longfly04 / A-Stock-Prediction-System-with-Deep-LearningView external linksLinks
Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators,which help improving perfomance of predictions.
☆114Oct 15, 2019Updated 6 years ago
Alternatives and similar repositories for A-Stock-Prediction-System-with-Deep-Learning
Users that are interested in A-Stock-Prediction-System-with-Deep-Learning are comparing it to the libraries listed below
Sorting:
- Stock Market Prediction Using Unsupervised Features☆53Sep 15, 2018Updated 7 years ago
- Quantitative analysis with deep learning prediction and reinforcement learning transactions.☆15Aug 5, 2020Updated 5 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆17Oct 17, 2018Updated 7 years ago
- We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cos…☆10Apr 8, 2020Updated 5 years ago
- Deep Reinforcement Learning for Stock trading task☆21Feb 9, 2021Updated 5 years ago
- Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.☆12May 30, 2021Updated 4 years ago
- Apply Box&Tiao to generate stationary price spread series in steel industry commodity futures market for pair trading☆14Dec 11, 2022Updated 3 years ago
- machine learning trading system using random decision tree to train the technical indicators☆10Apr 11, 2017Updated 8 years ago
- This github repo contains my replicate experiments of paper 'Enhancing Stock Movement Prediction with Adversarial Training'.☆20Mar 12, 2021Updated 4 years ago
- A machine learning pipeline that ingest and process a 20-year historical stock price dataset and try to predict future prices using Light…☆16Nov 20, 2020Updated 5 years ago
- Time-Series Momentum Strategies☆12Jul 20, 2018Updated 7 years ago
- 基于机器学习的多因子研究框架☆14Jun 22, 2020Updated 5 years ago
- [Likelihood Lab Project 2024] Official Repository for The Technical Report, Label Unbalance in High-frequency Trading☆30Mar 20, 2025Updated 10 months ago
- tabular q learning for trading☆12Dec 10, 2018Updated 7 years ago
- I use a LSTM ( long short term memory model) model to predict the fluctuations of VIX index ( the index of 50ETF options), and trade t…☆14Apr 25, 2019Updated 6 years ago
- The code for Fuzzy Investment Counselor (FIC) and Markowitz portfolio theory for stock investment☆14Sep 2, 2020Updated 5 years ago
- Build DDPG models and test on stock market☆22Nov 19, 2018Updated 7 years ago
- Pytorch implementation of deep learning models for financial time series forecasting using LOB☆20May 25, 2023Updated 2 years ago
- Please run python train.py to predict time series.☆10Apr 5, 2019Updated 6 years ago
- Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is us…☆447Aug 14, 2020Updated 5 years ago
- ☆20Dec 28, 2016Updated 9 years ago
- This repo contains my reimplementation and improvement of DeepLOB model.☆31Apr 22, 2021Updated 4 years ago
- 基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測☆47Aug 16, 2020Updated 5 years ago
- ☆11Oct 24, 2025Updated 3 months ago
- The Adaptive Multi-Factor (AMF) asset pricing model with the Groupwise Interpretable Basis Selection (GIBS) algorithm.☆10Dec 12, 2021Updated 4 years ago
- In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to …☆265Jun 24, 2021Updated 4 years ago
- Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection☆33Oct 12, 2020Updated 5 years ago
- 基於DA-RNN之DSTP-RNN論文試做(Ver1.0)☆78Aug 16, 2020Updated 5 years ago
- High-performing deep learning trader on a multithreaded financial exchange simulation.☆21Updated this week
- A study on volume-price factor stock selection model based on wavelet transform and multitask self-attention network☆99May 16, 2025Updated 8 months ago
- Time Series Prediction of Volume in LOB☆60Apr 17, 2024Updated last year
- Deep learning models for high-frequency financial data (limited order book)☆19Apr 2, 2019Updated 6 years ago
- ☆21Jun 17, 2025Updated 7 months ago
- Applying Reinforcement learning models for stock price predictions☆25Nov 2, 2018Updated 7 years ago
- ☆10Jul 21, 2019Updated 6 years ago
- FinanceGPT-B☆10Mar 26, 2024Updated last year
- By PyTorch☆142May 29, 2019Updated 6 years ago
- This project is focus on stock prediction,our goal is implementing one trading framework using DRL with LSTM.☆11Jun 1, 2018Updated 7 years ago
- Implementation of seq2seq with attention in keras☆115Apr 8, 2020Updated 5 years ago