Alternatives and similar repositories for Stock-Market-Prediction-using-Neural-Networks-and-Genetic-Algorithm

Users that are interested in Stock-Market-Prediction-using-Neural-Networks-and-Genetic-Algorithm are comparing it to the libraries listed below

• 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…
  ☆21Updated 7 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.
  ☆100Updated 4 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…
  ☆146Updated 7 years ago
• edouardberthe / adp-portfolio-selection
  Approximate Dynamic Programming for Portfolio Selection Problem
  ☆56Updated 2 years ago
• HenrySun95 / PHBS_TQFML-StockIndex-Wavelet-Transformation-ARIMA-ML-Model
  PHBS 2018 Machine Learning Class Project
  ☆14Updated 7 years ago
• giamuhammad / ga_aco_opt_on_anfis_svm
  Forecasting for Istanbul Stock Exchange with ANFIS and SVM based on Genetic and Ant Colony Algorithm for Parameter Optimization
  ☆16Updated 7 years ago
• JoshuaWu1997 / EMD-ALSTM-Multi-Factor-Stock-Profit-Prediction
  Multi-Factor Stock Profit Prediction Using EMD-ALSTM
  ☆28Updated 5 years ago
• duffau / RNN_GARCH
  Estimating Value-at-Risk with a recurrent neural network (Jordan type) GARCH model
  ☆69Updated 5 years ago
• vietsDeng / Stock-Prediction
  stock predict by cnn and lstm
  ☆38Updated 7 years ago
• SahuH / Stock-prediction-XGBoost
  Stock Prediction with XGBoost: A Technical Indicators' approach
  ☆29Updated 6 years ago
• arshiyaaggarwal / Stock-Market-Price-Prediction
  Analysis of various deep learning based models for financial time series data using convolutions, recurrent neural networks (lstm), dilat…
  ☆43Updated 7 years ago
• liyinwei / copper_price_forecast
  copper price(time series) prediction using bpnn and lstm
  ☆106Updated 6 years ago
• ShreyamsJain / Stock-Price-Prediction-Model
  Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity…
  ☆48Updated 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 7 years ago
• freddiev4 / financial-ts-prediction-with-deeplearning
  (Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"
  ☆16Updated 7 years ago
• vishwajeetv / stock_prediction
  Novice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learn
  ☆56Updated 4 years ago
• yiqiaooochen / stockPredictionUsingLSTM
  This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Am…
  ☆15Updated 7 years ago
• fzn0728 / svm
  SVM for stock/index prediction
  ☆13Updated 8 years ago
• sakshi-s / Portfolio-Optimization-using-Deep-Learning-Techniques
  Portfolio Optimisation is a fundamental problem in Financial Mathematics.The objective of this project is to explore the applicability of…
  ☆12Updated 4 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 …
  ☆133Updated 2 years ago
• jiewwantan / RNN_LSTM_trading_model
  This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…
  ☆27Updated 6 years ago
• mohabmes / StockNN
  Stock Market Prediction Using Neural Network Models (Backpropagation, RNN, RBF) Keras with Tensorflow backend
  ☆48Updated 6 years ago
• abdullahf / lstm-kalman-hybrid-timeseries
  Hybrid Time Series using LSTM and Kalman Filtering
  ☆43Updated 2 years ago
• mlpanda / DeepLearning_Financial
  Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory
  ☆91Updated 3 years ago
• fabriziobasso / PCAapplied_and_European_Yield_Curve
  This paper aims to explore the time series’ proprieties of the features extracted by using the Principal Component Analysis (PCA) techniq…
  ☆18Updated 5 years ago
• 102757017 / lstm-multi
  多因子lstm预测
  ☆14Updated 3 years ago
• dksifoua / Stock-Market-Prediction
  Stock Market Prediction on High-Frequency Data Using soft computing based AI models
  ☆20Updated 10 months ago
• matlab-deep-learning / reinforcement_learning_financial_trading
  MATLAB example on how to use Reinforcement Learning for developing a financial trading model
  ☆169Updated last year
• 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
  ☆20Updated 3 years ago
• wyu-du / StockForecast
  predict the price trend of individual stocks using deep learning and natural language processing
  ☆76Updated 7 years ago