DUCKQUANT / THE QUANT & AI DIRECTORY
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The goal of this project was to create a deep-learning trading agent that can be paired with a trading platform to effectively trade equities…
Alpha Factors and Trading Algorithms on Quantopian created by Philip Kiely, Richard Greenbaum, Rudolph Hernandez, and Alex Foster for our Data Mining final
Algorithmic Trading project that examines the Fama-French 3-Factor Model and the Fama-French 5-Factor Model in predicting portfolio returns. The respective
This course, taught by Prof.Jerzy in NYU, applies the R programming language to momentum trading, statistical arbitrage (pairs trading), and other active
Develop about 200 alpha factors from securities report etc, Grid Search/Random Search/Particle Swarm Optimization to improve factors performance
Financial document analysis web based console
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
Python crypto trading bot with configurable technical strategies, backtesting and multi-exchange support.
Credit Risk Model on Machine learning and prediction
Credit Risk Modelling Calculation of PD, LGD, EDA and EL with Machine Learning in Python
Reinforcement Learning Portfolio Optimization Framework
My Financial Industry ML Applications and Credit Risk models for my final project in the Financial Engineering masters program
This repository is for the demonstration of our work, "Market Making with Deep Reinforcement Learning from Limit Order Books"
Limit Order Book data analysis and modeling using LSTM network
JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading
Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al
A Model Context Protocol (MCP) server for Binance.com API. Offers standardized access to spot trading, wallets, staking, simple earn, convert, mining, algo
FOREX Market Simulator is a web application made to simulate the Forex Market exchange and trading operations to practice and understand the work of…
A stock market simulator that generate best trading strategy using machine learning tools
Statistical-rigor audit harness for LLM trading-agent frameworks: leakage firewall, multiple-testing correction (DSR/PSR/SPA), backtest-overfitting
