LeeSinLiang / Predict-Stock-Price-With-Linear-RegressionLinks
Detailed Explanation of Stock Price Prediction using Linear Regression
☆6Updated 2 years ago
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
Sorting:
- Stock market forecasting using the ARIMA model.☆49Updated 3 years ago
- In this Jupyter Notebook, I've used LSTM RNN with Technical Indicators namely Simple Moving Average (SMA), Exponential Moving Average (EM…☆40Updated 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
- 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 Market Price Prediction: Used machine learning algorithms such as Linear Regression, Logistics Regression, Naive Bayes, K Nearest N…☆25Updated 4 years ago
- Stock market prediction model ANN, SVM, SVR☆16Updated 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
- A Python implementation of a Hybrid LSTM-GARCH model for volatility forecasting☆39Updated 2 years ago
- Forecasting crude oil price based on only historical price data utilizing time-series forecasting and ensemble modeling.☆15Updated 2 years ago
- This repository is the result of our work for the course CSCI-SHU 360 Machine Learning☆62Updated 4 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
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Networks to predict stock prices.☆84Updated 4 years ago
- This repository displays my work in finance and economics datascience for future employers and collaborators.☆11Updated 2 years ago
- Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The…☆24Updated 7 years ago
- In this project, I had backtested the cross-over trading strategy on Google Stock from Jan 2016 to June 2020. By using historical time-se…☆45Updated 4 years ago
- By combining GARCH(1,1) and LSTM model implementing predictions.☆57Updated 6 years ago
- Useful Python Utility function for Data mining and Data pre-processing of important financial data☆9Updated 5 years ago
- Predicting buy/sell of Reliance Stock using a Support Vector Machine on top of commonly used technical indicators.☆22Updated 3 years ago
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆54Updated 4 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
- Regime detection in historical markets using Hidden Markov Models (HMM) and Support Vector Machines (SVM).☆19Updated 3 years ago
- This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (S…☆50Updated 10 months ago
- Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news a…☆193Updated 3 months ago
- Comparing Long Term Short Memory (LSTM) & Gated Re-current Unit (GRU) during forecasting of oil price .Exploring multivariate relationsh…☆46Updated 3 years ago
- Stock Market Analysis and Prediction is the project related to Exploratory data analysis( EDA), Data visualization and Predictive analysi…☆17Updated 6 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
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆32Updated 6 years ago
- Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA…☆13Updated 3 years ago
- Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features …☆31Updated 6 years ago
- ☆39Updated 3 years ago