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Khanna, Videh Rakesh Rakesh
fix: load dotenv in ai_forecast, improve top5 5D scoring, harden HF repo IDs
04219e7 metadata
title: PaperTrade
emoji: 📈
colorFrom: blue
colorTo: green
sdk: docker
pinned: false
app_port: 7860
PaperTrade — NSE Indian Equity Prediction Engine
A paper trading system for NSE Indian equities. Predicts short-term price direction (1D/3D/5D) using backtested technical strategies, an ML feature scorer, macro gates, news sentiment, and an LLM-based directional forecast.
Recent Reliability Improvements
- Manual trade entries now attempt a best-effort auto-scan at order time to populate missing strategy, timeframe, and prediction context.
- Post-mortems for manual trades now include concrete trade-window price diagnostics (swing, MFE, MAE, trend) to avoid generic commentary.
- Frontend trade submit now waits for in-flight watchlist context fetch before posting, reducing empty post-mortem context.
- Timeframe calibration in the AI forecast path was tightened to use shallow bearish midpoint ranges and safer weak-bear handling.