Artificial-Intelligence-Big-Data-Lab / A-Multi-Layer-and-Multi-Ensembled-Stock-Trader-Using-Deep-Learning-and-Deep-Reinforcement-Learning
☆60Updated 4 years ago
Alternatives and similar repositories for A-Multi-Layer-and-Multi-Ensembled-Stock-Trader-Using-Deep-Learning-and-Deep-Reinforcement-Learning:
Users that are interested in A-Multi-Layer-and-Multi-Ensembled-Stock-Trader-Using-Deep-Learning-and-Deep-Reinforcement-Learning are comparing it to the libraries listed below
- ☆32Updated 4 years ago
- ☆101Updated 2 years ago
- ☆13Updated 6 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆66Updated 3 years ago
- Mean-Variance Optimization using DL (pytorch)☆31Updated 3 years ago
- 🚂💨 Deep Momentum Networks for Time Series Strategies☆118Updated 4 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep …☆80Updated 2 years ago
- Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and …☆41Updated 3 years ago
- The repository contains the code for project for DS 5500 course at Northeastern.☆37Updated 5 years ago
- Pytorch implementation of Axial-LOB from 'Axial-LOB: High-Frequency Trading with Axial Attention'☆54Updated 2 years ago
- Deep Reinforcement Learning Framework for Factor Investing☆26Updated 2 years ago
- This repo contains some codes and outputs of my implementation of DeepLOB model.☆83Updated 4 years ago
- This repository stores the implementation of the paper "DETECTING DATA-DRIVEN ROBUST STATISTICAL ARBITRAGE STRATEGIES WITH DEEP NEURAL NE…☆61Updated last year
- This project implements the two deep reinforcement learning algorithms on portfolio management☆53Updated 6 years ago
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆108Updated 5 years ago
- Notes on Advances in Financial Machine Learning☆78Updated 6 years ago
- Code base for the meta-labeling papers published with the Journal of Financial Data Science☆79Updated 2 years ago
- Pair Trading Strategy using Machine Learning written in Python☆116Updated 2 years ago
- differential Sharpe ratio☆33Updated 5 years ago
- Exploring actor critic deep reinforcement learning methods for maximizing profits by learning stock trading strategies☆10Updated 2 years ago
- Modeling the S&P500 index as a hidden markov model for regime identification and creating a trading algorithm to capitalize on hidden sta…☆33Updated 4 years ago
- ☆23Updated 4 years ago
- ☆23Updated 2 years ago
- ☆71Updated 4 years ago
- Deep Reinforcement Learning For Trading☆106Updated last year
- Automated FOREX trading using recurrent reinforcement learning☆33Updated 2 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…☆57Updated 6 years ago
- Deep Reinforcement Learning for Stock trading task☆20Updated 4 years ago
- This is the code implementation of the paper "Financial Trading as a Game: A Deep Reinforcement Learning Approach".☆85Updated 4 years ago