Build a Super Advanced Trading Bot on DYDX Hosted on AWS with Python - Stage 2 - Plan of Attack

The video tutorial covers the process of closing open orders programmatically and progresses to gathering market prices to identify co-integrated pairs. It explains how to fetch historical price data, construct a market prices table, and write co-integration functions. Finally, it discusses saving co-integrated pairs in a CSV file for future reference, avoiding the need to rerun the process each time.

What is the primary achievement of stage one in the tutorial?

• Writing a function to open new orders

• Writing a function to close any open order

• Creating a market prices table

• Identifying co-integrated pairs

In stage two, what is the main challenge when dealing with API limitations?

• Getting more than 100 candles in a single request

• Finding co-integrated pairs

• Writing co-integration functions

• Saving data as a CSV file

What is the purpose of constructing a market prices table in stage two?

• To close open orders

• To identify co-integrated pairs

• To calculate the C score

• To save data as a CSV file

Why is it important to save co-integrated pairs as a CSV file?

• To get more than 100 candles

• To calculate the Z score

• To write co-integration functions

• To avoid rerunning stage two every time

Which of the following is less relevant in stage two according to the tutorial?

• Saving data as a CSV file

• Writing a function to close orders

• Calculating the C score

• Identifying co-integrated pairs