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 ...

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 ...

The repo is the official implementation for the paper: MaGNet: A Mamba Dual-Hypergraph Network for Stock Prediction via Temporal-Causal and Global Relational Learning. . MaGNet is a Mamba ...