tika
4df8d53b1a
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>
31 lines
1.1 KiB
Python
31 lines
1.1 KiB
Python
from fastapi import APIRouter, Depends, HTTPException, Query
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.core.database import get_db
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from app.services.market_data import MarketDataService
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router = APIRouter(prefix="/candles", tags=["candles"])
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VALID_GRANULARITIES = {"M1", "M5", "M15", "M30", "H1", "H4", "D"}
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@router.get("")
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async def get_candles(
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instrument: str = Query(default="EUR_USD", description="Ex: EUR_USD, GBP_USD, SPX500_USD"),
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granularity: str = Query(default="H1", description="M1, M5, M15, M30, H1, H4, D"),
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count: int = Query(default=200, ge=10, le=5000),
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db: AsyncSession = Depends(get_db),
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):
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if granularity not in VALID_GRANULARITIES:
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raise HTTPException(400, f"Granularité invalide. Valides: {VALID_GRANULARITIES}")
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service = MarketDataService(db)
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df = await service.get_candles(instrument, granularity, count)
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return {
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"instrument": instrument,
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"granularity": granularity,
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"count": len(df),
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"candles": df.to_dict(orient="records") if not df.empty else [],
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}
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