req_011CfYMAcSneeJTjf76AkCZb"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMAcpc13Q68eFwCbeyM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KaRNNWgWeBbjbu7es4c63f","name":"Bash","input":{"command":"cd /tmp/peerfeed-a21/work-t2-raw; cat > load.py <<'EOF'\nimport duckdb, pandas as pd\nA='/tmp/peerfeed-a21/archive'\ncon=duckdb.connect(); con.sql(\"set timezone='UTC'\")\nq={'hyperliquid':(\"coin='BTC'\",'time','px','sz','tid'),'edgex':(\"contractName='BTCUSDC'\",'time','price','size','ticketId'),\n   'apex':(\"s='BTCUSDT'\",'T','p','v','i'),'pacifica':(\"s='BTC'\",'t','p','a','h'),'dydx':(\"market='BTC-USD'\",'createdAt','price','size','id')}\nout={}\nfor v,(w,t,p,s,k) in q.items():\n    g=f\"{A}/{v}/trades/parquet/2026/09/2[678]/*.parquet\"\n    df=con.sql(f\"select {t} as ts, {p} as px, {s} as sz, cast({k} as varchar) as k from read_parquet('{g}') where {w}\").df()\n    n=len(df); nd=df.duplicated().sum(); nk=df.k.duplicated().sum()\n    # key dup with differing content?\n    d2=df.drop_duplicates(); nk2=d2.k.duplicated().sum()\n    df=d2.drop_duplicates('k')\n    df=df[(df.ts>='2026-09-27')&(df.ts<'2026-09-28')].sort_values(['ts','k'])\n    print(v,n,'fullrowdups',nd,'keydups',nk,'keydups-after-fullrow',nk2,'day rows',len(df), 'px',df.px.min(),df.px.max(), 'sz<=0',(df.sz<=0).sum())\n    out[v]=df\npd.to_pickle(out,'trades.pkl')\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":2481,"cache_read_input_tokens":7871,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2481},"output_tokens":7,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"fc091f4b-0af8-4afe-8a19-25daba2bc13c","timestamp":"2026-09-29T20:18:26.084Z","request_id":"req_011CfYMAcSneeJTjf76AkCZb","wire_tool_inputs":{"toolu_01KaRNNWgWeBbjbu7es4c63f":{"command":"cd /tmp/peerfeed-a21/work-t2-raw; cat > load.py <<'EOF'\nimport duckdb, pandas as pd\nA='/tmp/peerfeed-a21/archive'\ncon=duckdb.connect(); con.sql(\"set timezone='UTC'\")\nq={'hyperliquid':(\"coin='BTC'\",'time','px','sz','tid'),'edgex':(\"contractName='BTCUSDC'\",'time','price','size','ticketId'),\n   'apex':(\"s='BTCUSDT'\",'T','p','v','i'),'pacifica':(\"s='BTC'\",'t','p','a','h'),'dydx':(\"market='BTC-USD'\",'createdAt','price','size','id')}\nout={}\nfor v,(w,t,p,s,k) in q.items():\n    g=f\"{A}/{v}/trades/parquet/2026/09/2[678]/*.parquet\"\n    df=con.sql(f\"select {t} as ts, {p} as px, {s} as sz, cast({k} as varchar) as k from read_parquet('{g}') where {w}\").df()\n    n=len(df); nd=df.duplicated().sum(); nk=df.k.duplicated().sum()\n    # key dup with differing content?\n    d2=df.drop_duplicates(); nk2=d2.k.duplicated().sum()\n    df=d2.drop_duplicates('k')\n    df=df[(df.ts>='2026-09-27')&(df.ts<'2026-09-28')].sort_values(['ts','k'])\n    print(v,n,'fullrowdups',nd,'keydups',nk,'keydups-after-fullrow',nk2,'day rows',len(df), 'px',df.px.min(),df.px.max(), 'sz<=0',(df.sz<=0).sum())\n    out[v]=df\npd.to_pickle(out,'trades.pkl')\nEOF\n/tmp/peerfeed-a21/venv/bin/python load.py"}}}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KaRNNWgWeBbjbu7es4c63f","type":"tool_result","content":"hyperliquid 635095 fullrowdups 6 keydups 6 keydups-after-fullrow 0 day rows 175800 px 84082.0 85138.0 sz<=0 0\nedgex 229980 fullrowdups 11 keydups 11 keydups-after-fullrow 0 day rows 63737 px 84075.6 85110.3 sz<=0 0\napex 65446 fullrowdups 1687 keydups 1687 keydups-after-fullrow 0 day rows 18490 px 84086.5 85132.0 sz<=0 0\npacifica 26535 fullrowdups 0 keydups 0 keydups-after-fullrow 0 day rows 8317 px 84127.0 85106.0 sz<=0 0\ndydx 14575 fullrowdups 7427 keydups 7427 keydups-after-fullrow 0 day rows 1784 px 84078.0 85248.0 sz<=0 0","is_error":false}]},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"1dde8a8c-08a8-4148-bddb-0f6db8ac774e","timestamp":"2026-09-29T20:18:26.916Z","tool_use_result":{"stdout":"hyperliquid 635095 fullrowdups 6 keydups 6 keydups-after-fullrow 0 day rows 175800 px 84082.0 85138.0 sz<=0 0\nedgex 229980 fullrowdups 11 keydups 11 keydups-after-fullrow 0 day rows 63737 px 84075.6 85110.3 sz<=0 0\napex 65446 fullrowdups 1687 keydups 1687 keydups-after-fullrow 0 day rows 18490 px 84086.5 85132.0 sz<=0 0\npacifica 26535 fullrowdups 0 keydups 0 keydups-after-fullrow 0 day rows 8317 px 84127.0 85106.0 sz<=0 0\ndydx 14575 fullrowdups 7427 keydups 7427 keydups-after-fullrow 0 day rows 1784 px 84078.0 85248.0 sz<=0 0","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"a0c3b1ca-fa78-4288-8951-9f9e4821cea2"}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":282,"estimated_tokens_delta":232,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"30dd00d1-6e9f-4ac7-b577-cc4a1591dcee"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMBLKCZeVPA1VBdYy4u","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":1328,"cache_read_input_tokens":10352,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1328},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"74e1b48b-28da-4f22-b776-d88ae7c93b08","timestamp":"2026-09-29T20:18:30.728Z","request_id":"req_011CfYMBKwsYytefBk2SFdQZ"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMBLKCZeVPA1VBdYy4u","type":"message","role":"assistant","content":[{"type":"text","text":"Loaded and de-duplicated trades for all five venues (files overlap at the edges and some repeat older trades). Next I'm building 1-minute closes and checking for bad prints."}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1328,"cache_read_input_tokens":10352,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1328},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"2404993c-b6a6-4145-8a10-3794df34baf5","timestamp":"2026-09-29T20:18:30.729Z","request_id":"req_011CfYMBKwsYytefBk2SFdQZ"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMBLKCZeVPA1VBdYy4u","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012nKBEoDdykyEod3x2UDLRN","name":"Bash","input":{"command":"cd /tmp/peerfeed-a21/work-t2-raw; cat > bars.py <<'EOF'\nimport pandas as pd, numpy as np\nT=pd.read_pickle('trades.pkl')\nidx=pd.date_range('2026-09-27',periods=1440,freq='min',tz='UTC')\nC={}\nfor v,df in T.items():\n    df=df.copy(); df['m']=df.ts.dt.floor('min')\n    c=df.groupby('m').px.last().reindex(idx); C[v]=c\n    print(v,'minutes traded',c.notna().sum(),'first',c.first_valid_index())\nC=pd.DataFrame(C); C.to_pickle('close.pkl')\nd=(C.drop(columns='hyperliquid').div(C.hyperliquid,axis=0)-1)*1e4\nprint(d.describe().T)\nfor v in d: \n    s=d[v].abs().sort_values(ascending=False).head(4); print(v, [(str(i.time()),round(d[v][i],2)) for i in s.index])\nEOF\n/tmp/peerfeed-a21/venv/bin/python bars.py"},"caller":{"type":"direct"}}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1328,"cache_read_input_tokens":10352,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1328},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"dbc699ba-6cd6-4743-93fc-105c0fe8604b","timestamp":"2026-09-29T20:18:33.658Z","request_id":"req_011CfYMBKwsYytefBk2SFdQZ","wire_tool_inputs":{"toolu_012nKBEoDdykyEod3x2UDLRN":{"command":"cd /tmp/peerfeed-a21/work-t2-raw; cat > bars.py <<'EOF'\nimport pandas as pd, numpy as np\nT=pd.read_pickle('trades.pkl')\nidx=pd.date_range('2026-09-27',periods=1440,freq='min',tz='UTC')\nC={}\nfor v,df in T.items():\n    df=df.copy(); df['m']=df.ts.dt.floor('min')\n    c=df.groupby('m').px.last().reindex(idx); C[v]=c\n    print(v,'minutes traded',c.notna().sum(),'first',c.first_valid_index())\nC=pd.DataFrame(C); C.to_pickle('close.pkl')\nd=(C.drop(columns='hyperliquid').div(C.hyperliquid,axis=0)-1)*1e4\nprint(d.describe().T)\nfor v in d: \n    s=d[v].abs().sort_values(ascending=False).head(4); print(v, [(str(i.time()),round(d[v][i],2)) for i in s.index])\nEOF\n/tmp/peerfeed-a21/venv/bin/python bars.py"}}}
{"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":0.18,"resetsAt":1790727000},"seven_day":{"utilization":0.19,"resetsAt":1791036000}}},"uuid":"0fbf4ba2-2729-4762-8c89-9a47ba3cb037","session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012nKBEoDdykyEod3x2UDLRN","type":"tool_result","content":"hyperliquid minutes traded 1440 first 2026-09-27 00:00:00+00:00\nedgex minutes traded 1440 first 2026-09-27 00:00:00+00:00\napex minutes traded 1440 first 2026-09-27 00:00:00+00:00\npacifica minutes traded 1411 first 2026-09-27 00:00:00+00:00\ndydx minutes traded 409 first 2026-09-27 00:01:00+00:00\n           count      mean       std  ...       50%       75%        max\nedgex     1440.0 -3.047882  0.993272  ... -3.112298 -2.372209   1.528581\napex      1440.0 -1.883750  1.382644  ... -2.073856 -0.994507   4.961339\npacifica  1411.0 -1.295958  2.212082  ... -1.063227  0.000000   8.556251\ndydx       409.0  1.427367  5.498833  ...  1.411532  3.906944  66.362799\n\n[4 rows x 8 columns]\nedgex [('06:27:00', np.float64(-5.51)), ('06:28:00', np.float64(-5.4)), ('19:17:00', np.float64(-5.39)), ('05:30:00', np.float64(-5.38))]\napex [('07:12:00', np.float64(-5.6)), ('16:23:00', np.float64(-5.44)), ('08:33:00', np.float64(-5.18)), ('13:09:00', np.float64(-5.06))]\npacifica [('13:33:00', np.float64(-10.58)), ('13:31:00', np.float64(-9.88)), ('10:11:00', np.float64(-9.41)), ('10:14:00', np.float64(-8.7))]\ndydx [('14:29:00', np.float64(66.36)), ('10:54:00', np.float64(-30.2)), ('07:41:00', np.float64(28.49)), ('11:05:00', np.float64(-13.08))]","is_error":false}]},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"177499c7-7f48-4965-8561-2c003c76ab28","timestamp":"2026-09-29T20:18:33.902Z","tool_use_result":{"stdout":"hyperliquid minutes traded 1440 first 2026-09-27 00:00:00+00:00\nedgex minutes traded 1440 first 2026-09-27 00:00:00+00:00\napex minutes traded 1440 first 2026-09-27 00:00:00+00:00\npacifica minutes traded 1411 first 2026-09-27 00:00:00+00:00\ndydx minutes traded 409 first 2026-09-27 00:01:00+00:00\n           count      mean       std  ...       50%       75%        max\nedgex     1440.0 -3.047882  0.993272  ... -3.112298 -2.372209   1.528581\napex      1440.0 -1.883750  1.382644  ... -2.073856 -0.994507   4.961339\npacifica  1411.0 -1.295958  2.212082  ... -1.063227  0.000000   8.556251\ndydx       409.0  1.427367  5.498833  ...  