Quote Stuffing
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Quote Stuffing
In finance, quote stuffing refers to a form of market manipulation employed by high-frequency traders (HFT) that involves quickly entering and withdrawing a large number of orders in an attempt to flood the market. This can create confusion in the market and trading opportunities for high-speed algorithmic traders. The term is relatively new to the financial market lexicon and was coined by Nanex in studies on HFT behavior during the 2010 Flash Crash. By quote stuffing, trading systems delay price quotes while the stuffing is occurring, simply by placing and canceling orders at a rate that substantially surpasses the bandwidth of market data feed lines. The orders pile up in buffers, and the delay (increased latency) lasts until the buffer drains. Trading systems slow down a direct exchange feed whenever they want, and the phantom orders do not need to be in a particular stock; they can be in any of the securities that cohabit the particular price (market data) feed. For exampl ...
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Market Manipulation
In economics and finance, market manipulation is a type of market abuse where there is a deliberate attempt to interfere with the free and fair operation of the market; the most blatant of cases involve creating false or misleading appearances with respect to the price of, or market for, a product, security or commodity. Market manipulation is prohibited in most countries, in particular, it is prohibited in the United States under Section 9(a)(2) of the Securities Exchange Act of 1934, in the European Union under Article 12 of the ''Market Abuse Regulation'', in Australia under Section 1041A of the Corporations Act 2001, and in Israel under Section 54(a) of the securities act of 1968. In the US, market manipulation is also prohibited for wholesale electricity markets under Section 222 of the Federal Power Act and wholesale natural gas markets under Section 4A of the Natural Gas Act. The US Securities Exchange Act defines market manipulation as "transactions which create an ...
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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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Denial Of Service
In computing, a denial-of-service attack (DoS attack) is a cyber-attack in which the perpetrator seeks to make a machine or network resource unavailable to its intended users by temporarily or indefinitely disrupting services of a host connected to a network. Denial of service is typically accomplished by flooding the targeted machine or resource with superfluous requests in an attempt to overload systems and prevent some or all legitimate requests from being fulfilled. In a distributed denial-of-service attack (DDoS attack), the incoming traffic flooding the victim originates from many different sources. More sophisticated strategies are required to mitigate this type of attack, as simply attempting to block a single source is insufficient because there are multiple sources. A DoS or DDoS attack is analogous to a group of people crowding the entry door of a shop, making it hard for legitimate customers to enter, thus disrupting trade. Criminal perpetrators of DoS attacks of ...
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Software Bug
A software bug is an error, flaw or fault in the design, development, or operation of computer software that causes it to produce an incorrect or unexpected result, or to behave in unintended ways. The process of finding and correcting bugs is termed "debugging" and often uses formal techniques or tools to pinpoint bugs. Since the 1950s, some computer systems have been designed to deter, detect or auto-correct various computer bugs during operations. Bugs in software can arise from mistakes and errors made in interpreting and extracting users' requirements, planning a program's design, writing its source code, and from interaction with humans, hardware and programs, such as operating systems or libraries. A program with many, or serious, bugs is often described as ''buggy''. Bugs can trigger errors that may have ripple effects. The effects of bugs may be subtle, such as unintended text formatting, through to more obvious effects such as causing a program to crash, freezing th ...
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Market Manipulation
In economics and finance, market manipulation is a type of market abuse where there is a deliberate attempt to interfere with the free and fair operation of the market; the most blatant of cases involve creating false or misleading appearances with respect to the price of, or market for, a product, security or commodity. Market manipulation is prohibited in most countries, in particular, it is prohibited in the United States under Section 9(a)(2) of the Securities Exchange Act of 1934, in the European Union under Article 12 of the ''Market Abuse Regulation'', in Australia under Section 1041A of the Corporations Act 2001, and in Israel under Section 54(a) of the securities act of 1968. In the US, market manipulation is also prohibited for wholesale electricity markets under Section 222 of the Federal Power Act and wholesale natural gas markets under Section 4A of the Natural Gas Act. The US Securities Exchange Act defines market manipulation as "transactions which create an ...
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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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Feedback Loop
Feedback occurs when outputs of a system are routed back as inputs as part of a chain of cause-and-effect that forms a circuit or loop. The system can then be said to ''feed back'' into itself. The notion of cause-and-effect has to be handled carefully when applied to feedback systems: History Self-regulating mechanisms have existed since antiquity, and the idea of feedback had started to enter economic theory in Britain by the 18th century, but it was not at that time recognized as a universal abstraction and so did not have a name. The first ever known artificial feedback device was a float valve, for maintaining water at a constant level, invented in 270 BC in Alexandria, Egypt. This device illustrated the principle of feedback: a low water level opens the valve, the rising water then provides feedback into the system, closing the valve when the required level is reached. This then reoccurs in a circular fashion as the water level fluctuates. Centrifugal governors were ...
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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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Investors
An investor is a person who allocates financial capital with the expectation of a future return (profit) or to gain an advantage (interest). Through this allocated capital most of the time the investor purchases some species of property. Types of investments include equity, debt, securities, real estate, infrastructure, currency, commodity, token, derivatives such as put and call options, futures, forwards, etc. This definition makes no distinction between the investors in the primary and secondary markets. That is, someone who provides a business with capital and someone who buys a stock are both investors. An investor who owns stock is a shareholder. Types of investors There are two types of investors: retail investors and institutional investors. Retail investor * Individual investors (including trusts on behalf of individuals, and umbrella companies formed by two or more to pool investment funds) * Angel investors (individuals and groups) * Sweat equity investor In ...
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Feedback Loops
Feedback occurs when outputs of a system are routed back as inputs as part of a chain of cause-and-effect that forms a circuit or loop. The system can then be said to ''feed back'' into itself. The notion of cause-and-effect has to be handled carefully when applied to feedback systems: History Self-regulating mechanisms have existed since antiquity, and the idea of feedback had started to enter economic theory in Britain by the 18th century, but it was not at that time recognized as a universal abstraction and so did not have a name. The first ever known artificial feedback device was a float valve, for maintaining water at a constant level, invented in 270 BC in Alexandria, Egypt. This device illustrated the principle of feedback: a low water level opens the valve, the rising water then provides feedback into the system, closing the valve when the required level is reached. This then reoccurs in a circular fashion as the water level fluctuates. Centrifugal governors were ...
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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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