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.
Examples:
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.
Input: prices = [7,6,4,3,1]
Output: 0
Explanation: In this case, no transactions are done and the max profit = 0.
Sliding window / two pointer solution
- Initialize a left pointer
lefton day 1, and a right pointerrighton day 2 - Find the current profit (buy on
left, sell onright)- if
rightis less thanleft- update
leftto beright, and - update
rightto be the next day
- update
- if
leftis less thanright(it's a profit)- if the profit (
right - left) is more thanmax_profit, set it tomax_profit - only update
right(because we are buying low and selling high) to the next day
- if the profit (
- repeat step
- if
- Return
max_profit
The memory is O(1) because only pointers are used. The time is O(n).
Python
class Solution:
def maxProfit(self, prices: List[int]) -> int:
max_profit = 0
left = 0
right = 1
# while we haven't reached the end
while right < len(prices):
left_value = prices[left]
right_value = prices[right]
# profitable?
if left_value < right_value:
profit = right_value - left_value
max_profit = max(max_profit, profit)
else:
left = right
right += 1
return max_profit