DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
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RNN model to predict short term price movement (in this case BTC for the next 9 minutes) is used to visualize the model
Technical experimentations to beat the stock market using deep learning :chart with upwards trend
Firstly, multiple effective factors are discovered through IC value, IR value, and correlation analysis and back-testing. Then, XGBoost classification model is…
Reinforce Your Career: Machine Learning in Finance. Extend your expertise of algorithms and tools needed to predict financial markets.
A repo dedicated to building and making insights on financial data using the powerful tools of Machine Learning and AI.
An End-to-end LSTM deep learning model to predict FX rate and then use it in an algorithmic trading bot
Boilerplate/Starter code for trading on binance using Machine Learning. Provides a basic pipeline for data gathering, feature creation, training, testing and…
trials: Select and Trade — unified pair trading with hierarchical reinforcement learning (arXiv:2301.10724)
A walkthrough of using the gym-anytrading environment for reinforcement learning applications leveraging custom datasets.
mbtgym is a module which provides a suite of gym environments for training reinforcement learning (RL) agents to solve model-based high-frequency trading…
MATLAB example on how to use Reinforcement Learning for developing a financial trading model
notebooks containing experiments based on Lopez de Prado book "Advances in financial machine learning". Mostly not deep learning related but rather sklearn…
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double…
base framework trading bot for crypto. Stores data in local mongodb instance and supports backtest and live trading on and which are 12-15th ranked…
Reinforcement Learning for finance.
lstm model using keras to predict msft prices. Data is from which provides some free data through web services. Showing how to use concatenation…
Applying Deep Learning and NLP in Quantitative Trading
implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being…
Practical financial data science examples applying statistics, time series analysis, graph analytics, backtesting, machine learning, natural language.
This is code for Multi-period Learning for Financial Time Series Forecasting (MLF, published in KDD 2025), which incorporates multiple inputs with varying.
Trained an automated stock trading model with companies' fundamental data using FinRL, a Deep Reinforcement Learning library developed by AI4Finance.
Pretrained LLM Adapted with LoRA as a Decision Transformer for Offline RL in Quantitative Trading.
Implementation of Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts.
Predictive Model for Future Stock Price Movement using TensorFlow and Keras.
When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain.
Production-grade multimodal RAG for financial document intelligence. Chart understanding · hybrid retrieval · numeric guardrails · multi-tenancy · full.
LMT (LayeredMemoryTrader) is a multi-agent trading system using LLMs with human-style short/mid/long memory debates.
Free open source crypto AI trading bot prototype.
A quant trading system platform based on FinGPT, demonstrating new applications of large pre-trained Language Models in quantitative finance.
FinRAG: Financial Retrieval Augmented Generation.
Repository for "StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series" accepted by AAAI 2023 Bridge (AI for.
FMS, an agent-based Financial Market Simulator
PyTorch Implementation of "FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting" (FCS & ICAIF 2025 Workshop Best Paper).
Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks.
Chinese Financial Assistant with Large Language Model.
TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using.
