You are given an array prices where prices[i] is the price of a given stock on the ith day.
You want to maximize your profit by choosing a single day to buy one stock and choosing a different day 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.
1 <= prices.length <= 10^5 0 <= prices[i] <= 10^4
class Solution:
def maxProfit(self, prices: List[int]) -> int:
min_price = float('inf') # Initialize min_price to a large value
max_profit = 0
for price in prices:
# Update min_price if the current price is lower
min_price = min(min_price, price)
# Update max_profit if selling at the current price yields a higher profit
max_profit = max(max_profit, price - min_price)
return max_profit
Initially thought it would be O(n^2) solutions where you have two pointer pair iterating over each pair combination to get the best profit.
Time Complexity : O(n) Space Complexity : O(1)