How does TRW utilize AI in trading?

We apply machine learning models to identify non-linear relationships across order books, high-frequency tick databases, and macroeconomic datasets. This includes using NLP to extract sentiment.

What is an AI trading copilot?

An AI trading copilot, like Strat AI, is an assistant that processes real-time volatility, volume skews, and historical patterns to supply traders with risk assessments and probability metrics.

Research Domain

Artificial Intelligence Research

Explore TRW's research in Financial AI, deep machine learning models, neural networks, and automated market intelligence copilots.

Financial AI & DeepTech

TRW engineers advanced machine learning infrastructure optimized specifically for high-speed financial computation. We publish research covering recurrent neural networks, transformer models for order stream prediction, and automated reinforcement learning setups.

Recent Publications

Publications exploring the frontier of machine learning in financial markets.

Artificial IntelligencePreprint

Machine Learning Approaches to Order Flow Prediction in Indian Equity Markets

We investigate the application of machine learning techniques to predict short-term order flow dynamics in the Indian equity market. Using a novel dataset of level-2 order book snapshots from the NSE, we compare the predictive performance of gradient boosting, LSTM networks, and transformer-based architectures for forecasting order imbalance, trade direction, and short-term price movements. Our results demonstrate that attention-based models achieve superior performance in capturing the complex, non-linear relationships inherent in high-frequency order flow data.

TRW AI Research Lab, Quantitative Engineering Division·April 2026