See how Langraph powers a multi-agent stock sim with configurable rounds and models, helping you compare trade plans without ...

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...

A robust quantitative trading system that combines multi-stage regime detection with directional forecasting to achieve institutional-grade risk-adjusted returns. Regime-Conditioned Trading Engine/ ...

Creating an effective system to automate your trading can help you achieve two of every trader’s key goals; saving time and making money. But to devise a system that will work for you, you need ...

Anyone preparing for quant interviews must develop depth across several skill areas and know how to apply theory in a ...

Algorithmic trading, once the domain of global hedge funds, is now increasingly relevant for HNIs and family offices in India and abroad. Using pre-defined rules and automated execution enhances ...