ChickenBenny / Stock-prediction-with-GAN-and-WGANLinks
stock prediction with GAN and WGAN
☆102Updated 2 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
Sorting:
- Intra day Stock Prediction 10 minutes into the future☆109Updated 6 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆72Updated 4 years ago
- In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to …☆258Updated 4 years ago
- Stock price prediction using a Temporal Fusion Transformer☆111Updated 2 years ago
- Stock Prediction usning Transformer NN☆84Updated 6 years ago
- Open code for PriceGraph☆71Updated last year
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆55Updated 4 years ago
- A study on volume-price factor stock selection model based on wavelet transform and multitask self-attention network☆81Updated 3 months ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆57Updated 4 years ago
- FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks☆127Updated 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…☆104Updated 5 years ago
- ☆68Updated 2 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
- Official Implementation of SimStock : Representation Model for Stock Similarities☆84Updated last year
- Quant GAN from [Wiese et al., Quant GANs: Deep Generation of Financial Time Series, 2019]☆22Updated 4 years ago
- ☆53Updated 3 years ago
- kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDAForecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning …☆133Updated 2 years ago
- Reproduce AAAI22-FactorVAE☆67Updated last year
- 🚂💨 Deep Momentum Networks for Time Series Strategies☆124Updated 5 years ago
- Reproduction of code described in the paper "Stock Market Prediction Based on Generative Adversarial Network" by Kang Zhang et al.☆28Updated 5 years ago
- ☆200Updated 2 weeks ago
- Code relating to the paper - Stock Embeddings: Learning Distributed Representations for Financial Assets☆77Updated 8 months ago
- StockFormer: A Swing Trading Strategy Based on STL Decomposition and Self-Attention Networks☆115Updated last year
- The official implementation of the paper "MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Fo…☆29Updated 6 months ago
- ☆77Updated 5 years ago
- Stock Price Prediction using CNN-LSTM☆86Updated 5 years ago
- This is the project for deep learning in stock market prediction.☆227Updated 8 months ago
- By combining GARCH(1,1) and LSTM model implementing predictions.☆57Updated 6 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆61Updated 3 years ago