1.411532  3.906944  66.362799\n\n[4 rows x 8 columns]\nedgex [('06:27:00', np.float64(-5.51)), ('06:28:00', np.float64(-5.4)), ('19:17:00', np.float64(-5.39)), ('05:30:00', np.float64(-5.38))]\napex [('07:12:00', np.float64(-5.6)), ('16:23:00', np.float64(-5.44)), ('08:33:00', np.float64(-5.18)), ('13:09:00', np.float64(-5.06))]\npacifica [('13:33:00', np.float64(-10.58)), ('13:31:00', np.float64(-9.88)), ('10:11:00', np.float64(-9.41)), ('10:14:00', np.float64(-8.7))]\ndydx [('14:29:00', np.float64(66.36)), ('10:54:00', np.float64(-30.2)), ('07:41:00', np.float64(28.49)), ('11:05:00', np.float64(-13.08))]","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"35d9dab2-fb68-4225-b81a-74f658e4a065"}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":239,"estimated_tokens_delta":189,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"ce38a5a8-5f27-4a27-b384-9e18db3b5768"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMBrBoY9655pENGuRkv","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":1338,"cache_read_input_tokens":11680,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1338},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"6a527c57-9dd6-471c-8927-bddfe1281fed","timestamp":"2026-09-29T20:18:36.538Z","request_id":"req_011CfYMBqpENA74MJoigWqRE"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMBrBoY9655pENGuRkv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017Adfw4r4DxM97d7hjL6nuZ","name":"Bash","input":{"command":"cd /tmp/peerfeed-a21/work-t2-raw; /tmp/peerfeed-a21/venv/bin/python -c \"\nimport pandas as pd\nT=pd.read_pickle('trades.pkl')\nfor m in ['14:29','10:54','07:41']:\n    a=pd.Timestamp('2026-09-27 '+m,tz='UTC')\n    for v in ['dydx','hyperliquid']:\n        d=T[v]; x=d[(d.ts>=a-pd.Timedelta('2min'))&(d.ts<a+pd.Timedelta('2min'))]\n        print(v,m, len(x)); print(x.tail(8).to_string() if v=='hyperliquid' else x.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":1338,"cache_read_input_tokens":11680,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1338},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"628a08aa-6d8c-4618-a289-902ba33d9ebc","timestamp":"2026-09-29T20:18:37.996Z","request_id":"req_011CfYMBqpENA74MJoigWqRE","wire_tool_inputs":{"toolu_017Adfw4r4DxM97d7hjL6nuZ":{"command":"cd /tmp/peerfeed-a21/work-t2-raw; /tmp/peerfeed-a21/venv/bin/python -c \"\nimport pandas as pd\nT=pd.read_pickle('trades.pkl')\nfor m in ['14:29','10:54','07:41']:\n    a=pd.Timestamp('2026-09-27 '+m,tz='UTC')\n    for v in ['dydx','hyperliquid']:\n        d=T[v]; x=d[(d.ts>=a-pd.Timedelta('2min'))&(d.ts<a+pd.Timedelta('2min'))]\n        print(v,m, len(x)); print(x.tail(8).to_string() if v=='hyperliquid' else x.to_string())\n\""}}}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017Adfw4r4DxM97d7hjL6nuZ","type":"tool_result","content":"dydx 14:29 61\n                                   ts       px      sz                         k\n5875 2026-09-27 14:27:02.754000+00:00  84779.0  0.0001  066295ce0000000200000002\n5876 2026-09-27 14:27:18.931000+00:00  84784.0  0.0002  066295e60000000200000002\n5877 2026-09-27 14:28:02.159000+00:00  84769.0  0.0001  066296250000000200000002\n5878 2026-09-27 14:28:53.796000+00:00  84739.0  0.0050  0662966f0000000200000002\n5879 2026-09-27 14:29:01.685000+00:00  84818.0  0.0001  0662967a0000000200000002\n5880 2026-09-27 14:29:17.160000+00:00  84786.0  0.0003  066296900000000200000002\n5881 2026-09-27 14:29:17.160000+00:00  84786.0  0.0001  066296900000000200000005\n5882 2026-09-27 14:29:18.723000+00:00  84694.0  0.0050  066296920000000200000002\n5883 2026-09-27 14:29:57.920000+00:00  84714.0  0.0590  066296ca0000000200000002\n5884 2026-09-27 14:29:57.920000+00:00  84714.0  0.0590  066296ca0000000200000005\n5885 2026-09-27 14:29:57.920000+00:00  84741.0  0.1180  066296ca0000000200000008\n5886 2026-09-27 14:29:57.920000+00:00  84741.0  0.1180  066296ca000000020000000b\n5887 2026-09-27 14:29:57.920000+00:00  84854.0  0.0001  066296ca000000020000000e\n5888 2026-09-27 14:29:57.920000+00:00  84874.0  0.0021  066296ca0000000200000011\n5889 2026-09-27 14:29:57.920000+00:00  84875.0  0.0018  066296ca0000000200000014\n5890 2026-09-27 14:29:57.920000+00:00  84875.0  0.0019  066296ca0000000200000017\n5891 2026-09-27 14:29:57.920000+00:00  84875.0  0.0017  066296ca000000020000001a\n5892 2026-09-27 14:29:57.920000+00:00  84875.0  0.0150  066296ca000000020000001d\n5893 2026-09-27 14:29:57.920000+00:00  84875.0  0.0019  066296ca0000000200000020\n5894 2026-09-27 14:29:57.920000+00:00  84875.0  0.0270  066296ca0000000200000023\n5895 2026-09-27 14:29:57.920000+00:00  84875.0  0.0017  066296ca0000000200000026\n5896 2026-09-27 14:29:57.920000+00:00  84909.0  0.8268  066296ca0000000200000029\n5897 2026-09-27 14:29:57.920000+00:00  84958.0  0.0041  066296ca000000020000002c\n5898 2026-09-27 14:29:57.920000+00:00  84959.0  0.0166  066296ca000000020000002f\n5899 2026-09-27 14:29:57.920000+00:00  84959.0  0.0025  066296ca0000000200000032\n5900 2026-09-27 14:29:57.920000+00:00  85017.0  0.0034  066296ca0000000200000035\n5901 2026-09-27 14:29:57.920000+00:00  85017.0  0.0033  066296ca0000000200000038\n5902 2026-09-27 14:29:57.920000+00:00  85017.0  0.0037  066296ca000000020000003b\n5903 2026-09-27 14:29:57.920000+00:00  85017.0  0.0032  066296ca000000020000003e\n5904 2026-09-27 14:29:57.920000+00:00  85036.0  0.0001  066296ca0000000200000041\n5905 2026-09-27 14:29:57.920000+00:00  85043.0  0.0053  066296ca0000000200000044\n5906 2026-09-27 14:29:57.920000+00:00  85044.0  0.0033  066296ca0000000200000047\n5907 2026-09-27 14:29:57.920000+00:00  85102.0  0.0044  066296ca000000020000004a\n5908 2026-09-27 14:29:57.920000+00:00  85102.0  0.0042  066296ca000000020000004d\n5909 2026-09-27 14:29:57.920000+00:00  85102.0  0.0048  066296ca0000000200000050\n5910 2026-09-27 14:29:57.920000+00:00  85102.0  0.0043  066296ca0000000200000053\n5911 2026-09-27 14:29:57.920000+00:00  85127.0  0.0070  066296ca0000000200000056\n5912 2026-09-27 14:29:57.920000+00:00  85129.0  0.0043  066296ca0000000200000059\n5913 2026-09-27 14:29:57.920000+00:00  85180.0  0.0180  066296ca000000020000005c\n5914 2026-09-27 14:29:57.920000+00:00  85186.0  0.0058  066296ca000000020000005f\n5915 2026-09-27 14:29:57.920000+00:00  85186.0  0.0062  066296ca0000000200000062\n5916 2026-09-27 14:29:57.920000+00:00  85186.0  0.0056  066296ca0000000200000065\n5917 2026-09-27 14:29:57.920000+00:00  85186.0  0.0055  066296ca0000000200000068\n5918 2026-09-27 14:29:57.920000+00:00  85193.0  0.0005  066296ca000000020000006b\n5919 2026-09-27 14:29:57.920000+00:00  85193.0  0.0095  066296ca000000020000006e\n5920 2026-09-27 14:29:57.920000+00:00  85193.0  0.0059  066296ca0000000200000071\n5921 2026-09-27 14:29:57.920000+00:00  85212.0  0.0090  066296ca0000000200000074\n5922 2026-09-27 14:29:57.920000+00:00  85214.0  0.0056  066296ca0000000200000077\n5923 2026-09-27 14:29:57.920000+00:00  85248.0  0.6199  066296ca000000020000007a\n5924 2026-09-27 14:30:05.192000+00:00  84737.0  0.1180  066296d40000000200000002\n5925 2026-09-27 14:30:05.889000+00:00  84732.0  1.3287  066296d50000000200000002\n5926 2026-09-27 14:30:12.057000+00:00  84708.0  0.0004  066296de0000000200000002\n5927 2026-09-27 14:30:13.502000+00:00  84708.0  0.0001  066296e00000000200000002\n5928 2026-09-27 14:30:46.565000+00:00  84751.0  0.0146  0662970f0000000200000002\n5929 2026-09-27 14:30:46.565000+00:00  84751.0  0.0312  0662970f0000000200000005\n5930 2026-09-27 14:30:46.565000+00:00  84751.0  0.0176  0662970f0000000200000008\n5931 2026-09-27 14:30:46.565000+00:00  84751.0  0.0154  0662970f000000020000000b\n5932 2026-09-27 14:30:46.565000+00:00  84751.0  0.0149  0662970f000000020000000e\n5933 2026-09-27 14:30:46.565000+00:00  84751.0  0.0270  0662970f0000000200000011\n5934 2026-09-27 14:30:46.565000+00:00  84751.0  0.0166  0662970f0000000200000014\n5935 2026-09-27 14:30:46.565000+00:00  84751.0  0.0274  0662970f0000000200000017\nhyperliquid 14:29 1095\n                                     ts       px       sz                 k\n227553 2026-09-27 14:30:51.106000+00:00  84703.0  0.01568   454820408878518\n227554 2026-09-27 14:30:51.442000+00:00  84703.0  0.01139   635384641004469\n227555 2026-09-27 14:30:52.243000+00:00  84704.0  0.00099  1118674626492763\n227556 2026-09-27 14:30:54.522000+00:00  84704.0  0.18195   481465951682104\n227558 2026-09-27 14:30:56.060000+00:00  84704.0  0.00014   353917893893781\n227557 2026-09-27 14:30:56.060000+00:00  84703.0  0.00029   832942502761016\n227559 2026-09-27 14:30:57.955000+00:00  84704.0  0.00542   392552775792684\n227560 2026-09-27 14:30:59.166000+00:00  84704.0  0.00012    82870143802178\ndydx 10:54 33\n                                   ts       px      sz                         k\n4493 2026-09-27 10:52:09.320000+00:00  84827.0  0.0002  0662505d0000000200000002\n4494 2026-09-27 10:53:27.516000+00:00  84802.0  0.0002  066250ce0000000200000002\n4495 2026-09-27 10:53:34.141000+00:00  84792.0  0.0002  066250d80000000200000002\n4496 2026-09-27 10:53:34.141000+00:00  84773.0  0.0007  066250d80000000200000005\n4497 2026-09-27 10:54:01.671000+00:00  84781.0  0.0001  066251000000000200000002\n4498 2026-09-27 10:54:03.760000+00:00  84778.0  0.0589  066251030000000200000002\n4499 2026-09-27 10:54:03.760000+00:00  84769.0  0.1787  066251030000000200000005\n4500 2026-09-27 10:54:03.760000+00:00  84764.0  0.1179  066251030000000200000008\n4501 2026-09-27 10:54:03.760000+00:00  84762.0  0.0001  06625103000000020000000b\n4502 2026-09-27 10:54:03.760000+00:00  84732.0  0.0002  06625103000000020000000e\n4503 2026-09-27 10:54:03.760000+00:00  84698.0  0.0021  066251030000000200000011\n4504 2026-09-27 10:54:03.760000+00:00  84691.0  0.0019  066251030000000200000014\n4505 2026-09-27 10:54:03.760000+00:00  84691.0  0.0019  