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.
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.
Command-line cryptocurrency price predictor that uses an XGBoost regression model trained on historical data from Yahoo Finance to forecast future prices.
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.
End-to-end machine learning pipeline for XAUUSD price prediction, including data preprocessing, feature engineering, model training, and evaluation.
🛡️ 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
🤖 AI-powered NSE India stock analyzer. One command, full 11-indicator analysis. Free for Indian retail investors.
A production-ready GDP nowcasting engine utilizing Mixed-Frequency Dynamic Factor Models (MIDAS) and Kalman Filtering to extract real-time macroeconomic health.
Autonomous, self-improving multi-swarm AI platform.
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.
Evidence engine for trading strategies — audit ideas, detect weak backtests, and generate research reports before risking capital.
Adaptive volatility-targeting strategy using Hidden Markov Models (HMM) and GARCH, featuring market-specific optimization and rebalancing buffers
Multivariate Hawkes process modeling for high-frequency limit order book (LOB) dynamics
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.
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.
Research-backed time-series momentum backtester that tests 12-month trend-following signals, volatility targeting, transaction costs, parameter robustness, and walk-forward evaluation across ETFs.
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.
Algorithmic trading logic designed for XAUUSD (Gold) that automates market structure mapping and executes engulfing candlestick entries.
Quantitative finance machine learning pipeline engineered to predict short-horizon market returns from anonymized tabular data using an optimized LightGBM ensemble architecture
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