hawemily / transformers-for-stock-price-prediction
☆28Updated 2 years ago
Alternatives and similar repositories for transformers-for-stock-price-prediction:
Users that are interested in transformers-for-stock-price-prediction are comparing it to the libraries listed below
- Multi Agent Reinforcement learning for Financial Trading☆12Updated last year
- This project is part of my internship at ULiege on Deep RL in stock market trading☆44Updated last year
- This repository stores the implementation of the paper "DETECTING DATA-DRIVEN ROBUST STATISTICAL ARBITRAGE STRATEGIES WITH DEEP NEURAL NE…☆54Updated 10 months ago
- This repository contains the main code used in the paper "Deep Reinforcement Learning for Market Making Under a Hawkes Process-Based Limi…☆53Updated last year
- A financial trading method using machine learning.☆59Updated last year
- Trained an automated stock trading model with companies' fundamental data using FinRL, a Deep Reinforcement Learning library developed by…☆48Updated 3 years ago
- An RL model that uses double deep Q learning to generate an optimal policy of stock market trades☆93Updated 2 years ago
- ☆22Updated 2 years ago
- A Deep Reinforcement Learning neural net for an original Multi-Dimensional Pairs Trading strategy is proposed☆21Updated 6 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆65Updated 3 years ago
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆30Updated 5 years ago
- We introduce the first end-to-end Deep Reinforcement Learning based framework for active high frequency trading.☆59Updated last year
- The repository contains the code for project for DS 5500 course at Northeastern.☆36Updated 5 years ago
- Deep Reinforcement Learning Framework for Factor Investing☆23Updated last year
- Trading multiple stocks using custom gym environment and custom neural network with StableBaselines3.☆48Updated last year
- Deep Q-Learning Applied to Algorithmic Trading☆24Updated 3 months ago
- Deep learning for limit order book trading and mid-price movement☆49Updated 4 years ago
- Jiahao Li, Yong Zhang, Xingyu Yang, and Liangwei Chen. "Online portfolio management via deep reinforcement learning with high-frequency d…☆22Updated last year
- ☆10Updated 2 years ago
- An open-source framework for reduction of overfitting of DRL agents in Finance☆66Updated last year
- This project implements the two deep reinforcement learning algorithms on portfolio management☆50Updated 6 years ago
- High Frequency Jump Prediction Project☆35Updated 4 years ago
- Code relating to the paper - Stock Embeddings: Learning Distributed Representations for Financial Assets☆69Updated last month
- ☆87Updated 6 months ago
- Research Repo (Archive)☆70Updated 4 years ago
- The official implementation of the paper "MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Fo…☆28Updated 11 months ago
- Deep Reinforcement Learning for Stock trading task☆20Updated 3 years ago
- Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and …☆36Updated 3 years ago
- Code base for the meta-labeling papers published with the Journal of Financial Data Science☆78Updated last year
- Option hedging strategies are investigated using two reinforcement learning algorithms: deep Q network and deep deterministic policy grad…☆20Updated 5 years ago