066251030000000200000017\n4506 2026-09-27 10:54:03.760000+00:00  84684.0  0.0249  06625103000000020000001a\n4507 2026-09-27 10:54:03.760000+00:00  84684.0  0.0138  06625103000000020000001d\n4508 2026-09-27 10:54:03.760000+00:00  84684.0  0.0017  066251030000000200000020\n4509 2026-09-27 10:54:03.760000+00:00  84684.0  0.0017  066251030000000200000023\n4510 2026-09-27 10:54:03.760000+00:00  84684.0  0.0017  066251030000000200000026\n4511 2026-09-27 10:54:03.760000+00:00  84610.0  0.0147  066251030000000200000029\n4512 2026-09-27 10:54:03.760000+00:00  84600.0  0.0024  06625103000000020000002c\n4513 2026-09-27 10:54:03.760000+00:00  84520.0  0.4658  06625103000000020000002f\n4514 2026-09-27 10:55:02.460000+00:00  84771.0  0.0001  066251600000000200000002\n4515 2026-09-27 10:55:42.378000+00:00  84771.0  0.0020  0662519a0000000200000002\n4516 2026-09-27 10:55:42.378000+00:00  84771.0  0.0019  0662519a0000000200000005\n4517 2026-09-27 10:55:42.378000+00:00  84771.0  0.0017  0662519a0000000200000008\n4518 2026-09-27 10:55:42.378000+00:00  84771.0  0.0017  0662519a000000020000000b\n4519 2026-09-27 10:55:42.378000+00:00  84771.0  0.0285  0662519a000000020000000e\n4520 2026-09-27 10:55:42.378000+00:00  84771.0  0.0043  0662519a0000000200000011\n4521 2026-09-27 10:55:42.378000+00:00  84771.0  0.0017  0662519a0000000200000014\n4522 2026-09-27 10:55:42.378000+00:00  84771.0  0.0213  0662519a0000000200000017\n4523 2026-09-27 10:55:42.378000+00:00  84771.0  0.0036  0662519a000000020000001a\n4524 2026-09-27 10:55:56.090000+00:00  84750.0  0.1776  066251ae0000000200000002\n4525 2026-09-27 10:55:56.090000+00:00  84750.0  0.1768  066251ae0000000200000005\nhyperliquid 10:54 542\n                                     ts       px       sz                k\n196031 2026-09-27 10:55:45.079000+00:00  84798.0  0.00048  861814920513441\n196038 2026-09-27 10:55:46.019000+00:00  84800.0  0.00029  818038248347827\n196039 2026-09-27 10:55:48.014000+00:00  84800.0  0.00074  333976425695338\n196040 2026-09-27 10:55:49.104000+00:00  84800.0  0.00063  100595326894979\n196041 2026-09-27 10:55:50.042000+00:00  84799.0  0.00953  113002288268411\n196042 2026-09-27 10:55:53.063000+00:00  84799.0  0.00078  318689731747252\n196043 2026-09-27 10:55:55.544000+00:00  84800.0  0.00712  195346816691525\n196044 2026-09-27 10:55:59.221000+00:00  84800.0  0.00736  409101702566903\ndydx 07:41 54\n                                   ts       px      sz                         k\n4186 2026-09-27 07:41:19.565000+00:00  84580.0  0.5000  06620f350000000200000002\n4187 2026-09-27 07:41:21.250000+00:00  84580.0  0.1203  06620f380000000200000002\n4188 2026-09-27 07:41:21.250000+00:00  84580.0  0.1695  06620f38000000020000000b\n4189 2026-09-27 07:41:21.250000+00:00  84580.0  0.0404  06620f38000000020000000e\n4190 2026-09-27 07:41:22.196000+00:00  84580.0  0.1287  06620f390000000200000026\n4191 2026-09-27 07:41:22.196000+00:00  84580.0  0.0733  06620f390000000200000029\n4192 2026-09-27 07:41:22.196000+00:00  84580.0  0.0848  06620f39000000020000002c\n4193 2026-09-27 07:41:22.196000+00:00  84580.0  0.0800  06620f39000000020000002f\n4194 2026-09-27 07:41:22.196000+00:00  84580.0  0.0466  06620f390000000200000032\n4195 2026-09-27 07:41:22.196000+00:00  84580.0  0.0712  06620f390000000200000035\n4196 2026-09-27 07:41:22.196000+00:00  84580.0  0.0830  06620f390000000200000038\n4197 2026-09-27 07:41:22.196000+00:00  84580.0  0.0693  06620f39000000020000003b\n4198 2026-09-27 07:41:22.196000+00:00  84580.0  0.0960  06620f39000000020000003e\n4199 2026-09-27 07:41:22.196000+00:00  84580.0  0.0906  06620f390000000200000041\n4200 2026-09-27 07:41:22.829000+00:00  84580.0  0.1327  06620f3a000000020000000e\n4201 2026-09-27 07:41:22.829000+00:00  84580.0  0.1077  06620f3a0000000200000011\n4202 2026-09-27 07:41:22.829000+00:00  84580.0  0.1191  06620f3a0000000200000014\n4203 2026-09-27 07:41:22.829000+00:00  84580.0  0.0473  06620f3a0000000200000017\n4204 2026-09-27 07:41:22.829000+00:00  84580.0  0.0491  06620f3a000000020000001a\n4205 2026-09-27 07:41:22.829000+00:00  84580.0  0.1051  06620f3a000000020000001d\n4206 2026-09-27 07:41:22.829000+00:00  84580.0  0.1378  06620f3a0000000200000020\n4207 2026-09-27 07:41:22.829000+00:00  84580.0  0.0703  06620f3a0000000200000023\n4208 2026-09-27 07:41:22.829000+00:00  84580.0  0.0941  06620f3a0000000200000026\n4209 2026-09-27 07:41:23.533000+00:00  84580.0  0.0848  06620f3b0000000200000002\n4210 2026-09-27 07:41:23.533000+00:00  84580.0  0.0680  06620f3b0000000200000005\n4211 2026-09-27 07:41:23.533000+00:00  84580.0  0.3303  06620f3b0000000200000008\n4212 2026-09-27 07:41:23.533000+00:00  84587.0  0.0002  06620f3b000000020000000b\n4213 2026-09-27 07:41:23.533000+00:00  84605.0  0.0003  06620f3b000000020000000e\n4214 2026-09-27 07:41:23.533000+00:00  84615.0  0.0590  06620f3b0000000200000011\n4215 2026-09-27 07:41:23.533000+00:00  84638.0  0.0018  06620f3b0000000200000014\n4216 2026-09-27 07:41:23.533000+00:00  84638.0  0.0018  06620f3b0000000200000017\n4217 2026-09-27 07:41:23.533000+00:00  84647.0  0.0021  06620f3b000000020000001a\n4218 2026-09-27 07:41:23.533000+00:00  84653.0  0.0017  06620f3b000000020000001d\n4219 2026-09-27 07:41:23.533000+00:00  84653.0  0.0017  06620f3b0000000200000020\n4220 2026-09-27 07:41:23.533000+00:00  84653.0  0.0238  06620f3b0000000200000023\n4221 2026-09-27 07:41:23.533000+00:00  84653.0  0.0016  06620f3b0000000200000026\n4222 2026-09-27 07:41:23.533000+00:00  84653.0  0.0130  06620f3b0000000200000029\n4223 2026-09-27 07:41:23.533000+00:00  84724.0  0.0139  06620f3b000000020000002c\n4224 2026-09-27 07:41:23.533000+00:00  84737.0  0.0024  06620f3b000000020000002f\n4225 2026-09-27 07:41:23.533000+00:00  84795.0  0.0200  06620f3b0000000200000032\n4226 2026-09-27 07:41:23.533000+00:00  84809.0  0.0035  06620f3b0000000200000035\n4227 2026-09-27 07:41:23.533000+00:00  84809.0  0.0031  06620f3b0000000200000038\n4228 2026-09-27 07:41:23.533000+00:00  84812.0  0.0198  06620f3b000000020000003b\n4229 2026-09-27 07:41:24.240000+00:00  84822.0  0.0003  06620f3c0000000200000002\n4230 2026-09-27 07:41:24.240000+00:00  84822.0  0.0003  06620f3c0000000200000005\n4231 2026-09-27 07:42:00.728000+00:00  84600.0  0.0238  06620f6f0000000200000002\n4232 2026-09-27 07:42:00.728000+00:00  84600.0  0.0047  06620f6f0000000200000005\n4233 2026-09-27 07:42:00.728000+00:00  84600.0  0.0018  06620f6f0000000200000008\n4234 2026-09-27 07:42:01.306000+00:00  84600.0  0.0021  06620f700000000200000002\n4235 2026-09-27 07:42:01.306000+00:00  84600.0  0.0017  06620f700000000200000005\n4236 2026-09-27 07:42:01.306000+00:00  84600.0  0.0269  06620f700000000200000008\n4237 2026-09-27 07:42:01.306000+00:00  84600.0  0.0017  06620f70000000020000000b\n4238 2026-09-27 07:42:01.306000+00:00  84600.0  0.0047  06620f70000000020000000e\n4239 2026-09-27 07:42:01.306000+00:00  84600.0  0.0035  06620f700000000200000011\nhyperliquid 07:41 290\n                                     ts       px       sz                 k\n164288 2026-09-27 07:42:52.958000+00:00  84558.0  0.00286   646549520692072\n164289 2026-09-27 07:42:55.416000+00:00  84558.0  0.00610    47211821723400\n164290 2026-09-27 07:42:55.897000+00:00  84558.0  0.00040   573281612700938\n164291 2026-09-27 07:42:56.013000+00:00  84558.0  0.00014   670739544183656\n164292 2026-09-27 07:42:57.239000+00:00  84557.0  0.00287   421864285964709\n164293 2026-09-27 07:42:58.730000+00:00  84558.0  0.00100   854049698140808\n164294 2026-09-27 07:42:59.060000+00:00  84558.0  0.00014  1039817511615809\n164295 2026-09-27 07:42:59.060000+00:00  84557.0  0.00015    35819421535577","is_error":false}]},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"9e7c5799-43ab-4676-93ee-bc51e42f6070","timestamp":"2026-09-29T20:18:38.191Z","tool_use_result":{"stdout":"dydx 14:29 61\n                                   ts       px      sz                         k\n5875 2026-09-27 14:27:02.754000+00:00  84779.0  0.0001  066295ce0000000200000002\n5876 2026-09-27 14:27:18.931000+00:00  84784.0  0.0002  066295e60000000200000002\n5877 2026-09-27 14:28:02.159000+00:00  84769.0  0.0001  066296250000000200000002\n5878 2026-09-27 14:28:53.796000+00:00  84739.0  0.0050  0662966f0000000200000002\n5879 2026-09-27 14:29:01.685000+00:00  84818.0  0.0001  0662967a0000000200000002\n5880 2026-09-27 14:29:17.160000+00:00  84786.0  0.0003  066296900000000200000002\n5881 2026-09-27 14:29:17.160000+00:00  84786.0  0.0001  066296900000000200000005\n5882 2026-09-27 14:29:18.723000+00:00  84694.0  0.0050  066296920000000200000002\n5883 2026-09-27 14:29:57.920000+00:00  84714.0  0.0590  066296ca0000000200000002\n5884 2026-09-27 14:29:57.920000+00:00  84714.0  0.0590  066296ca0000000200000005\n5885 2026-09-27 14:29:57.920000+00:00  84741.0  0.1180  066296ca0000000200000008\n5886 2026-09-27 14:29:57.920000+00:00  84741.0  0.1180  066296ca000000020000000b\n5887 2026-09-27 14:29:57.920000+00:00  84854.0  0.0001  066296ca000000020000000e\n5888 2026-09-27 14:29:57.920000+00:00  84874.0  0.0021  066296ca0000000200000011\n5889 2026-09-27 14:29:57.920000+00:00  84875.0  0.0018  066296ca0000000200000014\n5890 2026-09-27 14:29:57.920000+00:00  84875.0  0.0019  066296ca0000000200000017\n5891 2026-09-27 14:29:57.920000+00:00  84875.0  0.0017  066296ca000000020000001a\n5892 2026-09-27 14:29:57.920000+00:00  84875.0  0.0150  066296ca000000020000001d\n5893 2026-09-27 14:29:57.920000+00:00  84875.0  0.0019  066296ca0000000200000020\n5894 2026-09-27 14:29:57.920000+00:00  84875.0  0.0270  066296ca0000000200000023\n5895 2026-09-27 14:29:57.920000+00:00  84875.0  0.0017  066296ca0000000200000026\n5896 2026-09-27 14:29:57.920000+00:00  84909.0  0.8268  066296ca0000000200000029\n5897 2026-09-27 14:29:57.920000+00:00  84958.0  0.0041  066296ca000000020000002c\n5898 2026-09-27 14:29:57.920000+00:00  84959.0  0.0166  066296ca000000020000002f\n5899 2026-09-27 14:29:57.920000+00:00  84959.0  0.0025  