Marketplace
optimize
Optimize strategy parameters using VectorBT. Tests parameter combinations and generates heatmaps.
Resumen
Su SKILL.md se queda en GitHub
Este repositorio no tiene una licencia que le permita a Deska mostrar sus archivos aquí. Lee el SKILL.md en GitHub antes de instalarla.
Archivos 1 archivo
Instálala a mano
Deska ejecuta esto por ti, para cada agente que elijas. Para ejecutarlo tú en una terminal:
npx skills add marketcalls/vectorbt-backtesting-skills --skill optimizeMás de marketcalls
- backtestmarketcallsQuick backtest a strategy on a symbol. Creates a complete .py script with data fetch, signals, backtest, stats, and plots.3,200 instalaciones en skills.sh0
- vectorbt-expertmarketcallsVectorBT 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 for openalgo.ta helpers (exrem, crossover, crossunder, flip, donchian, supertrend).2,800 instalaciones en skills.sh0
- strategy-comparemarketcallsCompare multiple strategies or directions (long vs short vs both) on the same symbol. Generates side-by-side stats table.2,200 instalaciones en skills.sh0
- quick-statsmarketcallsQuickly 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.1,900 instalaciones en skills.sh0
- setupmarketcallsSet up the Python backtesting environment. Detects OS, creates virtual environment, installs dependencies (openalgo, ta-lib, vectorbt, plotly), and creates the backtesting folder structure.1,900 instalaciones en skills.sh0
