Harsha Matta

Quant Strategy Lab

A strategy lab with deterministic backtesting and an AI/MCP proof of concept.

GitHub & setup ↗
  • Python
  • FastAPI
  • MCP
  • React
Quant Strategy Lab: manual backtest using built-in sample prices

Deterministic backtesting

Choose SMA crossover, RSI reversion, or channel breakout. Set parameters and inspect trades, equity curves, and metrics.

AI + MCP

A proof of concept that translates a request into strategy tool calls. The same backtesting tools are available through MCP.

AI / MCP interface
Quant Strategy Lab AI and MCP configuration interface

Manual screenshot uses built-in sample prices. AI mode requires a configured model.