8d89fe80ff
- Archive: 85 agent .txt files → docs/archive/agents/legacy_txt/ - Scripts: Move 110 shell scripts → scripts/ (keep deploy.sh in root) - Models: Move 18 .safetensors → ml/models/checkpoints/training_artifacts/ - Delete: 34 directories (~33GB freed) - target/, coverage_*, test artifacts - Build: Clean 14 build artifacts (.rlib, .o, .pid, binaries) - Tests: Move 14 .rs files → tests/standalone/ - SQL: Move 5 files → sql/ (keep init-db*.sql for Docker) - Wave 153: Archive to docs/archive/historical/wave153/ - Docs: Archive 9 markdown files to wave_d/reports/ and historical/ Total impact: ~34GB freed (both waves), root directory cleaned from 583 to ~40 essential files Directory count reduced from 65 to 31 (52% reduction) All historical data preserved in organized archive structure
40 lines
1.0 KiB
SQL
40 lines
1.0 KiB
SQL
-- Debug script for stop-loss integration test
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-- Check if regime state exists
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SELECT 'Regime State:' as step;
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SELECT symbol, regime, confidence FROM regime_states WHERE symbol = 'NQ.FUT' ORDER BY event_timestamp DESC LIMIT 1;
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-- Check if market data exists
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SELECT 'Market Data Count:' as step;
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SELECT COUNT(*) as bar_count FROM prices WHERE symbol = 'NQ.FUT';
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-- Check market data values
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SELECT 'Market Data Sample:' as step;
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SELECT
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high::FLOAT8 / 100.0 as high,
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low::FLOAT8 / 100.0 as low,
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close::FLOAT8 / 100.0 as close
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FROM prices
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WHERE symbol = 'NQ.FUT'
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ORDER BY timestamp DESC
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LIMIT 5;
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-- Test ATR calculation manually
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SELECT 'Manual ATR Check:' as step;
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WITH bars AS (
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SELECT
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high::FLOAT8 / 100.0 as high,
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low::FLOAT8 / 100.0 as low,
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close::FLOAT8 / 100.0 as close,
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timestamp
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FROM prices
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WHERE symbol = 'NQ.FUT'
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ORDER BY timestamp DESC
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LIMIT 20
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)
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SELECT
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AVG(high - low) as avg_range,
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MAX(high - low) as max_range,
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MIN(high - low) as min_range
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FROM bars;
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