On January 11, 2011, CSSU announced Light Pool in an email sent to certain existing CSSU clients and potential Light Pool subscribers. The email was entitled “Credit Suisse announces Light Pool – the Market for the Long-term Investors.” In the email, CSSU represented, among other things, that “Light Pool identifies and discourages short-term opportunistic traders” by “[u]sing an objective and transparent formula” that “classifies traders based on their short-term alpha.”
Light Pool was for long-term investors, not short-term opportunistic traders. If you're a short-term opportunistic trader, get outta there:
CSSU explained that the Alpha Formula would operate as follows: "… what we’re going to do is, using an objective formula that classifies how - you are a pick-off artist or not, essentially, we’re going to split the flow into three groups…. Now, the people who are classified as opportunistic just get kicked out. They can’t come to Light Pool, that’s it."
If you follow high-frequency trading news at all, 2 you can guess how this turned out: Through a combination of loopholes, omissions, subjective interpretations of the facts, etc., Credit Suisse allowed several high-frequency trading firms who looked quite a bit like "pick-off artists" to remain in its dark pool, er, Light Pool. It did this in its other dark pool, Crossfinder, too, and Barclays did it in its dark pool, LX. All of these pools promised to protect long-term investors from opportunistic high-frequency traders, and all of them underperformed their promises. For these and other sins, Barclays and Credit Suisse settled, for $70 million and $84.3 million respectively, with the Securities and Exchange Commission and with New York Attorney General Eric Schneiderman. 3 QuickTake Trading on Speed
But here's what you might not have guessed about Light Pool's efforts to pick off the pick-off artists:
CSSU did kick out several indirect subscribers, who accessed Light Pool via CSSU algorithms and the AES SOR. Those indirect subscribers, whose trading scored “opportunistic” only because of the use of CSSU’s own algorithms and AES SOR, were blocked from having their orders routed directly to Light Pool and not given the opportunity to resume trading in Light Pool. Indirect subscribers also were not given the opportunity to improve the quality of their Light Pool trading to avoid being labeled as “opportunistic."
If you are a long-term investor, you don't necessarily know how to optimize your trading down to the microsecond. You don't access dark pools directly and trade opportunistically between pools; that's not your business model. Instead, you ask your broker to deal with market structure for you: You decide to buy, say, 100,000 shares of Apple stock to hold it forever and ever, so you send Credit Suisse the order. And Credit Suisse's algorithms and Advanced Execution Services Smart Order Router (that's the "AES SOR") break up your order, send it to different exchanges and dark pools (and Light Pool), and generally make sure that you get your 100,000 shares as efficiently as possible without having to worry about the details.
And you get classified as opportunistic! While Credit Suisse is bending over backward to reclassify opportunistic short-term high-frequency traders as well-behaved, so they can stay in the system. 4 The irony!
In contrast, in Crossfinder and LX, nice institutions who accessed the dark pool via Credit Suisse's and Barclays's routers and algorithms weren't classified as opportunistic. They weren't classified at all: Credit Suisse and Barclays had scoring systems that they used to check whether subscribers were opportunistic or not, and let subscribers choose whether or not to interact with more opportunistic subscribers, but they didn't apply those scoring systems to clients who used their algorithms. 5 So if you used the algorithm, you were good, even if the algorithm was picking off other clients.
One question you might have is: Should Credit Suisse really be building algorithms for its (nice, institutional) clients that opportunistically pick off its other (nice, institutional) clients?
I feel like the answer is ... sort of, yes? One model for all of this is that there's a kind of trading that is cheating, and another kind of trading that is nice, and most people use the nice kind, and the goal is just to keep out the ones who use the cheating kind. You could imagine what might look like cheating. Spoofing, certainly, is cheating. "Latency arbitrage" is a much-used term for a kind of cheating, so much so that Barclays advertised its ability to stop it in a chart that found its way into the settlement:
But this is all basically nonsense. 6 "Barclays did not 'continuously police' LX for predatory trading through the use of 'visualization tools' as depicted above." You can't actually know cheating when you see it, and even if you could, Barclays didn't look.
Instead, it used a quantitative system called "Liquidity Profiling," similar to Light Pool's "Alpha Formula" and Crossfinder's "alpha scoring." These systems were all basically efforts to answer the following question: When you buy stock, does the price go up or down? 7 If it goes up -- in the next very short period, say one second -- then you have positive alpha. If it goes down, you have negative alpha. If you regularly have a lot of positive alpha, you are Bad, and people shouldn't want to trade with you. If you regularly have a lot of negative alpha, people will be delighted to trade with you. But then, if you regularly have a lot of negative alpha, you should stop trading because you keep losing money. 8
The way these dark pools measured cheating is more or less that, if you made money trading in the dark pools, you were cheating. This measurement classified a lot of high-frequency trading firms as cheaters, since a high-frequency trading firm is more or less by definition a firm that makes money on very short-term stock-price swings. (The measurement also sometimes classified Credit Suisse's own algorithms as cheating, which means that they were doing a good job for customers!) This was awkward for the dark pools, which wanted to keep those high-frequency trading firms as customers. So they bent the rules to reclassify those firms as not cheaters, in ways that weren't particularly principled or well disclosed.
