Celes Renata ff5055ee4e fix: backtest replay field mapping and logging ...

- Map DB 'id' field to 'recommendation_id' for evaluate_recommendation()
- Ensure confidence is cast to float (asyncpg may return Decimal)
- Add per-day logging showing rec count, act/skip, positions, pool balance
- Helps diagnose why backtests produce 0 trades

2026-04-15 22:55:26 +00:00

..

__init__.py

feat: autonomous trading engine — full implementation

2026-04-15 16:12:22 +00:00

app.py

feat: wire live decision loop and enable paper trading

2026-04-15 20:52:28 +00:00

backtest_replay.py

fix: backtest replay field mapping and logging

2026-04-15 22:55:26 +00:00

backtester.py

feat: autonomous trading engine — full implementation

2026-04-15 16:12:22 +00:00

circuit_breaker.py

feat: autonomous trading engine — full implementation

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correlation.py

feat: autonomous trading engine — full implementation

2026-04-15 16:12:22 +00:00

engine.py

feat: wire live decision loop and enable paper trading

2026-04-15 20:52:28 +00:00

gradual_entry.py

feat: autonomous trading engine — full implementation

2026-04-15 16:12:22 +00:00

micro_trading.py

feat: autonomous trading engine — full implementation

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models.py

feat: autonomous trading engine — full implementation

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notification_dispatch.py

feat: wire live decision loop and enable paper trading

2026-04-15 20:52:28 +00:00

notifications.py

feat: autonomous trading engine — full implementation

2026-04-15 16:12:22 +00:00

performance_tracker.py

feat: autonomous trading engine — full implementation

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position_sizer.py

feat: autonomous trading engine — full implementation

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rebalancer.py

feat: autonomous trading engine — full implementation

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reserve_pool.py

feat: autonomous trading engine — full implementation

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risk_tier_controller.py

feat: autonomous trading engine — full implementation

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stop_loss_manager.py

feat: autonomous trading engine — full implementation

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tax_lots.py

feat: autonomous trading engine — full implementation

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trading_window.py

feat: autonomous trading engine — full implementation

2026-04-15 16:12:22 +00:00