066296ca0000000200000032\n5900 2026-09-27 14:29:57.920000+00:00  85017.0  0.0034  066296ca0000000200000035\n5901 2026-09-27 14:29:57.920000+00:00  85017.0  0.0033  066296ca0000000200000038\n5902 2026-09-27 14:29:57.920000+00:00  85017.0  0.0037  066296ca000000020000003b\n5903 2026-09-27 14:29:57.920000+00:00  85017.0  0.0032  066296ca000000020000003e\n5904 2026-09-27 14:29:57.920000+00:00  85036.0  0.0001  066296ca0000000200000041\n5905 2026-09-27 14:29:57.920000+00:00  85043.0  0.0053  066296ca0000000200000044\n5906 2026-09-27 14:29:57.920000+00:00  85044.0  0.0033  066296ca0000000200000047\n5907 2026-09-27 14:29:57.920000+00:00  85102.0  0.0044  066296ca000000020000004a\n5908 2026-09-27 14:29:57.920000+00:00  85102.0  0.0042  066296ca000000020000004d\n5909 2026-09-27 14:29:57.920000+00:00  85102.0  0.0048  066296ca0000000200000050\n5910 2026-09-27 14:29:57.920000+00:00  85102.0  0.0043  066296ca0000000200000053\n5911 2026-09-27 14:29:57.920000+00:00  85127.0  0.0070  066296ca0000000200000056\n5912 2026-09-27 14:29:57.920000+00:00  85129.0  0.0043  066296ca0000000200000059\n5913 2026-09-27 14:29:57.920000+00:00  85180.0  0.0180  066296ca000000020000005c\n5914 2026-09-27 14:29:57.920000+00:00  85186.0  0.0058  066296ca000000020000005f\n5915 2026-09-27 14:29:57.920000+00:00  85186.0  0.0062  066296ca0000000200000062\n5916 2026-09-27 14:29:57.920000+00:00  85186.0  0.0056  066296ca0000000200000065\n5917 2026-09-27 14:29:57.920000+00:00  85186.0  0.0055  066296ca0000000200000068\n5918 2026-09-27 14:29:57.920000+00:00  85193.0  0.0005  066296ca000000020000006b\n5919 2026-09-27 14:29:57.920000+00:00  85193.0  0.0095  066296ca000000020000006e\n5920 2026-09-27 14:29:57.920000+00:00  85193.0  0.0059  066296ca0000000200000071\n5921 2026-09-27 14:29:57.920000+00:00  85212.0  0.0090  066296ca0000000200000074\n5922 2026-09-27 14:29:57.920000+00:00  85214.0  0.0056  066296ca0000000200000077\n5923 2026-09-27 14:29:57.920000+00:00  85248.0  0.6199  066296ca000000020000007a\n5924 2026-09-27 14:30:05.192000+00:00  84737.0  0.1180  066296d40000000200000002\n5925 2026-09-27 14:30:05.889000+00:00  84732.0  1.3287  066296d50000000200000002\n5926 2026-09-27 14:30:12.057000+00:00  84708.0  0.0004  066296de0000000200000002\n5927 2026-09-27 14:30:13.502000+00:00  84708.0  0.0001  066296e00000000200000002\n5928 2026-09-27 14:30:46.565000+00:00  84751.0  0.0146  0662970f0000000200000002\n5929 2026-09-27 14:30:46.565000+00:00  84751.0  0.0312  0662970f0000000200000005\n5930 2026-09-27 14:30:46.565000+00:00  84751.0  0.0176  0662970f0000000200000008\n5931 2026-09-27 14:30:46.565000+00:00  84751.0  0.0154  0662970f000000020000000b\n5932 2026-09-27 14:30:46.565000+00:00  84751.0  0.0149  0662970f000000020000000e\n5933 2026-09-27 14:30:46.565000+00:00  84751.0  0.0270  0662970f0000000200000011\n5934 2026-09-27 14:30:46.565000+00:00  84751.0  0.0166  0662970f0000000200000014\n5935 2026-09-27 14:30:46.565000+00:00  84751.0  0.0274  0662970f0000000200000017\nhyperliquid 14:29 1095\n                                     ts       px       sz                 k\n227553 2026-09-27 14:30:51.106000+00:00  84703.0  0.01568   454820408878518\n227554 2026-09-27 14:30:51.442000+00:00  84703.0  0.01139   635384641004469\n227555 2026-09-27 14:30:52.243000+00:00  84704.0  0.00099  1118674626492763\n227556 2026-09-27 14:30:54.522000+00:00  84704.0  0.18195   481465951682104\n227558 2026-09-27 14:30:56.060000+00:00  84704.0  0.00014   353917893893781\n227557 2026-09-27 14:30:56.060000+00:00  84703.0  0.00029   832942502761016\n227559 2026-09-27 14:30:57.955000+00:00  84704.0  0.00542   392552775792684\n227560 2026-09-27 14:30:59.166000+00:00  84704.0  0.00012    82870143802178\ndydx 10:54 33\n                                   ts       px      sz                         k\n4493 2026-09-27 10:52:09.320000+00:00  84827.0  0.0002  0662505d0000000200000002\n4494 2026-09-27 10:53:27.516000+00:00  84802.0  0.0002  066250ce0000000200000002\n4495 2026-09-27 10:53:34.141000+00:00  84792.0  0.0002  066250d80000000200000002\n4496 2026-09-27 10:53:34.141000+00:00  84773.0  0.0007  066250d80000000200000005\n4497 2026-09-27 10:54:01.671000+00:00  84781.0  0.0001  066251000000000200000002\n4498 2026-09-27 10:54:03.760000+00:00  84778.0  0.0589  066251030000000200000002\n4499 2026-09-27 10:54:03.760000+00:00  84769.0  0.1787  066251030000000200000005\n4500 2026-09-27 10:54:03.760000+00:00  84764.0  0.1179  066251030000000200000008\n4501 2026-09-27 10:54:03.760000+00:00  84762.0  0.0001  06625103000000020000000b\n4502 2026-09-27 10:54:03.760000+00:00  84732.0  0.0002  06625103000000020000000e\n4503 2026-09-27 10:54:03.760000+00:00  84698.0  0.0021  066251030000000200000011\n4504 2026-09-27 10:54:03.760000+00:00  84691.0  0.0019  066251030000000200000014\n4505 2026-09-27 10:54:03.760000+00:00  84691.0  0.0019  066251030000000200000017\n4506 2026-09-27 10:54:03.760000+00:00  84684.0  0.0249  06625103000000020000001a\n4507 2026-09-27 10:54:03.760000+00:00  84684.0  0.0138  06625103000000020000001d\n4508 2026-09-27 10:54:03.760000+00:00  84684.0  0.0017  066251030000000200000020\n4509 2026-09-27 10:54:03.760000+00:00  84684.0  0.0017  066251030000000200000023\n4510 2026-09-27 10:54:03.760000+00:00  84684.0  0.0017  066251030000000200000026\n4511 2026-09-27 10:54:03.760000+00:00  84610.0  0.0147  066251030000000200000029\n4512 2026-09-27 10:54:03.760000+00:00  84600.0  0.0024  06625103000000020000002c\n4513 2026-09-27 10:54:03.760000+00:00  84520.0  0.4658  06625103000000020000002f\n4514 2026-09-27 10:55:02.460000+00:00  84771.0  0.0001  066251600000000200000002\n4515 2026-09-27 10:55:42.378000+00:00  84771.0  0.0020  0662519a0000000200000002\n4516 2026-09-27 10:55:42.378000+00:00  84771.0  0.0019  0662519a0000000200000005\n4517 2026-09-27 10:55:42.378000+00:00  84771.0  0.0017  0662519a0000000200000008\n4518 2026-09-27 10:55:42.378000+00:00  84771.0  0.0017  0662519a000000020000000b\n4519 2026-09-27 10:55:42.378000+00:00  84771.0  0.0285  0662519a000000020000000e\n4520 2026-09-27 10:55:42.378000+00:00  84771.0  0.0043  0662519a0000000200000011\n4521 2026-09-27 10:55:42.378000+00:00  84771.0  0.0017  0662519a0000000200000014\n4522 2026-09-27 10:55:42.378000+00:00  84771.0  0.0213  0662519a0000000200000017\n4523 2026-09-27 10:55:42.378000+00:00  84771.0  0.0036  0662519a000000020000001a\n4524 2026-09-27 10:55:56.090000+00:00  84750.0  0.1776  066251ae0000000200000002\n4525 2026-09-27 10:55:56.090000+00:00  84750.0  0.1768  066251ae0000000200000005\nhyperliquid 10:54 542\n                                     ts       px       sz                k\n196031 2026-09-27 10:55:45.079000+00:00  84798.0  0.00048  861814920513441\n196038 2026-09-27 10:55:46.019000+00:00  84800.0  0.00029  818038248347827\n196039 2026-09-27 10:55:48.014000+00:00  84800.0  0.00074  333976425695338\n196040 2026-09-27 10:55:49.104000+00:00  84800.0  0.00063  100595326894979\n196041 2026-09-27 10:55:50.042000+00:00  84799.0  0.00953  113002288268411\n196042 2026-09-27 10:55:53.063000+00:00  84799.0  0.00078  318689731747252\n196043 2026-09-27 10:55:55.544000+00:00  84800.0  0.00712  195346816691525\n196044 2026-09-27 10:55:59.221000+00:00  84800.0  0.00736  409101702566903\ndydx 07:41 54\n                                   ts       px      sz                         k\n4186 2026-09-27 07:41:19.565000+00:00  84580.0  0.5000  06620f350000000200000002\n4187 2026-09-27 07:41:21.250000+00:00  84580.0  0.1203  06620f380000000200000002\n4188 2026-09-27 07:41:21.250000+00:00  84580.0  0.1695  06620f38000000020000000b\n4189 2026-09-27 07:41:21.250000+00:00  84580.0  0.0404  06620f38000000020000000e\n4190 2026-09-27 07:41:22.196000+00:00  84580.0  0.1287  06620f390000000200000026\n4191 2026-09-27 07:41:22.196000+00:00  84580.0  0.0733  06620f390000000200000029\n4192 2026-09-27 07:41:22.196000+00:00  84580.0  0.0848  06620f39000000020000002c\n4193 2026-09-27 07:41:22.196000+00:00  84580.0  0.0800  06620f39000000020000002f\n4194 2026-09-27 07:41:22.196000+00:00  84580.0  0.0466  06620f390000000200000032\n4195 2026-09-27 07:41:22.196000+00:00  84580.0  0.0712  06620f390000000200000035\n4196 2026-09-27 07:41:22.196000+00:00  84580.0  0.0830  06620f390000000200000038\n4197 2026-09-27 07:41:22.196000+00:00  84580.0  0.0693  06620f39000000020000003b\n4198 2026-09-27 07:41:22.196000+00:00  84580.0  0.0960  06620f39000000020000003e\n4199 2026-09-27 07:41:22.196000+00:00  84580.0  0.0906  06620f390000000200000041\n4200 2026-09-27 07:41:22.829000+00:00  84580.0  0.1327  06620f3a000000020000000e\n4201 2026-09-27 07:41:22.829000+00:00  84580.0  0.1077  06620f3a0000000200000011\n4202 2026-09-27 07:41:22.829000+00:00  84580.0  0.1191  06620f3a0000000200000014\n4203 2026-09-27 07:41:22.829000+00:00  84580.0  0.0473  06620f3a0000000200000017\n4204 2026-09-27 07:41:22.829000+00:00  84580.0  0.0491  06620f3a000000020000001a\n4205 2026-09-27 07:41:22.829000+00:00  84580.0  0.1051  06620f3a000000020000001d\n4206 2026-09-27 07:41:22.829000+00:00  84580.0  0.1378  06620f3a0000000200000020\n4207 2026-09-27 07:41:22.829000+00:00  84580.0  0.0703  06620f3a0000000200000023\n4208 2026-09-27 07:41:22.829000+00:00  84580.0  0.0941  06620f3a0000000200000026\n4209 2026-09-27 07:41:23.533000+00:00  84580.0  0.0848  06620f3b0000000200000002\n4210 2026-09-27 07:41:23.533000+00:00  84580.0  0.0680  06620f3b0000000200000005\n4211 2026-09-27 07:41:23.533000+00:00  84580.0  0.3303  06620f3b0000000200000008\n4212 2026-09-27 07:41:23.533000+00:00  84587.0  0.0002  06620f3b000000020000000b\n4213 2026-09-27 07:41:23.533000+00:00  84605.0  0.0003  06620f3b000000020000000e\n4214 2026-09-27 07:41:23.533000+00:00  84615.0  0.0590  06620f3b0000000200000011\n4215 2026-09-27 07:41:23.533000+00:00  84638.0  0.0018  06620f3b0000000200000014\n4216 2026-09-27 07:41:23.533000+00:00  84638.0  0.0018  06620f3b0000000200000017\n4217 2026-09-27 07:41:23.533000+00:00  84647.0  0.0021  06620f3b000000020000001a\n4218 2026-09-27 