Financial Analysis - Build a ChatGPT Pairs Trading Bot - Extending the Position (Code)

Financial Analysis - Build a ChatGPT Pairs Trading Bot - Extending the Position (Code)

Assessment

Interactive Video

Information Technology (IT), Architecture, Business

University

Hard

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The lecture focuses on extending a trading signal to improve cumulative returns, which initially appear flat due to inactivity. The process involves modifying asset positions and using forward fill with NANS instead of zeros. This adjustment leads to a significant increase in returns, demonstrating the algorithm's improved performance over a buy-and-hold strategy.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main reason for the flat cumulative return discussed in the lecture?

The trading signal is too simple.

The trading signal is too active.

The trading signal is too complex.

The trading signal is inactive most of the time.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in extending the trading signal as explained in the lecture?

Change the algorithm completely.

Delete all zeros.

Replace NaNs with zeros.

Make a copy of the data.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why are zeros replaced with NaNs in the process of modifying asset positions?

To increase data size.

To remove errors.

To allow forward filling.

To simplify the data.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the impact of the changes on the asset positions?

They become negative.

They are consistently either +1 or -1.

They fluctuate randomly.

They remain at zero.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the modified algorithm compare to the buy-and-hold strategy?

It underperforms most of the time.

It performs the same.

It outperforms most of the time.

It is less reliable.