JoshuaWu1997 / EMD-ALSTM-Multi-Factor-Stock-Profit-Prediction
Multi-Factor Stock Profit Prediction Using EMD-ALSTM
☆27Updated 5 years ago
Alternatives and similar repositories for EMD-ALSTM-Multi-Factor-Stock-Profit-Prediction:
Users that are interested in EMD-ALSTM-Multi-Factor-Stock-Profit-Prediction are comparing it to the libraries listed below
- Stock Price Prediction using CNN-LSTM☆85Updated 5 years ago
- stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)☆35Updated 5 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
- RNN based on Chandler Zuo's implementation of the paper: A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction☆18Updated 8 months ago
- Creating a graph that summarizes correlations between stocks and using a Graph Neural Network to encode that information to be utilized i…☆17Updated last year
- Reproduction of code described in the paper "Stock Market Prediction Based on Generative Adversarial Network" by Kang Zhang et al.☆25Updated 4 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
- Financial time series forecast using dual attention RNN☆27Updated 6 years ago
- probabilistic forecasting with Temporal Fusion Transformer☆40Updated 3 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆40Updated 2 years ago
- A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series☆73Updated 6 years ago
- RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells☆39Updated 7 years ago
- Stock Prediction usning Transformer NN☆81Updated 6 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆16Updated 6 years ago
- Deep Learning + Time Series Analysis☆27Updated 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
- Univariate_ARIMA_models, ARCH/GARCH Volatility Forecasting models, VAR model for macro fundamentals forecasts☆11Updated 4 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆66Updated 3 years ago
- This project is an implementation of the paper Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. The model LSTNe…☆17Updated 5 years ago
- The repository contains the code for project for DS 5500 course at Northeastern.☆36Updated 5 years ago
- Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction☆61Updated 6 years ago
- Stock Price Prediction with PCA and LSTM☆14Updated 4 years ago
- Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection☆33Updated 4 years ago
- Predicting the closing stock price given last N days' data that also includes the output feature for CNN & LSTM, while predicting it for …☆10Updated 5 years ago
- ☆10Updated 3 years ago
- 多因子选股框架☆20Updated 4 years ago
- Multivariate Time series Analysis Using LSTM & ARIMA☆36Updated 5 years ago
- Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial w…☆21Updated 3 years ago
- Predicting future temperature using univariate and multivariate features using techniques like Moving window average and LSTM(single and …☆58Updated 10 months ago
- EA-LSTM: Evolutionary attention-based LSTM for time series prediction☆36Updated 5 years ago