Stock Market Analysis and prediction is a project for technical analysis, visualization, and estimation using Google Financial data. Seeing data from the market, especially some general and other software columns. Pandas used to take stock of the information, looked at different aspects of it, and finally looked at it in some way to assess the risk of a stock based on its recent performance history. Competing with the Monte Carlo method in anticipation of future prices.
Stock exchange analysis is only intended for the analysis of stock company data for various organizations. Using this method of data analysis, any organization can easily extract relevant information.
AIM OF THE PROJECT
The main goal of my project is to analyze the data of all the institutions in which form we need.
PROBLEMS FOR THE ANALYSIS
Share financial data with quandl for the following companies:
Perform basic data analysis
- Get last year’s data
- Check Apple values
- Indicate the final price
- The stock market has seen a rate hike
- Gather all the company data together for the final price
Make daily return analyzes and show the relationship between the different stocks
- Percentage change plan for Apple product
- Find a shared website for Apple and Google
- Use PairPlot to show the relationship between everything
Perform risk analysis
CONCLUSION AND FUTURE SCOPE
We evaluated two basic measurements of the analysis and found no conclusive evidence about their estimated value.
These predictions are also very long-lasting and will see a year in the future. Suggestions on this scale are not the main project time. Instead, we will focus on predicting daily market trends. Because of these problems, we avoided basic analysis.
Performing risk analysis Results:
Download the attached Stock Market Analysis python Project Report