Why Stock Span Problem Using Stack in DSA Javascript?

The Big Idea

Discover how a simple stack can save you hours of tedious price checking!

The Scenario

Imagine you are tracking daily stock prices on paper. For each day, you want to know how many consecutive previous days had prices less than or equal to today's price.

Doing this manually means checking every previous day one by one, which is slow and tiring.

The Problem

Manually checking each previous day's price for every new day means repeating many comparisons again and again.

This takes a lot of time and can easily cause mistakes, especially with many days of data.

The Solution

The Stock Span Problem using a stack helps by remembering only important days' prices and their positions.

This way, you quickly find how many days back the price was lower without checking every single day.

Before vs After

✗ Before

for (let i = 0; i < prices.length; i++) {
  let span = 1;
  for (let j = i - 1; j >= 0 && prices[j] <= prices[i]; j--) {
    span++;
  }
  spans[i] = span;
}

✓ After

const stack = [];
for (let i = 0; i < prices.length; i++) {
  while (stack.length && prices[stack[stack.length - 1]] <= prices[i]) {
    stack.pop();
  }
  spans[i] = stack.length ? i - stack[stack.length - 1] : i + 1;
  stack.push(i);
}

What It Enables

This method lets you calculate stock spans efficiently, even for large data, saving time and avoiding errors.

Real Life Example

Traders use this to quickly understand how long a stock price has been rising, helping them decide when to buy or sell.

Key Takeaways

Manual checking is slow and error-prone for large data.

Using a stack remembers key days to speed up span calculation.

This approach is efficient and practical for real stock analysis.

Practice

1. What does the Stock Span Problem calculate for each day in a list of stock prices?

easy

A. The number of consecutive days before the current day with a price less than or equal to the current day's price

B. The maximum stock price in the entire list

C. The minimum stock price in the entire list

D. The difference between the current day's price and the previous day's price

Solution

1. Step 1: Understand the problem definition

   The Stock Span Problem finds how many consecutive days before today had prices less than or equal to today's price.

2. Step 2: Clarify what is calculated for each day

   For each day, it counts days backward until a higher price is found or start is reached.

3. Final Answer:

   The number of consecutive days with price less or equal to current day -> Option A

4. Quick Check:

   Span counts consecutive lower/equal prices before today [OK]

Hint: Span counts days with prices ≤ current day price [OK]

Common Mistakes:

• Confusing span with max or min price
• Thinking span is price difference
• Ignoring consecutive days condition

2. Which of the following JavaScript code snippets correctly initializes an empty stack for solving the Stock Span Problem?

easy

A. const stack = 0;

B. const stack = {};

C. const stack = [];

D. const stack = null;

Solution

1. Step 1: Identify the correct data structure for stack

   In JavaScript, a stack is usually implemented as an array to use push and pop methods.

2. Step 2: Check initialization syntax

   An empty array is initialized with [] which is correct for a stack.

3. Final Answer:

   const stack = []; -> Option C

4. Quick Check:

   Stack uses array [] in JavaScript [OK]

Hint: Use array [] to create stack in JavaScript [OK]

Common Mistakes:

• Using object {} instead of array
• Assigning null or number instead of array
• Forgetting to initialize stack before use

3. What is the output of the stock span array for the prices [100, 80, 60, 70, 60, 75, 85] using the Stock Span Problem algorithm?

medium

A. [7, 6, 5, 4, 3, 2, 1]

B. [1, 2, 3, 4, 5, 6, 7]

C. [1, 1, 1, 1, 1, 1, 1]

D. [1, 1, 1, 2, 1, 4, 6]

Solution

1. Step 1: Calculate span for each price

   Day 0: 100 -> span=1 (no previous days)
   Day 1: 80 < 100 -> span=1
   Day 2: 60 < 80 -> span=1
   Day 3: 70 > 60 -> span=2 (includes day 2)
   Day 4: 60 < 70 -> span=1
   Day 5: 75 > 60, 70, 60 -> span=4 (days 4,3,2,1)
   Day 6: 85 > 75, 70, 60, 80 -> span=6 (days 5,3,2,1,0)

2. Step 2: Write the span array

   The spans are [1, 1, 1, 2, 1, 4, 6].

3. Final Answer:

   [1, 1, 1, 2, 1, 4, 6] -> Option D

4. Quick Check:

   Span array matches calculated values [OK]

Hint: Count consecutive previous days with price ≤ current [OK]

Common Mistakes:

• Counting all previous days instead of consecutive
• Mixing up greater and less conditions
• Incorrectly including days with higher prices

4. Identify the error in the following JavaScript code snippet for the Stock Span Problem:

function calculateSpan(prices) {
  const stack = [];
  const span = [];
  for (let i = 0; i < prices.length; i++) {
    while (stack.length > 0 && prices[stack[stack.length - 1]] <= prices[i]) {
      stack.pop();
    }
    span[i] = stack.length === 0 ? i + 1 : i - stack[stack.length - 1];
    stack.push(i);
  }
  return span;
}

medium

A. The span calculation formula is incorrect; it should be i + stack[stack.length - 1]

B. There is no error; the code correctly calculates the stock span

C. The stack should store prices, not indices

D. The comparison operator in while loop should be <= instead of <

Solution

1. Step 1: Analyze the while loop condition

   The loop pops indices while the price at top index is less than or equal to current price, which is correct for span calculation.

2. Step 2: Check span calculation formula

   If stack is empty, span is i+1 (all previous days), else difference between current index and top index in stack, which is correct.

3. Step 3: Verify stack usage

   Stack stores indices, which is standard to access prices array correctly.

4. Final Answer:

   There is no error; the code correctly calculates the stock span -> Option B

5. Quick Check:

   Code matches standard stock span algorithm [OK]

Hint: Stack stores indices; span formula uses index difference [OK]

Common Mistakes:

• Changing < to <= breaks correct span logic
• Storing prices instead of indices causes wrong indexing
• Incorrect span formula leads to wrong results

5. Given the stock prices array [10, 4, 5, 90, 120, 80], how would the Stock Span Problem algorithm change if we want to find the span of days with prices strictly less than the current day's price (not less than or equal)? What is the resulting span array?

hard

A. [1, 1, 2, 4, 5, 1]

B. [1, 1, 2, 3, 4, 1]

C. [1, 1, 1, 4, 5, 1]

D. [1, 2, 3, 4, 5, 6]

Solution

1. Step 1: Understand the strict less than condition

   Change the comparison in the algorithm from ≤ to <, so only days with price strictly less count towards span.

2. Step 2: Calculate spans with strict less than

   Day 0: 10 -> span=1
   Day 1: 4 < 10 -> span=1
   Day 2: 5 > 4 -> span=2 (days 1 and 2)
   Day 3: 90 > 5,4,10 -> span=4 (days 0,1,2,3)
   Day 4: 120 > 90 -> span=5 (days 0 to 4)
   Day 5: 80 < 120 -> span=1

3. Final Answer:

   [1, 1, 2, 4, 5, 1] -> Option A

4. Quick Check:

   Strict less than span matches [1,1,2,4,5,1] [OK]

Hint: Use < instead of ≤ in comparison for strict span [OK]

Common Mistakes:

• Not changing comparison operator correctly
• Counting equal prices in span incorrectly
• Miscounting consecutive days with strict condition