marketcalls/vectorbt-backtesting-skills

Optimize creates VectorBT parameter-search scripts for trading strategies. It tests combinations, plots heatmaps, and compares the best results against a NIFTY benchmark.

Quick Stats generates an inline EMA 10/20 backtest and prints key performance metrics for a symbol. Use it in a notebook cell or console when you want a fast summary without creating files.

Setup sets up the Python backtesting environment for VectorBT and OpenAlgo. Use it to create a virtualenv, install dependencies, create the backtesting folder, and write a project .env file.

Strategy Compare generates a side-by-side backtest table for multiple strategies on the same symbol. It can also compare long, short, and benchmark results and plot overlaid equity curves.

VectorBT Backtesting creates a complete Python backtest script for a named strategy and symbol. It is used to fetch data, generate signals, run a portfolio test, compare against a benchmark, and export plots and trades.

VectorBT Backtesting Expert backtests trading strategies, generates entry and exit signals, and analyzes portfolio performance with benchmarks. Use it for parameter optimization, drawdowns, equity curves, position sizing, and trade analysis.