About the Project
RavenQuant is an ongoing trading‑analytics project focused on exploring markets through data‑driven research and practical tools. It combines analytic and research-oriented scripts, pattern scanners, and backtesting studies with clear explanations, aiming to share insights with traders. RavenQuant is a growing knowledge based with a collection of articles and posts that document trading ideas, research workflows, and implementation details.
RavenQuant’s Mission
Build
Design focused tools, strategies, and research workflows that turn trading ideas into concrete, testable systems — so you can see how raw market hypotheses become working code and actionable signals.
Share
Publish selected scripts, dashboards, and research examples openly, giving traders ready‑to‑use starting points they can adapt, extend, or challenge in their own market work.
Educate
Explain concepts, track the market and perform useful analyses using real market cases to help you both learn specific techniques, explore new possibilities and understand the mindset behind disciplined, data‑driven trading.
Latest posts
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Odds of Beating the S&P 500: The Painful Turn After 2015
Research S&P 500 Jan 1996 to Aug 2026 · point-in-time names A random S&P 500 stock beat the index in 48% of the 10-year windows I ran. That reads like a coin flip. Then I cut…
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Seven Largest S&P 500 Companies vs the Rest of the Index, 30 Years
Research I wanted a number for one question. If you had owned only the seven largest S&P 500 companies, and you had rebuilt that list each year from the ranking that already existed, how would that…
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Daybreak v6: €59,000 More and a Much Smaller Drawdown
Strategies US500 €59,000 more Daybreak v6 made about €59,000 more on the same US500 test, and the equity drawdown fell from 31.1% to 10.68%. Balance drawdown went from 29.24% to 21.72%. Same morning breakout. One new…
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