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…
☆13Updated 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:
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆42Updated 2 years ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆22Updated 8 years ago
- By combining GARCH(1,1) and LSTM model implementing predictions.☆58Updated 6 years ago
- Reproduction of code described in the paper "Stock Market Prediction Based on Generative Adversarial Network" by Kang Zhang et al.☆28Updated 5 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆73Updated 4 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
- Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial w…☆21Updated 4 years ago
- ARIMA & GARCH models for stock price prediction☆21Updated 5 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 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 4 years ago
- This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting …☆35Updated 5 years ago
- Regime detection in historical markets using Hidden Markov Models (HMM) and Support Vector Machines (SVM).☆23Updated 3 years ago
- This project is to apply Copula Function to pair trading strategy both in American stock market.☆28Updated 7 years ago
- quantitative asset allocation strategy☆33Updated 9 months ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Updated 5 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆69Updated 2 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
- Project description: https://medium.com/@tzhangwps/measuring-financial-turbulence-and-systemic-risk-9d9688f6eec1?source=friends_link&sk=1…☆26Updated 8 months ago
- Usage of policy gradient reinforcement learning to solve portfolio optimization problems (Tactical Asset Allocation).☆33Updated 6 years ago
- Rewriting the code in "Machine Learning for Factor Investing" in Python☆92Updated 4 years ago
- Deep Reinforcement Learning Framework for Factor Investing☆29Updated 2 years ago
- Deep Learning - Neural network (RNN, LSTM & GRU)☆65Updated 6 years ago
- Codes for the paper 'Clustering Approaches for Global Minimum Variance Portfolio'☆22Updated 3 years ago
- ☆30Updated 2 years ago
- ☆46Updated 3 years ago
- The Implied Volatility Smirk of Individual Option in S&P 500 Shows its Underlying Asset’s Return☆37Updated 5 years ago
- Hidden Markov Model (HMM) based stock forecasting☆104Updated 7 years ago
- Estimating Value-at-Risk with a recurrent neural network (Jordan type) GARCH model☆70Updated 6 years ago
- DCC GARCH modeling in Python☆97Updated 5 years ago
- LSTM stock prediction and backtesting☆14Updated 5 years ago