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Automated Trading System
An automated trading system (ATS), a subset of algorithmic trading, uses a computer program to create buy and sell orders and automatically submits the orders to a market center or exchange. The computer program will automatically generate orders based on predefined set of rules using a trading strategy which is based on technical analysis, advanced statistical and mathematical computations or input from other electronic sources. Automated trading systems are often used with electronic trading in automated market centers, including electronic communication networks, " dark pools", and automated exchanges. Automated trading systems and electronic trading platforms can execute repetitive tasks at speeds orders of magnitude greater than any human equivalent. Traditional risk controls and safeguards that relied on human judgment are not appropriate for automated trading and this has caused issues such as the 2010 Flash Crash. New controls such as trading curbs or 'circuit breakers' ...
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Algorithmic Trading
Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. This type of trading attempts to leverage the speed and computational resources of computers relative to human traders. In the twenty-first century, algorithmic trading has been gaining traction with both retail and institutional traders. It is widely used by investment banks, pension funds, mutual funds, and hedge funds that may need to spread out the execution of a larger order or perform trades too fast for human traders to react to. A study in 2019 showed that around 92% of trading in the Forex market was performed by trading algorithms rather than humans. The term algorithmic trading is often used synonymously with automated trading system. These encompass a variety of trading strategies, some of which are based on formulas and results from mathematical finance, and often rely on specialized software. Examples ...
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New York Stock Exchange
The New York Stock Exchange (NYSE, nicknamed "The Big Board") is an American stock exchange in the Financial District of Lower Manhattan in New York City. It is by far the world's largest stock exchange by market capitalization of its listed companies at US$30.1 trillion as of February 2018. The average daily trading value was approximately 169 billion in 2013. The NYSE trading floor is at the New York Stock Exchange Building on 11 Wall Street and 18 Broad Street and is a National Historic Landmark. An additional trading room, at 30 Broad Street, was closed in February 2007. The NYSE is owned by Intercontinental Exchange, an American holding company that it also lists (). Previously, it was part of NYSE Euronext (NYX), which was formed by the NYSE's 2007 merger with Euronext. History The earliest recorded organization of securities trading in New York among brokers directly dealing with each other can be traced to the Buttonwood Agreement. Previously, sec ...
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SPDR
SPDR funds (pronounced "spider") are a family of exchange-traded funds (ETFs) traded in the United States, Europe, Mexico and Asia-Pacific and managed by State Street Global Advisors (SSGA). Informally, they are also known as Spyders or Spiders. SPDR is a trademark of Standard and Poor's Financial Services LLC, a subsidiary of S&P Global. The name is an acronym for the first member of the family, the ''Standard & Poor's Depositary Receipts'', now the SPDR S&P 500 Trust ETF, which is designed to track the S&P 500 stock market index. For a long time, the SPDR S&P 500 was the largest ETF in the world. SSGA also manage the SPDR Gold Shares, which for a while was the second-largest ETF in the world. As of August 2012, they were the first and second largest exchange-traded products in the world. The funds are formulated as unit investment trusts. In 2007, SSGA rebranded its other United States ETFs as SPDRs, including the StreetTRACKS family and its other flagship ETF shares, the D ...
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Bloomberg News
Bloomberg News (originally Bloomberg Business News) is an international news agency headquartered in New York City and a division of Bloomberg L.P. Content produced by Bloomberg News is disseminated through Bloomberg Terminals, Bloomberg Television, Bloomberg Radio, '' Bloomberg Businessweek'', ''Bloomberg Markets'', Bloomberg.com, and Bloomberg's mobile platforms. Since 2015, John Micklethwait has served as editor-in-chief. History Bloomberg News was founded by Michael Bloomberg and Matthew Winkler in 1990 to deliver financial news reporting to Bloomberg Terminal subscribers. The agency was established in 1990 with a team of six people. Winkler was first editor-in-chief. In 2010, Bloomberg News included more than 2,300 editors and reporters in 72 countries and 146 news bureaus worldwide. Beginnings (1990–1995) Bloomberg Business News was created to expand the services offered through the terminals. According to Matthew Winkler, then a writer for ''The Wall Street Jou ...
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Knight Capital Group
The Knight Capital Group was an American global financial services firm engaging in market making, electronic execution, and institutional sales and trading. With its high-frequency trading algorithms Knight was the largest trader in U.S. equities, with a market share of 17.3% on NYSE and 16.9% on NASDAQ. The company agreed to be acquired by Getco LLC in December 2012 after an August 2012 trading error lost $460 million. The merger was completed in July 2013, forming KCG Holdings. Company Knight was formerly known as Knight/Trimark Group, Inc. and Knight Trading Group, Inc. Initially, Knight Trading group had multiple offices located in the United States and in other cities around the world. Knight's Asset Management offices were headquartered in Minnetonka, Minnesota, with offices in Hong Kong, China, and London. Activities Knight's largest business was market making in U.S. equities. Its Electronic Trading Group (ETG) covered more than 19,000 U.S. securities with an averag ...
