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DataPython

VectorBT Backtesting Expert

by marketcalls

VectorBT Backtesting Expert is a Data skill for Claude Code, published by marketcalls in vectorbt-backtesting-skills.

200 stars43 forkson marketcalls/vectorbt-backtesting-skillsAdded 2026/09/05Repository updated 2026/07/12
View source on GitHubDownload repo ZIP
agent-skillsbacktestingmonte-carlooptimizationpythonquantstatsrobustnesstearsheetsvectorbtwalk-forward
Install in seconds
Install VectorBT Backtesting Expert
Copy VectorBT Backtesting Expert into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/marketcalls/vectorbt-backtesting-skills/tree/master/.claude/skills/vectorbt-expert ~/.claude/skills/vectorbt-expert

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/marketcalls/vectorbt-backtesting-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
.claude/skills/vectorbt-expert/SKILL.md in marketcalls/vectorbt-backtesting-skills
Installs to
~/.claude/skills/vectorbt-expert
Collection
One of 6 skills cataloged from this repository
Category
Data — 762 skills

What VectorBT Backtesting Expert does

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.

VectorBT Backtesting Expert is cataloged under Data on DirSkills. VectorBT Backtesting Expert comes from a repository tagged agent-skills, backtesting, monte-carlo, optimization and python.

Frequently asked about VectorBT Backtesting Expert

  • What else does marketcalls publish alongside VectorBT Backtesting Expert?

    VectorBT Backtesting Expert is one of 6 skills that DirSkills catalogs from marketcalls/vectorbt-backtesting-skills, the repository it ships in. Its siblings there include Optimize, Quick Stats and Setup. Each one is a separate skill with its own page in this directory, installs the same way VectorBT Backtesting Expert does, and is maintained by marketcalls in that same repository. The rest of the collection is listed on the marketcalls/vectorbt-backtesting-skills page.

  • How does VectorBT Backtesting Expert compare to other Data skills?

    VectorBT Backtesting Expert ranks #702 by stars among the 762 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of VectorBT Backtesting Expert against them. Open each page to compare what they document and how they install.

More from marketcalls/vectorbt-backtesting-skills

VectorBT Backtesting Expert is one of 6 skills cataloged on DirSkills from marketcalls/vectorbt-backtesting-skills.

See all 6 skills →
📈
46m ago

Optimize

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

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.
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⚙️
46m ago

Setup

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.
DevOps
20043
📊
46m ago

Strategy Compare

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.
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20043
📈
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VectorBT Backtesting

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.
AI Engineering
20043

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VectorBT Backtesting Expert is one of 762 Data skills cataloged on DirSkills, ranked #702 by stars among them.

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Jupyter Notebook

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Solana

Solana queries wallets, token holdings, transactions, NFTs, whale transfers, and network stats on the Solana blockchain with USD pricing via CoinGecko. Use it when you need to inspect an address, verify a transaction, check token metadata or prices, or monitor network health.
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