LeeSinLiang / Predict-Stock-Price-With-Linear-Regression
Detailed Explanation of Stock Price Prediction using Linear Regression
☆5Updated last year
Alternatives and similar repositories for Predict-Stock-Price-With-Linear-Regression:
Users that are interested in Predict-Stock-Price-With-Linear-Regression are comparing it to the libraries listed below
- Predicting buy/sell of Reliance Stock using a Support Vector Machine on top of commonly used technical indicators.☆20Updated 3 years ago
- Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebo…☆150Updated last year
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Networks to predict stock prices.☆84Updated 3 years ago
- In this Jupyter Notebook, I've used LSTM RNN with Technical Indicators namely Simple Moving Average (SMA), Exponential Moving Average (EM…☆39Updated 3 years ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆20Updated 7 years ago
- Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment A…☆72Updated 4 years ago
- Useful Python Utility function for Data mining and Data pre-processing of important financial data☆9Updated 5 years ago
- This repository is the result of our work for the course CSCI-SHU 360 Machine Learning☆57Updated 4 years ago
- Forecasting crude oil price based on only historical price data utilizing time-series forecasting and ensemble modeling.☆13Updated last year
- Stock market forecasting using the ARIMA model.☆47Updated 3 years ago
- Stock market prediction model ANN, SVM, SVR☆16Updated 6 years ago
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆87Updated 6 months ago
- WQU capstone project - short term currency trading strategy utilizing machine learning☆10Updated 2 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 …☆133Updated 2 years ago
- Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA…☆12Updated 3 years ago
- Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial w…☆21Updated 3 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
- By combining GARCH(1,1) and LSTM model implementing predictions.☆56Updated 6 years ago
- Predicted the Price of the Cryptocurrency(Bitcoin) using the past time-series data, Twitter Sentiments(Polarity and Sensitivity), Currenc…☆9Updated 3 years ago
- Predicting opening price, closing price - all in Jupyter Notebooks☆44Updated 4 years ago
- Stock Market Price Prediction: Used machine learning algorithms such as Linear Regression, Logistics Regression, Naive Bayes, K Nearest N…☆23Updated 4 years ago
- ☆77Updated 4 years ago
- LSTM RNN for sentiment-based stock prediction☆64Updated 7 years ago
- Jupyter Notebooks Collection for Learning Time Series Models☆68Updated 5 years ago
- Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news a…☆172Updated 3 weeks ago
- To create a data-web application deployed using the azure app service, which was made on Streamlit, the leading Pythonic data application…☆10Updated 2 years ago
- LSTM For Stock Market Prediction☆15Updated 6 years ago
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆31Updated 6 years ago
- Financial risk analysis on a stocks portfolio through the VaR (Value at Risk), using Monte Carlo Simulation and Multiple Linear Regressio…☆20Updated 4 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