Lists (13)
Starred repositories
Learning in infinite dimension with neural operators.
The implementation of CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
Reinforcement Learning for Stock Market Prediction
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading mar…
A Deep Reinforcement Learning Framework for Stock Market Trading
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
A feature-rich command-line audio/video downloader
Python APIs for web automation, testing, and bypassing bot-detection with ease.
A high-performance algorithmic trading platform and event-driven backtester
Building and training artificial neural networks (regression or classification) using the genetic algorithm.
Genetic Algorithm Optimization for Trading Strategies
StockFormer: A Swing Trading Strategy Based on STL Decomposition and Self-Attention Networks
PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".
Avellaneda-Stoikov HFT market making algorithm implementation
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resista…
Using tabular and deep reinforcement learning methods to infer optimal market making strategies
Trading Pattern Scanner Identifies complex patterns like head and shoulder, wedge and many more.
Solutions for selected exercises from Advances in Financial Machine Learning by Marcos Lopez De Prado
The Official Repository of Deep Learning for Finance
Scalable, event-driven, deep-learning-friendly backtesting library
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.