stock prediction with GAN and WGAN
☆106Oct 3, 2022Updated 3 years ago
Alternatives and similar repositories for Stock-prediction-with-GAN-and-WGAN
Users that are interested in Stock-prediction-with-GAN-and-WGAN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to …☆270Jun 24, 2021Updated 5 years ago
- Multi-Factor Stock Profit Prediction Using EMD-ALSTM☆29Oct 21, 2019Updated 6 years ago
- 量化FOF框架☆13Mar 8, 2019Updated 7 years ago
- 多因子选股框架☆27Dec 9, 2020Updated 5 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Feb 24, 2022Updated 4 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.
- Airflow tutorial for beginner☆77Aug 21, 2022Updated 3 years ago
- Enhance the gplearn package to support precise three-dimensional structured dimension genetic programming (GP), with a particular focus …☆36Aug 26, 2024Updated last year
- stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)☆36Nov 5, 2019Updated 6 years ago
- ☆11Oct 24, 2025Updated 9 months ago
- Use metropolis hasting to enhance gan on stock prediction☆14Jul 2, 2023Updated 3 years ago
- Using a Quantum Computing variant of a Long Short Term Memory model as the generator for a Generative Adversial Network used for time-ser…☆14Jan 2, 2024Updated 2 years ago
- ☆19May 22, 2021Updated 5 years ago
- Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction☆439Apr 9, 2022Updated 4 years ago
- ☆14Aug 28, 2020Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆12Jul 19, 2020Updated 6 years ago
- ☆36May 20, 2024Updated 2 years ago
- 数字货币-程序化24*365小时自动策略交易PC客户端☆25Jul 27, 2022Updated 4 years ago
- ☆12Apr 17, 2021Updated 5 years ago
- Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is us…☆456Aug 14, 2020Updated 5 years ago
- In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pre…☆5,582Aug 19, 2025Updated 11 months ago
- Mean-Variance Optimization using DL (pytorch)☆33Mar 26, 2022Updated 4 years ago
- Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.☆13May 30, 2021Updated 5 years ago
- WindTurbineHighSpeedBearingPrognosis-Data☆10Aug 19, 2020Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code relating to the paper - Stock Embeddings: Learning Distributed Representations for Financial Assets☆81Jul 14, 2026Updated 2 weeks ago
- This is a program for strategic asset allocation research for negative investment FOF.☆14Jul 26, 2020Updated 6 years ago
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators，which help improving perfomance…☆117Oct 15, 2019Updated 6 years ago
- I built a real-time streaming data pipeline using kafka, consuming deribit-api-v2 limit order book prices 📈 and transforming them into …☆25Aug 10, 2022Updated 3 years ago
- high-frequency grid trading strategy backtesting for binance futures☆26Oct 13, 2022Updated 3 years ago
- ☆15Sep 15, 2019Updated 6 years ago
- Multi Task Learning Time Series Momentum☆26May 18, 2024Updated 2 years ago
- For Chinese comments, the Finbert model was used to conduct polarity analysis and predict stock price rise☆25Dec 26, 2020Updated 5 years ago
- High frequency prediction of Chinese stock returns. Orderbook data generation. High frequency factors construction.☆19Mar 10, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Alpaca-based Order Book Inbalace Algorithm.☆12Jul 23, 2020Updated 6 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 7 years ago
- A multi-factor stock selection model based on random forest with an average annualized yield of 33.74% from March 2014 to June 2017 when …☆17Feb 24, 2019Updated 7 years ago
- Limit Order Book Convolutional Neural Network trading bot☆14Jul 24, 2022Updated 4 years ago
- High Frequency Jump Prediction Project☆38Jun 1, 2020Updated 6 years ago
- Pricing Financial Options contracts using LightGBM, Deep Learning, and Support Vector Machines.☆18Mar 14, 2023Updated 3 years ago
- Stock Price Prediction☆19Sep 20, 2024Updated last year