Total Questions – 15
Time – 20 mins
Questions fall under the following sections:
1. Basics of Algo Trading: Contains 4 questions to test your existing knowledge on Algorithmic Trading basics.
2. Python Basics: Contains 5 questions to test your background in Python programming language.
3. Statistics Basics: Contains 6 questions to test your expertise in Statistics.

NameProfessionEmailPhone Number

1) Momentum based trading strategies perform better when:
I: The market is trending upwards
II: The market is trending downwards
III: The market is static

2) Which of the following is correct:
I: Backtesting is same as Simulating a strategy
II: Simulating is same as Live Trading
III: Backesting and Simulating are different

3) What is DMA?

4) Smart order routing ensures which of the following?

5) What will be the output of the code below:

import pandas as pd
import numpy as np

arr = np.array([[1,2,3],[2,2,2],[3,3,3]])

arr1 = np.array([[0,0,0],[1,1,1],[2,2,2],[1,1,1]])

print(arr1-arr)

6) What is the output of the function below:

g = lambda x: x**2 if x>5 else x+4
print g(7)

7) How are code blocks determined in Python?

8) In python, __init__ function is______.

9) What will be the output of the following code (ignore any new line in output)?
for i in [1, 2, 3, 4][::-1]:
print (i)

10) The spread between two time series is said to be mean reverting when the time series are ____.

11) Mean of 1,2,3,4,5,6,7,8 is ____?

12) Which of the below mentioned options depend on stocks to be cointegrated in order for the strategy to work efficiently?

13) In hypothesis testing, you can accept the alternative hypothesis in which of the following scenarios:
I: When you reject the Null Hypothesis
II: When p value is less than significance level
III: When p value is greater than the significance level
IV: When you fail to reject the null hypothesis

14) A continuous random variable X, defined in the range [1,5], follows a probability distribution such that the probability of any value between 1 and 5 is ‘p’. What is the value of ‘p’?

15) What is true about residuals in regression analysis?
I: It is the error in slope of the regression line
II: It is the difference between observed and predicted values of the dependent variable
III: Sum of residuals is always 0