kanelian63 / Stock-Market-Prediction-Using-GANLinks
#LSTM #1D CNN #GAN #Stock Prediction #Indicators #AMD #FinanceDataReader #Crawling
☆12Updated 4 years ago
Alternatives and similar repositories for Stock-Market-Prediction-Using-GAN
Users that are interested in Stock-Market-Prediction-Using-GAN are comparing it to the libraries listed below
Sorting:
- Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction☆62Updated 7 years ago
- Stock Price Prediction using CNN-LSTM☆88Updated 5 years ago
- stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)☆36Updated 6 years ago
- Multivariate timeseries to multivariate timeseries convolution regressor based on the article "Encoding Time Series as Images for Visual …☆47Updated 4 years ago
- Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection☆33Updated 5 years ago
- Python notebook implementation of hyperparameter tuning of LSTM deep learning model using Genetic algorithm☆22Updated 4 years ago
- ☆11Updated 4 years ago
- used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN☆113Updated 5 years ago
- VMD-MFRFNN☆56Updated 2 years ago
- Closing price prediction for BTC and ETH using LSTM, CNN-LSTM, BiLSTM, CNN-BiLSTM, and GRU☆35Updated 3 years ago
- 使用随机森林、bp神经网络、LSTM神经网络、GRU对股票收盘价进行回归预测。Random forest, BP neural network, LSTM neural network and GRU are used to predict the closing pric…☆53Updated 5 years ago
- An attempt to implement the idea behind this paper: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212320☆21Updated 4 years ago
- GA，PSO，LSTM...☆26Updated 7 years ago
- Project code for stock index forecasting☆11Updated 4 years ago
- Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)☆97Updated 5 years ago
- The research provides effective management strategies for different asset portfolios in the financial sector by building models. The VMD-…☆20Updated 3 years ago
- Basic RNN, LSTM, GRU, and Attention for time-series prediction☆181Updated last year
- time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.☆119Updated 6 years ago
- This repo holds the implementation the paper 'Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM', by Yanh…☆52Updated 3 years ago
- Multi-Factor Stock Profit Prediction Using EMD-ALSTM☆29Updated 6 years ago
- A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction, arXiv:…☆31Updated last year
- Gramian Angular Field - Encoding Time Series as Images☆38Updated 6 years ago
- ☆31Updated 6 years ago
- Multivariate time-series forecasting with LSTNET and soft-DTW loss☆31Updated 5 years ago
- Predicting WTI index using LSTM 2021/06/31☆10Updated 2 years ago
- Forex Time-Series Prediction Using TCN☆46Updated 6 years ago
- Stock Prediction usning Transformer NN☆84Updated 6 years ago
- 使用经典的AR、MA、ARMA、ARIMA、ARCH、GARCH时间序列模型进行模型的检验和拟合。The classic AR, MA, ARMA, ARIMA, ARCH, GARCH time series models are used to test and pre…☆16Updated 5 years ago
- EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction☆39Updated 6 years ago
- ☆16Updated 3 years ago