RESEARCH STREAM 02
CAPITAL AUTONOMY & LIQUIDITY
Applying deep reinforcement learning and attention-based time-series forecasting to navigate the complexities of global capital markets.
Predictive Dynamics
Our forecasting engines leverage Temporal Fusion Transformers (TFTs) to identify non-stationary patterns in high-frequency tick data.
By modeling the Regime Transition Probability, we can anticipate shifts in market volatility before they manifest in price action, allowing for proactive liquidity positioning.
Risk Neutrality
DiffusionAI's risk engine operates on a zero-bias principle. Our agents are trained to maintain delta-neutral postures while capturing alpha from micro-efficiencies.
Real-time adjustment of hedge ratios using RL.
Continuous Monte Carlo testing in latent spaces.
Liquidity Layers
Navigating deep market pools requires a granular understanding of order-book physics and market-impact decay.
Strategic Partnerships
DiffusionAI collaborates with institutional partners to deploy these technologies at scale.
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