1. Extract 200 hundreds of stock history data from NASDAQ market. data could be fetched from [url removed, login to view] 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.