User question:
user: I've been tracking the closing prices of a specific stock over the last 10 trading days for a report on market volatility. The figures I've recorded are 1000, 2000, 3000, 4000, 5000, 7000, 9000, 15000, 20000, and 30000. To get a better understanding of the price fluctuation and the risk associated with this stock, I need to calculate the standard deviation of these closing prices. Could you provide me with that statistic?

Available functions:
name: calculate_standard_deviation
description: Calculates the standard deviation of a list of numbers.
parameters: type: dict
properties: numbers: type: array
items: type: integer
description: The list of numbers.
required: numbers
name: get_fibonacci_sequence
description: Calculates the n numbers of the Fibonacci.
parameters: type: dict
properties: n: type: integer
description: The number of Fibonacci numbers to calculate.
required: n

Ground-truth function call(s):
calculate_standard_deviation(numbers=[1000,2000,3000,4000,5000,7000,9000,15000,20000,30000])