Here is a simple model of dark pools:
Is this fraud? I mean, sure, why not; it isn't especially pleasant. What are the alternatives, though? You could be a genuinely institution-to-institution dark pool, but you probably won't do that many trades. 9 Or you could just ship your clients' orders off to the public exchanges, where they'll be preyed upon by high-frequency traders without even a pretense of protection.
Or you could be honest with your customers about how your dark pool works. That is, I guess, the preferred model these days? It is difficult, though, because commentators and regulators and the dark-pool operators themselves have built up so much ill will against the high-frequency traders. How can you tell investors that you welcome high-frequency traders in your dark pool, after you've spent years promising to protect those investors from evil HFTs?
This model also explains a lot of the other stuff that Credit Suisse settled: It wanted to execute as many orders as possible internally, and did naughty things to achieve that. For instance, it gave its smart order router access to information about Crossfinder that the router wasn't supposed to have, which increased the odds of the router finding a match in Crossfinder. If the router finds a match in Crossfinder, then as a first-order matter that is good for the customer using the router (he got a trade!), good for the customer using Crossfinder (she got a trade too!), and good for Credit Suisse (it didn't have to send the client's order to an exchange). As a second-order matter, perhaps the customer using Crossfinder will feel picked off by the router, which is why this is frowned upon, but you can see why Credit Suisse did it. There were variants on this -- Credit Suisse naughtily shared some Crossfinder information with two stock exchanges, and some smart-order-router information with two high-frequency trading firms 10 -- that were perhaps less excusable but similarly motivated.
Also, more bluntly, if you used Credit Suisse's smart order router, it preferred to route your order to Credit Suisse's own dark pool. Of course it did! That, in my simple model, is the whole purpose of the dark pool: Credit Suisse wanted to execute as many orders as possibly internally, and if clients gave Credit Suisse the choice of where to send orders, it was going to send them to its own dark pool. But it told clients some hokum about how "the routing logic of the AES SOR did not preference venues based on criteria other than execution quality," and how "CSSU performed regular, periodic analysis of the venues to which the AES SOR routed client orders." It has now stopped doing that. I mean, it has stopped the hokum. It still prefers its own dark pool -- of course it does! -- but now it "has made disclosures regarding how its routing logic prioritizes Crossfinder."
A whole grab bag of miscellaneous misconduct also seems to have been stuffed into the settlements. 11 The timing, and the content, are perhaps related to the publication of my Bloomberg View colleague Michael Lewis's book "Flash Boys." One piece of misconduct that Credit Suisse settled had to do with sub-penny pricing. The details aren't that important, 12 but the gist is that Credit Suisse let Crossfinder subscribers put in orders that would price in increments of less than a penny, and the SEC decided that was a no-no. In the spring of 2011. At which point Credit Suisse stopped doing it. 13 And then ... five years passed. I think it is safe to say that fining dark pools millions of dollars for allowing sub-penny orders wasn't a high priority for the SEC. Then "Flash Boys" came out, and the SEC seems to have sort of looked around for stuff to generate dark-pool fines. It remembered the sub-penny thing from 2011, and here we are.
Even more directly relevant to "Flash Boys" is this:
On April 9, 2014, in response to LX subscriber inquiries generated by the publication of Michael Lewis’s book, Flash Boys, Barclays sent a marketing piece by email to LX subscribers that said that Barclays “utilize[s] direct feeds from exchanges to deter latency arbitrage.”
In fact, LX used direct feeds from some exchanges (BATS, ARCA and Nasdaq), but relied on the slower Securities Information Processor feeds from some other exchanges, including the New York Stock Exchange. High-frequency traders' use of faster direct feeds to pick off slow traders relying on the SIP is a major theme of "Flash Boys," and when the book came out, a lot of dark-pool and exchange operators got pointed questions about their use of the SIP. Barclays isn't the only one that flubbed those questions.
