Alternatives and similar repositories for stock-market-prediction

Users that are interested in stock-market-prediction are comparing it to the libraries listed below

• Bturan19 / Neural-Garch-Hybrid-Model-Implementation
  By combining GARCH(1,1) and LSTM model implementing predictions.
  ☆58Updated 7 years ago
• 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
• xiaodongzi / covar
  系统性风险指标计算
  ☆10Updated 5 years ago
• Cy743652 / CEEMDAN-LSTM
  ☆38Updated 4 years ago
• imhgchoi / ARIMA-LSTM-hybrid-corrcoef-predict
  Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
  ☆427Updated 7 years ago
• anmoltigga / GA-LSTM
  Python notebook implementation of hyperparameter tuning of LSTM deep learning model using Genetic algorithm
  ☆22Updated 4 years ago
• matheusbfernandes / stock-market-prediction
  Stock Price Prediction using CNN-LSTM
  ☆90Updated 5 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
• goodday451999 / Stock-Price-Prediction
  Stock Price Prediction of any Organizations using SVR
  ☆18Updated 6 years ago
• Hupperich-Manuel / LSTM-XGBoost-Hybrid-Forecasting
  LSTM-XGBoost Time Series Forecasting
  ☆157Updated last year
• ayushjain1594 / Stock-Forecasting
  Hidden Markov Model (HMM) based stock forecasting
  ☆103Updated 7 years ago
• kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA
  Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning …
  ☆136Updated 3 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
• deshpandenu / Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-
  Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is us…
  ☆441Updated 5 years ago
• t-corato / GA-TCN
  Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection
  ☆33Updated 5 years ago
• mborysiak / Time-Series-Forecasting-with-ARIMA-and-LSTM
  ☆82Updated 3 years ago
• amn-jain / Stock-Price-Prediction
  This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Networks to predict stock prices.
  ☆86Updated 4 years ago
• jbogocz / arima_garch
  ARIMA & GARCH models for stock price prediction
  ☆25Updated 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
• samluxenberg1 / Time-Series-Forecasting-with-Wavelets
  ☆51Updated 7 years ago
• duffau / RNN_GARCH
  Estimating Value-at-Risk with a recurrent neural network (Jordan type) GARCH model
  ☆72Updated 6 years ago
• PsiPhiTheta / LSTM-Attention
  A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
  ☆73Updated 7 years ago
• vb100 / multivariate-lstm
  ☆78Updated 5 years ago
• advaitsave / Introduction-to-Time-Series-forecasting-Python
  Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast eva…
  ☆332Updated 7 years ago
• salmansust / TimeSeries-LSTM
  In this project I developed LSTM models for uni-variate , multivariate , multi-step time series forecasting.
  ☆11Updated 5 years ago
• YC-Coder-Chen / GRU-stock-price-prediction
  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 6 years ago
• jessgess / Time_Series_Analysis_ARIMA
  Time Series analysis with Python and ARIMA model to forecast Bitcoin price
  ☆24Updated 7 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
• KidQuant / Forecasting-VAR-Granger-Causality
  ☆14Updated 5 years ago
• Akshat2430 / Stock-Market-Analysis-And-Price-Prediction
  This project uses XGBoost and LSTM to forecast stock market performance.
  ☆20Updated 4 years ago