Reproduction of code described in the paper "Stock Market Prediction Based on Generative Adversarial Network" by Kang Zhang et al.
☆28Jun 12, 2020Updated 6 years ago
Alternatives and similar repositories for stock_market_GAN
Users that are interested in stock_market_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 forecasting with sentiment variables(with lstm as generator and mlp as discriminator)☆36Nov 5, 2019Updated 7 years ago
- ☆15Jul 25, 2020Updated 6 years ago
- RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells☆38Sep 6, 2017Updated 9 years ago
- Metropolis-Hastings GAN in Tensorflow for enhanced generator sampling☆19Mar 29, 2019Updated 7 years ago
- Generative Adversarial Network for Stock Market Price Prediction☆58Dec 9, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for IJCAI 2021 main conference paper "Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based M…☆22Dec 24, 2021Updated 4 years ago
- ARIMA, DBN,FFNN,GBRT,LSTM,RFR,SEQ2SEQ,SVR,XGBOOST☆23Mar 15, 2019Updated 7 years ago
- Intraday momentum strategy that buys (sells) leveraged ETFs late in the trading session following a significant intraday gain (loss) and …☆28Oct 9, 2026Updated 3 weeks ago
- GA,PSO,LSTM...☆25May 11, 2018Updated 8 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
- manipulating cointegrated pairs to achieve a market-neutral strategy that outperforms indices☆11Jan 12, 2021Updated 5 years ago
- Combines alpha signals using a random forest, and demonstrates solutions to overlapping labels issue (rolling autocorrelation) proposed b…☆10Sep 3, 2026Updated 2 months ago
- The source code for the paper☆29Jul 3, 2023Updated 3 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
- AI Agents on 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.
- Use ARIMA, RNN and LSTM to predict foreign exchange rates.☆10Nov 15, 2019Updated 6 years ago
- A trading bot that utilizes a Long Short Term Memory (LSTM) Neural Network and other analysis methods☆30Jul 12, 2016Updated 10 years ago
- Alpha 因子挖掘系统 v3.0 — 模块化自动化因子挖掘平台 (表达式/遗传编程/深度学习三模式, A股+美股, CLI+Streamlit+Notebook)☆21Jun 25, 2026Updated 4 months ago
- In this work, the application of the Triple-Barrier Method and Meta-Labeling techniques are explored using XGBoost to develop a sentiment…☆23Feb 25, 2024Updated 2 years ago
- 图论学习相关笔记,包含算法java实现。☆10Feb 18, 2020Updated 6 years ago
- Forex as timeseries prediction, comparing ARIMA/VAR and LSTM☆13Mar 16, 2022Updated 4 years ago
- Time series prediction using deep learning☆11Sep 16, 2021Updated 5 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆71Mar 27, 2023Updated 3 years ago
- Use graph-based analysis to re-classify stocks and to improve Markowitz portfolio optimization☆20Mar 8, 2022Updated 4 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.
- 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
- Computing calibrated prediction intervals for neural network regressors☆10May 28, 2019Updated 7 years ago
- Variational Autoencoder for generating financial time-series data☆13May 15, 2019Updated 7 years ago
- ☆16Jan 11, 2021Updated 5 years ago
- Fast Bayesian Hidden Markov Model with Wavelet Compression☆17Jan 24, 2020Updated 6 years ago
- #LSTM #1D CNN #GAN #Stock Prediction #Indicators #AMD #FinanceDataReader #Crawling☆12May 26, 2021Updated 5 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆42Jan 9, 2023Updated 3 years ago
- 行业轮动(股票),基于沪深300的行业指数的行业轮动策略☆21Jan 31, 2018Updated 8 years ago
- Hierarchical Multi-Scale Gaussian Transformer Implementation☆10Jun 21, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Time Series forecasting using Seasonal ARIMA & Prophet. Applied statistical tests like Augmented Dickey–Fuller test to check stationary o…☆27Jan 25, 2022Updated 4 years ago
- Application of Machine Learning Algorithms to Intraday Stock Trading Based on Demand Zones☆15Jan 16, 2019Updated 7 years ago
- Channel break out strategy for High Frequency Trading.☆15Jun 26, 2018Updated 8 years ago
- a wavelet-based multifractal image analysis tool implementing the WTMM (Wavelet Transform Modulus Maxima) method.☆11Feb 1, 2020Updated 6 years ago
- 【Framework】Let the neural network 'freely' learn the relationship between different stocks. An intuitive example in quantitative finance,…☆25Dec 24, 2021Updated 4 years ago
- Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is us…☆459Aug 14, 2020Updated 6 years ago
- Tree seed algorithm and Particle Swarm algorithm are used for searching the LSTM hyper parameters☆12Nov 17, 2025Updated 11 months ago