
My personal Substack
| Platform | Pricing | Only free issues | Publishes | Daily | |
|---|---|---|---|---|---|
| Issues | 13 | Founded | 7 months ago | Last Issue | 2 months ago |
| Active | |||||

If a trading system can perform nearly as well on randomized market data as it does on real market data, you don't have an edge, you have an illusion.
One of the biggest mistakes quantitative traders make is confusing historical profitab...
“Permutation and Randomization Tests for Trading System Development” by Timothy Masters is one of those books that helps us understand that most trading systems do not fail because markets are unknowable. They fail because we fool ourselves...
In Advances in Financial Machine Learning by Marcos López de Prado, de Prado describes ensembles as a combination of multiple models or classifiers whose outputs are aggregated to produce a single prediction, with the goal of improving robu...
Most traders obsess over Profit Factor, Sharpe Ratio, Monte Carlo tests, Walk-Forward testing, and regime filtering. But there is a deeper principle underneath all of it. It does not directly improve your equity curve. It does not optimize...
Most traders spend their time obsessing over individual systems. The perfect entry. The perfect indicator. The one setup that “finally works.” But professional traders, the ones who survive decades, not months, obsess over something very di...
Subscribers, engagement, traffic and sponsorship for Josh's Substack.
| Subscribers | Engagement | 66 | Monthly Web Visits | ||
|---|---|---|---|---|---|
| Accepts Sponsors | Estimated Cost per Ad | ||||
The writers behind this newsletter.
I analyze markets through statistics, systematic testing, and probability theory. I don’t predict prices, I measure edge, stress-test it across regimes, and show how portfolios transform ordinary systems into professional-grade strategies.
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