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DSA Goprogramming~5 mins

Buy and Sell Stocks All Variants in DSA Go - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is the main goal in the 'Buy and Sell Stocks' problem?
To find the maximum profit by choosing the best days to buy and sell stocks given their prices over time.
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beginner
In the simplest variant, how many transactions are allowed?
Only one transaction is allowed: buy once and sell once.
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intermediate
What does the 'Best Time to Buy and Sell Stock II' variant allow that the first variant does not?
It allows multiple transactions (buy and sell multiple times) to maximize total profit.
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intermediate
How does the cooldown period affect the 'Buy and Sell Stocks' problem?
After selling a stock, you must wait one day before buying again, which restricts consecutive transactions.
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intermediate
What is the impact of transaction fees in the 'Buy and Sell Stocks' problem?
Each transaction reduces profit by the fee amount, so the algorithm must consider fees to maximize net profit.
Click to reveal answer
In the single transaction variant, what is the best strategy to maximize profit?
ABuy at the highest price and sell at the lowest price
BBuy multiple times without selling
CBuy and sell on the same day
DBuy at the lowest price before the highest price
Which variant allows unlimited transactions to maximize profit?
AMultiple transactions without cooldown
BSingle transaction with fees
CMultiple transactions with cooldown
DSingle transaction only
What does a cooldown period mean in stock trading problems?
AYou must wait one day after selling before buying again
BYou pay a fee for each transaction
CYou cannot buy and sell on the same day
DYou can only buy once
How do transaction fees affect the profit calculation?
AThey increase the profit
BThey have no effect
CThey reduce the profit by the fee amount per transaction
DThey allow unlimited transactions
In the 'Buy and Sell Stocks with at most k transactions' variant, what is the main challenge?
AFinding the lowest price only
BMaximizing profit with limited number of transactions
CIgnoring transaction fees
DBuying and selling on the same day
Explain the difference between the single transaction and multiple transactions variants of the Buy and Sell Stocks problem.
Think about how many times you can buy and sell stocks.
You got /3 concepts.
    Describe how cooldown and transaction fees change the approach to solving Buy and Sell Stocks problems.
    Consider what restrictions these add to trading.
    You got /3 concepts.

      Practice

      (1/5)
      1. What is the main goal when solving the Buy and Sell Stocks problem variants?
      easy
      A. Find the day with the highest stock price only
      B. Minimize the number of transactions regardless of profit
      C. Maximize the profit by choosing the best days to buy and sell stocks
      D. Calculate the average stock price over all days

      Solution

      1. Step 1: Understand the problem goal

        The problem asks to maximize profit by buying and selling stocks on certain days.
      2. Step 2: Identify the correct objective

        Maximizing profit means choosing days to buy low and sell high, not just counting transactions or prices.
      3. Final Answer:

        Maximize the profit by choosing the best days to buy and sell stocks -> Option C
      4. Quick Check:

        Goal = Maximize profit [OK]
      Hint: Focus on profit maximization, not just prices or counts [OK]
      Common Mistakes:
      • Confusing profit with number of transactions
      • Thinking only about highest price day
      • Ignoring the buy day in calculations
      2. Which of the following Go code snippets correctly initializes a slice to store stock prices for 5 days?
      easy
      A. prices := []int{7, 1, 5, 3, 6}
      B. prices := [5]int{7, 1, 5, 3, 6}
      C. prices := make([]int, 5, 5)
      D. prices := new([]int{7, 1, 5, 3, 6})

      Solution

      1. Step 1: Understand slice initialization in Go

        To create a slice with values, use the literal syntax: []int{values}.
      2. Step 2: Check each option

        prices := []int{7, 1, 5, 3, 6} correctly creates a slice with given values. prices := [5]int{7, 1, 5, 3, 6} creates an array, not a slice. prices := make([]int, 5, 5) creates an empty slice of length 5 but no values. prices := new([]int{7, 1, 5, 3, 6}) is invalid syntax.
      3. Final Answer:

        prices := []int{7, 1, 5, 3, 6} -> Option A
      4. Quick Check:

        Slice literal = []int{values} [OK]
      Hint: Use []int{...} to create slices with values directly [OK]
      Common Mistakes:
      • Using array syntax instead of slice
      • Using new() incorrectly for slices
      • Creating empty slices without values
      3. What is the output of the following Go code that finds the max profit with only one transaction?
      func maxProfit(prices []int) int {
          minPrice := prices[0]
          maxProfit := 0
          for _, price := range prices {
              if price < minPrice {
                  minPrice = price
              } else if price - minPrice > maxProfit {
                  maxProfit = price - minPrice
              }
          }
          return maxProfit
      }
      
      fmt.Println(maxProfit([]int{7,1,5,3,6,4}))
      medium
      A. 5
      B. 6
      C. 4
      D. 7

      Solution

      1. Step 1: Trace the loop to find minPrice and maxProfit

        Start minPrice=7, maxProfit=0. Iterate prices: - price=7: minPrice=7, maxProfit=0 - price=1: minPrice=1 (lower) - price=5: profit=5-1=4 >0, maxProfit=4 - price=3: profit=3-1=2 <4, maxProfit=4 - price=6: profit=6-1=5 >4, maxProfit=5 - price=4: profit=4-1=3 <5, maxProfit=5
      2. Step 2: Return maxProfit

        maxProfit is 5 after loop ends.
      3. Final Answer:

        5 -> Option A
      4. Quick Check:

        Max profit = 5 [OK]
      Hint: Track min price and update max profit during iteration [OK]
      Common Mistakes:
      • Not updating minPrice correctly
      • Calculating profit before updating minPrice
      • Returning wrong variable
      4. Identify the bug in this Go function that tries to calculate max profit with unlimited transactions:
      func maxProfit(prices []int) int {
          profit := 0
          for i := 0; i < len(prices); i++ {
              if prices[i] > prices[i-1] {
                  profit += prices[i] - prices[i-1]
              }
          }
          return profit
      }
      medium
      A. prices slice is not initialized
      B. Incorrect profit calculation logic
      C. Missing return statement
      D. Index out of range error due to accessing prices[i-1] when i=0

      Solution

      1. Step 1: Check loop and index usage

        The loop starts at i=0, but code accesses prices[i-1], which is prices[-1] at i=0, causing index out of range error.
      2. Step 2: Identify fix

        Start loop from i=1 to avoid negative index access.
      3. Final Answer:

        Index out of range error due to accessing prices[i-1] when i=0 -> Option D
      4. Quick Check:

        Loop index must start at 1 to avoid error [OK]
      Hint: Avoid negative indices by starting loop at 1 [OK]
      Common Mistakes:
      • Starting loop at 0 but accessing i-1
      • Ignoring runtime errors
      • Not testing with small input arrays
      5. Given the prices [3, 3, 5, 0, 0, 3, 1, 4], what is the maximum profit with at most two transactions?
      hard
      A. 7
      B. 6
      C. 5
      D. 8

      Solution

      1. Step 1: Understand two transactions limit

        We can buy and sell stocks at most twice to maximize profit.
      2. Step 2: Calculate max profit with two transactions

        First transaction: buy at 3, sell at 5 (profit 2) Second transaction: buy at 0, sell at 4 (profit 4) Total profit = 2 + 4 = 6
      3. Final Answer:

        6 -> Option B
      4. Quick Check:

        Two transactions max profit = 6 [OK]
      Hint: Split array, find max profit left and right, sum max [OK]
      Common Mistakes:
      • Counting overlapping transactions
      • Ignoring zero price days
      • Calculating only one transaction profit
      Recommended

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