trading
Quantitative Trading
System track
Production trading systems under real market constraints.
Prediction-market automation, postmortems, and the operational math behind live trading systems.
Guided track Machine-readable 7 posts
Why this cluster exists
Trading systems are only interesting if they survive production. This cluster is about execution, robustness, and market reality.
System object
signal matrix
Best for
quantitative builders and trading-system operators
Start here
The best first read in this track.
Core journey
Read these in order if you want the strongest mental model.
Foundation
The Math Behind Profitable Directional Betting in Binary Markets
Expected value, Kelly criterion, and position sizing for binary prediction markets. The mathematics that separate profitable directional bets from guessing.
How I Built a Self-Tuning Position Sizing System in Python
How to build a self-tuning position sizing system that adjusts bet size based on recent performance — without overfitting or over-reacting to variance.
Applied / adjacent
Supporting angle
Not every important idea belongs in the main reading path.
Use the supporting pieces to deepen the model, test tradeoffs, and connect adjacent ideas without losing the main narrative.
Recommended next
The Math Behind Profitable Directional Betting in Binary Markets
Expected value, Kelly criterion, and position sizing for binary prediction markets. The mathematics that separate profitable directional bets from guessing.