Full-stack trading bot with: - FastAPI backend with ICT strategy (Order Block + Liquidity Sweep detection) - Backtester engine with rolling window, spread simulation, and performance metrics - Hybrid market data service (yfinance + TwelveData with rate limiting + SQLite cache) - Simulated exchange for paper trading - React/TypeScript frontend with TradingView lightweight-charts v5 - Live dashboard with candlestick chart, OHLC legend, trade markers - Backtest page with configurable parameters, equity curve, and trade table - WebSocket support for real-time updates - Bot runner with asyncio loop for automated trading Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
26 lines
1003 B
Python
26 lines
1003 B
Python
from datetime import datetime
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from sqlalchemy import Float, Integer, String, DateTime, UniqueConstraint
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from sqlalchemy.orm import Mapped, mapped_column
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from app.core.database import Base
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class Candle(Base):
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__tablename__ = "candles"
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__table_args__ = (
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# Garantit INSERT OR IGNORE sur (instrument, granularity, time)
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UniqueConstraint("instrument", "granularity", "time", name="uq_candle"),
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)
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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instrument: Mapped[str] = mapped_column(String(20), index=True)
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granularity: Mapped[str] = mapped_column(String(10))
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time: Mapped[datetime] = mapped_column(DateTime, index=True)
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open: Mapped[float] = mapped_column(Float)
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high: Mapped[float] = mapped_column(Float)
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low: Mapped[float] = mapped_column(Float)
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close: Mapped[float] = mapped_column(Float)
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volume: Mapped[int] = mapped_column(Integer, default=0)
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complete: Mapped[bool] = mapped_column(default=True)
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