AI-driven trading risk management and hedging solution for brokers and trading firms. The platform continuously analyzes market data, technical indicators, trading activity, and customer behavior to determine the optimal hedging strategy in real time
The business challenge was that manual hedging was too slow and difficult to scale. Traders had to continuously monitor thousands of positions, market volatility, liquidity, and exposure, which increased operational risk and could lead to delayed or suboptimal hedge decisions during fast-moving markets
The solution delivered was an AI-driven trading risk and hedging platform that: * Ingests real-time market, trade, technical, and sentiment data. * Uses AI/ML models to analyze exposure and generate hedging decisions. * Determines how trades should be allocated across A-Book, B-Book, and C-Book. * Supports backtesting, model evaluation, and continuous improvement. * Provides a phased path from AI decision + manual execution → semi-automatic → fully automated execution. Includes reporting and decision traceability for operational and regulatory needs
The outcome was a more scalable and consistent approach to trading risk management. The AI reduced reliance on manual hedging, enabled faster responses to market changes, improved exposure management across A-Book, B-Book and C-Book positions, and created a controlled path toward automated execution. It also introduced better backtesting, traceability, and operational controls.
Led development of LLM and autonomous agent platforms, increasing automation coverage by 80% and reducing decision latency by 90%.