https://platform.twitter.com/widgets.js twitter.com/robinwigg/status/1151195674979049472How markets have evolved over the past decade. pic.twitter.com/zrR5StdqzE— Robin Wigglesworth (@RobinWigg) July 16, 2019
-- The MasterFeeds
https://platform.twitter.com/widgets.js twitter.com/robinwigg/status/1151195674979049472How markets have evolved over the past decade. pic.twitter.com/zrR5StdqzE— Robin Wigglesworth (@RobinWigg) July 16, 2019
What’s fascinating about all this is both the seemingly endless possibilities for both chaos and mischief. It seems impossible that we stumbled onto the only example of this kind of upward pricing spiral – all it took were two sellers adjusting their prices in response to each other by factors whose products were greater than 1. And while it might have been more difficult to deconstruct, one can easily see how even more bizarre things could happen when more than two sellers are in the game. And as soon as it was clear what was going on here, I and the people I talked to about this couldn’t help but start thinking about ways to exploit our ability to predict how others would price their books down to the 5th significant digit – especially when they were clearly not paying careful attention to what their algorithms were doing.Cue in-depth analysis of third party vendors providing pricing algorithms for independent traders on Amazon and Ebay.
So, now we have Flash Crashes and Flash Dashes outside the stock market! Is everything being priced in the universe today, not with forethought, but rather as some relation to another price, which in turn is set in relation to yet another price? All without human intervention? Is this wise? Is anyone doing the thinking? Is anyone doing “the work” in our stock markets, as well as on AMAZON? On the eve of the May 6th Flash Crash, perhaps it is wise to think about that question.Of course, while most ‘flash crash day’ trades were cancelled in the end, we wonder how many Amazon buyers who realise they’ve been had via algo mispricing end up cancelling their trades. And how often it happens.
Human traders finally appear on the NYSE floor for the first time in years to allow the biggest flip in history to begin.
And courtesy of the green shoe, Wall Street's underwriters are about to make $2 billion. Free lunch for everyone. Ironically, Getco's DMM status being fully tested as HFT moves entirely to trading GM. Some very appropriate commentary from a desk: "20% OF ISSUE SIZE TRADED IN 10 MINUTES. THIS IS THE MOST AMAZING CHURN I HAVE SEEN IN MY LIFE."
Using powerful computers and data feeds, high-frequency trading firms typically hold stocks a few minutes and sometimes only a few seconds at a time, churning roughly half of total stock-market volume. Whenever you—and your mutual fund or pension plan—buy or sell a stock, one of these fast-trading firms is likely to be on the other side of the trade.Yet order flow leakage and anticipation is precisely the key issue behind the great battle currently raging between HFTs and slow money: algorithms constantly seek and find new way to predict if a small block is closed or if there are millions of shares lying in wait behind it, forced to transact at any price. Themis Trading's Joe Saluzzi has discussed this issue extensively before, for example in this article in Advanced Trading [2] magazine, in which he notes that implicit costs associated with constant order frontrunning by HFTs, "have been rising and hurting pension and mutual fund performance. Even the most sophisticated buy-side quantitative funds are also experiencing higher trading costs, as their models are also being spotted and taken advantage of by their highspeed, high-frequency trading cousins."
The problem? While some fund leaders have praised high-frequency trading for making markets more efficient, others contend that the profits earned by fast traders may come partly at the expense of ordinary investors.
Mutual funds and other giant investors are often forced buyers and sellers. When money comes in they must buy stocks; when it goes out they must sell. Their typical buy or sell order is roughly 185,000 shares. Yet the average trade size on U.S. exchanges is only about 100 to 300 shares.
So institutions trade in dribs and drabs. A giant buy order would push up a stock; a huge sell order would knock it down. "Would you leave $100 in cash on the street corner and hope nobody takes it, or would you hide it in your pocket?" asks Andrew Brooks, head of U.S. equity trading at T. Rowe Price. "Information about our order flow is valuable, and we need to protect it."
Any institutional order for a couple hundred shares can have thousands or even millions of shares behind it. A fast trader that can infer which orders were placed by a big institution gains an insight into how stock prices may be about to change. Whoever gets there first stands to make a tiny profit on each of those trades.Some of the larger exchanges are now fighting back with all they have - starting tomorrow the NYSE is now instituting a small way to throw a wrench in the HFT spokes: selective order ID elimination.
