jroell / StockMarketPredictionsWithRNN
The goal of this project was to predict stock market prices using a recurrent neural network. This project was inspired by the Standford paper "Financial Market Time Series Prediction with Recurrent Neural Networks Armando Bernal, Sam Fok, Rohit Pidaparthi December 14, 2012" . Using the Standford paper as a baseline, I was able to improve and be…
☆14Updated last year
Alternatives and similar repositories for StockMarketPredictionsWithRNN:
Users that are interested in StockMarketPredictionsWithRNN are comparing it to the libraries listed below
- RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells☆39Updated 7 years ago
- Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction☆61Updated 6 years ago
- stock predict by cnn and lstm☆38Updated 6 years ago
- Stock Price Prediction using CNN-LSTM☆85Updated 5 years ago
- Deep Learning - Neural network (RNN, LSTM & GRU)☆63Updated 6 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
- 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
- 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
- https://arxiv.org/abs/2006.04992☆19Updated 3 years ago
- By combining GARCH(1,1) and LSTM model implementing predictions.☆56Updated 6 years ago
- Stock Price Prediction with PCA and LSTM☆14Updated 3 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…☆60Updated 3 years ago
- A Python implementation of a Hybrid LSTM-GARCH model for volatility forecasting☆27Updated 2 years ago
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators,which help improving perfomance…☆90Updated 5 years ago
- Stock Price Predictor☆31Updated 5 years ago
- Stock market prediction model ANN, SVM, SVR☆16Updated 6 years ago
- Multi-Factor Stock Profit Prediction Using EMD-ALSTM☆27Updated 5 years ago
- Analysis of various deep learning based models for financial time series data using convolutions, recurrent neural networks (lstm), dilat…☆41Updated 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
- Time Series Classification with Convolutional Neural Network: Automated Trading by Pattern Recognition (Master's Thesis)☆20Updated 2 years ago
- Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection☆32Updated 4 years ago
- A new GRU framework for stock price prediction. A new module similar to the attention mechanism and a module similar to the ResNet are ad…☆10Updated 5 years ago
- LSTM神经网络预测沪深300指数及其涨跌☆40Updated 4 years ago
- Trained an LSTM model in python to predict prices after denoising the price signal using wavelet transformation method.☆8Updated 5 years ago
- Stock Prediction usning Transformer NN☆81Updated 5 years ago
- Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data f…☆141Updated 7 years ago
- BEST SCORE ON KAGGLE SO FAR. Mean Square Error after repeated tuning 0.00032. Used stacked GRU + LSTM layers with optimized architecture,…☆69Updated 6 years ago
- ☆10Updated 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…☆21Updated 7 years ago
- implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)☆78Updated 2 years ago