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    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurf+15 more

    Python Trading Toolkit Pro

    by Timoranjes

    1

    Teaches AI coding agents to build production-grade Python trading tools: portfolio optimization, risk metrics, backtesting frameworks, and live trading connectors. Pro version adds real-time risk moni

    $5

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    See it in action

    You say

    Build a Python script to optimize a portfolio of 5 tech stocks for the maximum Sharpe ratio and include a 4-fold walk-forward backtest.

    Your agent does

    The script uses scipy.optimize (SLSQP) to find weights. It splits data into 252-day training and 63-day test windows across 4 folds. Final OOS Sharpe: 1.42 Max Drawdown: 12.4% Status: Valid (OOS > 50% IS)

    What you get

    Maximize Sharpe ratios using SLSQP optimization constraints.Validate strategies with rolling 4-fold walk-forward analysis.Monitor real-time portfolio risk, leverage, and VaR.Interface with Binance and MT5 using a unified broker class.

    About this skill

    Teaches AI coding agents to build production-grade Python trading tools: portfolio optimization, risk metrics, backtesting frameworks, and live trading connectors. Pro version adds real-time risk monitoring, walk-forward optimization, multi-asset portfolio rebalancing, and broker API integration. For quantitative traders and algo developers.

    trading
    python
    finance
    backtesting
    portfolio-optimization
    quant

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    Timoranjes

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