Return the buy and sell prices to generate the most profit from a list of daily stock prices (integers for simplicity). The single buy/sell profit must be maximized. If you can't make any money, strive to cut your losses as much as possible
Question
Return the buy and sell prices to generate the most profit from a list of daily stock prices (integers for simplicity). The single buy/sell profit must be maximized. If you can't make any money, strive to cut your losses as much as possible
Solution
Sure, here is a Python solution for your problem:
def max_profit(prices):
if len(prices) < 2:
return "Need at least two days of prices to make a trade"
min_price = prices[0]
max_profit = prices[1] - prices[0]
for i in range(1, len(prices)):
current_price = prices[i]
potential_profit = current_price - min_price
max_profit = max(max_profit, potential_profit)
min_price = min(min_price, current_price)
return max_profit
This function works by iterating through the list of prices. For each price, it calculates the potential profit that could be made if the stock was sold at that price (assuming it was bought at the lowest price seen so far). It keeps track of the maximum profit seen so far and the minimum price seen so far. At the end, it returns the maximum profit.
If the list of prices has less than two elements, it returns a message indicating that at least two days of prices are needed to make a trade.
Similar Questions
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