Direct data feeds supplied to fast traders by several major exchanges have customarily included an "order ID"—a kind of tag that, according to several traders, may assist a fast trader in deducing whether a large institution lurks behind a small order. Starting Oct. 4, the NYSE Arca exchange will give customers the option of having these IDs removed from its direct data feeds on orders they don't want displayed to the whole market.Another exchange, recently known for doing pretty much anything to win order flow, and thus permitting all sorts of alleged shady practices to take effect on it is BATS, which chimes in on another practice known as "partial post only at limit."
Traders say the absence of the ID may itself alert rapid traders to the presence of a large, hidden order. "Without the order ID, we don't think anyone could map the order to any other information to divine that it is part of something larger," responds Ray Pellecchia, an NYSE Euronext spokesman.
Or consider a type of trading order called a "partial post only at limit." Here, if a fast trader's small buy order is rejected instead of executed, the firm can deduce that a large block of shares may lie hidden in reserve, poised to sell at a given price. Thus a trader may be able to get information without executing the trade. Clever use of this order type can increase the trader's odds of being in the right place at the right time—capturing a splinter-thin, lightning-fast profit before the institution can move.Which is why, since the SEC refuses to get involved, starting tomorrow, all readers should immediately notify their brokers to stop allowing their orders to be Flashed (a topic extensively discussed last summer and which is still continuing with the SEC's blessing) if they have not already done so (as this implicitly allows non-qualified orders to be front run), and to stop trading with any exchange with either has no idea what this is, or refuses to comply. More importantly, brokers should also be advised to drop all order IDs tagging each and every individual order. Since the HFTs front run stock blocks based on a statistical distribution of tagged versus untagged orders, the only hope of equalizing the playing field is if every single order is now untagged, thus fooling HFTs into believing that there is large money sitting in the bid behind the order. Granted, this may force prevailing prices higher for the time being, but the end result will be a faster divergence from market equilibrium, which eventually, when the balance inevitably reasserts itself, will force the vast majority of HFTs to be blown up once there is a market correction and the computers are caught with artificially dollar-cost average inflated prevailing prices. In other words: open war on HFTs has been declared, and since regulators refuse to stand on the side of the small and long-term investors, it is time to form a unified block against the HFT scourge.
Chris Isaacson, chief operating officer at BATS Exchange, the third-largest U.S. stock market, downplays such concerns. "This order type is rarely used and would be very complex to implement for the purpose of detecting a large order on the other side," he says. Such a trader "would have to be willing to take considerable risk."
Read the full article at: http://www.ft.com/cms/s/0/ec822fb4-366d-11df-8151-00144feabdc0.html
By Roel Landingin in Manila
Published: September 1 2010 17:02 | Last updated: September 1 2010 17:02
The Philippine Stock Exchange describes it as “birth pains”. But market participants in Manila have been scratching their heads after the exchange’s new trading and market data system reported an erroneous 15 per cent jump in the PSE main index – instead of the correct 0.63 per cent when the system was rolled out on July 26.
It promptly issued advisories for investors to ignore the index numbers on its website.
In the past week, the exchange has again issued similar advisories on two occasions: on August 27 and 31. In a statement released on Tuesday the PSE said it had moved the location of its back-office servers over the weekend. “The server shift has affected the accessibility of index statistics on the website,” it said, without elaborating. The PSE has not responded to emails requesting clarity and more details.
Exchange officials insist the glitches are minor and have not affected trading at all. Some brokers beg to disagree. “We are experiencing more downtimes now. We’ve had three last week,” said Joey Roxas, a long-time Manila stock broker. He also complained that the stock exchange’s website has been going down more often of late, interrupting public access to potentially market-moving disclosures by listed firms.
It is not clear if the disruptions are all due to the adoption of new trading system, which the PSE has acquired from NYSE Technologies. But they are adding to brokers’ concerns about replacing the old trading system that has been in use for 15 years.
Mr Roxas said many brokers complain that the new system’s menu for entering orders occupies a smaller window on the computer monitor and requires more keystrokes.
He added that many are grumbling that their concerns are not being addressed by an exchange board whose members are mostly no longer stockbrokers.
Still, the technical disruptions have not stopped the local stock market from soaring on the back of strong corporate profits and faster economic growth. Weeks after the shift to the new trading, the PSE index rose to a 31-month high on August 20 when it closed at 3,593.60 points. It ended at 3,593.41 points on Wednesday.
The PSE’s programmers and engineers are hard at work to fix the computer glitches. Exchange officials will need to work harder to repair ties with the stock brokers.
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