zhoutf / finance_ganLinks
Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.
☆17Updated 6 years ago
Alternatives and similar repositories for finance_gan
Users that are interested in finance_gan are comparing it to the libraries listed below
Sorting:
- Stock Market Prediction Using Unsupervised Features☆54Updated 6 years ago
- Implement the model of Halperin and Feldshteyn for DJIA and SP500☆10Updated 6 years ago
- A CNN + Auto-Encoder Approach for Predicting Financial Time-Series☆12Updated 6 years ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Updated 4 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
- Financial time series forecast using dual attention RNN☆27Updated 6 years ago
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory☆91Updated 3 years ago
- Reproduction of code described in the paper "Stock Market Prediction Based on Generative Adversarial Network" by Kang Zhang et al.☆25Updated 5 years ago
- A Deep Reinforcement Learning model for high volume and frequency Forex Portfolio Management☆11Updated 2 years ago
- Deep Learning - Neural network (RNN, LSTM & GRU)☆66Updated 6 years ago
- Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis☆36Updated 6 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆69Updated 3 years ago
- # Bayesian-Regression-to-Predict-Bitcoin-Price-Variations Predicting the price variations of bitcoin, a virtual cryptographic currency. T…☆22Updated 7 years ago
- A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series☆72Updated 6 years ago
- RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells☆39Updated 7 years ago
- A deep learning model for Financial Signal Representation and Trading☆74Updated 6 years ago
- Predicting the behavior of $BTC-USD by training a memory-based neural net on historical data☆41Updated 4 years ago
- ☆19Updated 4 years ago
- Stock Market Prediction on High-Frequency Data Using soft computing based AI models☆20Updated 10 months ago
- Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation☆37Updated 6 years ago
- stock prediction with GAN and WGAN☆100Updated 2 years ago
- Stock Prediction usning Transformer NN☆83Updated 6 years ago
- Multivariate Adaptive Regression Splines for Time Series Prediction☆18Updated 2 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆120Updated 3 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
- This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting …☆34Updated 4 years ago
- The repository contains the code for project for DS 5500 course at Northeastern.☆36Updated 5 years ago
- MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)☆94Updated 4 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
- Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co…☆99Updated 3 years ago