Quant Research Assistant

Run quantitative finance analysis, backtests, risk evaluation, and portfolio optimization by chat.

License

MIT License

Source

third_party_registry

Updated

2026-07-07

// securityCaution

Runs locally
Open source
Licensed· MIT License

Running security audit…

Credentials
Network egress
Code execution
Data access
Supply chain

// install

Copy the install command and let the AI configure it · recommended for beginners

No copy-paste install info for "Quant Research Assistant" yet — see the docs or source repo.

// examples

Assess stock risk and market regime

Prompt

Analyze AAPL over the past year. Report volatility, max drawdown, and Sharpe ratio, then use an HMM to identify the current market regime and explain what it means.

Expected

Returns key risk-return metrics, a market regime classification, and a brief interpretation for investment decisions.

Backtest a moving-average strategy

Prompt

Backtest a dual moving-average strategy on SPY using free data: buy when the 20-day MA crosses above the 50-day MA, and sell when it crosses below. Report cumulative return, annualized return, drawdown, win rate, and compare it with buy-and-hold.

Expected

Provides backtest results, core performance metrics, and a comparison against the benchmark strategy.

Optimize a portfolio allocation

Prompt

I have four stocks: AAPL, MSFT, NVDA, and GOOGL. Using the past three years of data, perform mean-variance portfolio optimization and provide the optimal weights, expected return, volatility, and an explanation of the diversification effect.

Expected

Returns recommended weights, estimated portfolio risk and return, and a brief explanation of the allocation rationale.