24. Best Time to Buy and Sell Stock
easyAsked at GlassdoorGlassdoor coaches job-seekers on offer timing — and this single-pass min-tracking problem is their go-to warmup that doubles as a filter for candidates who conflate 'track the minimum seen' with 'compare all pairs'.
By Alex Chen, Founder, InterviewChamp.AI · Last verified
Problem
Given an array prices where prices[i] is the price of a stock on day i, return the maximum profit you can achieve by buying on one day and selling on a later day. If no profit is possible, return 0.
Constraints
1 <= prices.length <= 10^50 <= prices[i] <= 10^4
Examples
Example 1
prices = [7,1,5,3,6,4]5Explanation: Buy on day 2 (price=1), sell on day 5 (price=6). Profit = 6-1 = 5.
Example 2
prices = [7,6,4,3,1]0Explanation: Prices only fall; no transaction yields a profit.
Approaches
1. Brute force — all pairs
Check every buy-sell pair. O(n^2) — fails at 10^5 prices.
- Time
- O(n^2)
- Space
- O(1)
function maxProfit(prices) {
let max = 0;
for (let i = 0; i < prices.length; i++) {
for (let j = i + 1; j < prices.length; j++) {
max = Math.max(max, prices[j] - prices[i]);
}
}
return max;
}Tradeoff:
2. Single pass — track running minimum
Track the lowest price seen so far. At each day compute profit if sold today; update the maximum. One pass, O(n).
- Time
- O(n)
- Space
- O(1)
function maxProfit(prices) {
let minPrice = Infinity;
let maxProfit = 0;
for (const price of prices) {
if (price < minPrice) {
minPrice = price;
} else if (price - minPrice > maxProfit) {
maxProfit = price - minPrice;
}
}
return maxProfit;
}Tradeoff:
Glassdoor-specific tips
Glassdoor interviewers use this as a quick filter — if you immediately say 'I'll try all pairs,' they'll note it and move on. The expected answer is O(n) with the running-minimum observation. Verbalize the invariant: 'at every price I know the cheapest I could have bought before this day, so I compute today's profit in O(1).' Also handle the no-profit case cleanly by initializing maxProfit to 0 rather than negative infinity.
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