A comprehensive quantitative trading system with AI-powered analysis, real-time data processing, and advanced risk management

Open-source AI-driven quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.

🤖 基于深度学习的AI量化投资系统 | Vision-Based Quantitative Trading System with Deep Learning

AI-powered quantitative trading analysis tool with precise technical indicators and intelligent insights

Form Trading Bot is an advanced algorithmic trading system designed to automate and optimize your trading strategies across multiple financial markets. Leveraging cutting-edge AI and quantitative analysis, it executes trades with precision and speed unmatched by manual trading.

QuantTraderDL combines quantitative finance and AI, using TFT models to forecast major indices (S&P 500, Nasdaq, IBEX 35, Dow Jones, EURO STOXX 50) and optimize portfolios. A DRL trading bot adapts to market changes to maximize returns and manage risk with prediction confidence and trend detection.

Professional portfolio showcasing AI/ML projects, algorithmic trading systems, and quantitative finance work. Built with Next.js, TypeScript, and TailwindCSS. Features real-time ECG monitoring, stock analysis AI, and ML pipeline automation.

AI-powered quantitative trading platform in Rust + Python: real-time strategies, risk, and research with Binance, Polars, PostgreSQL, and LLM workflows.

AI-powered quantitative trading system with intelligent market analysis and portfolio management.

The Bloomberg Terminal for Crypto - Professional-grade perpetual DEX protocol with enterprise-grade infrastructure and advanced trading features. Built by a solo developer with AI-powered trading capabilities and comprehensive quantitative analysis tools.

This repository hosts an AI agent that autonomously researches quantitative trading strategies using machine learning. The agent analyzes datasets, experiments with models, and commits updates to enhance trading algorithms. Its tasks include data preprocessing, feature engineering, model training, backtesting, and generating insightful reports.

🤖 Automate cryptocurrency trading with our AI-driven system, integrating advanced language models and quantitative strategies for optimal market performance.

AI-powered quantitative trading platform with autonomous factor discovery, multi-agent orchestration, and production-grade persistence

An AI-powered cryptocurrency trading system built with LangGraph, combining quantitative analysis with Large Language Model decision-making.

QuantWise is an advanced analytics platform merging machine learning with quantitative finance to deliver institutional-grade tools for retail investors. It offers real-time market insights, AI-driven trading strategies, portfolio optimization, and crypto analytics—all in one seamless, user-friendly interface.

nexisAI is a decentralized AI trading framework that integrates reinforcement learning, blockchain, and edge computing for secure, transparent, and efficient trading. Built by NexisAI, it leads AI-blockchain innovation, revolutionizing quantitative trading across traditional finance and crypto markets with advanced automated strategies.

Multi-strategy AI trading agent with regime-aware risk management, confidence calibration, and quantitative portfolio construction. Built for US equities via simulated broker (production version uses Alpaca).

Some quantitative method and AI Algorithms used in trading.

AI-driven quantitative trading engine with autonomous strategy evolution — each cycle devours the last, each iteration sharper than before.

Ultra-professional institutional AI trading platform with real-time market data, quantitative calculators, and predictive AI signals - Bloomberg Terminal / TradingView Pro style interface

Revolutionizing stock prediction with AI and quantitative analysis. This GitHub hosts code notebooks, project docs, and collaboration resources for building an accurate and reliable trading system. Join us: https://discord.gg/7fcCFh7W

An AI-powered quantitative trading system using reinforcement learning agents for autonomous buy/sell decisions, combined with LLM-based sentiment analysis and real-time data. It simulates and backtests strategies, integrating market trends, financial news, and multi-agent coordination for smarter trading.

SentimentQuant is an AI-driven trading system that predicts Bitcoin (BTC/USDT) price movements by combining social media sentiment from X with real-time price data from Binance. Inspired by quantitative trading strategies, it uses advanced machine learning to generate buy/sell signals, achieving a 65% win rate in backtests.

A quantitative trading platform for retail investors with AI assistance || 一个为散户投资者打造的AI驱动量化交易平台，提供简单易用的界面和强大的交易策略支持。

Quantitative trading with AI

Udacity AI for Trading - Quantitative Trading: Trading with Momentum Project

AI-powered quantitative trading platform with backtesting, live charting, and autonomous trading agents

Cross-platform quantitative trading dashboard built in C++ with modular UI, real-time data, and AI/ML backtesting.

HAIQ: Human-AI Quantitative Equity Framework - A hybrid equity research and trading system combining ML models with human decision rules

Automated quantitative trading simulator with 7 algorithmic strategies, real-time backtesting, interactive Plotly charts, and optional Gemini 2.0 AI insights