Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators，which help improving perfomance of predictions.
☆115Oct 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Deep Reinforcement Learning for Stock trading task☆21Feb 9, 2021Updated 5 years ago
- Quantitative analysis with deep learning prediction and reinforcement learning transactions.☆15Aug 5, 2020Updated 5 years ago
- Stock Market Prediction Using Unsupervised Features☆53Sep 15, 2018Updated 7 years ago
- machine learning trading system using random decision tree to train the technical indicators☆10Apr 11, 2017Updated 8 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆17Oct 17, 2018Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Apply Box&Tiao to generate stationary price spread series in steel industry commodity futures market for pair trading☆14Dec 11, 2022Updated 3 years ago
- 基于机器学习的多因子研究框架☆14Jun 22, 2020Updated 5 years ago
- Build DDPG models and test on stock market☆22Nov 19, 2018Updated 7 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 …☆266Jun 24, 2021Updated 4 years ago
- Use hidden Markov models to label regimes on S&P 500 data, train three classifiers (naive Bayes, logistic regression, and support vector …☆14Feb 28, 2023Updated 3 years ago
- implementation of ACL2018: Stock Movement Prediction from Tweets and Historical Prices☆12Nov 19, 2018Updated 7 years ago
- [Likelihood Lab Project 2024] Official Repository for The Technical Report, Label Unbalance in High-frequency Trading☆30Mar 20, 2025Updated last year
- Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is us…☆449Aug 14, 2020Updated 5 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
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- 大类资产配置☆11Jun 3, 2021Updated 4 years ago
- This github repo contains my replicate experiments of paper 'Enhancing Stock Movement Prediction with Adversarial Training'.☆20Mar 12, 2021Updated 5 years ago
- Applying Reinforcement learning models for stock price predictions☆25Nov 2, 2018Updated 7 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
- high-frequency grid trading strategy backtesting for binance futures☆25Oct 13, 2022Updated 3 years ago
- 多因子选股框架☆26Dec 9, 2020Updated 5 years ago
- By PyTorch☆142May 29, 2019Updated 6 years ago
- ☆12Jul 28, 2018Updated 7 years ago
- A main CTA backtesting system and several research of utilizing machine learning on asset pricing☆15Dec 9, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Any Stream to Reinforcement Learning Environment (Time Series Data, Stock Market )☆11Oct 10, 2018Updated 7 years ago
- An emerging asset class, the recent surge of popularity in crypto markets has made cryptocurrencies an essential part of investment portf…☆12Jan 22, 2023Updated 3 years ago
- Please run python train.py to predict time series.☆10Apr 5, 2019Updated 6 years ago
- ☆11Oct 24, 2025Updated 5 months ago
- Reproduction of code described in the paper "Stock Market Prediction Based on Generative Adversarial Network" by Kang Zhang et al.☆28Jun 12, 2020Updated 5 years ago
- tabular q learning for trading☆12Dec 10, 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…☆11Apr 8, 2020Updated 5 years ago
- ML pipeline for SmartBeta momentum factor on equity portfolio☆12Jan 25, 2016Updated 10 years ago
- A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement predictio…☆207Oct 28, 2019Updated 6 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Statistical Arbitrage & Algorithmic Trading: time series analysis and the presence of cointegration in cryptocurrency price series.☆11Jan 10, 2019Updated 7 years ago
- ☆11Mar 12, 2021Updated 5 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
- quantitative trading system based on deep learning and reinforcement learning☆53Jun 6, 2018Updated 7 years ago
- Stock price trend prediction with news sentiment analysis using deep learning☆72Mar 30, 2017Updated 8 years ago
- Machine Learning for Quantitative Finance☆25Jun 8, 2018Updated 7 years ago