Alternatives and similar repositories for Market-Risk-Management-with-Time-Series-Prediction-of-Stock-Market-Trends-

Users that are interested in Market-Risk-Management-with-Time-Series-Prediction-of-Stock-Market-Trends- are comparing it to the libraries listed below

• 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
• omerbsezer / TimeSeries2DBarChartImageCNN
  Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)
  ☆42Updated 2 years ago
• Bturan19 / Neural-Garch-Hybrid-Model-Implementation
  By combining GARCH(1,1) and LSTM model implementing predictions.
  ☆57Updated 6 years ago
• alaameloh / Stock-Risk-Analysis
  Financial risk analysis on a stocks portfolio through the VaR (Value at Risk), using Monte Carlo Simulation and Multiple Linear Regressio…
  ☆22Updated 4 years ago
• tqa236 / LSTM_algo_trading
  Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"
  ☆19Updated 4 years ago
• duffau / RNN_GARCH
  Estimating Value-at-Risk with a recurrent neural network (Jordan type) GARCH model
  ☆69Updated 5 years ago
• hthoai / stock-price-prediction
  In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…
  ☆55Updated 4 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
• BirdiD / Stock-trends-prediction-with-macroeconomic-indicators
  Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial w…
  ☆21Updated 4 years ago
• rathiromil13 / DS-5500-Project-Portfolio-Optimization-Using-Deep-Reinforcement-Learning
  The repository contains the code for project for DS 5500 course at Northeastern.
  ☆36Updated 5 years ago
• Jingyi-Luo / Stock_Price_Movement_Prediction_RNN_CNN_FFNN
  The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…
  ☆61Updated 3 years ago
• nmharmon8 / StockMarketGAN
  Stock Market Prediction Using Unsupervised Features
  ☆54Updated 6 years ago
• dksifoua / Stock-Market-Prediction
  Stock Market Prediction on High-Frequency Data Using soft computing based AI models
  ☆20Updated 11 months 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
• techietrader / Pairs-Trading-Indian-Stocks-using-Machine-Learning
  keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test
  ☆32Updated 6 years ago
• liorsidi / sp500-stock-similarity-time-series
  Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co…
  ☆99Updated 3 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
• ayushjain1594 / Stock-Forecasting
  Hidden Markov Model (HMM) based stock forecasting
  ☆102Updated 7 years ago
• jbogocz / arima_garch
  ARIMA & GARCH models for stock price prediction
  ☆18Updated 4 years ago
• munozalexander / Stock-Prediction
  LSTM RNN for sentiment-based stock prediction
  ☆65Updated 7 years ago
• yuriak / DLQuant
  Applying Deep Learning and NLP in Quantitative Trading
  ☆106Updated 6 years ago
• SahuH / Stock-prediction-XGBoost
  Stock Prediction with XGBoost: A Technical Indicators' approach
  ☆30Updated 6 years ago
• hamaadshah / market_risk_gan_tensorflow
  Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.
  ☆93Updated 2 years ago
• Xinyi6 / DP-LSTM-Differential-Privacy-inspired-LSTM-for-Stock-Prediction-Using-Financial-News
  ☆77Updated 5 years ago
• Musonda2day / Asset-Portfolio-Management-usingDeep-Reinforcement-Learning-
  This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep …
  ☆84Updated 2 years ago
• umeshpalai / AlgorithmicTrading-MachineLearning
  Deep Learning - Neural network (RNN, LSTM & GRU)
  ☆65Updated 6 years ago
• JennyCCDD / Empirical_asset_pricing_via_boosting
  Stock risk premium prediction via FM/ EXT/ GBDT/ XGB/LBGM. Mengxuan Chen's graduation thesis at WHU.
  ☆14Updated 5 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
• jessgess / Time_Series_Analysis_ARIMA
  Time Series analysis with Python and ARIMA model to forecast Bitcoin price
  ☆23Updated 6 years ago