DUCKQUANT / THE QUANT & AI DIRECTORY
2,336 resources, ranked by in-directory PageRank
This is a repository for enabling collaborative and proper practices for financial machine learning.
FinRL Contest 2025
Apply LSTM neural network and reinforcement learning to trading Forex on mt5.
HAT: Heterogeneous Agent Trade.
Agent Trading Arena has been accepted to EMNLP 2025. DecoupledMarket is our follow-up work accepted to ICML 2026.
Autonomous AI Investment Analyst built entirely in Python. Features hybrid RAG memory, SEC filing analysis, quantitative indicators, and extensible market
FinVerse is a GenAI-powered financial RAG (Retrieval-Augmented Generation) chatbot assistant. It helps users get instant answers to finance-related queries
A production-grade Financial RAG Analyst for fast and accurate question answering over complex financial documents such as 10-K and annual reports. Built using
AlphaFlow ML & DL Trading Bot is an end-to-end machine learning and deep learning trading framework for MetaTrader 5. It covers data loading, feature
An agentic-AI, full-featured quant strategy builder — from a concept to a validated, trained and deployment-ready system: automated alpha mining, backtesting
Agent Based Stock Market Simulation for MATLAB
Agent-based market simulation, using various trading strategies
Multi-agent alpha factor mining system for Vietnam stock market (Fork of Microsoft RD-Agent)
A sophisticated LangGraph-based agent that automates financial options analysis with real-time data from Polygon.io, smart caching, persistent memory, and
This is a repo for deep reinforcement learning in trading. I used value based double DQN variant for single stock trading. The agent learn…
A skeleton for creating a neuro-evolution reinforcement learning trading bot with a Keras neural network
Natural Language Processing on Stocks' Earnings Call Transcripts: An Investment Strategy Backtest Based on S&P Global Papers
This project is part of my internship at ULiege on Deep RL in stock market trading
GPU-Accelerated Multi-Agent Reinforcement Learning for High-Frequency Trading
Agentic paper-trading platform for NSE equities that measures whether AI improves trading, net of its cost: a deterministic, risk-gated engine trades three
About AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading
This project presents the application of a MS-QRNN model designed to estimate Value at Risk accurately by integrating both numerical financial time-series data
Statistical-rigor audit harness for LLM trading-agent frameworks: leakage firewall, multiple-testing correction (DSR/PSR/SPA), backtest-overfitting
Turn any watchlist into a daily AI market research report — a quant research cockpit or a zero-code daily report tool
A script for creating your very own AI-Powered stock screener
Udacity NANODEGREE Program(Partner with World Quant): Projects designed by industry experts, covering topics from asset management to trading signal generation
Build LLM systems you actually control. A free, open engineering book + course — from tokenization to serving your own models. Mechanisms, trade-offs, and
Multi-agent AI trading system using LLM-powered analyst agents (Buffett, Munger, Burry, etc.) with free data sources (SEC EDGAR + yfinance) and Alpaca
Build an Autonomous Web3 AI Trading Agent (BASE + Uniswap V4 example)
A trusted data asset platform for government and organizational collaboration, covering the full lifecycle of data governance, trading, authorization
Agent for USDT-margined perpetual futures on Binance, Bybit, and MEXC. Combines technical analysis context with an LLM
Multi-agent macro trading bot: multi-factor stock scoring, momentum portfolio construction, backtesting vs SPY/Nasdaq, and live Alpaca execution
AlphaSwarm is a starter kit for building LLM-powered AI agents that interpret natural language trading strategies, analyze real-time market signals, and
Vibe Trading — agentic AI trading platform for Indian markets. 7 LLM analyst agents analyze stocks in parallel, debate bull vs bear, and deliver…
Self-Tuning Multi-Agent AI Trading System 2026: 8-Source Signal Fusion & Kronos Model
Paper artifacts, figures, aggregate data, and share cards for the DXRG paper: What LLM Trading Agents Actually Do in Production (six months, two fleets
