
MLPortfolios is a public research notebook for investors who want auditable trading systems, honest receipts, and clear thinking about momentum, risk, and machine-learning driven portfolios.
| Platform | Pricing | Freemium | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 20 | Founded | 6 months ago | Last Issue | 8 days ago |
| Active | |||||

Michael Burry’s October 8 essay on the AI cloud oligopoly describes a familiar ambition. The technology giants want artificial intelligence to become another source of monopoly rents, the returns protected by market power, with governments...
A worked comparison of two accounts, plus an optional record for the next decision. The return is hypothetical; the earlier evidence is public.
A stock recommendation returns. One member holds no shares. Another still owns the position the...
I kept lowering my average cost. I was also increasing how much of my account depended on the same stock recovering.
The position began as a daily momentum trade. As its price fell, I bought more. Some purchases followed renewed recommenda...
Three weekly RVMD records show where model allocation ends and a personal holding decision begins.
A model can exit a stock while someone still owns it. The shares remain in the account, the purchase price remains on the screen, and the or...
MLPortfolios studies systematic momentum trading: how to select stocks showing price strength, size positions, and respond as conditions change. Our aim is to make those decisions easier to understand and examine.
The teaching articles and...
Subscribers, engagement, traffic and sponsorship for MLPortfolios.
| Subscribers | Engagement | 68 | Monthly Web Visits | ||
|---|---|---|---|---|---|
| Accepts Sponsors | Estimated Cost per Ad | ||||
The writers behind this newsletter.
Machine-learning driven momentum trading for busy professionals. We teach the thinking behind disciplined investing—momentum, risk, and position sizing. No hype, no guesswork. Execution (stocks, prices, weights) lives inside Whop.
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