We present novel approaches, including latent liquidity modeling, Bayesian toxicity scoring, and reinforcement learning-enhanced high frequency trading Hidden Markviol Models (HMMs), which remain largely undocumented in public literature.

Today, we stand at the precipice of a new revolution, one driven by (Artificial Intelligence) AI Quant  that doesn't just execute pre-programmed commands but actively analyzes, strategizes, and even builds its own operational dashboards.