07:41:23.533000+00:00  84653.0  0.0017  06620f3b000000020000001d\n4219 2026-09-27 07:41:23.533000+00:00  84653.0  0.0017  06620f3b0000000200000020\n4220 2026-09-27 07:41:23.533000+00:00  84653.0  0.0238  06620f3b0000000200000023\n4221 2026-09-27 07:41:23.533000+00:00  84653.0  0.0016  06620f3b0000000200000026\n4222 2026-09-27 07:41:23.533000+00:00  84653.0  0.0130  06620f3b0000000200000029\n4223 2026-09-27 07:41:23.533000+00:00  84724.0  0.0139  06620f3b000000020000002c\n4224 2026-09-27 07:41:23.533000+00:00  84737.0  0.0024  06620f3b000000020000002f\n4225 2026-09-27 07:41:23.533000+00:00  84795.0  0.0200  06620f3b0000000200000032\n4226 2026-09-27 07:41:23.533000+00:00  84809.0  0.0035  06620f3b0000000200000035\n4227 2026-09-27 07:41:23.533000+00:00  84809.0  0.0031  06620f3b0000000200000038\n4228 2026-09-27 07:41:23.533000+00:00  84812.0  0.0198  06620f3b000000020000003b\n4229 2026-09-27 07:41:24.240000+00:00  84822.0  0.0003  06620f3c0000000200000002\n4230 2026-09-27 07:41:24.240000+00:00  84822.0  0.0003  06620f3c0000000200000005\n4231 2026-09-27 07:42:00.728000+00:00  84600.0  0.0238  06620f6f0000000200000002\n4232 2026-09-27 07:42:00.728000+00:00  84600.0  0.0047  06620f6f0000000200000005\n4233 2026-09-27 07:42:00.728000+00:00  84600.0  0.0018  06620f6f0000000200000008\n4234 2026-09-27 07:42:01.306000+00:00  84600.0  0.0021  06620f700000000200000002\n4235 2026-09-27 07:42:01.306000+00:00  84600.0  0.0017  06620f700000000200000005\n4236 2026-09-27 07:42:01.306000+00:00  84600.0  0.0269  06620f700000000200000008\n4237 2026-09-27 07:42:01.306000+00:00  84600.0  0.0017  06620f70000000020000000b\n4238 2026-09-27 07:42:01.306000+00:00  84600.0  0.0047  06620f70000000020000000e\n4239 2026-09-27 07:42:01.306000+00:00  84600.0  0.0035  06620f700000000200000011\nhyperliquid 07:41 290\n                                     ts       px       sz                 k\n164288 2026-09-27 07:42:52.958000+00:00  84558.0  0.00286   646549520692072\n164289 2026-09-27 07:42:55.416000+00:00  84558.0  0.00610    47211821723400\n164290 2026-09-27 07:42:55.897000+00:00  84558.0  0.00040   573281612700938\n164291 2026-09-27 07:42:56.013000+00:00  84558.0  0.00014   670739544183656\n164292 2026-09-27 07:42:57.239000+00:00  84557.0  0.00287   421864285964709\n164293 2026-09-27 07:42:58.730000+00:00  84558.0  0.00100   854049698140808\n164294 2026-09-27 07:42:59.060000+00:00  84558.0  0.00014  1039817511615809\n164295 2026-09-27 07:42:59.060000+00:00  84557.0  0.00015    35819421535577","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"d584d3a8-b76c-4282-b657-53e2ffbf7880"}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"0f5ac5e9-935d-401a-99f0-d844d805c950"}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":150,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"16f2d54c-00bd-4edc-973c-3a3c6ffe6757"}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":100,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"39bf4ff0-b063-43e9-8b95-80e205f70b6c"}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":100,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"286e507d-d618-4f22-8f17-67d9cc3d14c3"}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":609,"estimated_tokens_delta":109,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"62197887-9130-4390-8eda-a83d605ae98e"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMCATQ9oFzAUarjZYuA","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":8001,"cache_read_input_tokens":13018,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8001},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"f870372b-b659-4c9e-a797-89df9a0b10cf","timestamp":"2026-09-29T20:18:47.435Z","request_id":"req_011CfYMCA74RbuUgcw6oWuHi"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMCATQ9oFzAUarjZYuA","type":"message","role":"assistant","content":[{"type":"text","text":"Checked the large dYdX dislocations. They are real fills: taker orders sweeping a thin order book, not bad data. Now computing the cross-correlations."}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":8001,"cache_read_input_tokens":13018,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8001},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"2b455f52-33ee-411a-8cf7-6f541fbfaab7","timestamp":"2026-09-29T20:18:47.436Z","request_id":"req_011CfYMCA74RbuUgcw6oWuHi"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMCATQ9oFzAUarjZYuA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YFFPGocZzy3b4WFwRkrYVn","name":"Bash","input":{"command":"cd /tmp/peerfeed-a21/work-t2-raw; cat > ana.py <<'EOF'\nimport pandas as pd, numpy as np\nT=pd.read_pickle('trades.pkl')\nidx=pd.date_range('2026-09-27',periods=1440,freq='min',tz='UTC')\ndef closes(tiebreak):\n    C={}\n    for v,df in T.items():\n        df=df.copy()\n        if tiebreak=='file': df=df.sort_index(kind='stable').sort_values('ts',kind='stable')\n        df['m']=df.ts.dt.floor('min')\n        if tiebreak=='vwap_last_ts':\n            last=df.groupby('m').ts.transform('max'); x=df[df.ts==last]\n            c=(x.px*x.sz).groupby(x.m).sum()/x.sz.groupby(x.m).sum()\n        else: c=df.groupby('m').px.last()\n        C[v]=c.reindex(idx)\n    return pd.DataFrame(C)\ndef xc(C,ffill):\n    X=C.ffill() if ffill else C\n    R=np.log(X).diff()   # NaN if either endpoint missing (no ffill)\n    out={}\n    for v in ['edgex','apex','pacifica','dydx']:\n        row={}\n        for k in range(-3,4):\n            a=R[v]; b=R.hyperliquid.shift(-k)   # corr(r_v(t), r_HL(t+k)); k>0 => venue leads\n            m=a.notna()&b.notna(); row[k]=(round(a[m].corr(b[m]),3))\n        row['n0']=int((R[v].notna()&R.hyperliquid.notna()).sum())\n        out[v]=row\n    return pd.DataFrame(out).T\nfor tb in ['file','vwap_last_ts']:\n    C=closes(tb)\n    print('### close def',tb)\n    print('-- no fill (returns only across consecutive traded minutes)'); print(xc(C,False))\n    print('-- ffill'); print(xc(C,True))\n    d=(C.drop(columns='hyperliquid').div(C.hyperliquid,axis=0)-1)*1e4\n    for v in d:\n        i=d[v].abs().idxmax(); print(v,'max|disloc| bp',round(d[v][i],2),i,'venue',C[v][i],'HL',C.hyperliquid[i],'mean',round(d[v].mean(),2),'n',d[v].notna().sum())\n    C.to_pickle(f'close_{tb}.pkl')\nEOF\n/tmp/peerfeed-a21/venv/bin/python ana.py"},"caller":{"type":"direct"}}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":8001,"cache_read_input_tokens":13018,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8001},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"157e2753-ef2f-4acb-9ab9-2c64c93b4150","timestamp":"2026-09-29T20:18:54.093Z","request_id":"req_011CfYMCA74RbuUgcw6oWuHi","wire_tool_inputs":{"toolu_01YFFPGocZzy3b4WFwRkrYVn":{"command":"cd /tmp/peerfeed-a21/work-t2-raw; cat > ana.py <<'EOF'\nimport pandas as pd, numpy as np\nT=pd.read_pickle('trades.pkl')\nidx=pd.date_range('2026-09-27',periods=1440,freq='min',tz='UTC')\ndef closes(tiebreak):\n    C={}\n    for v,df in T.items():\n        df=df.copy()\n        if tiebreak=='file': df=df.sort_index(kind='stable').sort_values('ts',kind='stable')\n        df['m']=df.ts.dt.floor('min')\n        if tiebreak=='vwap_last_ts':\n            last=df.groupby('m').ts.transform('max'); x=df[df.ts==last]\n            c=(x.px*x.sz).groupby(x.m).sum()/x.sz.groupby(x.m).sum()\n        else: c=df.groupby('m').px.last()\n        C[v]=c.reindex(idx)\n    return pd.DataFrame(C)\ndef xc(C,ffill):\n    X=C.ffill() if ffill else C\n    R=np.log(X).diff()   # NaN if either endpoint missing (no ffill)\n    out={}\n    for v in ['edgex','apex','pacifica','dydx']:\n        row={}\n        for k in range(-3,4):\n            a=R[v]; b=R.hyperliquid.shift(-k)   # corr(r_v(t), r_HL(t+k)); k>0 => venue leads\n            m=a.notna()&b.notna(); row[k]=(round(a[m].corr(b[m]),3))\n        row['n0']=int((R[v].notna()&R.hyperliquid.notna()).sum())\n        out[v]=row\n    return pd.DataFrame(out).T\nfor tb in ['file','vwap_last_ts']:\n    C=closes(tb)\n    print('### close def',tb)\n    print('-- no fill (returns only across consecutive traded minutes)'); print(xc(C,False))\n    print('-- ffill'); print(xc(C,True))\n    d=(C.drop(columns='hyperliquid').div(C.hyperliquid,axis=0)-1)*1e4\n    for v in d:\n        i=d[v].abs().idxmax(); print(v,'max|disloc| bp',round(d[v][i],2),i,'venue',C[v][i],'HL',C.hyperliquid[i],'mean',round(d[v].mean(),2),'n',d[v].notna().sum())\n    C.to_pickle(f'close_{tb}.pkl')\nEOF\n/tmp/peerfeed-a21/venv/bin/python ana.py"}}}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YFFPGocZzy3b4WFwRkrYVn","type":"tool_result","content":"### close def file\n-- no fill (returns only across consecutive traded minutes)\n             -3     -2     -1      0      1      2      3      n0\nedgex     0.022  0.046  0.027  0.958  0.051  0.044  0.009  1439.0\napex      0.000  0.047  0.053  0.920  0.063  0.045  0.006  1439.0\npacifica  0.050  0.019  0.310  0.728  0.056  0.040 -0.011  1381.0\ndydx      0.001  0.051  0.195  0.336  0.068 -0.014  0.044   197.0\n-- ffill\n             -3     -2     -1      0      1      2      3      n0\nedgex     0.022  0.046  0.027  0.958  0.051  0.044  0.009  1439.0\napex      0.000  0.047  0.053  0.920  0.063  0.045  0.006  1439.0\npacifica  0.052  0.022  0.307  0.725  0.056  0.042 -0.009  1439.0\ndydx      0.033  0.083  0.195  0.273  0.014  0.023 -0.012  1438.0\nedgex max|disloc| bp -5.51 2026-09-27 06:27:00+00:00 venue 84551.4 HL 84598.0 mean -3.05 n 1440\napex max|disloc| bp -5.68 2026-09-27 08:44:00+00:00 venue 84667.9 HL 84716.0 mean -1.88 n 1440\npacifica max|disloc| bp -11.05 2026-09-27 13:31:00+00:00 venue 84946.0 HL 85040.0 mean -1.3 n 1411\ndydx max|disloc| bp 66.36 2026-09-27 14:29:00+00:00 venue 85248.0 HL 84686.0 mean 1.43 n 409\n### close def vwap_last_ts\n-- no fill (returns only across consecutive traded minutes)\n             -3     -2     -1      0      1      2      3      n0\nedgex     0.021  0.047  0.026  0.960  0.051  