Please use Google Collab Python, thank you!!

You will invest in the following assets:

Apple Inc. $($AAPL$),$

The Boeing Company $($BA$),$

The Cheesecake Factory $($CAKE$),$

Caterpillar Inc. $($CAT$),$

The Hershey Company $($HSY$),$

JPMorgan Chase & Co $($JPM$),$

McDonald's Corporation $($MCD$),$

Starbucks Corporation $($SBUX$),$

Tesla, Inc. $($TSLA$),$

Visa Inc. $($V$).$

Using the yfinance package, download the daily returns of these assets from June $1,2019($inclusive$)$ to June $1,2024($exclusive$).$

Utilize the skfolio package to compute the efficient frontier of portfolios based on the assets.

The efficient frontier will consist of $300$ portfolios.

Allow short$-$selling in the portfolios.

Set the minimum allowable asset weight to $-15\%.$

Determine the maximum allowable asset weight such that all asset weights except one can turn out $-15\%$ in a portfolio.

Use the standard deviation of daily returns as the measure of risk.

Assume that the risk$-$free rate is $0\%.$

Consider the $300$ portfolios on the efficient frontier.

Among them, you selected portfolio #$75.$ Remember that indexing starts with $0$ in Python, and portfolio #$75$ is the $76$th portfolio on the efficient frontier.

If you had invested $$25,000$ in this portfolio on January $1,2020,$ how much would your investment be worth on June $5,2024?$

Round your answer to the nearest integer.

NOTE : When you use the skfolio, empyrial, and pyfolio packages on Google Colab, install and import the skfolio package first, followed by the empyrial and pyfolio packages.