claude

marketcalls-vectorbt-backtesting-skills-1

Expert skill for advanced vectorbt backtesting workflows, strategy development, and performance metrics interpretation.

0 on GitHubupdated 6 months agobusiness_ops
/

Plugin marketcalls-vectorbt-backtesting-skills-1 from marketplace cascade-business-ops in joshuarweaver/cascade-business-ops. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (6)

  • backtest

    Quick backtest a strategy on a symbol. Creates a complete .py script with data fetch, signals, backtest, stats, and plots.

  • optimize

    Optimize strategy parameters using VectorBT. Tests parameter combinations and generates heatmaps.

  • quick-stats

    Quickly fetch data and print key backtest stats for a symbol with a default EMA crossover strategy. No file creation needed - runs inline in a notebook cell or prints to console.

  • setup

    Set up the Python backtesting environment. Detects OS, creates virtual environment, installs dependencies (openalgo, ta-lib, vectorbt, plotly), and creates the backtesting folder structure.

  • strategy-compare

    Compare multiple strategies or directions (long vs short vs both) on the same symbol. Generates side-by-side stats table.

  • vectorbt-expert

    VectorBT backtesting expert. Use when user asks to backtest strategies, create entry/exit signals, analyze portfolio performance, optimize parameters, fetch historical data, use VectorBT/vectorbt, compare strategies, position sizing, equity curves, drawdown charts, or trade analysis. Also triggers f

View source on GitHub

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