#12 Data Science 👩💻|Mini Project : Stock price prediction
Predicting how the stock market will perform is one of the most difficult things to do. There are so many factors involved in the prediction — physical factors vs. psychological, rational and irrational behavior, etc. All these aspects combine to make share prices volatile and very difficult to predict with a high degree of accuracy.
In this blog, we will work with historical data about the stock prices of a publicly listed company. We will implement a mix of ML algo to predict the future stock price of this company, starting with simple algorithms like averaging and linear regression, and then move on to advanced techniques like Auto ARIMA and LSTM.
Understanding the Problem Statement
- Fundamental Analysis involves analyzing the company’s future profitability on the basis of its current business environment and financial performance.
- Technical Analysis, on the other hand, includes reading the charts and using statistical figures to identify the trends in the stock market.
Install the required libraries
Read the data
Plot the graph pf closing price
Test for staionarity
Standard deviation and mean
Splitting the data in to training and test data
Forecast
Performance accuracy
Visit GitHub for code
Thank You!!
