List of awesome resources for machine learning-based algorithmic trading
☆2,052Aug 8, 2023Updated 3 years ago
Alternatives and similar repositories for awesome-deep-trading
Users that are interested in awesome-deep-trading are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Quant/Algorithm trading resources with an emphasis on Machine Learning☆4,076May 21, 2025Updated last year
- A list of online resources for quantitative modeling, trading, portfolio management☆4,225Jun 15, 2024Updated 2 years ago
- Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Ti…☆2,358Aug 27, 2022Updated 4 years ago
- Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.☆1,924Feb 11, 2024Updated 2 years ago
- Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Str…☆11,083Jun 20, 2026Updated 4 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A curated list of practical financial machine learning tools and applications.☆8,815Jan 3, 2025Updated last year
- A curated list of awesome algorithmic trading frameworks, libraries, software and resources☆1,006May 21, 2019Updated 7 years ago
- Quantitative analysis, strategies and backtests☆3,050Aug 26, 2023Updated 3 years ago
- 🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.☆6,681Sep 8, 2026Updated last month
- MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable…☆4,949Oct 2, 2023Updated 3 years ago
- Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations☆9,507Apr 16, 2023Updated 3 years ago
- Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.☆21,514Updated this week
- An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.☆7,221Feb 19, 2026Updated 8 months ago
- A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)☆30,246Updated this week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Algorithmic trading framework for cryptocurrencies.☆1,700Jan 7, 2026Updated 9 months ago
- FinRL®: Financial Reinforcement Learning. 🔥☆16,784Updated this week
- Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.☆1,787Mar 1, 2024Updated 2 years ago
- Hands-On Machine Learning for Algorithmic Trading, published by Packt☆1,936Jan 18, 2023Updated 3 years ago
- Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy☆1,398Jul 2, 2020Updated 6 years ago
- Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]☆1,976Dec 8, 2022Updated 3 years ago
- Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent☆966Jan 12, 2022Updated 4 years ago
- A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep rei…☆690Nov 6, 2024Updated last year
- FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading☆3,845Sep 18, 2026Updated last month
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in …☆1,105Aug 13, 2023Updated 3 years ago
- Statistical and Algorithmic Investing Strategies for Everyone☆3,323Jul 30, 2022Updated 4 years ago
- Portfolio analytics for quants, written in Python☆7,735Sep 27, 2026Updated 3 weeks ago
- A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, a…☆5,320Updated this week
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆558Jul 12, 2021Updated 5 years ago
- Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau☆2,085May 4, 2025Updated last year
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆110Sep 12, 2019Updated 7 years ago
- Deep Learning based Python Library for Stock Market Prediction and Modelling☆2,340Jan 17, 2021Updated 5 years ago
- Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.☆771Updated this week
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Portfolio optimization with deep learning.☆1,193Jan 24, 2024Updated 2 years ago
- This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equ…☆843Apr 1, 2024Updated 2 years ago
- Machine Learning in Asset Management (by @firmai)☆1,755Dec 17, 2021Updated 4 years ago
- High-performance TensorFlow library for quantitative finance.☆5,534Aug 6, 2026Updated 2 months ago
- The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.☆9,489Updated this week
- Using python and scikit-learn to make stock predictions☆1,964Jun 17, 2024Updated 2 years ago
- In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pre…☆5,601Aug 19, 2025Updated last year