Meru Quant Helper

**Meru Quant Helper** is a powerful extension designed specifically for quantitative traders using Option Alpha's backtesting platform. This tool automatically calculates Kelly Ratios and provides sophisticated risk management insights directly within your Option Alpha workflow.

**Key Features:**

**Automatic Kelly Ratio Calculation**: The extension seamlessly integrates with Option Alpha's backtest results, automatically extracting win rates, average wins/losses, and calculating the optimal Kelly Ratio using the proven formula: winRate - ((1-winRate)/(avgWin/avgLoss)).

**Advanced Risk Analysis**: Beyond basic Kelly calculations, the extension provides Monte Carlo simulations to estimate maximum drawdown scenarios with statistical confidence intervals. This helps traders understand potential worst-case scenarios and plan their risk management accordingly.

**Multi-Strategy Support**: Handle up to 5 simultaneous backtest comparisons in Option Alpha's interface, with Kelly Ratios calculated for each strategy side-by-side for easy comparison and selection.

**Fractional Kelly Implementation**: The extension displays both full Kelly percentages and conservative fractional Kelly recommendations (typically 25-50% of full Kelly) to help manage volatility and reduce risk of ruin.

**Comprehensive Popup Dashboard**: Access a detailed table view showing all extracted metrics including win rates, average returns, Kelly ratios, recommended capital allocation percentages, estimated CAGR, and projected maximum drawdowns.

**Real-time Integration**: As you navigate through different backtests on Option Alpha, the extension automatically updates calculations and displays results directly in the page interface, maintaining your workflow efficiency.

**Professional Risk Management**: Color-coded displays help quickly identify positive/negative metrics, while statistical projections provide confidence ranges for drawdown estimates based on historical performance data.

Perfect for options traders, portfolio managers, and quantitative analysts who want to optimize position sizing and risk management using mathematically proven Kelly Criterion methodology.