Sentinel Trade is an AI-based system using Generative Adversarial Networks (GANs) to create realistic synthetic OHLC (Open, High, Low, Close) financial data under different market conditions such as strong bull, bull, flat, bear, and strong bear trends. This tool helps researchers and traders simulate various market scenarios for algorithmic trading to stress-test their strategies. Our experiments show that Sentinel Trade produces highly realistic data that closely matches real market behavior, making it a valuable contribution to AI applications in finance.

Jonathan Hoyin Chan