CryptoQuant AI is an advanced, open-source quantitative trading platform designed to bridge the gap between algorithmic market execution and artificial intelligence. Built entirely on a modern Node.js, Vite, and TypeScript stack, this project provides a robust, highly responsive frontend dashboard paired with powerful automation capabilities.

Command-line cryptocurrency price predictor that uses an XGBoost regression model trained on historical data from Yahoo Finance to forecast future prices.

🤖 AI-powered NSE India stock analyzer. One command, full 11-indicator analysis. Free for Indian retail investors.

An end-to-end Machine Learning pipeline that predicts next-day price direction (Up/Down) for financial assets using XGBoost, technical feature engineering, and rigorous backtesting methodologies. Built with strict quantitative finance principles to avoid data leakage and false market signals.

AI-powered crypto decision agent that analyzes market data using technical indicators and LLM reasoning to generate buy/sell/hold signals with risk and confidence scoring.

Real-time Global Semiconductor Supply Chain API. Programmatic JSON-LD feed for Nvidia H100, B200, TSMC 3nm/5nm wafer pricing, ASML EUV capacity & silicon spot markets. Optimized for autonomous AI agents, LLM-scrapers & hedge fund quant-trading. Supports HTTP 402 M2M Solana settlement. Essential data for Bloomberg, Reuters & supply chain disruption.

Adaptive volatility-targeting strategy using Hidden Markov Models (HMM) and GARCH, featuring market-specific optimization and rebalancing buffers

Blip-Analysis-Bot: High-performance C#-Trading-Engine & Signal-Aggregator. Features TradingView-Webhooks, Binance-API, and Serverless logic.

Real-time Market Risk Scoring API & Capital Allocator. Powered by Deep Learning (VGMNet), GARCH, and ORAC-NT entropy models.