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automatedstocktrading-deepq-learning

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 market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

data-science-best-resources

Carefully curated resource links for data science in one place

deep-reinforcement-learning-in-stock-trading

Using deep actor-critic model to learn best strategies in pair trading

deep-reinforcement-stock-trading

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 modular and scalable framework.

deep-rl-trading

playing idealized trading games with deep reinforcement learning

deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

deepreinforcementlearninginaction

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

deeprltrading

Trading Stock with Deep Reinforcement Learning

dqn-ddpg_stock_trading

Using DQN/DDPG for stock trading. Xiong, Z., Liu, X.Y., Zhong, S., Yang, H. and Walid, A., 2018. Practical deep reinforcement learning approach for stock trading, NeurIPS 2018 AI in Finance Workshop.

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

introduction-reinforcement-learning

Implementation of algorithms from "Reinforcement Learning: An Introduction" by Richard Sutton and Andrew Barto

ml-agents

Unity Machine Learning Agents Toolkit

q-trader

Deep Q-learning driven stock trader bot

reinforcement-learning-stocks

Applying Reinforcement learning models for stock price predictions

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

reinforcement_learning_for_stock_prediction

This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube

sharkstock

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement learning algorithm. We implement a sentiment analysis model using a recurrent convolutional neural network to predict the stock trend from the financial news. The objective of this paper is not to build a better trading bot, but to prove that reinforcement learning is capable of learning the tricks of stock trading.

shivswami.github.io

Shiv Swami's Profile

shivswamiai.github.io

stock-prediction

using (reinforcement) Q-learning to predict the stock market. This is a part of OMSCS's ML4T coursework.

stock-price-prediction-lstm-and-trading-strategy-reinforcement-learning

Stock Price Prediction with LSTM and Trading Strategy with Reinforcement Learning

stock-trading-using-machine-learning

A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.

stock_market_reinforcement_learning

stock_market_reinforcement_learning-1

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

stockpredictiondrl

Stock Price Prediction using Deep Reinforcement Learning

stocktradingusingreinforcementlearning

#ML #ReinforcementLearning #PlayingAround

tech-interview-handbook

💯 Materials to help you rock your next coding interview