JoshuaWu1997 / EMD-ALSTM-Multi-Factor-Stock-Profit-Prediction
Multi-Factor Stock Profit Prediction Using EMD-ALSTM
☆27Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for EMD-ALSTM-Multi-Factor-Stock-Profit-Prediction
- Stock Price Prediction using CNN-LSTM☆83Updated 4 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
- stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)☆33Updated 5 years ago
- Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial w…☆18Updated 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…☆20Updated 7 years ago
- Reproduction of code described in the paper "Stock Market Prediction Based on Generative Adversarial Network" by Kang Zhang et al.☆25Updated 4 years ago
- Stock Prediction usning Transformer NN☆80Updated 5 years ago
- A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series☆70Updated 5 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆63Updated 3 years ago
- Stock Price Prediction with PCA and LSTM☆14Updated 3 years ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆18Updated 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 2 years ago
- PHBS 2018 Machine Learning Class Project☆14Updated 6 years ago
- By combining GARCH(1,1) and LSTM model implementing predictions.☆54Updated 5 years ago
- Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction☆60Updated 6 years ago
- A CNN + Auto-Encoder Approach for Predicting Financial Time-Series☆12Updated 5 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆39Updated last year
- ☆10Updated 3 years ago
- stock predict by cnn and lstm☆38Updated 6 years ago
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators，which help improving perfomance…☆83Updated 5 years ago
- RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells☆39Updated 7 years ago
- Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection☆32Updated 4 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆28Updated 5 years ago
- RNN based on Chandler Zuo's implementation of the paper: A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction☆19Updated 3 months ago
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆50Updated 3 years ago
- Predicting future temperature using univariate and multivariate features using techniques like Moving window average and LSTM(single and …☆53Updated 5 months ago
- Forex Time-Series Prediction Using TCN☆44Updated 5 years ago