Objective

Stock traders have developed a variety of analysis methods including fundamental analysis, technical analysis, and quantitative analysis over years.We aim to predict future stock prices to help drive trading decisions. In this project, we will focus on applying machine learning algorithms for short-term stock price prediction using time series price data and associated technical indicators.

Methodology

Participants will be asked to perform data mining and generate datasets using web scraping from selective sources. This data mining is followed by data pre processing to make data model ready. They will finally exercise different  ML/DL/ ensemble learning algorithms for predicting the movements in the stock market.

Benefits

This project will help students understand supervised learning algorithms w.r.t time series data and allow them to gain a foothold in predicting stock markets using classical and new-age methods.

Duration: 3-6 Months (Online – Offline, Instructor based)