Gradient Boosting Machine learning model trained to forecast hourly ERCOT Demand. Feature engineering included auto-regressive features, temporal features, and weather features.

A portfolio of various quantitative strategies deployed on polymarket, including but not limited to market making, arbitrage, stat-arb strategies.

Market-making algorithm for perpetual futures. Provides liquidity on Hyperliquid with optimized order placement and dynamic inventory management.

Sports betting arbitrage finder that identifies risk free arbitrage between various sportsbooks in real time. Plans to convert this into a production ready system.

Analysis of mining costs, energy inputs, and production efficiency to create a global cost of production index. This index represents the global cost to mine a single bitcoin in USD.

Exploring pairs trading across crypto, equities, and commodities. Identifies and validates mean reversion opportunities using quantitative analysis.