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You are given an array prices
where prices[i]
is the price of a given stock on the i th
day.
You want to maximize your profit by choosing a single day to buy one stock and choose a different days in the future to sell that stock.
Return the maximum profit you can achieve from this transaction. If you cannot achieve any profit, return 0
.
Example 1:
Input: prices = [7,1,5,3,6,4] Output: 5 Explanation: Buy on day 2 (price = 1) and sell on day 5 (price = 6), profit = 6-1 = 5. Note that buying on day 2 and selling on day 1 is not allowed because you must buy before you sell.
Example 2:
Input: prices = [7,6,4,3,1] Output: 0 Explanation: In this case, no transactions are done and the max profit = 0.
Constraints:
1 <= prices.length <= 10 5
0 <= prices[i] <= 10 4
Python
# time complexity: O(n) # space complexity: O(1) from typing import List class Solution(object): def maxProfit(self, prices: List[int]) -> int: profit, smallestPrice = 0, 99999 for price in prices: if price < smallestPrice: smallestPrice = price else: profit = max(profit, price - smallestPrice) return profit PriceList = [7, 1, 5, 3, 6, 4] solution = Solution() print(solution. maxProfit(PriceList))