Updated 3mo ago
by marketcalls
vectorbt-backtesting-skills
Agentic coding skills for backtesting trading strategies using VectorBT. Supports Indian, US, and Crypto markets with realistic transaction cost modeling, TA-Lib indicators, QuantStats tearsheets, and 12 ready-made strategy templates.
209 GitHub stars (209)
+3 in 16 days
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- 6 skills (6 skills found in its SKILL.md files)
- 47 forks (47 forks)
- 3mo ago last update (Last updated 3mo ago)
Install
Skills CLI
npx skills add marketcalls/vectorbt-backtesting-skills
Asks which skills and agents to install. Just one: npx skills add marketcalls/vectorbt-backtesting-skills --skill backtest — add -g for every project.
Claude Code
git clone https://github.com/marketcalls/vectorbt-backtesting-skillscp -r "vectorbt-backtesting-skills/.claude/skills/backtest" ~/.claude/skills/
Copies the backtest skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add marketcalls/vectorbt-backtesting-skills
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
-
backtest
Quick backtest a strategy on a symbol. Creates a complete .py script with data fetch, signals, backtest, stats, and plots.
.claude/skills/backtest/SKILL.md on GitHub (opens in a new tab) -
optimize
Optimize strategy parameters using VectorBT. Tests parameter combinations and generates heatmaps.
.claude/skills/optimize/SKILL.md on GitHub (opens in a new tab) -
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.
.claude/skills/quick-stats/SKILL.md on GitHub (opens in a new tab) -
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.
.claude/skills/setup/SKILL.md on GitHub (opens in a new tab) -
strategy-compare
Compare multiple strategies or directions (long vs short vs both) on the same symbol. Generates side-by-side stats table.
.claude/skills/strategy-compare/SKILL.md on GitHub (opens in a new tab) -
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 for openalgo.ta helpers (exrem, crossover, crossunder, flip, donchian, supertrend).
.claude/skills/vectorbt-expert/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.
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