Research

Published papers, preprints, and academic contributions.

Momentum-Based Trading Strategies in Crude Oil ETFs And Futures

Siddhant Shah, Eugene Pinsky

Technical Analysis of STOCKS & COMMODITIES

Research on momentum-based trading strategies in crude oil ETFs and futures, developing long-short models yielding up to 19.9% annualized returns over an 18-year testing period.

Research Momentum Strategies Crude Oil ETFs Futures

The Silver Lining of Daily Bitcoin Trading

Siddhant Shah, Eugene Pinsky

Technical Analysis of STOCKS & COMMODITIES

Strategy leveraging overnight silver returns to predict Bitcoin price movements, exhibiting lower drawdowns in a 10-year backtest with 68.65% annualized returns.

Cryptocurrency Bitcoin Silver Cross-Asset Trading Predictive Modeling

Estimating the Accuracy of a Bagged Ensemble

Siddhant Shah, Eugene Pinsky

Machine Learning and Applications: An International Journal (MLAIJ)

Probabilistic framework to reduce computational overhead in model fine-tuning, using various distributions to estimate Random Forest performance with less than 3% relative error.

Machine Learning Random Forests Ensemble Methods Probabilistic Modeling Computational Efficiency
DOI: 10.5121/mlaij.2025.12106