feresg / stocktrading-rlLinks
Exploring actor critic deep reinforcement learning methods for maximizing profits by learning stock trading strategies
☆11Updated 2 years ago
Alternatives and similar repositories for stocktrading-rl
Users that are interested in stocktrading-rl are comparing it to the libraries listed below
Sorting:
- Trend Prediction for High Frequency Trading☆42Updated 3 years ago
- ☆32Updated 2 years ago
- Deep q learning on determining buy/sell signal and placing orders☆51Updated 6 years ago
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Updated 8 years ago
- This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting …☆37Updated 5 years ago
- Deep Reinforcement Learning For Trading☆108Updated last year
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆109Updated 6 years ago
- A Deep Reinforcement Learning neural net for an original Multi-Dimensional Pairs Trading strategy is proposed☆21Updated 7 years ago
- apolanco3225 / Deep-Reinforcement-Learning-for-Optimal-Execution-of-Portfolio-Transactions-using-DDPGPerforming a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment…☆58Updated 6 years ago
- Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning☆28Updated 7 years ago
- Code for thesis project on applying reinforcement learning to algorithmic trading☆33Updated 3 years ago
- The repository contains the code for project for DS 5500 course at Northeastern.☆36Updated 6 years ago
- This repository stores the implementation of the paper "DETECTING DATA-DRIVEN ROBUST STATISTICAL ARBITRAGE STRATEGIES WITH DEEP NEURAL NE…☆71Updated last year
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆72Updated 2 years ago
- Deep Reinforcement Learning for Stock trading task☆21Updated 4 years ago
- This code illustrates the use of genetic programming to evolve financial trading strategies for a single equity stock. Individuals (strat…☆25Updated 6 years ago
- An RL model that uses double deep Q learning to generate an optimal policy of stock market trades☆106Updated 3 years ago
- Automated FOREX trading using recurrent reinforcement learning☆34Updated 3 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- A Project of a Reinforcement Learning course. Simulated competing investment strategies through continuous refinement in a virtual stock …☆15Updated 6 years ago
- This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep …☆89Updated 3 years ago
- This project is essentially the implementation of the paper “Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time …☆22Updated 5 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆42Updated 3 years ago
- Pairs Trading with Machine Learning on Distributed Python Platform☆125Updated 3 years ago
- Stock Market Prediction on High-Frequency Data Using soft computing based AI models☆20Updated last year
- ☆27Updated 8 years ago
- Deep learning for price movement prediction using high frequency limit order data☆39Updated 7 years ago
- differential Sharpe ratio☆37Updated 6 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆61Updated 4 years ago
- Stock Market Prediction Using Unsupervised Features☆53Updated 7 years ago