When Eric Schneiderman first brought his dark-pool lawsuit against Barclays in 2014, I admired Barclays's amazing ability to say things about its dark pool that were misleading but not strictly untrue. There's a bit of that going on here, too. Barclays didn't say "we utilize direct feeds from every exchange to deter latency arbitrage." It said "we use direct feeds from exchanges to deter latency arbitrage." That was true! It used direct feeds from exchanges. From more than one exchange. So: exchanges. It used the SIP from other exchanges. You have to be careful about your quantifiers. There is nothing literally false in that sentence, though it is not a paragon of honesty. 14
In 2014 I also pointed out that, while Barclays did seem to be misleading its customers, it was less clear whether and how those customers were harmed. As these cases conclude, that remains true: These settlements map out how Barclays and Credit Suisse failed in their promises to protect their customers from predatory high-frequency trading, but they are less clear on what "predatory high-frequency trading means," and how it hurts customers. "These cases mark the first major victory in the fight to combat fraud in dark pool trading and bring meaningful reforms to protect investors from predatory, high-frequency traders," says Schneiderman, but it is not clear from these settlements what those reforms will be. 15
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Which makes sense when you remember that, as far as Light Pool and Crossfinder and LX are concerned, "predatory high-frequency traders" means more or less "high-frequency traders who make money." There is an obvious sense of unease, and unfairness, about the fact that high-frequency traders make money; certainly if you are on the other side of their trades, you might prefer that they made less. But making money is not illegal, and the problem for regulators -- and dark pools -- will be distinguishing what is "predatory" and must be stopped from what is just good trading that makes money.
(Corrects footnote 10 and related text in article published Feb. 1 to reflect that two high-frequency trading firms, not seven, received router information from "Crosslink.")
This column does not necessarily reflect the opinion of the editorial board or Bloomberg LP and its owners.
I mean, don't take the phrase "dark pool" too literally. The Wall Street Journal says that Light Pool "displays bids and offers to sell stocks like an exchange does but has other characteristics of a dark pool."
Here are the SEC's press release, Barclays order, Credit Suisse Crossfinder order, and Credit Suisse Light Pool order. Here is the New York Attorney General's announcement. Credit Suisse doesn't admit or deny anything; Barclays "admitted to core facts set forth in the Attorney General’s Complaint from June 2014 alleging misrepresentations about how it operated its dark pool."
CSSU’s representations that “participants,” “traders,” or “clients” that received an “opportunistic” score would lose access to Light Pool were not accurate because CSSU did not apply the Alpha Formula to a subscriber’s trading as a whole, but instead applied it separately to the order flow submitted under each system ID of a subscriber. Subscribers could request different connections to Light Pool, for example, to designate different trading strategies that they may employ for trading in Light Pool. CSSU would assign different system IDs to these different connections. If a subscriber’s trading resulted in an “opportunistic” score for one of that subscriber’s system IDs, the subscriber would continue to have direct access to Light Pool through other system IDs that did not score as “opportunistic.”
Further, although CSSU suspended the few direct subscribers who were categorized as “opportunistic,” they were not “kicked out” because CSSU allowed them to resume trading after they promised to improve the quality of their order flow. The few direct subscribers who were deemed “opportunistic” were also allowed to continue trading through other system IDs that did not score as “opportunistic.”
CSSU also gave direct subscribers – including some HFTs - the opportunity to improve their trading to avoid being labeled “opportunistic.” CSSU made mid-monthly calls to direct subscribers whose flow was in danger of being characterized as opportunistic. This practice allowed direct subscribers to improve their flow to avoid an opportunistic score at month-end.
At times during the relevant period, Barclays also overrode its Liquidity Profiling subscriber categorizations with respect to numerous institutions that traded through a direct connection to LX if, in addition to the direct connection to LX, they also accessed LX by using Barclays’ algorithms (trading activity from Barclays’ algorithms generally would have been categorized as type 4 or 5 based on an objective application of the Liquidity Profiling metrics). Liquidity Profiling rated these subscribers as engaging in type 0, 1, 2, or 3 trading, the more “aggressive” Liquidity Profiling subscriber categories. Barclays, however, overrode these categorizations and instead recategorized them as type 4 or 5 subscribers, the least aggressive Liquidity Profiling subscriber categories.
I think you can read that to mean that (1) the algo itself was not scored, but (2) if it had been it would have gotten a 4 or a 5, i.e., not-very-aggressive trading. Also, though, if you were an institution that sometimes used the algo and sometimes didn't, you'd get classified as a 4 or a 5 even if your non-algo trading was pretty opportunistic.
Crossfinder's Form ATS (page 11) seems to classify "Algo" and "Retail" client types as "Non-Scored Client Types," which I assume means they weren't assigned a score.
There's a useful parallel to the foreign exchange market, where Barclays got in trouble for using "last look." Barclays justified last look with a bunch of babble about "toxic flow" and latency arbitrage, and the New York Department of Financial Services was shocked and disappointed to learn that Barclays "did not perform an analysis to ensure Last Look was limiting its rejections to trades that in fact reflected 'latency arbitrage' or other truly 'toxic' flow." Of course it didn't. The measure of toxic flow, for Barclays, was that if the price went up after it sold (or down after it bought), then that was "toxic." So it used last look on every trade to make sure that it didn't get sent the wrong way.
