mirror of
https://github.com/triqbit/mt5-ai-xauusd-trader.git
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google-labs-jules[bot]andtriqbit
2262e9cc73
- Create src/core/trade_logger.py with tables for trades, model_signals, performance_metrics, and risk_events. - Implement TradeLogger class with methods for logging signals, trade executions, risk events, and updating closed trades. - Add read_performance_report() for Sharpe Ratio, Profit Factor, and Max Drawdown calculation. - Configure Alembic for database migrations and generate initial migration. - Integrate TradeLogger into RiskManager for risk event logging. - Integrate TradeLogger into main execution loop for signal and trade lifecycle tracking. - Update timestamps to use timezone-aware datetime.now(timezone.utc) for Python 3.12 compatibility. - Add comprehensive integration tests. Co-authored-by: triqbit <242833443+triqbit@users.noreply.github.com>
27 lines
635 B
Mako
27 lines
635 B
Mako
"""${message}
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Revision ID: ${up_revision}
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Revises: ${down_revision | comma,n}
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Create Date: ${create_date}
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"""
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from typing import Sequence, Union
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from alembic import op
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import sqlalchemy as sa
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${imports if imports else ""}
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# revision identifiers, used by Alembic.
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revision: str = ${repr(up_revision)}
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down_revision: Union[str, None] = ${repr(down_revision)}
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branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
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depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
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def upgrade() -> None:
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${upgrades if upgrades else "pass"}
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def downgrade() -> None:
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${downgrades if downgrades else "pass"}
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