LeeSinLiang / Predict-Stock-Price-With-Linear-Regression
Detailed Explanation of Stock Price Prediction using Linear Regression
☆6Updated 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
- Useful Python Utility function for Data mining and Data pre-processing of important financial data☆9Updated 5 years ago
- Stock market prediction model ANN, SVM, SVR☆16Updated 7 years ago
- Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebo…☆151Updated last year
- This repository is the result of our work for the course CSCI-SHU 360 Machine Learning☆58Updated 4 years ago
- Predicting buy/sell of Reliance Stock using a Support Vector Machine on top of commonly used technical indicators.☆22Updated 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…☆21Updated 7 years ago
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆62Updated 5 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
- Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news a…☆185Updated last month
- 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
- Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial w…☆21Updated 3 years ago
- Jupyter Notebooks Collection for Learning Time Series Models☆71Updated 5 years ago
- By combining GARCH(1,1) and LSTM model implementing predictions.☆56Updated 6 years ago
- ☆39Updated 3 years ago
- Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets **(API keys included in code)**. The front end…☆20Updated 4 years ago
- I will be considering the google stocks data and will create a LSTM network for prediction.☆33Updated last year
- Python Jupyter Notebooks for Financial Portfolio Optimization☆35Updated 6 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
- 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
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆89Updated 8 months ago
- Jupyter notebooks and data files of the new EDHEC specialization on quantitative finance (completed Aug 2022)☆41Updated 2 years ago
- Stock market forecasting using the ARIMA model.☆49Updated 3 years ago
- Time Series forecasting using Seasonal ARIMA & Prophet. Applied statistical tests like Augmented Dickey–Fuller test to check stationary o…☆26Updated 3 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆266Updated last year
- The coding has been done on Python 3.65 using Jupyter Notebook. This program fetches LIVE data from TWITTER using Tweepy. Then we clean o…☆75Updated 3 years ago
- applications for risk management through computational portfolio construction methods☆40Updated 4 years ago
- Predicting the price movement of stocks using past prices and sentiment analysis scores from financial News.☆16Updated 2 years ago
- Stock Market Analysis and Prediction is the project related to Exploratory data analysis( EDA), Data visualization and Predictive analysi…☆16Updated 6 years ago
- Code for Machine Learning for Algorithmic Trading, 2nd edition.☆18Updated 2 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