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 ...

HMM-regime-DQN-trader-Peru/ ├── src/ │ ├── __init__.py │ ├── ingest.py # Data ingestion (yfinance, FRED, Excel, sentiment) │ ├── preprocess.py # Data preprocessing and feature engineering │ ├── ...

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

Every investor has a moment when a brilliant idea pops into their head and they’re suddenly convinced they’ve cracked the market’s secret code. But ideas are cheap, and markets are not, so the real ...

The remote work revolution transformed countless industries, but trading was already ahead of the curve. While other professionals scrambled to adapt to home offices in 2020, traders had been working ...

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 ...