Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

Stock Prediction System is a ML based website designed using Django's Framework and CSS's BootStrap Framework (NOTE: ALL THE DEPLOYMENTS ARE CURRENTLY DOWN)

This repository contains several exercises in Python and R, mainly in the area of finance, financial modeling, and statistics.

A web app implemeted with ML algo to make prediction on stock data, made on Django framework.(Stock-Market-predictor)

🚀 A machine learning-powered tool for analyzing stock market risk levels using technical indicators and historical data.

Applying Deep Learning techniques to build neural networks for automated fundamental analysis of equities from quarterly (10-Q) and annual (10-K) financial reports.

Using PyCaret to Predict Apple Stock Prices

Investigate the impact of general news headlines on Stock Indices

The NIFTY 50 is a benchmark Indian stock market index that represents the weighted average of 50 of the largest Indian companies listed on the National Stock Exchange. We use real-time dataset to calculate the stock predictions for future years.

Textual analysis of Investment themed subreddits to predict future stock returns

Official Repo of Nifty50.live

Predict of prices by trade history 4 Tehran Bourse

Easy to follow stock price analysis on Indian stock data

Attempt to forecast future stock prices of any stock irrespective of country, market, currency traded using historical prices of similar stocks.

Works done at International School of Engineering

Technical Analysis software

Data science and Spark applied to 7 hypotheses regarding the DJIA stock ticker and daily news.

Stock Market Prediction 🔮 using LSTM.

📈 A web app for predicting stock prices with machine learning in Python

Stock Market Predictor for Optimal Investment with a Timeframe to Maximize Model Accuracy (On going)