Yash Ganar

Blog post explaining differences between backtesting and live trading, covering data quality, execution assumptions, slippage, and market microstructure.

Academic paper comparing few-shot, one-shot, and zero-shot learning approaches (co-authored while at Universal College of Engineering).

Blog post discussing realistic applications of AI in trading, common misconceptions, and practical guidance for traders evaluating AI-based systems.

Blog post analyzing zero-code algorithmic trading platforms, their limitations, and what it takes to become a successful quantitative trader.

Conference paper presenting reinforcement-learning approaches to autonomous intersection control (co-author).