[gtrubetskoy]

I'm skeptical. There are skyscrapers in NYC's, Londons, Singapores and Hong Kong's of this world filled with people who are smart and have enormous computer resources and funds and are paid handsomely to work on solving this problem with all manners of ML and AI at their disposal, the "crowd" has no advantage over them. The "closed system" is much larger than the "crowd" in this case.

[mikkom]

Unless there are people in the "crowd" who work in machine learning / data mining in totally different sector (let's say genomics/biostatistics as this is the example in the article) but have no access to the hedge fund world.

The "crowd" could very well have a long list of very intelligent people who are "experts" in some other sector and who have fresh insights and want to get some anonymous extra income on top of their salary.

This said, I think their compensation seems really low.

[karmacondon]

I don't think this is true at all. 10,000 people are just going to have more ideas and better individual ideas than 100 experts. The impact of that much creativity and perspective can be exponential, and it's hard to duplicate.

When I'm designing a system, I hate to have to try to out think everyone on the internet. If you have a known set of opponents you can predict what they might do. When you're up against anybody from anywhere, you never know what you're going to get. Global scale collaboration is a very powerful thing because it allows a complete exploration of the solution space, and it's difficult to stop.

[iopuy]

I absolutely disagree. I'll take the word of 100 experts over 10,000 amateurs.

[sseveran]

The interesting factor here is strategy sizing. The 100 experts need to manage portfolios of a certain size. The amateurs don't. There are people who can carve out a living of a strategy that has sustainable alpha but would not be attractive to hedge funds due to the capacity of the strategy.

[Ameo]

This is absolutely true. Many, many strategies that are viable at small portfolio sizes fall off very quickly when millions, tens of millions of dollars start to be used for them.

Although the world's financial markets are massive, the little inefficiencies that can be exploited for profit often aren't.

[roel_v]

"This is absolutely true. Many, many strategies that are viable at small portfolio sizes fall off very quickly when millions, tens of millions of dollars start to be used for them."

I've thought this for nearly a decade now, yet have never seen or thought of such a thing. Of course I'm just an idiot so the fact that I didn't think of any means nothing; but you'd think that in all that time looking for it, someone somewhere would have described such a thing, even if only to make money on 'how to find small-portfolio investment strategies' ebooks and seminars.

So I'm curious what makes you say 'absolutely true' rather than 'I think so too'.

[sseveran]

Well to start with people running small capacity strategies tend to be just as secretive as running a large capacity strategy. Strategy capacity is something that professionals talk about and doesn't get as much play when talking to a retail audience.

As for the approach, its not any different than finding a high capacity strategy. It requires some piece of information or insight that other market participants don't have. Consider a scalping strategy that trades a few different futures contracts. If on average we trade 200 times per day with an expected profit of $5 per trade with are making $5,000 per week with our strategy. If we say we spend $5,000 per month on the tech to run our business (a risk system, market data, compute time, etc...) we are making $15,000 of profit each month.

If we are a large hedge fund or prop operation the $15,000 per month (assuming the same costs) may or may not be worth running. As a trader say I am making $250K base plus some percentage of my P&L I would definitely need to be running more than that strategy to justify my job. Depending on how much attention it requires it might not be worth the company running it. If I have two other strategies that each make $100,000 per month for the business am I better of in investing in those strategies or one that makes a lot less money? The answer could be yes (like maybe I could add a hundred more instruments to trade) but just like any other business the investment will be evaluated versus the expected returns of my other options.

[dzdt]

Dude, in the context of an internet post "this is absolutely true" MEANS "I think so too."

[taneq]

Examples of the word of 10,000 amateurs:

* Anti-vaxxers

* The healing power of crystals

* Moon landing conspiracy nuts

* Multi-level marketing

[tomp]

Examples of the word of 100 experts:

* LTCM implosion

* The Great Recession

* Libyan and Syrian wars

* Fukushima

[darawk]

There are also 'experts' in these fields, so your point is moot.

[wallace_f]

OK, but how many physicists support the moon landing conspiracy? How many aerospace engineers support the moon landing conspiracy? What credentials do the experts of the moon landing conspiracy have that I should trust?

I think he has a valid point if you have bias in which experts you place trust. There are, in fact, a lot of experts -- and even academically tenured, credentialed, published experts -- that I agree, don't have much of anything worthwhile to say.

[darawk]

Ya, true. There are particular areas though where 'wisdom of the crowds' works much better than any expert, and then there are obviously areas where it does not.

I'm not sure exactly what the properties of each type of problem are, but it doesn't seem at all obvious to me that stock picking is not one in which a sort of herd optimization approach might be very effective.

[bcherny]

The two aren't exclusive. What's to stop the experts from doing this as a side project?

[sseveran]

They stand to lose a lot for relatively little gain. Hedge fund non-competes are very, very carefully enforced. Making money trading on the side would get you sued.

[flashman]

The excellent thing is we have fund size as a scoring system.

[gtrubetskoy]

My point is that in the world of quants, it's more like there is 10,000 paid experts who are not about to share anything and 100 amateurs.