alexkalinins / cnn-lstm-stockLinks
CNN-LSTM stock prediction algorithm project
☆16Updated 4 years ago
Alternatives and similar repositories for cnn-lstm-stock
Users that are interested in cnn-lstm-stock are comparing it to the libraries listed below
Sorting:
- stock prediction with GAN and WGAN☆102Updated 2 years ago
- Reimplementation of Paper: (Re-)Imag(in)ing Price Trends☆63Updated last year
- ☆67Updated 2 years ago
- A Python implementation of a Hybrid LSTM-GARCH model for volatility forecasting☆41Updated 2 years ago
- Repository for "StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series" accepted by AAAI…☆78Updated last year
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆57Updated 4 years ago
- This is the project for deep learning in stock market prediction.☆227Updated 7 months ago
- StockFormer: A Swing Trading Strategy Based on STL Decomposition and Self-Attention Networks☆113Updated last year
- Stock price prediction using a Temporal Fusion Transformer☆111Updated 2 years ago
- Reproduce AAAI22-FactorVAE☆67Updated last year
- A study on volume-price factor stock selection model based on wavelet transform and multitask self-attention network☆80Updated 3 months ago
- Awesome time series forecasting papers and codes☆147Updated last month
- Implementation of (Re-)Imag(in)ing Price Trends☆73Updated 3 years ago
- ☆19Updated 4 years ago
- FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks☆126Updated 4 years ago
- ☆74Updated 4 years ago
- Code to accompany the paper "Fin-GAN: Forecasting and Classifying Financial Time Series via Generative Adversarial Networks"☆125Updated last year
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Networks to predict stock prices.☆85Updated 4 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆72Updated 4 years ago
- Financial time series forecasting with multi-modality graph neural network☆46Updated last year
- 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
- DCC GARCH modeling in Python☆96Updated 5 years ago
- Open code for PriceGraph☆71Updated last year
- By combining GARCH(1,1) and LSTM model implementing predictions.☆57Updated 6 years ago
- ☆63Updated last year
- Code release for "Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction" https://a…☆100Updated last year
- PyTorch autoencoder implementation of asset pricing model using monthly returns/metrics☆45Updated 5 years ago
- Official Implementation of SimStock : Representation Model for Stock Similarities☆84Updated last year
- This resposity is a pre-released verison of Python code used in the paper "Asset pricing via the conditional quantile variational autoenc…☆16Updated last year
- PyTorch implementation of FactorVAE☆75Updated 8 months ago