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
- Stock price prediction using a Temporal Fusion Transformer☆111Updated 2 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 …☆257Updated 4 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆72Updated 4 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
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- Stock Prediction usning Transformer NN☆84Updated 6 years ago
- Open code for PriceGraph☆71Updated last year
- A study on volume-price factor stock selection model based on wavelet transform and multitask self-attention network☆80Updated 2 months ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆42Updated 2 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
- Hidden Markov Model (HMM) based stock forecasting☆102Updated 7 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
- 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
- StockFormer: A Swing Trading Strategy Based on STL Decomposition and Self-Attention Networks☆113Updated 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
- Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial w…☆21Updated 4 years ago
- Official Implementation of SimStock : Representation Model for Stock Similarities☆82Updated last year
- 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
- Code relating to the paper - Stock Embeddings: Learning Distributed Representations for Financial Assets☆76Updated 8 months ago
- LOBCAST is a Python-based open-source framework for stock market trend forecasting using Limit Order Book (LOB) data. 🤖📈☆105Updated last year
- ☆67Updated 2 years ago
- Reproduce AAAI22-FactorVAE☆66Updated last year
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆56Updated 3 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
- Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierar…☆129Updated last year
- CNNpred: CNN-based stock market prediction using a diverse set of variables☆71Updated 4 years ago
- ☆53Updated 3 years ago
- ☆199Updated last month
- ☆23Updated 4 years ago