Build a Super Advanced Trading Bot on DYDX Hosted on AWS with Python - Trading the Spread Based on Z-Score

The video tutorial explains pairs trading, focusing on the concept of spread, which is the difference between two assets adjusted by a hedge ratio. It details how to go long or short on the spread using examples with QNT and XRP. The Z score is introduced as a measure of how stretched the spread is, indicating when to enter or exit trades. The tutorial covers calculating the Z score and its application in trading strategies, including backtesting results. A practical strategy using a Z score threshold of ±1.5 is demonstrated, highlighting the risks and potential returns of statistical arbitrage.

What is the spread in pairs trading?

• The difference between two asset prices

• The sum of two asset prices

• The product of two asset prices

• The average of two asset prices

In pairs trading, what does going long on the spread mean?

• Selling the first asset and buying the second

• Buying both assets

• Selling both assets

• Buying the first asset and selling the second

What does a negative Z score indicate in pairs trading?

• The elastic band is stretching negatively

• The spread is narrowing

• The assets are moving together

• The assets are diverging

How is the Z score calculated?

• By dividing the average by the standard deviation

• By subtracting the average from a point in the series and dividing by the standard deviation

• By adding the average to the standard deviation

• By multiplying the average by the standard deviation

What does a high Z score suggest about the market?

• The market is stable

• The elastic band is not stretched

• The market is volatile

• The elastic band is highly stretched

What is the purpose of backtesting in trading?

• To determine the hedge ratio

• To predict future market trends

• To evaluate the performance of a trading strategy

• To calculate the Z score

What is the vanilla strategy in pairs trading?

• Trading based on the average price

• Trading without considering the Z score

• Trading based on a fixed Z score threshold

• Trading based on extreme Z score values

In the vanilla strategy, what action is taken at a Z score of -1.5?

• Go short on both assets

• Go long on both assets

• Go short on the first asset and long on the second

• Go long on the first asset and short on the second

What is the risk associated with statistical arbitrage in pairs trading?

• Low win rate

• High transaction costs

• Large potential losses

• Inconsistent market data

How does the Z score act as a trigger in trading?

• By indicating when to buy both assets

• By signaling when to go long or short on the spread

• By predicting future price movements

• By showing when to sell both assets