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Dow Jones Industrial Average
The Dow Jones Industrial Average (DJIA), Dow Jones, or simply the Dow (), is a stock market index of 30 prominent companies listed on stock exchanges in the United States. The DJIA is one of the oldest and most commonly followed equity indexes. Many professionals consider it to be an inadequate representation of the overall U.S. stock market compared to a broader market index such as the S&P 500. The DJIA includes only 30 large companies. It is price-weighted, unlike stock indices which use market capitalization. Furthermore, the DJIA does not use a weighted arithmetic mean. The value of the index can also be calculated as the sum of the stock prices of the companies included in the index, divided by a factor which is currently () approximately 0.152. The factor is changed whenever a constituent company undergoes a stock split so that the value of the index is unaffected by the stock split. First calculated on May 26, 1896, the index is the second-oldest among U.S. market ...
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Financial Industry Regulatory Authority
The Financial Industry Regulatory Authority (FINRA) is a private American corporation that acts as a self-regulatory organization (SRO) that regulates member brokerage firms and exchange markets. FINRA is the successor to the National Association of Securities Dealers, Inc. (NASD) as well as the member regulation, enforcement, and arbitration operations of the New York Stock Exchange. The U.S. government agency that acts as the ultimate regulator of the U.S. securities industry, including FINRA, is the U.S. Securities and Exchange Commission (SEC). Overview The Financial Industry Regulatory Authority is the largest independent regulator for all securities firms doing business in the United States. FINRA's mission is to protect investors by making sure the United States securities industry operates fairly and honestly. In December 2019, FINRA oversaw 3,517 brokerage firms, 153,907 branch offices and approximately 624,674 registered securities representatives. FINRA has ap ...
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Layering (finance)
Layering is a strategy in high-frequency trading where a trader makes and then cancels orders that they never intend to have executed in hopes of influencing the stock price. For instance, to buy stock at a lower price, the trader initially places orders to sell at or below the market ask price. This may cause the market's best ask price to fall as other market participants lower their asking prices because they perceive selling pressure as they see the sell orders being entered on the order book. The trader may place subsequent sell orders for the security at successively lower prices as the best ask price falls (to increase the appearance of selling interest). After the price has fallen sufficiently, the trader makes a real trade, buying the stock at the now lower best ask price, and cancels all the sell orders. It is considered a form of stock market manipulation In economics and finance, market manipulation is a type of market abuse where there is a deliberate attempt to ...
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Spoofing (finance)
Spoofing is a disruptive algorithmic trading activity employed by traders to outpace other market participants and to manipulate markets. Spoofers feign interest in trading futures, stocks and other products in financial markets creating an illusion of the demand and supply of the traded asset. In an order driven market, spoofers post a relatively large number of limit orders on one side of the limit order book to make other market participants believe that there is pressure to sell (limit orders are posted on the offer side of the book) or to buy (limit orders are posted on the bid side of the book) the asset. Spoofing may cause prices to change because the market interprets the one-sided pressure in the limit order book as a shift in the balance of the number of investors who wish to purchase or sell the asset, which causes prices to increase (more buyers than sellers) or prices to decline (more sellers than buyers). Spoofers bid or offer with intent to cancel before the orders a ...
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High-frequency Trading
High-frequency trading (HFT) is a type of algorithmic financial trading characterized by high speeds, high turnover rates, and high order-to-trade ratios that leverages high-frequency financial data and electronic trading tools. While there is no single definition of HFT, among its key attributes are highly sophisticated algorithms, co-location, and very short-term investment horizons. HFT can be viewed as a primary form of algorithmic trading in finance.Lin, Tom C. W. "The New Financial Industry" (March 30, 2014). 65 Alabama Law Review 567 (2014); Temple University Legal Studies Research Paper No. 2014-11; . Specifically, it is the use of sophisticated technological tools and computer algorithms to rapidly trade securities. HFT uses proprietary trading strategies carried out by computers to move in and out of positions in seconds or fractions of a second. In 2017, Aldridge and Krawciw estimated that in 2016 HFT on average initiated 10–40% of trading volume in equities, and 10 ...
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European Central Bank
The European Central Bank (ECB) is the prime component of the monetary Eurosystem and the European System of Central Banks (ESCB) as well as one of seven institutions of the European Union. It is one of the world's most important central banks. The ECB Governing Council makes the projects for the monetary policy for the European Union with suggestions and recommendations and to the Eurozone with more direct applications of such policies, it also administers the foreign exchange reserves of EU member states in the Eurozone, engages in foreign exchange operations, and defines the intermediate monetary aims and objectives, and also the common interest rates for the EU. The ECB Executive Board makes policies and decisions of the Governing Council, and may give direction to the national central banks, especially when doing so for the Eurozone central banks. The ECB has the exclusive right to authorise the issuance of euro banknotes. EU member states can issue their langu ...
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Algorithm
In mathematics and computer science, an algorithm () is a finite sequence of rigorous instructions, typically used to solve a class of specific problems or to perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can perform automated deductions (referred to as automated reasoning) and use mathematical and logical tests to divert the code execution through various routes (referred to as automated decision-making). Using human characteristics as descriptors of machines in metaphorical ways was already practiced by Alan Turing with terms such as "memory", "search" and "stimulus". In contrast, a heuristic is an approach to problem solving that may not be fully specified or may not guarantee correct or optimal results, especially in problem domains where there is no well-defined correct or optimal result. As an effective method, an algorithm can be expressed within a finite amount of space ...
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