marketcalls/vectorbt-backtesting-skills

backtest

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

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…

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.