0.043  0.012  1439.0\napex     -0.001  0.048  0.050  0.922  0.063  0.045  0.009  1439.0\npacifica  0.051  0.019  0.311  0.730  0.055  0.042 -0.009  1381.0\ndydx      0.033  0.052  0.301  0.436  0.096 -0.024  0.029   197.0\n-- ffill\n             -3     -2     -1      0      1      2      3      n0\nedgex     0.021  0.047  0.026  0.960  0.051  0.043  0.012  1439.0\napex     -0.001  0.048  0.050  0.922  0.063  0.045  0.009  1439.0\npacifica  0.052  0.022  0.308  0.728  0.055  0.043 -0.007  1439.0\ndydx      0.052  0.098  0.252  0.321  0.020  0.025 -0.024  1438.0\nedgex max|disloc| bp -5.51 2026-09-27 06:27:00+00:00 venue 84551.3705882353 HL 84598.0 mean -3.05 n 1440\napex max|disloc| bp -5.6 2026-09-27 07:12:00+00:00 venue 84466.7 HL 84514.0 mean -1.88 n 1440\npacifica max|disloc| bp -10.68 2026-09-27 13:31:00+00:00 venue 84946.0 HL 85036.80260000001 mean -1.29 n 1411\ndydx max|disloc| bp 36.7 2026-09-27 14:29:00+00:00 venue 84996.7918 HL 84686.0 mean 1.41 n 409","is_error":false}]},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"17fb7c09-8cc0-4312-9e78-a42bd8aa75b6","timestamp":"2026-09-29T20:18:54.386Z","tool_use_result":{"stdout":"### close def file\n-- no fill (returns only across consecutive traded minutes)\n             -3     -2     -1      0      1      2      3      n0\nedgex     0.022  0.046  0.027  0.958  0.051  0.044  0.009  1439.0\napex      0.000  0.047  0.053  0.920  0.063  0.045  0.006  1439.0\npacifica  0.050  0.019  0.310  0.728  0.056  0.040 -0.011  1381.0\ndydx      0.001  0.051  0.195  0.336  0.068 -0.014  0.044   197.0\n-- ffill\n             -3     -2     -1      0      1      2      3      n0\nedgex     0.022  0.046  0.027  0.958  0.051  0.044  0.009  1439.0\napex      0.000  0.047  0.053  0.920  0.063  0.045  0.006  1439.0\npacifica  0.052  0.022  0.307  0.725  0.056  0.042 -0.009  1439.0\ndydx      0.033  0.083  0.195  0.273  0.014  0.023 -0.012  1438.0\nedgex max|disloc| bp -5.51 2026-09-27 06:27:00+00:00 venue 84551.4 HL 84598.0 mean -3.05 n 1440\napex max|disloc| bp -5.68 2026-09-27 08:44:00+00:00 venue 84667.9 HL 84716.0 mean -1.88 n 1440\npacifica max|disloc| bp -11.05 2026-09-27 13:31:00+00:00 venue 84946.0 HL 85040.0 mean -1.3 n 1411\ndydx max|disloc| bp 66.36 2026-09-27 14:29:00+00:00 venue 85248.0 HL 84686.0 mean 1.43 n 409\n### close def vwap_last_ts\n-- no fill (returns only across consecutive traded minutes)\n             -3     -2     -1      0      1      2      3      n0\nedgex     0.021  0.047  0.026  0.960  0.051  0.043  0.012  1439.0\napex     -0.001  0.048  0.050  0.922  0.063  0.045  0.009  1439.0\npacifica  0.051  0.019  0.311  0.730  0.055  0.042 -0.009  1381.0\ndydx      0.033  0.052  0.301  0.436  0.096 -0.024  0.029   197.0\n-- ffill\n             -3     -2     -1      0      1      2      3      n0\nedgex     0.021  0.047  0.026  0.960  0.051  0.043  0.012  1439.0\napex     -0.001  0.048  0.050  0.922  0.063  0.045  0.009  1439.0\npacifica  0.052  0.022  0.308  0.728  0.055  0.043 -0.007  1439.0\ndydx      0.052  0.098  0.252  0.321  0.020  0.025 -0.024  1438.0\nedgex max|disloc| bp -5.51 2026-09-27 06:27:00+00:00 venue 84551.3705882353 HL 84598.0 mean -3.05 n 1440\napex max|disloc| bp -5.6 2026-09-27 07:12:00+00:00 venue 84466.7 HL 84514.0 mean -1.88 n 1440\npacifica max|disloc| bp -10.68 2026-09-27 13:31:00+00:00 venue 84946.0 HL 85036.80260000001 mean -1.29 n 1411\ndydx max|disloc| bp 36.7 2026-09-27 14:29:00+00:00 venue 84996.7918 HL 84686.0 mean 1.41 n 409","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"40795cc4-b497-4199-8c01-5684d01eac4d"}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"8c45bf31-db2e-431f-b038-257b385b83db"}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":328,"estimated_tokens_delta":228,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"a97e74c8-a3b7-4b1a-bdd7-5fdc7a1a44ea"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMDMir5SBvFbFF1L7yw","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAQSlwoKEAgSGAI4AUIIdGhpbmtpbmcSDHRXpliwkL5GKdcyRxoMchUMAJ4Sa4/jeUAvIjD1c+R+0Rgm8XZwLIUNwrGrpS/BCwUaSMrnLieLWlpFhBpecz5KPRY4PKZT49TNw1MqtAkpkkR8CDUQvkQ8pVwTIs/pZr4vKEGv6zY+pkMy+zwZJPOHA9hWVW6Na1Emn0YO/2TGPl8eJuyG7rQpbsovjaaVIt1kKNr4Gw9YaNXezBwzLrX8g5PzvFr/zPiR4tpZa+zICZ9JP5LhOTrBhS+Y3eFqNVu2a553gWnOWpKq+IkrM8EWGnRqxPlotCIAGO0Z5Q3u2n65wPd4LD4PkT4QiQlgxQi0yYbHJaKqosh7HxF2ppYm14bFV45ghuh5g2qRAi2AGFz61FzdLLd+DnvYJaZDa1gBrUzqdoz1SQmw1JTyZsg5VD45y6RGNhAhl//+lkrKP+NIpKByPnYelBZQY8603I/Mb79T9KR8J6LRD9Z1dzGskJhDgXSygTnotz8rzgvlobE7t00hDc21nAHJdoOdo/3Qx3SfLumEOmMldy7ILDbJdHu2CIn9lGFIZ0wANixOtGC8lHDNuG4hbhEsJ+Ca0SNAambc5ttxqVqk0nhQnPLh/mXjmTSLhGpEhgfQMltakSwGw3C5F7Ehz3lzwphaDo4xd1pyKxgS1E7dKajzl0ULqMcR3TEmZg+03lG9APE3aipm2xcWQ91vBbpf70QZyOAv58BozOrC4GagdwG/lveB7FlMICPOJkBRNw8Q09NXcUeQhmb+K79ySZx/m0FQL3ScJ7x8pBjHCDy3j3IAoeRmhdOAoK7xByD7AUBosWGGh8rhqOhLWj2IP80y4TLKOG9g9SYLV2znEvNRr865A1X2yXvAoeLh2uveGcSGHMS/xaaf+hOsKe6HB83O/JemqZs9IOYlwF0lI5uUUJDvRgpyKPBeEwaJvlrBDuAUh4d33Ixe1EHXfkPy9s96BmBkuqu+7ZGDgIb34mLUKk7M3zjnG/jaIOHQBnd0eWX/Zh3uPYVe1KAYmRrNULb3loy9HFMmyQrtIGtQuuPaJVAX3ueMjH6YGBc/c92pxo8DRdqREEAR3b4lpmHRqg/BKw5MjapEcGo/jv3dt/TWLdR1ISFlXhK4b4NBOYxD6P99ZIJUgXwRkBMZjvrpA+01FwLYEMrPfrwn4wl/PrgVbuj1ur7yb9m0JKLU6zLRGn7jb28cq2QJjO6+kzHz7hd2a0W0SJlfkNrOOUNWZLjh6D5H1uSUCAo1SuDMyvrYHKb0wzEXauLuWpBDxh9aXclsO2Xfud7RBsuJ3CrFzzlCZK9re4RUKME6mvateG8KeqCpg0GwSJj16yoqxDdPm3gEnbAAiqwhL2ny094xDNyPUa8jXYpC7gyZ6RkC0aGEJpK7fryB+ScQOONYkl08qfp7e3vcskKBfHrBp3D5PQUulGwPC/dhZZV89sDeQ2QN6N6MpugU8FQWvQUibuTHyvYGKImDynRdhdNSSEPyBCaO/vwJeIm+fguS6Zdp+VsYt011Pqcakqx/7HTEgrsPiTIxLjjKaJkWO6tqcdrJtx+zvF3pOCewUV0W1lNP926WnOc7NmBywht+zoG1nZNf8BuODHo3oDxC2va6GHVOI6AWTtuqmMyfHCpqyr/vR+gnA455N+fekX0vBsj8PSW+m1tq/6j1aLd2Flhny4XfiolbUdr/6i6iLAYdQipFuNKVAcpuryeVA/p9GAE="}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2884,"cache_read_input_tokens":21019,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2884},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"dce44e7c-48d6-4721-839d-875a2ed94108","timestamp":"2026-09-29T20:18:57.951Z","request_id":"req_011CfYMDMP1W4NmYocgJcJrF"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMDMir5SBvFbFF1L7yw","type":"message","role":"assistant","content":[{"type":"text","text":"Intra-millisecond tie-breaking changes the Apex and Pacifica maxima, so I'm checking those minutes directly."}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2884,"cache_read_input_tokens":21019,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2884},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"a2e47011-a389-400e-875a-d77363a0f6e2","timestamp":"2026-09-29T20:18:57.952Z","request_id":"req_011CfYMDMP1W4NmYocgJcJrF"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMDMir5SBvFbFF1L7yw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019MgSnJAiUNrLNATXrfEsxw","name":"Bash","input":{"command":"cd /tmp/peerfeed-a21/work-t2-raw; /tmp/peerfeed-a21/venv/bin/python -c \"\nimport pandas as pd\nT=pd.read_pickle('trades.pkl')\ndef show(v,m):\n    a=pd.Timestamp('2026-09-27 '+m,tz='UTC'); d=T[v].sort_index(kind='stable')\n    x=d[(d.ts>=a+pd.Timedelta('55s'))&(d.ts<a+pd.Timedelta('60s'))]; print(v,m); print(x.tail(8).to_string())\nshow('hyperliquid','13:31'); show('pacifica','13:31');show('hyperliquid','13:33');show('pacifica','13:33')\nshow('hyperliquid','08:44'); show('apex','08:44'); show('hyperliquid','07:12'); show('apex','07:12')\n\""},"caller":{"type":"direct"}}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2884,"cache_read_input_tokens":21019,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2884},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"9077aea2-6060-4a2e-9205-4b7ec0d31543","timestamp":"2026-09-29T20:19:00.070Z","request_id":"req_011CfYMDMP1W4NmYocgJcJrF","wire_tool_inputs":{"toolu_019MgSnJAiUNrLNATXrfEsxw":{"command":"cd /tmp/peerfeed-a21/work-t2-raw; /tmp/peerfeed-a21/venv/bin/python -c \"\nimport pandas as pd\nT=pd.read_pickle('trades.pkl')\ndef show(v,m):\n    a=pd.Timestamp('2026-09-27 '+m,tz='UTC'); d=T[v].sort_index(kind='stable')\n    x=d[(d.ts>=a+pd.Timedelta('55s'))&(d.ts<a+pd.Timedelta('60s'))]; print(v,m); print(x.tail(8).to_string())\nshow('hyperliquid','13:31'); show('pacifica','13:31');show('hyperliquid','13:33');show('pacifica','13:33')\nshow('hyperliquid','08:44'); show('apex','08:44'); show('hyperliquid','07:12'); show('apex','07:12')\n\""}}}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019MgSnJAiUNrLNATXrfEsxw","type":"tool_result","content":"hyperliquid 13:31\n                                     ts       px       sz                 k\n215460 2026-09-27 13:31:58.930000+00:00  85037.0  0.00014   725498189228850\n215461 2026-09-27 13:31:58.930000+00:00  85037.0  0.00013   783149269633278\n215462 2026-09-27 13:31:58.930000+00:00  85037.0  0.00051   335813774012435\n215463 2026-09-27 13:31:58.930000+00:00  85037.0  0.00013   971524670708776\n215464 2026-09-27 13:31:58.930000+00:00  85037.0  0.00220  1068003269458197\n215465 2026-09-27 13:31:58.930000+00:00  85039.0  0.00051   293125082761537\n215466 2026-09-27 13:31:58.930000+00:00  85039.0  0.00118   827321186025689\n215467 2026-09-27 13:31:58.930000+00:00  85040.0  0.88808   531767334264295\npacifica 13:31\n                                    ts       px       sz          k\n10246 2026-09-27 13:31:55.973000+00:00  84946.0  0.00117  286750928\n10247 2026-09-27 13:31:56.130000+00:00  84946.0  0.00054  286750932\nhyperliquid 13:33\n                                     ts       px       sz                 k\n216058 2026-09-27 13:33:57.273000+00:00  85082.0  0.01923  1108876395252569\n216059 2026-09-27 13:33:57.273000+00:00  85083.0  0.00012   995886009820516\n216060 2026-09-27 13:33:57.273000+00:00  85084.0  0.00015   233811264487948\n216061 2026-09-27 13:33:57.875000+00:00  85084.0  0.00012   878829016818429\n216062 2026-09-27 13:33:59.349000+00:00  85085.0  0.00065   149858800800218\n216063 2026-09-27 13:33:59.349000+00:00  85085.0  0.00024   812448254460331\n216064 