Upcoming: Premier League AI Simulation Model
Following the framework built for our MLS analytics, we are expanding our predictive modeling pipeline to the English Premier League!
* Note: The season kicks off one week later than usual to allow critical recovery time for players following the 2026 FIFA World Cup.
Automated Live System for MLS Soccer Analytics
This section showcases a fully automated algorithmic data pipeline for MLS (Major League Soccer), operating live in real-time to track bankroll development, performance metrics, and historical profit curves continuously.
Mathematical Framework
- • Kalman Filtering: Tracks performance and home advantage.
- • Bayesian Shrinkage: Secures long-term stability.
- • Dynamic Noise: Filters randomness via market odds.
- • Joseph's Covariance: Ensures numerical stability.
- • Multi-Variable: Weights goals, xG, and shots on target.
Live Team Rankings
Real-time Kalman-calibrated team strengths. This list filters out noise and temporary slumps to identify MLS's most undervalued and overvalued teams compared to official league standings.
Top 5: Kalman Strongest
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Bottom 5: Overvalued
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Automated Stock Trading System
This section showcases my fully automated algorithmic stock trading pipeline, operating live in real-time to track portfolio development, asset allocations, and historical profit curves continuously.
Mathematical Framework
- • Multi-Variable: Evaluates composite market signals.
- • Probability Modeling: Calculates price deviation probabilities.
- • Z-Score Evaluation: Measures fair value vs. market price.
- • Kelly Sizing: Optimizes position sizing based on edge.
- • Risk Controls: Enforces strict portfolio limits and safety caps.