Ars Technica gives us a look into the world of "High Frequency Trading" (HFT), a lightspeed quick automated style of stock-market trading that uses semiautonomous systems to buy and sell assets in a fraction of a second, for a fraction of a cent more than they paid, a billion times, and make real money:
Some categories of "predatory algos" closely monitor the markets in order to sniff out exactly these types of hidden large orders, so that the algo can trade against them. For instance, if a predatory algo detects that someone is trying to hide a large sell order for INTC by trickling it out into the market in small blocks, it might work to bid down the price of INTC just a bit so that it can pick up those blocks at a discount and then sell them for a profit when the share price floats back up to the market's earlier, non-manipulated valuation...
The Matrix, but with money: the world of high-speed trading
The final animal in the HFT menagerie that I'll point out on this brief tour is the automated market maker (AMM), which is a subtype of what is often called "dark pools," or "dark liquidity." AMMs like Citadel always stand ready to buy and sell large quantities of assets, and they don't publish price quotes to other market participants via exchanges.
To find out what assets a dark pool will either sell or buy and at what price, you first have to ping it. Once you ping the pool with a request to, say, buy a specific asset, the pool will reply with the price that it's willing to sell you that asset for. You can either accept the price and complete the transaction, or turn it down and ping again later to see if the price has moved in your direction.
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I’m at Institute for the Future in Palo Alto, CA today (I’m on staff) at the Positive Platform Design Jam, where we had Cornell historian Louis Hyman give a presentation called “Unnatural Capitalism: How the New Deal Reinvented Capitalism and Why We Need to Do It Again.” You can watch a video recording of his […]
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