AI-powered Vibe Investing for NASDAQ, S&P500 & crypto: LLM quant trading tools, multi-agent backtesting, and data-driven market columns (mNAV arbitrage, BTC-Nasdaq coupling, Alpha Arena). 미국 주식·가상화폐 AI 투자 큐레이션·칼럼·트레이딩 봇.

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.

End-to-end algorithmic trading terminal featuring PyTorch LSTM forecasting, NLP market sentiment analysis, Lasso ML feature selection, and vectorbt backtesting. Built for multi-asset quantitative research.

AI-native event-driven trading engine. Rust core with Python RL bindings. Built-in Gymnasium environments, LLM agents, SHAP explainability, and model ensembling — from backtesting to production.

AlphaStream India is a production-grade, real-time investment intelligence terminal designed to empower Indian retail investors. Featuring a Bloomberg-style terminal UI, it integrates Gemini 2.0 Flash, FastAPI, and React 19 to deliver grounded, backtested, and high-alpha investment signals.

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

🛡️ Physics-inspired RegTech toolkit for financial market surveillance. Detects Pump-and-Dump schemes, Wash Trading, and volume-price divergence using price kinematics.

一个面向 AI Agent / 量化实习的多智能体量化研究平台 / A resume-ready multi-agent quantitative research platform for AI Agent & Quant internships

A production-ready GDP nowcasting engine utilizing Mixed-Frequency Dynamic Factor Models (MIDAS) and Kalman Filtering to extract real-time macroeconomic health.

💼Quantitative portfolio management projects covering asset allocation, factor investing, robo-advisory systems, statistical arbitrage, and ESG investing.

A robust Python CLI trading bot for placing Market and Limit orders on the Binance Futures Testnet (USDT-M) with interactive wizard fallbacks.

Evidence engine for trading strategies — audit ideas, detect weak backtests, and generate research reports before risking capital.

🤖Machine learning platform for fraud detection, anomaly identification, and financial transaction monitoring.

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

Financial Intelligence Workstation — A native, cross‑platform desktop terminal with 37 AI agents, 100+ data connectors, 16 broker integrations, QuantLib suite, visual node editor, and embedded Python analytics. Free and open‑source (MIT). Your thinking is the only limit.

Production-grade Hierarchical Multi-Agent Trading System — Custom LLM-powered orchestration, institutional risk management, and pure Price Action engine for MT5. No heavy frameworks. Built from scratch.

An institutional-grade NLP engine utilizing TF-IDF and Naive Bayes to classify financial market sentiment and predict market catalysts from news headlines in real-time.

Multivariate Hawkes process modeling for high-frequency limit order book (LOB) dynamics

Cross-sectional multi-asset research and paper trading engine with walk-forward asset selection, per-asset machine learning models, governance-driven execution, and replay-oriented state architecture.