● Models that can simulate trades based on historic data
● Generated trading signals using recurrent neural networks and deep learning
H2O's AI and Data Approaches
● Algorithmic Trading: ML time series algorithms along with NLP (Natural Language processing) produces superior trading strategies.
● Transaction Cost Analysis: Non-parametric machine learning models capture the market impact better than traditional approaches (bid-ask spread, market impact costs and trading commissions)
● Trade Execution: Reinforcement learning (ML Technique) learn the micro-structure of the market dynamically and generates better trade execution strategies in a live trading environment.