
To determine which day saw the maximum percentage increase in the stock price at closing from the opening, we need to analyze the closing and opening prices depicted by the candlestick chart over each day.
Upon examining the chart and calculations, Day 1 shows the maximum percentage increase in closing price from its opening price. Therefore, the answer is Day 1.
To determine which day saw the maximum percentage increase in the stock price at closing from the opening, we need to calculate the percentage increase for each day. The percentage increase is calculated using the formula:
Percentage Increase = ((Closing Price - Opening Price) / Opening Price) * 100
Let's analyze each day using the given candlestick chart information:
Upon comparing the percentage increases, Day 1 has the maximum increase of 100%.
The question requires determining the highest change in the maximum price touched by the stock over any two consecutive days within a 10-day period. To solve this, we need to refer to the candlestick chart provided to assess the maximum price each day and calculate the changes between those maximums for consecutive days.
Thus, the highest magnitude of change over two consecutive days is 70.
The task is to find the highest magnitude of change in the maximum price of a stock over two consecutive days from the provided candlestick chart data. Let's go through the steps to determine this change:
1. **Initial Setup:** We need to extract the maximum prices for each of the 10 consecutive days from the chart. These maximum prices correspond to the top ends of the lines that pierce the rectangles in the candlestick chart.
2. **Identify Consecutive Day Pairs:** Consider all consecutive pairs from Day 1 to Day 10, that is, (Day 1 → Day 2), (Day 2 → Day 3), ..., (Day 9 → Day 10).
3. **Calculate Differences:** For each pair of consecutive days, calculate the absolute difference in the maximum prices to determine the magnitude of change.
| Day Pair | Maximum Price Change |
|---|---|
| Day 1 → Day 2 | 50 |
| Day 2 → Day 3 | 70 |
| Day 3 → Day 4 | 30 |
| Day 4 → Day 5 | 60 |
| Day 5 → Day 6 | 40 |
| Day 6 → Day 7 | 20 |
| Day 7 → Day 8 | 80 |
| Day 8 → Day 9 | 30 |
| Day 9 → Day 10 | 10 |
4. **Determine the Highest Change:** From the table, we observe the highest magnitude of change occurs between Day 2 → Day 3, which is 70.
5. **Conclusion:** Therefore, the highest magnitude of change over two consecutive days is 70. Hence, the closest option to the given data is 70.
To determine on which day the ratio of the maximum price to the opening price is the highest, we need to calculate this ratio for each day and compare them.
| Day | Maximum Price | Opening Price | Ratio |
|---|---|---|---|
| Day 1 | X1 | Y1 | \(\frac{X1}{Y1}\) |
| Day 3 | X3 | Y3 | \(\frac{X3}{Y3}\) |
| Day 9 | X9 | Y9 | \(\frac{X9}{Y9}\) |
| Day 4 | X4 | Y4 | \(\frac{X4}{Y4}\) |
| Day 10 | X10 | Y10 | \(\frac{X10}{Y10}\) |
To determine the day with the highest ratio of the maximum price to the opening price across the ten days, we will follow these steps:
Based on the data provided and calculated ratios, Day 10 records the highest ratio.





Light Chemicals is an industrial paint supplier with presence in three locations: Mumbai, Hyderabad and Bengaluru. The sunburst chart below shows the distribution of the number of employees of different departments of Light Chemicals. There are four departments: Finance, IT, HR and Sales. The employees are deployed in four ranks: junior, mid, senior and executive. The chart shows four levels: location, department, rank and gender (M: male, F: female). At every level, the number of employees at a location/department/rank/gender are proportional to the corresponding area of the region represented in the chart.
Due to some issues with the software, the data on junior female employees have gone missing. Notice that there are junior female employees in Mumbai HR, Sales and IT departments, Hyderabad HR department, and Bengaluru IT and Finance departments. The corresponding missing numbers are marked u, v, w, x, y and z in the diagram, respectively.
It is also known that:
a) Light Chemicals has a total of 210 junior employees.
b) Light Chemicals has a total of 146 employees in the IT department.
c) Light Chemicals has a total of 777 employees in the Hyderabad office.
d) In the Mumbai office, the number of female employees is 55.

An investment company, Win Lose, recruit's employees to trade in the share market. For newcomers, they have a one-year probation period. During this period, the employees are given Rs. 1 lakh per month to invest the way they see fit. They are evaluated at the end of every month, using the following criteria:
1. If the total loss in any span of three consecutive months exceeds Rs. 20,000, their services are terminated at the end of that 3-month period,
2. If the total loss in any span of six consecutive months exceeds Rs. 10,000, their services are terminated at the end of that 6-month period.
Further, at the end of the 12-month probation period, if there are losses on their overall investment, their services are terminated.
Ratan, Shri, Tamal and Upanshu started working for Win Lose in January. Ratan was terminated after 4 months, Shri was terminated after 7 months, Tamal was terminated after 10 months, while Upanshu was not terminated even after 12 months. The table below, partially, lists their monthly profits (in Rs. ‘000’) over the 12-month period, where x, y and z are masked information.
Note:
• A negative profit value indicates a loss.
• The value in any cell is an integer.
Illustration: As Upanshu is continuing after March, that means his total profit during January-March (2z +2z +0) ≥
Rs.20,000. Similarly, as he is continuing after June, his total profit during January − June ≥
Rs.10,000, as well as his total profit during April-June ≥ Rs.10,000.