In finance, a dark pool (also black pool) is a private forum for trading securities, derivatives, and other financial instruments.Liquidity on these markets is called dark pool liquidity. The bulk of dark pool trades represent large trades by financial institutions that are offered away from public exchanges like the New York Stock Exchange and the NASDAQ, so that such trades remain confidential and outside the purview of the general investing public. The fragmentation of electronic trading platforms has allowed dark pools to be created, and they are normally accessed through crossing networks or directly among market participants via private contractual arrangements. Generally dark pools are not available to the public, but in some cases they may be accessed indirectly by retail investors and traders via retail brokers.
One of the main advantages for institutional investors in using dark pools is for buying or selling large blocks of securities without showing their hand to others and thus avoiding market impact as neither the size of the trade nor the identity are revealed until some time after the trade is filled. However, it also means that some market participants are disadvantaged as they cannot see the orders before they are executed; prices are agreed upon by participants in the dark pools, so the market is no longer transparent.
Three major types of dark pools exist:
Dark pools are heavily used in high-frequency trading which has also led to a conflict of interest for those operating dark pools due to payment for order flow and priority access. High frequency traders may obtain information from placing orders in one dark pool that can be used on other exchanges or dark pools. Depending on the precise way in which a "dark" pool operates and interacts with other venues, it may be considered, and indeed referred to by some vendors, as a "grey" pool.
These systems and strategies typically seek liquidity among open and closed trading venues, such as other alternative trading systems. Dark pools have grown in importance since 2007, with dozens of different pools garnering a substantial portion of U.S. equity trading. Dark pools are of various types and can execute trades in multiple ways, such as through negotiation or automatically (e.g., midpoint crosses, staggered crosses, VWAP, etc.), throughout the day or at scheduled times.
The origin of Dark Pools date back to 1979 when a financial regulation changed in the United States that allowed securities listed on a given exchange to be actively traded off the exchange in which it was listed. Known as reg 19c3 the U.S. Securities and Exchange Commission passed the regulation which would start on April 26, 1979.
The new regulation allowed the emergence of dark pools through the 1980s that allowed investors to trade large block orders while avoiding market impact and give privacy. In 1986, Instinet started the first dark pool trading venue known as "After Hours Cross." However it was not until the next year that ITG created the first intraday dark pool "POSIT", both allowed large trades to be executed anonymously which was attractive to sellers of large blocks of shares. For the next 20 years trades executed on dark pools represented a small fraction of the market between (3-5%) of all trades. This was sometimes referred to as "upstairs trading".
The next big development in dark pools came in 2007 the SEC passed Regulation NMS (National Market System), this allowed investors to bypass public exchanges to gain price improvements. The effect of this was to attract a number of new players to the market and a large number of dark pools were created over the next 10 years. This was spurred on with the improvements of technology and increasing speed of execution as high-frequency trading took advantage of these dark dark pools.
Truly dark liquidity can be collected off-market in dark pools using FIX and FAST protocol based APIs. Dark pools are generally very similar to standard markets with similar order types, pricing rules and prioritization rules. However, the liquidity is deliberately not advertised--there is no market depth feed. Such markets have no need of an iceberg-order type. In addition, they prefer not to print the trades to any public data feed, or if legally required to do so, will do so with as large a delay as legally possible--all to reduce the market impact of any trade. Dark pools are often formed from brokers' order books and other off-market liquidity. When comparing pools, careful checks should be made as to how liquidity numbers were calculated--some venues count both sides of the trade, or even count liquidity that was posted but not filled.
Dark liquidity pools offer institutional investors many of the efficiencies associated with trading on the exchanges' public limit order books but without showing their actions to others. Dark liquidity pools avoid this risk because neither the price nor the identity of the trading company is displayed.
Dark pools are recorded to the national consolidated tape. However, they are recorded as over-the-counter transactions. Therefore, detailed information about the volumes and types of transactions is left to the crossing network to report to clients if they desire and are contractually obligated.
Dark pools allow funds to line up and move large blocks of equities without tipping their hands as to what they are up to. Modern electronic trading platforms and the lack of human interaction have reduced the time scale on market movements. This increased responsiveness of the price of an equity to market pressures has made it more difficult to move large blocks of stock without affecting the price. Thus dark pools may protect traders from market participants who use HFT in a predatory manner.
Dark pools are run by private brokerages which operate under fewer regulatory and public disclosure requirements than public exchanges.Tabb Group estimates trading on the dark pools accounts for 32% of trades in 2012 vs 26% in 2008.
Some markets allow dark liquidity to be posted inside the existing limit order book alongside public liquidity, usually through the use of iceberg orders. Iceberg orders generally specify an additional "display quantity"--i.e., smaller than the overall order quantity. The order is queued along with other orders but only the display quantity is printed to the market depth. When the order reaches the front of its price queue, only the display quantity is filled before the order is automatically put at the back of the queue and must wait for its next chance to get a fill. Such orders will, therefore, get filled less quickly than the fully public equivalent, and they often carry an explicit cost penalty in the form of a larger execution cost charged by the market. Iceberg orders are not truly dark either, as the trade is usually visible after the fact in the market's public trade feed.
For an asset that can be only publicly traded, the standard price discovery process is generally assumed to ensure that at any given time the price is approximately "correct" or "fair". However, very few assets are in this category since most can be traded off market without printing the trade to a publicly accessible data source. As the proportion of the daily volume of the asset that is traded in such a hidden manner increases, the public price might still be considered fair. However, if public trading continues to decrease as hidden trading increases, it can be seen that the public price does not take into account all information about the asset (in particular, it does not take into account what was traded but hidden) and thus the public price may no longer be "fair".
