hthoai / stock-price-predictionLinks
In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US stock market.
☆54Updated 4 years ago
Alternatives and similar repositories for stock-price-prediction
Users that are interested in stock-price-prediction are comparing it to the libraries listed below
Sorting:
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆60Updated 3 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Networks to predict stock prices.☆84Updated 4 years ago
- By combining GARCH(1,1) and LSTM model implementing predictions.☆57Updated 6 years ago
- 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
- Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial w…☆21Updated 4 years ago
- kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDAForecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning …☆134Updated 2 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆69Updated 3 years ago
- Hidden Markov Model (HMM) based stock forecasting☆102Updated 7 years ago
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆91Updated 10 months ago
- The repository contains the code for project for DS 5500 course at Northeastern.☆36Updated 5 years ago
- Intra day Stock Prediction 10 minutes into the future☆109Updated 6 years ago
- Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA…☆13Updated 3 years ago
- This repository is the result of our work for the course CSCI-SHU 360 Machine Learning☆62Updated 4 years ago
- Deep Learning - Neural network (RNN, LSTM & GRU)☆66Updated 6 years ago
- stock prediction with GAN and WGAN☆99Updated 2 years ago
- An investment portfolio of stocks is created using Long Short-Term Memory (LSTM) stock price prediction and optimized weights. The perfor…☆34Updated last year
- Stock Price Prediction using CNN-LSTM☆84Updated 5 years ago
- An Empirical Study of Optimal Combination of Algorithms for Prediction-Based Portfolio Optimization Model using Machine Learning over Co…☆11Updated 3 years ago
- In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to …☆250Updated 4 years ago
- Predicting stock price by using Hidden Markov model☆18Updated 8 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆27Updated 6 years ago
- Stock market forecasting using the ARIMA model.☆49Updated 3 years ago
- ARIMA & GARCH models for stock price prediction☆18Updated 4 years ago
- Mean-Variance Optimization using DL (pytorch)☆31Updated 3 years ago
- ☆23Updated 4 years ago
- A Python implementation of a Hybrid LSTM-GARCH model for volatility forecasting☆39Updated 2 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆120Updated 3 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆268Updated last year
- https://arxiv.org/abs/2006.04992☆19Updated 4 years ago
- This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep …☆82Updated 2 years ago