ppoak/BearAlpha

Quant finance Portal based on project BearAlpha. This project contains strategy back test framework with backtrader, database construct with BearAlpha, factor analyze based on BearAlpha, and financial researches on paper or report with research

40
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Emerging

This tool helps quantitative traders and financial researchers evaluate potential stock trading strategies. You input historical stock data and your proposed trading rules, and it outputs an analysis of how that strategy would have performed over time, including key financial metrics. It's designed for anyone who needs to rigorously backtest investment hypotheses before deployment.

No commits in the last 6 months. Available on PyPI.

Use this if you are a quantitative analyst, fund manager, or researcher needing to systematically test and analyze the performance of various financial trading strategies against historical market data.

Not ideal if you're looking for a simple stock screening tool or real-time trading execution platform, as its primary focus is on historical strategy backtesting and research.

quantitative-finance strategy-backtesting algorithmic-trading financial-research portfolio-management
No License Stale 6m
Maintenance 0 / 25
Adoption 6 / 25
Maturity 17 / 25
Community 17 / 25

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Stars

17

Forks

11

Language

Python

License

Last pushed

Aug 09, 2022

Commits (30d)

0

Dependencies

11

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