In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make t…
☆266Jun 24, 2021Updated 4 years ago
Alternatives and similar repositories for Stock-price-prediction-using-GAN
Users that are interested in Stock-price-prediction-using-GAN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- stock prediction with GAN and WGAN☆108Oct 3, 2022Updated 3 years ago
- Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is us…☆450Aug 14, 2020Updated 5 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Feb 24, 2022Updated 4 years ago
- stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)☆36Nov 5, 2019Updated 6 years ago
- A detailed study of four machine learning Techniques(Random-Forest, Linear Regression, Neural-Networks, Technical Indicators(Ex: RSI)) ha…☆25Mar 29, 2024Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators，which help improving perfomance…☆115Oct 15, 2019Updated 6 years 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
- Generative Adversarial Network for Stock Market Price Prediction☆58Dec 9, 2019Updated 6 years ago
- Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction☆428Apr 9, 2022Updated 3 years ago
- This github repo contains my replicate experiments of paper 'Enhancing Stock Movement Prediction with Adversarial Training'.☆20Mar 12, 2021Updated 5 years ago
- Metropolis-Hastings GAN in Tensorflow for enhanced generator sampling☆19Mar 29, 2019Updated 7 years ago
- https://arxiv.org/abs/2006.04992☆19Jun 17, 2021Updated 4 years ago
- ☆11Feb 7, 2021Updated 5 years ago
- Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks☆134Apr 20, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pre…☆5,510Aug 19, 2025Updated 7 months ago
- ☆14Aug 5, 2020Updated 5 years ago
- ☆25Nov 7, 2025Updated 4 months ago
- Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction☆63Sep 3, 2018Updated 7 years ago
- ☆56Aug 2, 2019Updated 6 years ago
- ☆15Oct 25, 2020Updated 5 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆74Aug 1, 2021Updated 4 years ago
- Intra day Stock Prediction 10 minutes into the future☆110Jun 16, 2019Updated 6 years ago
- 量化FOF框架☆13Mar 8, 2019Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- Crypto-Options Volatility Surface Calibration and Arbitrage☆17Dec 26, 2022Updated 3 years ago
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆97Aug 12, 2024Updated last year
- Financial Prior-Data Fitted Network (regression)☆21Dec 12, 2025Updated 3 months ago
- Stock Market Prediction Using Unsupervised Features☆382Jan 23, 2023Updated 3 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Networks to predict stock prices.☆86May 25, 2021Updated 4 years ago
- ☆15May 13, 2020Updated 5 years ago
- ☆11Oct 24, 2025Updated 5 months ago
- ☆14Feb 14, 2021Updated 5 years ago
- Mean-Variance Optimization using DL (pytorch)☆33Mar 26, 2022Updated 4 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- ☆10Sep 18, 2021Updated 4 years ago
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆57Dec 29, 2020Updated 5 years ago
- Stock Price Prediction using CNN-LSTM☆92Jan 20, 2020Updated 6 years ago
- Stock price forecasting stuff with BERT☆33Sep 23, 2020Updated 5 years ago
- HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction☆166Dec 2, 2019Updated 6 years ago
- Stock selection and portfolio performance based on ESG Scores☆14Mar 16, 2021Updated 5 years ago
- time-series-predictoin(LSTNet,SAB,Transformer...)☆143Jan 2, 2019Updated 7 years ago