Abstract: This study investigates the ability of Transformer models to predict stock trading signals. The Transformer model, focusing on encoder architectures and multi-head attention mechanisms, was ...

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

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

Abstract: Breast cancer is one of the most prevalent and life-threatening diseases among women worldwide, making early and accurate detection crucial for effective treatment. This study presents a ...

Algorithmic trading, once the domain of global hedge funds, is now increasingly relevant for HNIs and family offices in India ...

The modern-day financial markets landscape is powered by speed, automation, and data intelligence. Traders have increasingly ...

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 ...

mean_reversion/ ├── src/ │ ├── data/ # Data infrastructure │ │ ├── providers/ # Data source integrations │ │ ├── storage/ # Data storage and management │ │ └── preprocessing/ # Data cleaning and ...