grudloff / stock_market_GANLinks
Reproduction of code described in the paper "Stock Market Prediction Based on Generative Adversarial Network" by Kang Zhang et al.
☆25Updated 5 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
Sorting:
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Updated 4 years ago
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators,which help improving perfomance…☆100Updated 5 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆41Updated 2 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆69Updated 3 years ago
- Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection☆33Updated 4 years ago
- stock prediction with GAN and WGAN☆100Updated 2 years ago
- Stock Prediction usning Transformer NN☆83Updated 6 years ago
- An Empirical Study of Optimal Combination of Algorithms for Prediction-Based Portfolio Optimization Model using Machine Learning over Co…☆11Updated 3 years ago
- Stock Market Prediction Using Unsupervised Features☆54Updated 6 years ago
- Deep Learning - Neural network (RNN, LSTM & GRU)☆66Updated 6 years ago
- Artificial-Intelligence-Big-Data-Lab / A-Multi-Layer-and-Multi-Ensembled-Stock-Trader-Using-Deep-Learning-and-Deep-Reinforcement-Learning☆60Updated 5 years ago
- Intra day Stock Prediction 10 minutes into the future☆109Updated 6 years ago
- An attempt to implement the idea behind this paper: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212320☆20Updated 3 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆17Updated 6 years ago
- Stock Market Prediction on High-Frequency Data Using soft computing based AI models☆20Updated 10 months ago
- RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells☆39Updated 7 years ago
- The repository contains the code for project for DS 5500 course at Northeastern.☆36Updated 5 years ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆21Updated 7 years ago
- Stock Price Prediction with PCA and LSTM☆14Updated 4 years ago
- Stock Price Prediction with LSTM and Trading Strategy with Reinforcement Learning☆14Updated 5 years ago
- This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting …☆34Updated 4 years ago
- Deep Reinforcement Learning Framework for Factor Investing☆26Updated 2 years ago
- Creating a graph that summarizes correlations between stocks and using a Graph Neural Network to encode that information to be utilized i…☆18Updated 2 years ago
- Using past price data and sentiment analysis from news and other documents to predict the S&P500 index using a LSTM RNN. Idea replicated …☆32Updated last year
- Momentum following strategies and optimal execution cost upon Implement Shortfall algorithm☆15Updated 6 years ago
- A Deep Reinforcement Learning model for high volume and frequency Forex Portfolio Management☆11Updated 2 years ago
- ☆77Updated 5 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆27Updated 6 years ago
- Multi-Factor Stock Profit Prediction Using EMD-ALSTM☆28Updated 5 years ago
- StockFormer: A Swing Trading Strategy Based on STL Decomposition and Self-Attention Networks☆114Updated last year