by marketcalls · Agent Tool · ★ 167
VectorBT Backtesting Skills for Agentic Coding Tools A comprehensive collection of backtesting skills for trading strategies using VectorBT. Works with 40+ AI coding agents via skills.sh — including Claude Code, Cursor, Codex, OpenCode, Cline, Windsurf, GitHub Copilot, Gemini CLI, Roo Code, and more. Supports Indian markets, US markets, and Crypto markets with realistic transaction cost modeling, OpenAlgo indicators (100+, TA-Lib available on request), market-specific benchmarking, OpenStatz tearsheets, and robustness testing.
| Stars | 167 |
| Forks | 42 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 73.1409807490205/100 |
| Open Issues | 3 |
| Last Updated | 2026-07-07 |
| Created | 2026-02-25 |
| Platforms | python |
| Est. Tokens | ~17k |
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vectorbt-backtesting-skills is 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, . It is categorized as a Agent Tool with 167 GitHub stars.
vectorbt-backtesting-skills is primarily written in Python. It covers topics such as agent-skills, backtesting, monte-carlo.
You can find installation instructions and usage details in the vectorbt-backtesting-skills GitHub repository at github.com/marketcalls/vectorbt-backtesting-skills. The project has 167 stars and 42 forks, indicating an active community.