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Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. [1] This type of trading attempts to leverage the speed and computational resources of computers relative to human traders.
Trend following [10] Trend following is a trading strategy that bases buying and selling decisions on observable market trends. For years, various forms of trend following have emerged, like the Turtle Trader software program. Unlike financial forecasting, this strategy does not predict market movements. Instead, it identifies a trend early in ...
Having access to the accurate current price of a security is central to day trading. A day trader needs to know the prices of the stocks, futures, or currencies that they want to trade. In the case of stocks and futures, those prices come from the exchange where they are traded. Forex is a little different as there is no central exchange.
Bloomberg Tradebook was founded in 1996 by Kevin Foley as an electronic communication network (ECN) and an alternative trading system (ATS) for U.S. equities. [3] In 1999 Tradebook began offering electronic trading for Asian equity markets and in 2000 the European equity markets became available.
The trading mechanism on electronic exchanges is an important component that has a great impact on the efficiency and liquidity of financial markets. The choice of matching algorithm is an important part of the trading mechanism. The most common matching algorithms are the Pro-Rata and Price/Time algorithms.
A stock market simulator is computer software that reproduces behavior and features of a stock market, so that a user may practice trading stocks without financial risk. Paper trading , sometimes also called "virtual stock trading", is a simulated trading process in which would-be investors can practice investing without committing money.
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