Obviously this is a simplification. In particular, these metrics look primarily at take alpha, that is, whether the stock goes up or down when the subscriber takes liquidity (as opposed to providing liquidity passively). Also they tend to use other metrics as well. Here is Liquidity Profiling:
Barclays designed Liquidity Profiling to use various metrics to assess the aggressiveness of LX subscribers’ trading activity in LX. The primary metrics used included: 1-Second Take Alpha (which Barclays defined as the movement of the mid-quote from the time of the trade to one second later, normalized by the size of the spread) and Normalized Order Size (which Barclays defined as the average LX subscriber order size in LX, normalized by the average execution size in the market, for an individual security).
And Crossfinder's alpha scoring:
SSU has calculated and used various scoring benchmarks to measure alpha. For example, CSSU has compared the execution price, the volume weighted average price, the number of shares traded and the number of executions before and after a given trade at numerous times (e.g., 1, 15, 30, or 60 seconds) and ticks (e.g. 10, 25, 100, 200, or 500) after the trade in order to determine alpha score. CSSU has also taken other measurable factors into account when categorizing subscribers, including frequency of order cancellation and too-late-to-cancel messages, fill rates, and add/take ratios.
And Light Pool's Alpha Formula:
The Light Pool Alpha Formula, which CSSU began to apply monthly in June 2012, is geared toward determining whether there is “negative selection,” which occurs when the stock price moves against one counterparty to an executed trade within a short period of time after the trade. The Alpha Formula analyzes executions on Light Pool that remove liquidity for direct and indirect subscribers that have at least a certain number of trades during the month that take liquidity and then calculates a “negative selection” score for each subscriber based on the change in price during the one second following those executions. Subscribers who take liquidity in Light Pool and regularly have the price subsequently move in their favor are to be categorized as “opportunistic.”
Or not, you do you, I don't judge. For instance, if you regularly buy and hold stock for a year, and whenever you buy stock it goes down for one second and then goes up for the rest of the year, your strategy is great, even though you have negative one-second alpha. Negative one-second alpha is not a concern for a long-term buy-and-hold investor.
Even for a high-frequency trader, negative one-second take alpha might be okay: You could almost always make money in your passive, market-making, liquidity-providing trading, but every so often you decide to take liquidity to balance out your books, and when you do that you lose a little bit of money. That could still be fine. But if you are regularly taking liquidity, you'd rather prefer to make money doing it.
These are in paragraphs 35-37 and 60-65, respectively, of the Crossfinder order. "CSSU discussed the Crosslink technology," which shared router information, "with seven HFT firms, although only two such firms executed trades using Crosslink in material volumes."
Pure footnote-level misconduct includes:
Basically, Crossfinder accepted peg orders that would end up being priced in increments of less than a penny, in violation of Rule 612 of Regulation NMS. See paragraphs 18-24 of the Crossfinder order. UBS's dark pool did the same thing, and UBS settled its SEC case last year; we talked about it at the time. Credit Suisse and UBS seem to have confused what dark pools were allowed to do with what wholesalers were (and still are) allowed to do; the SEC ultimately disagreed, but it was a close enough question that no one got in trouble for it until recently.
Paragraph 67 of the Crossfinder order: "In April 2011, CSSU discontinued the use of the order tags that resulted in the acceptance and ranking of sub-penny orders." It's not clear from the order why Credit Suisse stopped, but UBS had stopped ranking sub-penny orders in March 2011 "after a Commission examination team had identified PPP and raised concerns that it might violate Rule 612 of Regulation NMS," so I assume that the SEC's disapproval was at least in the air at the time, if not communicated directly to Credit Suisse.
Another response -- "Combination of SIP (for regional venues) and direct feeds (for major exchanges)" -- is perhaps even less a paragon of honesty, unless NYSE is somehow a "regional venue."
Barclays will "install an independent monitor to conduct an in-depth review of Barclays’ electronic trading business, and to propose further reforms to ensure that the company complies with New York law," so stay tuned I guess. Meanwhile in Light Pool, most of the stuff that the SEC and AG dislike will continue; it will just be better disclosed:
CSSU has also provided additional disclosures to all Light Pool subscribers regarding Light Pool’s Alpha Formula scoring methodology, which, among other things, disclose the differences in how the Alpha Formula is applied to direct and indirect subscribers and that Alpha Formula scoring applies to system IDs. CSSU has also updated its Form ATS for Light Pool to include such disclosures.
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