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Re:Lessons learned building an ML trading system by traK6Dcm on Wednesday November 27, 2019 @05:57PM (#21653009)
Many HFT systems provide liquidity. If there is no liquidity, retail investors like you or me cannot buy or sell.

Just imagine you want to exchange a currency because you go traveling and the exchange tells you "Sorry, nothing available right now, gotta come back in a few weeks". That's what would happen if there is no liquidity.

Re:Lessons learned building an ML trading system by akra on Wednesday November 27, 2019 @06:52PM (#21653368)
I always had questions about the liquidity on offer though seeing participants flee the market in black swan events. HFT liquidity could be illusionary - its only there when its not quite required similar to how the bank "only offers you a loan when you don't need one". Of course this is exactly the point when liquidity is required; normally there's sufficient liquidity in normal times from market participants. Its easy to offer liquidity in normal times; harder to do so when no one else wants to offer it.
Re:Lessons learned building an ML trading system by wellactually on Wednesday November 27, 2019 @08:51PM (#21654015)
Offering liquidity is not equivalent to offering free money. The offer comes at a cost.
Re:Lessons learned building an ML trading system by kortilla on Thursday November 28, 2019 @01:14AM (#21654998)
> normally there's sufficient liquidity in normal times from market participants.

Not really. The spreads were terrible before HFT market making.

Re:Lessons learned building an ML trading system by roenxi on Wednesday November 27, 2019 @06:38PM (#21653275)
It isn't obvious that the retail investors are that excited by sub-second liquidity.

Speaking personally, I'd even be happy to wait several seconds to see if someone else is willing to pay a better price.

Re:Lessons learned building an ML trading system by vecter on Wednesday November 27, 2019 @06:48PM (#21653347)
That's not how things work. You would see much less demand/supply for a particular stock at every price level, which means you'd pay much more to buy less and would have to pay much more to sell less also. There are no upsides to having fewer market makers.
Re:Lessons learned building an ML trading system by roenxi on Wednesday November 27, 2019 @06:57PM (#21653407)
> you would see much less demand/supply

Why? If the HFT firm was willing to offer me $X 2 milliseconds ago they are probably still willing to offer $X now. It isn't like there has been time for anything to change; there are going to be short periods of time where there is literally no new information.

And they are just as likely to be offering me more now than less as conditions change.

Re:Lessons learned building an ML trading system by gpderetta on Thursday November 28, 2019 @08:15AM (#21657053)
if they weren't able to move their price 2 milliseconds later, they wouldn't offer $X in the first place.
Re:Lessons learned building an ML trading system by perl4ever on Wednesday November 27, 2019 @07:35PM (#21653672)
We obviously can have liquidity on in-between timescales, because we had it before modern HFT trading, right?

The average person may be overly paranoid about HFT, but it doesn't make sense to say they benefit from it, because they are not going to be in a position where they benefit from an execution in a fraction of a second.

Price improvement of fractions of a penny has gotten silly too. It's easy to think of it as more significant than it is, until you figure it as a percentage (or the spread for that matter).

It's kind of like how ultra-sensitive people are to gas prices...

Re:Lessons learned building an ML trading system by growse on Thursday November 28, 2019 @04:13AM (#21655733)
Before HFT, we had enormous spreads and expensive trades on many instruments in many markets.

Smaller spreads lower costs for everyone: institutional, retail etc.

Re:Lessons learned building an ML trading system by perl4ever on Thursday November 28, 2019 @09:31PM (#21661549)
When exactly are you thinking of? Are you old enough to remember before decimalization? Do you consider that "enormous"?