2026-09-27 13:33:59.349000+00:00  85085.0  0.00024   861987505830616\n216065 2026-09-27 13:33:59.349000+00:00  85086.0  0.00407   910241124509577\npacifica 13:33\nEmpty DataFrame\nColumns: [ts, px, sz, k]\nIndex: []\nhyperliquid 08:44\n                                     ts       px       sz                 k\n176272 2026-09-27 08:44:59.432000+00:00  84707.0  0.02602  1028800998664174\n176273 2026-09-27 08:44:59.432000+00:00  84707.0  0.01417   603452777783109\n176274 2026-09-27 08:44:59.432000+00:00  84707.0  0.17419   406034322396433\n176275 2026-09-27 08:44:59.432000+00:00  84707.0  0.00460   549580881286600\n176276 2026-09-27 08:44:59.432000+00:00  84707.0  0.00118  1098557780832437\n176277 2026-09-27 08:44:59.432000+00:00  84710.0  0.00220  1102110260574605\n176278 2026-09-27 08:44:59.432000+00:00  84712.0  0.00236  1086250457683304\n176279 2026-09-27 08:44:59.432000+00:00  84716.0  0.19299   629190567834482\napex 08:44\n                                    ts       px     sz                                     k\n22209 2026-09-27 08:44:57.197000+00:00  84667.9  0.421  1f386e5e-d851-5ff4-8d2f-8cfab0fa66d1\nhyperliquid 07:12\n                                     ts       px       sz                 k\n162084 2026-09-27 07:12:57.260000+00:00  84505.0  0.00280   393543874686360\n162085 2026-09-27 07:12:57.260000+00:00  84505.0  0.00024  1118966778777989\n162086 2026-09-27 07:12:57.260000+00:00  84505.0  0.00024   898774419105106\n162087 2026-09-27 07:12:59.420000+00:00  84514.0  0.11088   904187169641987\n162088 2026-09-27 07:12:59.420000+00:00  84514.0  0.01000   967682508494123\n162089 2026-09-27 07:12:59.420000+00:00  84514.0  0.11400   908085487926041\n162090 2026-09-27 07:12:59.420000+00:00  84514.0  0.06804   228384956497560\n162091 2026-09-27 07:12:59.420000+00:00  84514.0  0.05097    33110105707796\napex 07:12\nEmpty DataFrame\nColumns: [ts, px, sz, k]\nIndex: []","is_error":false}]},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"ff2d8b52-c584-4ab0-9fc6-bed7e07bc2fb","timestamp":"2026-09-29T20:19:00.514Z","tool_use_result":{"stdout":"hyperliquid 13:31\n                                     ts       px       sz                 k\n215460 2026-09-27 13:31:58.930000+00:00  85037.0  0.00014   725498189228850\n215461 2026-09-27 13:31:58.930000+00:00  85037.0  0.00013   783149269633278\n215462 2026-09-27 13:31:58.930000+00:00  85037.0  0.00051   335813774012435\n215463 2026-09-27 13:31:58.930000+00:00  85037.0  0.00013   971524670708776\n215464 2026-09-27 13:31:58.930000+00:00  85037.0  0.00220  1068003269458197\n215465 2026-09-27 13:31:58.930000+00:00  85039.0  0.00051   293125082761537\n215466 2026-09-27 13:31:58.930000+00:00  85039.0  0.00118   827321186025689\n215467 2026-09-27 13:31:58.930000+00:00  85040.0  0.88808   531767334264295\npacifica 13:31\n                                    ts       px       sz          k\n10246 2026-09-27 13:31:55.973000+00:00  84946.0  0.00117  286750928\n10247 2026-09-27 13:31:56.130000+00:00  84946.0  0.00054  286750932\nhyperliquid 13:33\n                                     ts       px       sz                 k\n216058 2026-09-27 13:33:57.273000+00:00  85082.0  0.01923  1108876395252569\n216059 2026-09-27 13:33:57.273000+00:00  85083.0  0.00012   995886009820516\n216060 2026-09-27 13:33:57.273000+00:00  85084.0  0.00015   233811264487948\n216061 2026-09-27 13:33:57.875000+00:00  85084.0  0.00012   878829016818429\n216062 2026-09-27 13:33:59.349000+00:00  85085.0  0.00065   149858800800218\n216063 2026-09-27 13:33:59.349000+00:00  85085.0  0.00024   812448254460331\n216064 2026-09-27 13:33:59.349000+00:00  85085.0  0.00024   861987505830616\n216065 2026-09-27 13:33:59.349000+00:00  85086.0  0.00407   910241124509577\npacifica 13:33\nEmpty DataFrame\nColumns: [ts, px, sz, k]\nIndex: []\nhyperliquid 08:44\n                                     ts       px       sz                 k\n176272 2026-09-27 08:44:59.432000+00:00  84707.0  0.02602  1028800998664174\n176273 2026-09-27 08:44:59.432000+00:00  84707.0  0.01417   603452777783109\n176274 2026-09-27 08:44:59.432000+00:00  84707.0  0.17419   406034322396433\n176275 2026-09-27 08:44:59.432000+00:00  84707.0  0.00460   549580881286600\n176276 2026-09-27 08:44:59.432000+00:00  84707.0  0.00118  1098557780832437\n176277 2026-09-27 08:44:59.432000+00:00  84710.0  0.00220  1102110260574605\n176278 2026-09-27 08:44:59.432000+00:00  84712.0  0.00236  1086250457683304\n176279 2026-09-27 08:44:59.432000+00:00  84716.0  0.19299   629190567834482\napex 08:44\n                                    ts       px     sz                                     k\n22209 2026-09-27 08:44:57.197000+00:00  84667.9  0.421  1f386e5e-d851-5ff4-8d2f-8cfab0fa66d1\nhyperliquid 07:12\n                                     ts       px       sz                 k\n162084 2026-09-27 07:12:57.260000+00:00  84505.0  0.00280   393543874686360\n162085 2026-09-27 07:12:57.260000+00:00  84505.0  0.00024  1118966778777989\n162086 2026-09-27 07:12:57.260000+00:00  84505.0  0.00024   898774419105106\n162087 2026-09-27 07:12:59.420000+00:00  84514.0  0.11088   904187169641987\n162088 2026-09-27 07:12:59.420000+00:00  84514.0  0.01000   967682508494123\n162089 2026-09-27 07:12:59.420000+00:00  84514.0  0.11400   908085487926041\n162090 2026-09-27 07:12:59.420000+00:00  84514.0  0.06804   228384956497560\n162091 2026-09-27 07:12:59.420000+00:00  84514.0  0.05097    33110105707796\napex 07:12\nEmpty DataFrame\nColumns: [ts, px, sz, k]\nIndex: []","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"051084d7-9af0-4d62-a05e-1198dbb4f251"}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"a797e85e-c8fe-4cf1-b566-291b0cd2367b"}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":200,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"f4c96355-b76f-4dc1-abcd-b04593470aca"}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":100,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"d9a0160f-85ea-4921-9f19-f039d211d650"}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":444,"estimated_tokens_delta":44,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"b68bb7a7-fcfa-49ed-9714-6b9b7b9beeba"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMDoxfPyDXngQ8McMYw","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":2252,"cache_read_input_tokens":23903,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2252},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"959bad37-c241-4e7b-acab-210e26c10fb4","timestamp":"2026-09-29T20:19:15.138Z","request_id":"req_011CfYMDod55dxB9NkVdE4wF"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYMDoxfPyDXngQ8McMYw","type":"message","role":"assistant","content":[{"type":"text","text":"I computed both parts. On 2026-09-27, Hyperliquid led Pacifica and dYdX by about a minute. edgeX and ApeX moved with Hyperliquid within the same minute. The largest gap to Hyperliquid was dYdX at +66.4 bp at 14:29 UTC, caused by a real order sweeping dYdX's thin book, not a bad print.\n\n**How the data was built**\n- **Contracts:** BTC on Hyperliquid, BTCUSDC on edgeX, BTCUSDT on ApeX, BTC on Pacifica and BTC-USD on dYdX.\n- **Time window:** All times are UTC, 00:00 to 23:59 on 2026-09-27. The 2-hour files are named in UTC+2 wall-clock time, overlap by about a minute at the edges, and the Hyperliquid and ApeX files also repeat older trades. So I read the 26th to the 28th and filtered on each trade's own timestamp.\n- **Duplicates:** I removed repeated trades by trade ID (6 on Hyperliquid, 11 on edgeX, 1,687 on ApeX, 7,427 on dYdX). No trade ID ever appeared with different contents.\n- **Closing price:** the last trade in each minute. When several trades share the same millisecond, I kept the order they appear in the file. Checks show that order is the fill order: sweeps walk the book in a steady price sequence. Sorting by trade ID instead would be wrong, because Hyperliquid, edgeX and ApeX IDs are random.\n- **Coverage:** Hyperliquid, edgeX and ApeX traded in all 1,440 minutes. Pacifica traded in 1,411. dYdX traded in only 409.\n\n**(1) Cross-correlation of 1-minute log returns with Hyperliquid**\n\nLag k is the correlation between the venue's return at minute t and Hyperliquid's return at minute t+k. A peak at a positive k means the venue leads; a peak at a negative k means Hyperliquid leads.\n\n| venue | −3 | −2 | −1 | 0 | +1 | +2 | +3 | returns used |\n|---|---|---|---|---|---|---|---|---|\n| edgeX | 0.022 | 0.046 | 0.027 | **0.958** | 0.051 | 0.044 | 0.009 | 1439 |\n| ApeX | 0.000 | 0.047 | 0.053 | **0.920** | 0.063 | 0.045 | 0.006 | 1439 |\n| Pacifica | 0.050 | 0.019 | 0.310 | **0.728** | 0.056 | 0.040 | −0.011 | 1381 |\n| dYdX | 0.001 | 0.051 | 0.195 | **0.336** | 0.068 | −0.014 | 0.044 | 197 |\n\n- **Who leads:** Every venue peaks at lag 0, so at 1-minute resolution none of them leads Hyperliquid.\n- **Pacifica** clearly trails Hyperliquid: 0.31 at −1 against 0.06 at +1.\n- **dYdX** also trails: 0.195 at −1 against 0.068 at +1. That is roughly 2.7 standard errors on 197 returns, so it is weaker evidence.\n- **edgeX and ApeX** move in the same minute as Hyperliquid. Their ±1 differences (0.05 or less) are within noise; one standard error is about 0.026.\n\n**(2) Largest absolute 1-minute close dislocation versus Hyperliquid**\n\nThis is (venue close ÷ Hyperliquid close − 1) × 10,000, using only minutes where the venue actually traded.\n\n| venue | largest gap | minute (UTC) | venue close | Hyperliquid close | average gap on the day |\n|---|---|---|---|---|---|\n| edgeX | −5.51 bp | 06:27 | 84,551.4 | 84,598.0 | −3.05 bp |\n| ApeX | −5.68 bp | 08:44 | 84,667.9 | 84,716.0 | −1.88 bp |\n| Pacifica | −11.05 bp | 13:31 | 84,946.0 | 85,040.0 | −1.30 bp |\n| dYdX | +66.36 bp | 14:29 | 85,248.0 | 84,686.0 | +1.43 bp |\n\nThe dYdX gap comes from a single taker order at 14:29:57.920 that walked the book from 84,714 to 85,248. dYdX was back near 84,737 within 8 seconds. Because the fills are genuine I kept them. If you use the volume-weighted price of that last millisecond as the close instead, the gap is +36.7 bp at the same minute. The other venues' maxima are small, which fits their steady average gaps of about −1 to −3 bp.