Object-Oriented Programming Part - 2 | 10/100 Days of Python Algo trading

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Day 10 : Object-Oriented Programming Part – 2

1. What is the main reason to use tuples instead of lists in algorithmic trading?

A) Tuples have a faster lookup speed.

B) Tuples can be resized.

C) Tuples support more methods.

D) Tuples allow modification of elements.

2. Which of the following is true for tuples in Python?

A) They are mutable.

B) They can only contain numeric data.

C) They are immutable.

D) They do not allow duplicate values.

3. How can tuples be beneficial when handling multiple returns from a function in algo trading?

A) They can ensure that the function returns a mutable collection.

B) They can enforce data integrity by preventing changes to the returned data.

C) They allow the function to return multiple collections.

D) They enhance the performance of the function.

4. What is the best way to unpack a tuple containing trading data (open, high, low, close) into separate variables?

A) data = (open, high, low, close)

B) open, high, low, close = data

C) open = data[0], high = data[1], low = data[2], close = data[3]

D) open = data(0), high = data(1), low = data(2), close = data(3)

5. How would you store and access high-frequency trading timestamps and prices efficiently?

A) Use a list of lists.

B) Use a tuple of tuples for faster immutable access.

C) Use a dictionary with timestamps as keys.

D) Use a single tuple with alternating timestamps and prices.

6. In the context of tuples, what does the following operation result in: (3,)*4?

A) (3, 3, 3, 3)

B) (12)

C) TypeError

D) (3, 4)

7. Why would a tuple be used over a list for storing a static list of regulated trading hours?

A) Because tuples provide a better syntax for readability.

B) Because tuples consume less memory and protect the data from modification.

C) Because tuples allow dynamic changes.

D) Because tuples support indexing and lists do not.

8. Given a tuple data = (100, 200, 300), how can you iterate over it and print each element multiplied by 2?

A) [print(x * 2) for x in data]

B) print([x * 2 for x in data])

C) for x in data: print(x * 2)

D) print(x * 2 for x in data)

9. Which option correctly merges two tuples (1, 2, 3) and (4, 5, 6) into a single tuple?

A) (1, 2, 3) + (4, 5, 6)

B) (1, 2, 3, 4, 5, 6)

C) (1, 2, 3).append((4, 5, 6))

D) merge((1, 2, 3), (4, 5, 6))

10. How would you convert the tuple (50, 60, 70) to a list in Python?

A) list(50, 60, 70)

B) [50, 60, 70]

C) list((50, 60, 70))

D) tuple_to_list((50, 60, 70))

11. For algo trading, when is it advantageous to use a tuple to store a strategy's configuration constants like risk factors and leverage ratios?

A) When you need to frequently update configuration values.

B) When you want to ensure the configuration does not accidentally change.

C) When the configuration values differ by data type.

D) When you need to use these configurations for high-speed calculations.

12. How can you efficiently count the number of times the price '120' appears in a tuple of prices?

A) prices.count(120)

B) count(prices, 120)

C) prices.count_price(120)

D) prices.get_count(120)

13. What is the output of ('Hi!',)*3 in Python?

A) ('Hi!', 'Hi!', 'Hi!')

B) ('Hi!Hi!Hi!')

C) SyntaxError

D) ('Hi!', 3)

14. If you need to temporarily convert a tuple of asset IDs to a list to perform a deletion, which method is most appropriate?

A) Convert the tuple to a list, perform the deletion, then convert back to a tuple.

B) Use the remove() method directly on the tuple.

C) Tuples allow deletion using the del keyword directly.

D) Overwrite the tuple with a new tuple without the unwanted element.

15. Given trades = ((12345, 'AAPL', 150), (67890, 'GOOG', 300)), how do you access the symbol 'AAPL'?

A) trades[1][1]

B) trades[0][1]

C) trades[1]

D) trades[2][0]

16. Which of the following operations is invalid with tuples in Python?

A) Concatenating two tuples

B) Nesting tuples within each other

C) Adding elements to a tuple

D) Multiplying a tuple by an integer

17. How can tuples help in multi-threaded trading algorithms?

A) By allowing simultaneous modifications to elements.

B) By being inherently thread-safe due to their immutability.

C) By providing built-in synchronization mechanisms.

D) By increasing processing speed with parallelism.

18. What is the result of comparing two tuples (1, 2, 3) and (1, 2, 4) using

A) True

B) False

C) TypeError

D) None

19. Why might you use a tuple as a key in a dictionary in an algo trading system?

A) Because you can easily modify the key when needed.

B) To store unique combinations of trade parameters.

C) Tuples are less efficient than lists, making the system safer.

D) Because tuples can hold objects of different types.

20. Which method can you use to add elements to a tuple that contains trading days of the week?

A) .append()

B) .add()

C) You cannot add elements to a tuple; you must create a new tuple.

D) .insert()