stockprice-prediction

This repository combines rigorous data preprocessing, advanced feature engineering, and Random Forest-based modeling to predict stock prices with precision for UAE banks

Stock Price Prediction predicts the stock price for next 5 years, data is fetched from Yahoo finance. The webapp uses Facebook Prophet model which has an MAPE of 10%.

📈💰 Predict stock prices with a linear regression model and 50DMA data 🚀 🎯 Make informed investment decisions 🧠💰 👩‍🏫👨‍🏫 Train a model and generate predictions 🔮 🤝 Contribute to the future of stock prediction 🚀

This project explores the application of machine learning models for predicting stock price movements using financial indicators and historical stock price data.

🔮 A simple machine learning project to predict stock prices using Linear Regression. Includes model training, .pkl file, and a Streamlit web app for live predictions.

Forecasting Nifty-50 stock prices and computing gains or losses for individual stocks, seamlessly integrated with Google Sheets.

This was submitted on the 21st August 2020 as part of my dissertation project for the Master's in Computer Science degree at Newcastle University. In this project, I investigated the existing and new methods of predicting stock price. In particular, the ARIMA model is a robust and established model. On the other hand, the Prophet model, a newer …

Time series model for predicting the stock price using LSTM. The dataset includes the closing price of the stock.

Made Stock Prediction with the help of AI which is under development but i wanted to share this something new so here it is.

This project leverages machine learning techniques to predict the future prices of Microsoft's stock. By analyzing historical stock price data, the model aims to provide accurate predictions that can be used to make informed investment decisions.

AI-driven real-time stock forecasting using LSTM, GRU, and Prophet (Oracle DS Project)

This repo is for the LinkedIn Learning course Recurrent Neural Networks

Stock Market Prediction using Machine Learning and Python

GRU based classifier to predict intraday buy/sell/hold signals for stocks

Stock Market Analysis and Prediction

Predicting Nifty-50 Stock Price and calculating profit or loss for each stock with google sheet integration

Use scikit learn, keras and tensor flow for some basic predictions

In this project, I applied sentiment analysis using a statistical machine learning model to capture the correlation between the tweets extracted from Twitter and stock’s price market movements. My exploration sought to answer if daily stock prices behave in response to a positive, neutral, or negative sentiment scoring of respective tweets