\n\n**Minutes where a venue did not trade**\nI left those minutes empty rather than carrying the last price forward. A return exists only when the venue traded in both minute t−1 and minute t, and each lag uses only the minutes where both series have a return. Dislocations are measured only in minutes where the venue traded. Carrying prices forward would compare stale prices with live ones and create fake catch-up jumps, which make a venue look like it lags. As a check, carrying prices forward leaves edgeX and ApeX unchanged and Pacifica almost unchanged, and lowers dYdX's lag-0 figure to 0.273 (0.195 at −1); none of the conclusions change.\n\n# FINAL ANSWER\n\n**(1) Cross-correlation with Hyperliquid, lags −3..+3** (k > 0 means the venue leads)\n- **edgeX:** 0.022, 0.046, 0.027, **0.958**, 0.051, 0.044, 0.009. Moves in the same minute as Hyperliquid.\n- **ApeX:** 0.000, 0.047, 0.053, **0.920**, 0.063, 0.045, 0.006. Moves in the same minute as Hyperliquid.\n- **Pacifica:** 0.050, 0.019, 0.310, **0.728**, 0.056, 0.040, −0.011. Hyperliquid leads by about 1 minute.\n- **dYdX:** 0.001, 0.051, 0.195, **0.336**, 0.068, −0.014, 0.044. Hyperliquid leads by about 1 minute (weaker evidence: 197 returns).\n- No venue leads Hyperliquid; where anyone leads, it is Hyperliquid.\n\n**(2) Largest absolute dislocation versus Hyperliquid**\n- **edgeX:** −5.51 bp at 06:27 UTC\n- **ApeX:** −5.68 bp at 08:44 UTC\n- **Pacifica:** −11.05 bp at 13:31 UTC\n- **dYdX:** +66.36 bp at 14:29 UTC. This is a real sweep of a thin book; it is +36.7 bp if the close is the volume-weighted price of that last millisecond.\n\n**Judgement calls**\n1. Used the UTC day, filtering on each trade's own timestamp, and removed duplicate trades by ID.\n2. The close is the last trade of the minute; trades in the same millisecond keep file order (fill order), not ID order.\n3. Minutes without trades are left empty, not filled with the last price. Returns and dislocations use only minutes with real trades; each lag uses the minutes where both series have data. Carrying prices forward was run only as a check.\n4. The dYdX sweep was kept because the fills are genuine, and the lower volume-weighted figure is given alongside it.\n\nFiles are in /tmp/peerfeed-a21/work-t2-raw:\n- load.py\n- ana.py\n- trades.pkl\n- close_file.pkl\n- close_vwap_last_ts.pkl"}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2252,"cache_read_input_tokens":23903,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2252},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","uuid":"49afa6d7-409e-41c6-b27c-d454ccbf9e1a","timestamp":"2026-09-29T20:19:28.833Z","request_id":"req_011CfYMDod55dxB9NkVdE4wF"}
{"duration_api_ms":84153,"stop_reason":"end_turn","session_id":"69f49f9c-3960-44a0-8a77-e31dab6b99a8","total_cost_usd":0.3896326,"usage":{"input_tokens":20,"cache_creation_input_tokens":24620,"cache_read_input_tokens":100963,"output_tokens":8620,"output_tokens_details":{"thinking_tokens":2013},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":24620,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":3113,"cache_read_input_tokens":23903,"cache_creation_input_tokens":2252,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2252},"type":"message"}],"speed":"standard"},"modelUsage":{"claude-opus-5-5":{"inputTokens":20,"outputTokens":8620,"cacheReadInputTokens":100963,"cacheCreationInputTokens":24620,"webSearchRequests":0,"costUSD":0.3896326,"contextWindow":1000000,"maxOutputTokens":128000,"thinkingTokens":2013,"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":10,"subtype":"success","api_error_status":null,"result":"I computed both parts. On 2026-09-27, Hyperliquid led Pacifica and dYdX by about a minute. edgeX and ApeX moved with Hyperliquid within the same minute. The largest gap to Hyperliquid was dYdX at +66.4 bp at 14:29 UTC, caused by a real order sweeping dYdX's thin book, not a bad print.\n\n**How the data was built**\n- **Contracts:** BTC on Hyperliquid, BTCUSDC on edgeX, BTCUSDT on ApeX, BTC on Pacifica and BTC-USD on dYdX.\n- **Time window:** All times are UTC, 00:00 to 23:59 on 2026-09-27. The 2-hour files are named in UTC+2 wall-clock time, overlap by about a minute at the edges, and the Hyperliquid and ApeX files also repeat older trades. So I read the 26th to the 28th and filtered on each trade's own timestamp.\n- **Duplicates:** I removed repeated trades by trade ID (6 on Hyperliquid, 11 on edgeX, 1,687 on ApeX, 7,427 on dYdX). No trade ID ever appeared with different contents.\n- **Closing price:** the last trade in each minute. When several trades share the same millisecond, I kept the order they appear in the file. Checks show that order is the fill order: sweeps walk the book in a steady price sequence. Sorting by trade ID instead would be wrong, because Hyperliquid, edgeX and ApeX IDs are random.\n- **Coverage:** Hyperliquid, edgeX and ApeX traded in all 1,440 minutes. Pacifica traded in 1,411. dYdX traded in only 409.\n\n**(1) Cross-correlation of 1-minute log returns with Hyperliquid**\n\nLag k is the correlation between the venue's return at minute t and Hyperliquid's return at minute t+k. A peak at a positive k means the venue leads; a peak at a negative k means Hyperliquid leads.\n\n| venue | −3 | −2 | −1 | 0 | +1 | +2 | +3 | returns used |\n|---|---|---|---|---|---|---|---|---|\n| edgeX | 0.022 | 0.046 | 0.027 | **0.958** | 0.051 | 0.044 | 0.009 | 1439 |\n| ApeX | 0.000 | 0.047 | 0.053 | **0.920** | 0.063 | 0.045 | 0.006 | 1439 |\n| Pacifica | 0.050 | 0.019 | 0.310 | **0.728** | 0.056 | 0.040 | −0.011 | 1381 |\n| dYdX | 0.001 | 0.051 | 0.195 | **0.336** | 0.068 | −0.014 | 0.044 | 197 |\n\n- **Who leads:** Every venue peaks at lag 0, so at 1-minute resolution none of them leads Hyperliquid.\n- **Pacifica** clearly trails Hyperliquid: 0.31 at −1 against 0.06 at +1.\n- **dYdX** also trails: 0.195 at −1 against 0.068 at +1. That is roughly 2.7 standard errors on 197 returns, so it is weaker evidence.\n- **edgeX and ApeX** move in the same minute as Hyperliquid. Their ±1 differences (0.05 or less) are within noise; one standard error is about 0.026.\n\n**(2) Largest absolute 1-minute close dislocation versus Hyperliquid**\n\nThis is (venue close ÷ Hyperliquid close − 1) × 10,000, using only minutes where the venue actually traded.\n\n| venue | largest gap | minute (UTC) | venue close | Hyperliquid close | average gap on the day |\n|---|---|---|---|---|---|\n| edgeX | −5.51 bp | 06:27 | 84,551.4 | 84,598.0 | −3.05 bp |\n| ApeX | −5.68 bp | 08:44 | 84,667.9 | 84,716.0 | −1.88 bp |\n| Pacifica | −11.05 bp | 13:31 | 84,946.0 | 85,040.0 | −1.30 bp |\n| dYdX | +66.36 bp | 14:29 | 85,248.0 | 84,686.0 | +1.43 bp |\n\nThe dYdX gap comes from a single taker order at 14:29:57.920 that walked the book from 84,714 to 85,248. dYdX was back near 84,737 within 8 seconds. Because the fills are genuine I kept them. If you use the volume-weighted price of that last millisecond as the close instead, the gap is +36.7 bp at the same minute. The other venues' maxima are small, which fits their steady average gaps of about −1 to −3 bp.\n\n**Minutes where a venue did not trade**\nI left those minutes empty rather than carrying the last price forward. A return exists only when the venue traded in both minute t−1 and minute t, and each lag uses only the minutes where both series have a return. Dislocations are measured only in minutes where the venue traded. Carrying prices forward would compare stale prices with live ones and create fake catch-up jumps, which make a venue look like it lags. As a check, carrying prices forward leaves edgeX and ApeX unchanged and Pacifica almost unchanged, and lowers dYdX's lag-0 figure to 0.273 (0.195 at −1); none of the conclusions change.\n\n# FINAL ANSWER\n\n**(1) Cross-correlation with Hyperliquid, lags −3..+3** (k > 0 means the venue leads)\n- **edgeX:** 0.022, 0.046, 0.027, **0.958**, 0.051, 0.044, 0.009. Moves in the same minute as Hyperliquid.\n- **ApeX:** 0.000, 0.047, 0.053, **0.920**, 0.063, 0.045, 0.006. Moves in the same minute as Hyperliquid.\n- **Pacifica:** 0.050, 0.019, 0.310, **0.728**, 0.056, 0.040, −0.011. Hyperliquid leads by about 1 minute.\n- **dYdX:** 0.001, 0.051, 0.195, **0.336**, 0.068, −0.014, 0.044. Hyperliquid leads by about 1 minute (weaker evidence: 197 returns).\n- No venue leads Hyperliquid; where anyone leads, it is Hyperliquid.\n\n**(2) Largest absolute dislocation versus Hyperliquid**\n- **edgeX:** −5.51 bp at 06:27 UTC\n- **ApeX:** −5.68 bp at 08:44 UTC\n- **Pacifica:** −11.05 bp at 13:31 UTC\n- **dYdX:** +66.36 bp at 14:29 UTC. This is a real sweep of a thin book; it is +36.7 bp if the close is the volume-weighted price of that last millisecond.\n\n**Judgement calls**\n1. Used the UTC day, filtering on each trade's own timestamp, and removed duplicate trades by ID.\n2. The close is the last trade of the minute; trades in the same millisecond keep file order (fill order), not ID order.\n3. Minutes without trades are left empty, not filled with the last price. Returns and dislocations use only minutes with real trades; each lag uses the minutes where both series have data. Carrying prices forward was run only as a check.\n4. The dYdX sweep was kept because the fills are genuine, and the lower volume-weighted figure is given alongside it.\n\nFiles are in /tmp/peerfeed-a21/work-t2-raw:\n- load.py\n- ana.py\n- trades.pkl\n- close_file.pkl\n- close_vwap_last_ts.pkl","ttft_ms":2535,"type":"result","duration_ms":87062,"uuid":"7ed73839-9c96-4295-8a3f-d251f3cad420","ttft_stream_ms":1139,"time_to_request_ms":38,"first_content_frame_ms":1139,"queued_turn_count":0,"result_index":0}
