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wshobson

Backtesting Frameworks

Implement and analyze trading strategy backtests using Python frameworks like Backtrader, Zipline, or VectorBT.

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Free

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0

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About

Guides quantitative trading strategy development and backtesting using Python frameworks, covering strategy implementation, data pipeline setup, performance metrics (Sharpe ratio, drawdown, alpha/beta), and common biases to avoid (lookahead, survivorship). Part of the wshobson/agents multi-agent orchestration system.

By wshobson

Identity GitHub wshobson

What the agent sees

name

skills-sh-wshobson-agents-backtesting-frameworks

description

Implement and analyze trading strategy backtests using Python frameworks like Backtrader, Zipline, or VectorBT.

Tags

backtestingtradingquantitative-financepythondata-analysisfinanceTools: skills-cli, external-adapter, upstream-install

Technical details

Source repoOriginal GitHub linkPublisher site

Source repo

https://github.com/wshobson/agents

Original GitHub link

https://github.com/wshobson/agents

Publisher site

https://skills.sh/wshobson/agents/backtesting-frameworks

Packaging note

Imported from the public skills.sh trending snapshot fetched at 2026-03-18T00:58:16.450Z. Snapshot rank #220 with 3900 weekly installs. Bundle files are not mirrored into Forgedemy.

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