feat: VWAPBB Trading Strategy for XAUUSD – Full Stack Application#1
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feat: VWAPBB Trading Strategy for XAUUSD – Full Stack Application#1devin-ai-integration[bot] wants to merge 1 commit into
devin-ai-integration[bot] wants to merge 1 commit into
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Backend (Python/FastAPI): - Bollinger Bands, EMA 200 (15m), VWAP indicators - Bullish/bearish engulfing pattern detection - Buy/sell signal generation with trend filtering - Simulated XAUUSD data with realistic price movements Frontend (React/TypeScript/Vite): - Interactive TradingView-style candlestick chart - Real-time indicator overlays (BB, VWAP, EMA 200) - Buy/sell signal markers on chart - Signal panel with trade details - Stats bar with price, VWAP, and signal counts - Dark theme, responsive design Co-Authored-By: Y9 JA <order2ceo@gmail.com>
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🤖 Devin AI EngineerI'll be helping with this pull request! Here's what you should know: ✅ I will automatically:
Note: I can only respond to comments from users who have write access to this repository. ⚙️ Control Options:
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End-to-End Test ResultsTested the VWAPBB Strategy app via browser UI with both servers running locally. Test Results (4/4 passed)
Evidence Screenshots500 Candles — BULLISH Trend (Default)
100 Candles — BEARISH Trend (Trend Filter Proof)
1000 Candles — Large Dataset
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Summary
Full-stack VWAPBB trading strategy application for XAUUSD on the 5-minute timeframe.
Backend (Python/FastAPI):
Frontend (React/TypeScript/Vite):
Review & Testing Checklist for Human
cd backend && python3 -m venv venv && source venv/bin/activate && pip install -r requirements.txt && python main.py→ verify API at http://localhost:8000/docscd frontend && npm install && npm run dev→ verify dashboard at http://localhost:5173Notes
data_provider.pywith a real market data API (MetaTrader, OANDA, etc.).NEAR_THRESHOLDinstrategy.py) is 0.15%, tuned for XAUUSD volatility.VWAPBB_README.mdfor full setup instructions.Link to Devin session: https://app.devin.ai/sessions/83642ac492674913bedb0df88472f4a1
Requested by: @Order2ceo