Alternatives and similar repositories for Stock-Market-Trend-Forecasting-Using-Explainable-Artificial-Intelligence-and-Multi-Factor

Users that are interested in Stock-Market-Trend-Forecasting-Using-Explainable-Artificial-Intelligence-and-Multi-Factor are comparing it to the libraries listed below

• 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
• JoshuaWu1997 / EMD-ALSTM-Multi-Factor-Stock-Profit-Prediction
  Multi-Factor Stock Profit Prediction Using EMD-ALSTM
  ☆29Updated 5 years ago
• ChickenBenny / Stock-prediction-with-GAN-and-WGAN
  stock prediction with GAN and WGAN
  ☆102Updated 2 years ago
• HoagieT / Inflation-Nowcast-Model
  A dynamic factor model to forecasts inflation, i.e. CPI, PPI. WindAPI is required to extract vintages.
  ☆15Updated 4 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
• chzheng2000 / pairsTrading
  金融计量 基于协整的配对交易
  ☆12Updated 3 years ago
• altogi / StockPredictionsWithFinancialNews
  A dataset of financial news is used to fine-tune BERT in order to extract investment opportunities.
  ☆26Updated 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
• THINK989 / Real-Time-Stock-Market-Prediction-using-Ensemble-DL-and-Rainbow-DQN
  ☆199Updated last month
• 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
• pierovic94 / TACTICAL-ASSET-ALLOCATION-AND-MACHINE-LEARNING
  This paper studies how a machine learning algorithm can generate tactical allocation which outperforms returns for a pre-defined benchmar…
  ☆12Updated 4 years ago
• PeterSchuld / EDHEC_Investment-Management-with-Python-and-Machine-Learning-
  Jupyter notebooks and data files of the new EDHEC specialization on quantitative finance (completed Aug 2022)
  ☆41Updated 3 years ago
• anxxos / sp500-prediction-sentiment-xgboost
  In this work, the application of the Triple-Barrier Method and Meta-Labeling techniques are explored using XGBoost to develop a sentiment…
  ☆21Updated last year
• nikkizhao1202 / Trading_Strategy_SP500
  Trading Strategy on S&P500 with different method (Linear Regression, XGBOOST, LSTM, HMM
  ☆10Updated 5 years ago
• adlnlp / StockEmotions
  Repository for "StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series" accepted by AAAI…
  ☆78Updated last year
• 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
• MatthewRajan13 / GNN-RL-Stock-Predictor
  Creating a graph that summarizes correlations between stocks and using a Graph Neural Network to encode that information to be utilized i…
  ☆18Updated 2 years ago
• TejVed / Hybrid-LSTM-GARCHE-model-for-NASDAQ-Stock-Prediction-Forecasting
  To create a data-web application deployed using the azure app service, which was made on Streamlit, the leading Pythonic data application…
  ☆11Updated 3 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…
  ☆21Updated 8 years ago
• theo-dim / regime_detection_ml
  Regime detection in historical markets using Hidden Markov Models (HMM) and Support Vector Machines (SVM).
  ☆20Updated 3 years ago
• ayushjain1594 / Stock-Forecasting
  Hidden Markov Model (HMM) based stock forecasting
  ☆102Updated 7 years ago
• MiaaaFan / Classifying-and-Predicting-Stock-Market-States-Using-HMM-and-XGBoost
  ☆27Updated 3 years ago
• QuhiQuhihi / regime_model
  detecting regime of financial market
  ☆39Updated 2 years ago
• NoOneUST / Stock-Price-Prediction-LSTM-and-Trading-Strategy-Reinforcement-Learning
  Stock Price Prediction with LSTM and Trading Strategy with Reinforcement Learning
  ☆14Updated 5 years ago
• slydg / Stock-Quantamental-Investing-Analysis
  Using Python and Tushare financial database
  ☆28Updated last year
• Yoontae6719 / SimStock-Representation-Model-for-Stock-Similarities
  Official Implementation of SimStock : Representation Model for Stock Similarities
  ☆83Updated last year
• joelowj / mtl-tsmom
  Multi Task Learning Time Series Momentum
  ☆23Updated last year
• 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
• 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
• start2020 / Multi-GCGRU
  The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"
  ☆56Updated 3 years ago