What you are describing is the most basic, canonical form of latency arbitrage.
That idea is implemented widely in the HFT industry across all sorts of products, not just crypto, with billions spent on trading the information faster
(Source: this is my job).
Not being rude or judgemental, just want to know how you feel about this.
I think your question makes some incorrect factual assumptions, but also it incorporates a world view that I don't subscribe to (not wrong, but also not what I believe).
I think that if I had your belief system and your set of facts, I would probably feel uncomfortable about it.
As for "my" set of facts... well they're just facts :) not "mine" or "yours".
My point is that I'm curious regarding how the people who work in these things feel about their job. Do they think they're doing a right thing? Do they "own it" to themselves that they don't care as long as they make money? Do they not think about it too much?
in return HFT provides liquidity (and by that smaller spreads) to the market, I would think.
If you ever bought or sold a stock with a market order, you profited from the work the HFT is doing.
Isn't Robinhood able to offer free trading to customers solely because they sell their order flow on to, among others, HFT firms?[0]
[0] https://www.cnbc.com/2020/08/13/how-robinhood-makes-money-on...
His job facilitates trades between people who want to trade with each other. Since they are part of society, our society benefits from his work.
Evidently it's doing more than "make some already fabulously rich people even richer", because it's paying salaries for some programmers, as well.
Crypto is one level more complicated, because you don't share inventory across exchanges and transaction costs are high, which means a coin on Exchange1 isn't perfectly fungible with a coin on Exchange2.
One level more indirect than that might be basis trades, where you trade a derivative ( like SP500 futures) vs it's underlying (the SP500 stocks, although in practice it's SP500 ETFs). So here the correlation is very high but there is a difference between futures, stocks, and ETFs fundamentally, and those play into the pricing.
Going even further might be trading correlated products that don't have the same underlying, example is Nasdaq futures vs SP500 futures.
To simplify: It's basically about the level of correlation between the products. The strategies used to trade different correlations look qualitatively different.
Other place to look is whether the data was recorded with timestamps of where the trading happened, but you probably thought of that one.
Idea makes sense though.