The market has been in a fairly specific type of behavior since 2009. It's easy to imagine being a hedge fund analyst who graduated in 2009 and has just been learning in this environment. After it's been happening for 10 or 20 years, you stop even kind of considering how it would affect your trades if it were to change. Then you can get massive problems like the huge financial collapse when the mortgage industry went down.
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What is risk-driven development? How should we weigh advice, best practices, and common sense in a domain? What makes some feedback loops better than others? What's the best way to take System 2 knowledge and convert it to System 1 intuition? What are forward-chaining and backward-chaining? When is it best to use one over the other? What are the advantages and disadvantages of centralization and decentralization?
Satvik Beri is a cofounder and head of Data Science at Temple Capital, a quantitative hedge fund specializing in cryptocurrency. He is a big believer in the theory of constraints, and he has a background helping companies find and eliminate major development bottlenecks. Some of his interests include machine learning, functional programming, and mentorship. You can reach him at satvik.beri@gmail.com.
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