About our Technology
Our Methodology
TRAI has developed a multi-layered AI architecture designed specifically for fully autonomous fund management, unifying forecasting, allocation, execution, and risk control into a single, institutionally governed investment framework.
AI Meta-Modeling & Forecasting
Our funds employ Graphon Mean-Field Games, Kalman/EnKF state-space models, and Bayesian updating to forecast asset dynamics under uncertainty.
Gaussian Mixture risk classification further refines market regimes, capturing both systemic interactions and tail-risk exposures in real time.
Hidden Risk Analysis & Algorithmic Bias Reduction
For each financial instrument, over 20 million algorithms run in parallel using two approaches:
Targeted Parameter Optimization
Isolates instrument-specific relationships for risk detection.
Stochastic Parameter Randomization
Removes structural and sampling biases across distributions.
This yields unbiased risk pathways critical for fund-level decision-making.
Dynamic Portfolio Optimization & Metaheuristic Allocation
A meta-learner blends signals from multiple AI experts into portfolio weights optimized with metaheuristic algorithms and the Calmar Ratio, balancing return maximization with drawdown protection and tail-risk resilience.
Execution Integrity & Liquidity Injection
The execution layer embeds anti-spoofing and anti-layering safeguards using probabilistic anomaly detection, ensuring that order flows remain manipulation-free.
Orders are distributed using a stochastic control equation to inject liquidity smoothly, minimizing market impact while supporting fund-level execution efficiency.
AI Index as Supporting Benchmark
A dedicated AI Index provides a rules-based benchmark for performance tracking and product innovation, serving as one supporting element within the broader fund ecosystem rather than its centerpiece.
Continuous R&D & Governance-as-Code
Institutional-grade governance frameworks and governance-as-code controls ensure data integrity, regulatory compliance, and model accountability, while ongoing R&D accelerates the evolution of forecasting modules and optimization algorithms for next-generation fund strategies.
Testing Results
Our AI technology has been proven through extensive backtesting and live performance.
During a 2-year back test
Risk Weighted Returns
Profit over the index
TRAI's Green Zone Philosophy
Breaking the Risk Barrier
We measure average market risk in normal conditions, then assess it again after TRAI's portfolio liquidity enters the market revealing our real impact on reducing risk.
Driving Sustainable Growth
We work to make emerging markets more sustainable by managing liquidity in a way that lowers risks and boosts profitability for all market participants.
Building Market Stability
Through deliberate, AI-powered trading, TRAI strengthens financial market stability while promoting healthy, long-term growth across all sectors.
Delivering Smarter Profits
Our AI systems are designed to achieve exceptional profits while maintaining the highest standards of risk management for investors.