Systematic Trading Resources and Evidence from Strategy Replications

Summary

This README catalogs resources for researching and implementing systematic trading, including software libraries, strategies from published papers, books, videos, blogs, and courses. It groups tools by functions such as backtesting, live trading, analytics, data, and machine learning, and organizes strategy references by asset class. The document also describes a workflow for inspecting a published strategy, cloning it, and running a browser-based backtest.

Its distinctive evidence summary reports results from thousands of paper replications: the median Sharpe ratio is 0.37, and 48% meet a stated t-statistic threshold. It also reports median positive S&P 500 beta and no measurable post-publication decay in a subset after controlling for market period. These figures are the repository authors’ aggregate findings, not universal estimates; the excerpt provides only a brief account and points elsewhere for methods and caveats. The resource list is broad, but entries and software status can change over time.

Key ideas

• The README organizes systematic trading resources across research tools, strategies, books, media, and courses.
• It groups software by tasks such as backtesting, execution, analytics, data access, and modeling.
• The reported median Sharpe ratio across 4,843 paper replications is 0.37, while 48% clear the stated t-statistic threshold.
• The authors report that the median strategy has positive S&P 500 beta, indicating some measured returns may reflect index exposure.
• The aggregate replication results need to be interpreted with the authors’ methods and stated caveats.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.