1. Extract 200 hundreds of stock history data from NASDAQ market. data could be fetched from [login to view URL] API.
2. Similuate the investment portfolio in Monte-Carlo simulation method, with the history of the data to show the investment returns in different portfolios.
3. plot the investment returns with the optimal portfolio and the worst portfolio.
4. write a paper with elabration of the Monte-Carlo simulation and the way to find the optimal portfolio.
Python language would be prefered to considered, or any other language would be work.
I am a professor of statistics and I know python and R studio and I can perform this task in both the software. How many pages of the report do you think would be good for your project? Let's discuss over chat and get this done. Looking forward to working with you.