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SkillHub ClubAnalyze Data & AIFull StackData / AI

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).

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
100
Hot score
94
Updated
March 20, 2026
Overall rating
C2.7
Composite score
2.7
Best-practice grade
B73.6

Install command

npx @skill-hub/cli install marketcalls-vectorbt-backtesting-skills-vectorbt-expert

Repository

marketcalls/vectorbt-backtesting-skills

Skill path: .claude/skills/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).

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Full Stack, Data / AI.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: marketcalls.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install vectorbt-expert into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/marketcalls/vectorbt-backtesting-skills before adding vectorbt-expert to shared team environments
  • Use vectorbt-expert for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.