How would you define and identify a “good” investor on a platform like Robinhood? Imagine you have access to all of RH’s transaction-level data of all users on the platform.

How do you come up with a machine learning system design to find good investors?

What would be a key consideration in defining a 'good' investor when designing a machine learning system for a platform like Robinhood?

What would be a key consideration in defining a 'good' investor when designing a machine learning system for a platform like Robinhood?

Identifying Good Investors

A good investor should be able to predict market crashes

A good investor should only invest in blue-chip stocks

A good investor should be making trades every day

A good investor should have a high volume of transactions

A good investor should consistently achieve a return higher than the market average

Identifying Good Investors

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