AlphaSignal AI | Market Analytics & Alert Pipeline

AlphaSignal AI: an engineering project for explainable market-analysis pipelines.

The problem Market indicator calculations and alert follow-ups are difficult to review when data processing, scoring, and alert state are disconnected.

My solution I built a Python analysis backend, a React terminal interface, and a Telegram alert lifecycle.

Key features • Price candles, volume, and large-trade observations • RSI, MACD, EMA, Bollinger Bands, SuperTrend, CMF, and ATR • Scored setups with explanatory context and calculated levels • Cooldowns and follow-up updates • Alert references and target/stop progress persisted across restarts

Engineering notes The visual is a source-based architecture diagram. The private runtime is not a public demo; indicator scores are software outputs, not verified returns or win-probability claims.

Built with: Python · FastAPI · React · Vite · Recharts · Tailwind CSS · Telegram API