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Bmours
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Investing
Programmatically collect normalized news from (almost) any website.
Paper list of multi-agent reinforcement learning (MARL)
Build a Stock Screener using FastAPI (Python)
Get the course here: https://deeplearningcourses.com/c/ai-finance
Python wrapper for TA-Lib (http://ta-lib.org/).
Code for Machine Learning for Algorithmic Trading, 2nd edition.
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly …
Stock Trading Bot using Deep Q-Learning
This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated and historical market data. This was inspired by OpenAI Gym …
CS277 Project: Deep Reinforcement Learning in portfolio Management. This repo is the DQN part which implements a trading agent based on the DQN algorithm.
CNN for stock market prediction using raw data & candlestick graph.
Predict stock with LSTM supporting pytorch, keras and tensorflow
Stock Price Prediction Using LSTM
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to…
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
Tensorflow 2 Reinforcement Learning Cookbook, published by Packt
Python for Finance Cookbook, published by Packt
Use deep learning, genetic programming and other methods to predict stock and market movements
Predicting future stock price using genetic algorithm
FinRL®: Financial Reinforcement Learning. 🔥
FinRL® Tutorials. Please star.
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
ffn - a financial function library for Python
Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast

