The newsletter · publishing since 2024
The Overfit Newsletter - a free algorithmic trading newsletter. Skip the hype. Trust the data.

The Overfit Newsletter is a free algorithmic trading newsletter with the numbers left in: one evidence-driven takeaway per issue - what was tested, what survived, and what didn't - pointing to the full study on the site. Practical takeaways you can implement. No fear-mongering or hype.
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5,800+ traders read it. Launched in 2024 as The AlgoTrader; renamed Overfit in 2026 - same author, better backtesting engine, expanded thorough takeaways.
Not ready to subscribe? Browse the research archive - every issue is free to read on the site.
On screen: a real issue's study. Read “S&P 500 Drawdowns Since 1870” →
From readers
“99.9% of newsletters I receive are just a pitch for some sale. Ali's are something completely different - every time he picks a topic, he gives the complete analysis.”
- Vitaliy
“I've been learning new trading ideas from Ali's newsletters for several years now… I've used several of the functions in my own trading systems, which have performed well.”
- Bruce H.
“The Algo Trader is a goldmine of trading knowledge. It's both informative and actionable.”
- Amir R.
More unedited reader words on the wall of love.
What you're signing up for
Overfitting is when a model memorizes noise instead of learning the real pattern - it looks accurate on past data and fails the moment it meets anything new. It's the most common way traders fool themselves. The name is a warning label, not a boast: this newsletter exists to help you spot overfitting - in strategies, in market narratives, in your own decision-making - before it costs you.
Each issue delivers one practical takeaway - a finding, a test result, a mistake worth naming - and points to the full article on the site. Topics range across strategy testing and backtests, portfolio construction and risk, market structure and historical data studies, trading psychology, and tactical asset allocation (momentum-based portfolios built from ETF universes).
Practical takeaways you can implement. No fear-mongering or hype. If that's what you're after, there are plenty of other newsletters. This one is for traders who want to understand how things behave, when they break, and why.
Written by Ali Casey, founder of StatOasis and AlgoChef, creator of the Algo Trading Masterclass (ATM), with over 10 years of experience building systematic trading tools - building algorithmic strategies, testing ideas with data, and teaching traders how to build structured, portfolio-based trading workflows.
Recent issues
The last 10 that went out, newest first. Every one is free to read in full on the site.
- Issue 140Can AI Build a Profitable Trading Strategy? I Backtested 5 LLM-Generated Rules on SPY to Find OutAugust 22, 2026
- Issue 139Coin Flip Trading: What Randomness Tells Us About Market BiasOctober 11, 2025 · updated October 11, 2025
- Issue 138Dollar Cost Averaging vs Moving Averages: Why Risk Management Wins Every TimeAugust 17, 2025 · updated September 14, 2025
- Issue 137Keltner Channels vs Bollinger Bands: 116,640 Backtests (and the Third Band I Built)August 2, 2025 · updated August 20, 2026
- Issue 136Larry Connors R3 Strategy — Rebuilt for Index Futures (With a Smarter Filter)July 26, 2025 · updated September 14, 2025
- Issue 134Same Breakout Strategy, Different Results: Nasdaq vs. SP500 vs. DowJune 20, 2025 · updated June 20, 2025
- Issue 133📚 How to Build Profitable Strategies with the CCI IndicatorJune 13, 2025 · updated June 18, 2025
- Issue 132Donchian Channel Strategy: I Backtested '40 In, 20 Out' 1,188 Ways on 33 Years of SPYJune 6, 2025 · updated August 22, 2026
- Issue 131StrategyQuant X Review: The No-Code Way to Build Trading StrategiesMay 30, 2025 · updated August 20, 2026
- Issue 130Cumulative RSI Strategy: A Smarter Twist on RSI(2) for S&P 500May 23, 2025 · updated June 17, 2025
Browse every issue in the archive - searchable, filterable by topic, sortable.
Inside past issues
Every issue is a study, and every study earns its chart. A few from the archive:
All of these are free to read in the Overfit research archive. Subscribing just means the next one finds you.
Before you subscribe
The six things readers ask most, answered without the marketing hedge.
How often does it arrive?
Two or more issues a month. There is no fixed day - an issue goes out when the study behind it is finished, which is the only answer that stays true.
What do I get?
One evidence-driven takeaway per issue, with the numbers left in: what was tested, what survived, and what didn't - plus a link to the full study on the site and its dataset where the study has one.
Is it free?
Yes. There is no paid tier of the newsletter, and every issue's full study is free to read on the site.
Can I read past issues?
Yes. The list above links the ten most recent, and the Overfit research archive holds every one of them - no subscription needed to read.
How do I unsubscribe?
One click in any issue. No confirmation loop, no exit survey.
Is it market commentary or trade signals?
Neither. It is research: what was tested and what the data said. Issues are educational and historical, and nothing in them is investment advice.






