As a stock exchange broker focusing on a single transaction, you aim to maximize your profit by buying a stock at a lower price and selling it later at a higher price within a given period.
Your function needs to analyze the price fluctuations of the stock over time. It should identify the most profitable opportunity by calculating the maximum potential profit achievable within these fluctuations. This means finding the highest price to sell the stock after buying it at the lowest possible price.
However, if there's no possibility to make a profit—such as when the stock price consistently decreases or remains the same—the function should return zero, indicating that there's no viable opportunity for a profitable transaction.
Input: Stock prices as list of integers (int).
Output: Maximum possible profit as an integer (int).
assert stock_profit([2, 3, 4, 5]) == 3 assert stock_profit([3, 1, 3, 4, 5, 1]) == 4 assert stock_profit([4, 3, 2, 1]) == 0 assert stock_profit([6, 2, 1, 2, 3, 2, 3, 4, 5, 4]) == 4
- len(stock) > 1;
- 0 <= price <= 1000.
CheckiO Extensions allow you to use local files to solve missions. More info in a blog post.
In order to install CheckiO client you'll need installed Python (version at least 3.8)
Install CheckiO Client first:
pip3 install checkio_client
Configure your tool
checkio --domain=py config --key=
Sync solutions into your local folder
(in beta testing) Launch local server so your browser can use it and sync solution between local file end extension on the fly. (doesn't work for safari)
checkio serv -d
Alternatevly, you can install Chrome extension or FF addon
checkio install-plugin --ff
checkio install-plugin --chromium