Yet when trades executed in dark pools are incorporated into a post-trade transparency regime, investors have access to them as a part of a consolidated tape. This can aid price discovery because institutional investors who are reluctant to tip their hands in lit market still have to trade and thus a dark pool with post-trade transparency improves price discovery by increasing the amount of trading taking place.
While it is safe to say that trading on a dark venue will reduce market impact, it is very unlikely to reduce it to zero. In particular the liquidity that crosses when there is a transaction has to come from somewhere--and at least some of it is likely to come from the public market, as automated broker systems intercept market-bound orders and instead cross them with the buyer/seller. This disappearance of the opposite side liquidity as it trades with the buyer/seller and leaves the market will cause impact. In addition, the order will slow down the market movement in the direction favorable to the buyer/seller and speed it up in the unfavourable direction. The market impact of the hidden liquidity is greatest when all of the public liquidity has a chance to cross with the user and least when the user is able to cross with ONLY other hidden liquidity that is also not represented on the market. In other words, the user has a tradeoff: reduce the speed of execution by crossing with only dark liquidity or increase it and increase their market impact.
One potential problem with crossing networks is the so-called winner's curse. Fulfillment of an order implies that the seller actually had more liquidity behind their order than the buyer. If the seller was making many small orders across a long period of time, this would not be relevant. However, when large volumes are being traded, it can be assumed that the other side--being even larger--has the power to cause market impact and thus push the price against the buyer. Paradoxically, the fulfillment of a large order is actually an indicator that the buyer would have benefitted from not placing the order to begin with--he or she would have been better off waiting for the seller's market impact, and then purchasing at the new price.
Another type of adverse selection is caused on a very short-term basis by the economics of dark pools versus displayed markets. If a buy-side institution adds liquidity in the open market, a prop desk at a bank may want to take that liquidity because they have a short-term need. The prop desk would have to pay an Exchange/ECN access fee to take the liquidity in the displayed market. On the other hand, if the buy-side institution were floating their order in the prop desk's broker dark pool, then the economics make it very favorable to the prop desk: They pay little or no access fee to access their own dark pool, and the parent broker gets tape revenue for printing the trade on an exchange. For this reason, it is recommended that when entities transact in smaller sizes and do not have short-term alpha, do not add liquidity to dark pools; rather, go to the open market where the short-term adverse selection is likely to be less severe.
The use of dark pools for trading has also attracted controversy and regulatory action in part due to their opaque nature and conflicts of interest by the operator of the dark pool and the participants, a subject that was the focus of Flash Boys a non-fiction book published in 2014 by Michael Lewis about high-frequency trading (HFT) in financial markets.
Pipeline Trading Systems LLC, a company offering its services as a dark pool, contracted an affiliate that transacted the trades. In the Pipeline case, the firm attempted to provide a trading system that would protect investors from the open, public electronic marketplace. In that system, investors' orders would be made public on the consolidated tape as soon as they were announced, which traders characterized as "playing poker with your cards face up". The service Pipeline offered was to find counterparties for various trades in a private manner. The firm was subsequently investigated and sued by the U.S. Securities and Exchange Commission (SEC) for misleading its clients. Following its 2011 settlement of the SEC's claims against it, the firm rebranded itself as Aritas Securities LLC in January 2012.
In 2009 the U.S. Securities and Exchange Commission (SEC) announced that it was proposing measures to increase the transparency of dark pools, "so investors get a clearer view of stock prices and liquidity". These requirements would involve that information about investor interest in buying or selling stock be made available to the public, instead of to only the members of a dark pools.FINRA announced in January 2013 that it will expand its monitoring of dark pools.
In June 2014 the U.S. state of New York filed a lawsuit against Barclays alleging the bank defrauded and deceived investors over its dark pool. A central allegation of the suit is that Barclays misrepresented the level of aggressive HFT activity in its dark pool to other clients. The state, in its complaint, said it was being assisted by former Barclays executives and it was seeking unspecified damages. The bank's shares dropped 5% on news of the lawsuit, prompting an announcement to the London Stock Exchange by the bank saying it was taking the allegations seriously, and was cooperating with the New York attorney general. In July 2014 Barclays filed a motion for the suit to be dismissed, saying there had been no fraud, no victims and no harm to anyone. The New York Attorney General's office said it was confident the motion would not succeed. In January 2016, Barclays agreed to pay a fine of $35 million to SEC and $70 million to NYAG for its dark pool wrongdoings.
In January 2015 the U.S. regulators imposed a fine on UBS Group AG's dark pool for failing to follow rules designed to ensure stock trades are executed fairly. In ordering UBS to pay $14.4 million, including a $12 million fine that exceeds all prior penalties against an alternative trading system, the Securities and Exchange Commission flagged a series of violations from 2008 to 2012. It said UBS let customers submit orders at prices denominated in increments smaller than a penny, something SEC rules prohibit because it can be used to get a better place in line when buying or selling stock. The ability to trade in sub-penny increments also wasn't widely disclosed to UBS customers, and was instead pitched secretly to market makers including high-frequency traders, according to the SEC.
In August 2015, ITG (and its affiliate AlterNet Securities) settled with SEC for $20.3 million due to operating a secret trading desk and misusing the confidential trading information of dark pool subscribers.