Algo Trading & AI
paperswithbacktestAs an insider in Algo Trading and AI, I share my insights. I aim to help you become a professional quant trader and achieve financial independence. Go to the home page at https://paperswithbacktest.com/ to discover the tools I make available to you.
| Platform |  | Pricing | Freemium | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 442 | Founded | 3 years ago | Last Issue | 10 days ago |
| Active | |||||
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blog.paperswithbacktest.comLatest Issues
Average monthly earnings revisions showing the seasonal optimism-to-disappointment pattern
Hello everyone, hope you’re doing well.
Every year, like clockwork, the financial press dusts off the old Wall Street adage: “Sell in May and go away.” And every year, skeptics dismiss it as folklore. But here’s the thing — the data overwh...
Bitcoin Never Sleeps: Exploiting Seasonality, Momentum, and Mean Reversion in a 24/7 Market
How Padysak and Vojtko's research reveals exploitable time-of-day patterns and price-based signals in Bitcoin's round-the-clock trading
Hi there. Hope you’re doing well.
The 7 Reasons Most Machine Learning Funds Fail (And How to Avoid Them)
Marcos López de Prado's battle-tested diagnosis of why ML strategies blow up — and the concrete fixes from his landmark AFML book that separate surviving quant funds from the rest
Hi there. If you’ve ever wondered why so many hedge funds t...
Every Seasonality Effect in Finance, Ranked by Whether It Actually Makes Money
We backtested 15 calendar effects across equities, crypto, and commodities — most are garbage, but a few still print after costs.
Hi there! Hope you are doing well.
Jim Simons: The Mathematician Who Built the Greatest Trading Machine in History
Inside Renaissance Technologies and the Medallion Fund — 66% average annual returns for three decades, and what it means for quantitative traders
Hello everyone, hope you’re doing well. Today we look at the most successful quantitative tra...
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ML engineer with global experience in systematic trading strategies. Proficient in DL/ML, distributed systems, SQL/NoSQL, Docker, Python, TypeScript/JavaScript, modern APIs, and frontend frameworks.
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