TejVed / Hybrid-LSTM-GARCHE-model-for-NASDAQ-Stock-Prediction-ForecastingLinks
To create a data-web application deployed using the azure app service, which was made on Streamlit, the leading Pythonic data application service. On this website, we display candlestick plots of various stocks listed on the Nasdac, according to the option of the user; and utilize the Garch based time forecasting algorithm done using Seasonal ar…
☆11Updated 3 years ago
Alternatives and similar repositories for Hybrid-LSTM-GARCHE-model-for-NASDAQ-Stock-Prediction-Forecasting
Users that are interested in Hybrid-LSTM-GARCHE-model-for-NASDAQ-Stock-Prediction-Forecasting are comparing it to the libraries listed below
Sorting:
- 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 …☆133Updated 3 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆42Updated 2 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 8 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
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆72Updated 4 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆67Updated 2 years ago
- 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
- This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep …☆85Updated 2 years ago
- quantitative asset allocation strategy☆32Updated 8 months ago
- Deep Learning - Neural network (RNN, LSTM & GRU)☆65Updated 6 years ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Updated 5 years ago
- A Python implementation of a Hybrid LSTM-GARCH model for volatility forecasting☆44Updated 2 years ago
- Project description: https://medium.com/@tzhangwps/measuring-financial-turbulence-and-systemic-risk-9d9688f6eec1?source=friends_link&sk=1…☆25Updated 6 months ago
- Implements different approaches to tactical and strategic asset allocation☆39Updated 8 months ago
- This project is to apply Copula Function to pair trading strategy both in American stock market.☆28Updated 6 years ago
- Deep Q-Learning Applied to Algorithmic Trading☆28Updated 3 months ago
- stock prediction with GAN and WGAN☆104Updated 2 years ago
- Mean-Variance Optimization using DL (pytorch)☆31Updated 3 years ago
- The repository contains the code for project for DS 5500 course at Northeastern.☆36Updated 5 years ago
- Hidden Markov Model (HMM) based stock forecasting☆104Updated 7 years ago
- 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
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆15Updated 4 years ago
- DCC GARCH modeling in Python☆96Updated 5 years ago
- Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Mod…☆39Updated 4 years ago
- Deep Reinforcement Learning Framework for Factor Investing☆28Updated 2 years ago
- Intra day Stock Prediction 10 minutes into the future☆111Updated 6 years ago
- Stock Price Prediction using CNN-LSTM☆86Updated 5 years ago
- 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
- 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