Machine Learning for Trading

Master cutting-edge AI and Machine Learning applications tailored for machine learning for trading course by IIQF. In this 3-month, live online weekend course, you’ll explore modern trading techniques across domains like stealth and gaming algorithms, arbitrage, high-frequency trading, and real-time market signal execution.

Dive deep into quantitative trading strategies—from momentum and mean-reversion to market-neutral methods—before tackling advanced execution tactics like order-book analysis, latency optimization, portfolio optimization, and stop-loss strategy design. 

Build practical skills in statistical and AI/ML modeling, including deep learning frameworks such as RNNs and CNNs, anomaly detection, model optimization, backtesting, and even automated, self-adapting trading bots on simulated platforms.

Sharpen your strategic edge with modules on AI adoption, explainable AI, ethical considerations, and scalable deployment via cloud infrastructure. Prerequisites include a solid foundation in AI/ML techniques and intermediate Python proficiency.