AdaptiveMA: backtest and live signals on real Indian market data.

A mobile app that tests and signals a two-filter strategy across stocks, indices, MCX commodities and mutual funds.

The problem

The trader had a strategy (Comparative RSI against NIFTY plus an Adaptive Moving Average) that lived in spreadsheets and a Python prototype. Testing new symbols was slow, and signals were easy to miss.

How it's built

Expo (React Native) app with Backtest and Signals tabs, auto-alerts and TradingView-style candlestick charts.
Node / Express data layer pulling from several market data sources, with retry and backoff.
Covers equities, indices, MCX commodities and mutual funds.
Strict real-data policy: no mock, hardcoded or simulated values anywhere.
A reliability suite of 24 automated checks that runs before each release.

What shipped

A working mobile app and backend, with deployment scripts and a commercialisation plan.

Clean handoff

Strategy rules, data sources and the deployment process are all documented. The original Python prototype is kept for reference.

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