This seems fun:

A machine intelligence system, dubbed Emma AI, is starting a fund that hopes to outsmart the humans and computers that make a living trading stocks.

And:

Shaunak Khire, Emma’s creator, claims his system differs from current finance computing — high-frequency trading and “quant” data science — because its system of neural nets takes into account a more complex set of factors affecting stocks, like management changes or monetary policy in Europe, that other programs miss.

“This is not algorithmic trading,” he said. “This is literally replication of an analyst.”

I hope they put a fleece on the AI. For some reason "Emma will start trading stocks from pharma giant GSK and Tesla along with U.S. Treasury bonds," which seems like sort of a limited coverage universe for this robot analyst, but everyone's got to start somewhere. It's more of a robot intern, maybe.

But Khire's basic point seems right. There is some low-hanging fruit in computerizing trading; high-speed market-making and statistical arbitrage are relatively straightforward to computerize, and so they were computerized relatively early.

But there's no reason to think that computers would stop there, or that fundamental analysis of companies would be impossible for them. Fundamental analysis is essentially a process of discovering and evaluating patterns in data, just like market-making is; it's just that the patterns and data are more complex and varied.

Good luck, Emma!

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