Stock Market Analysis and Prediction is a project on technical analysis, visualization and prediction using data provided by Yahoo Finance. Used pandas to get stock information, visualize different aspects of it, and finally looked at a few ways of analyzing the risk of a stock, based on its previous performance history. The forecast has been done using ARIMA model. The packages used for visualization include Matplotlib, Plotly.
In this analysis, I have explored the following questions-
- Visualize the historical prices.
- Visualize the volume traded and identify the months in which the volume was the maximum.
- What is the moving average of the various stocks?
- What are the daily returns of the stocks?
- What is the distribution of returns of stocks?
- What is the correlation between different stocks' closing prices?
- What is the correlation between different stocks' daily returns?
- What is the volatility of stocks?
- How much value do we put at risk by investing in a particular stock?
- How can we attempt to forecast future stock behavior?