Alternatives and similar repositories for Stock-Market-Price-Prediction

Users that are interested in Stock-Market-Price-Prediction are comparing it to the libraries listed below

• shoumo95 / Stock_Prediction_Model_using_Attention_Multilayer_RNN_LSTM
  RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells
  ☆39Updated 8 years ago
• SnehJain / Deep-Neural-Networks-For-Stock-Price-Prediction
  Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction
  ☆64Updated 7 years ago
• ashwinbhola / Stock-prediction-Dual-Attention-based-RNN-
  Financial time series forecast using dual attention RNN
  ☆27Updated 7 years ago
• mansipatel2508 / Stock-Price-Prediction-Time-Series-with-NN
  Predicting the closing stock price given last N days' data that also includes the output feature for CNN & LSTM, while predicting it for …
  ☆10Updated 6 years ago
• zhangxu0307 / time-series-forecasting-keras
  time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.
  ☆119Updated 6 years ago
• arleigh418 / Paper-Implementation-DSTP-RNN-For-Stock-Prediction-Based-On-DA-RNN
  基於DA-RNN之DSTP-RNN論文試做(Ver1.0)
  ☆78Updated 5 years ago
• epishova / Neural-Networks-for-time-series-analysis
  Compare how ANNs, RNNs, LSTMs, and LSTMs with attention perform on time-series analysis
  ☆42Updated 7 years ago
• kaka-lin / stock-price-predict
  Implementation of seq2seq with attention in keras
  ☆115Updated 5 years ago
• z1103246 / LSTM-CNN-Stock-Prediction
  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
• arleigh418 / Base-On-Relation-Method-Extract-News-DA-RNN-Model-For-Stock-Prediction--Pytorch
  基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測
  ☆47Updated 5 years ago
• liyinwei / copper_price_forecast
  copper price(time series) prediction using bpnn and lstm
  ☆107Updated 7 years ago
• mborysiak / Time-Series-Forecasting-with-ARIMA-and-LSTM
  ☆83Updated 3 years ago
• dhingratul / Stock-Price-Prediction
  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…
  ☆147Updated 8 years ago
• JoshuaWu1997 / EMD-ALSTM-Multi-Factor-Stock-Profit-Prediction
  Multi-Factor Stock Profit Prediction Using EMD-ALSTM
  ☆29Updated 6 years ago
• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆117Updated 7 years ago
• KurochkinAlexey / Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-Prediction
  Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.0…
  ☆64Updated 6 years ago
• vietsDeng / Stock-Prediction
  stock predict by cnn and lstm
  ☆39Updated 7 years ago
• matheusbfernandes / stock-market-prediction
  Stock Price Prediction using CNN-LSTM
  ☆91Updated 6 years ago
• PsiPhiTheta / LSTM-Attention
  A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
  ☆73Updated 7 years ago
• niharikabalachandra / Market-Risk-Management-with-Time-Series-Prediction-of-Stock-Market-Trends-
  Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…
  ☆22Updated 8 years ago
• imhgchoi / ARIMA-LSTM-hybrid-corrcoef-predict
  Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
  ☆429Updated 7 years ago
• sunjoshi1991 / Time-Series-Forecasting-using-LSTM
  Predicting future temperature using univariate and multivariate features using techniques like Moving window average and LSTM(single and …
  ☆63Updated last year
• manohar029 / TimeSeries-Seq2Seq-deepLSTMs-Keras
  This project aims to give you an introduction to how Seq2Seq based encoder-decoder neural network architectures can be applied on time se…
  ☆43Updated 6 years ago
• 102757017 / lstm-multi
  多因子lstm预测
  ☆13Updated 3 years ago
• Schlam / LSTM-time-series-forecasting
  Predicting the behavior of $BTC-USD by training a memory-based neural net on historical data
  ☆41Updated 4 years ago
• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆59Updated 3 years ago
• Yifeng-He / Deep-Learning-Time-Series-Prediction-using-LSTM-Recurrent-Neural-Networks
  This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.
  ☆102Updated 5 years ago
• UalwaysKnow / time-series-prediction-with-gan
  stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
  ☆36Updated 6 years ago
• Csun1992 / SVM-stock-return-prediction
  We predict stock price with K-means clustering and support vector machine
  ☆17Updated 6 years ago
• mohabmes / StockNN
  Stock Market Prediction Using Neural Network Models (Backpropagation, RNN, RBF) Keras with Tensorflow backend
  ☆48Updated 7 years ago