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backtesting-frameworks

Robust backtesting systems

by wshobsonFree

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#1711in AI Skills
0In stores

Description

backtesting-frameworks is an agent skill from the wshobson/agents collection for building backtesting systems for trading strategies. Its go…

Highlights

  • Avoids look-ahead and survivorship bias
  • Models transaction costs, slippage and commissions
  • Event-driven and vectorized backtester designs
  • Walk-forward optimization
  • Monte Carlo simulation for robustness
  • Installs with the skills CLI

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backtesting-frameworks FAQ

What does this skill help build?

Backtesting systems for trading strategies, with attention to bias, transaction costs and robustness.

Which biases does it address?

Look-ahead bias, survivorship bias and overfitting.

Does it give investment advice?

No. It is a software guide for building and testing backtests. It does not recommend a strategy, and past backtest results do not guarantee future performance.

What testing methods are covered?

Walk-forward optimization and Monte Carlo simulation, to check how robust a strategy is.

Which backtester styles are covered?

Event-driven and vectorized implementations.

How do I install it?

Run npx skills add https://github.com/wshobson/agents --skill backtesting-frameworks.

What security audits does it have?

skills.sh lists three audits: Gen Agent Trust Hub Pass, Socket Pass and Snyk Pass.

What are the best backtesting-frameworks alternatives?

Popular alternatives to backtesting-frameworks include ccxt-python, airflow-dag-patterns and async-python-patterns. See all backtesting-frameworks alternatives

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