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Many trading strategies rely on analyzing data derived from historical price data, volume, etc. Options traders often use the greeks which are provided by some market data platforms in conjunction with stock options data. There are also a wide variety of technical indicators which day traders may rely on as signals of future price movement.
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.
Instead, it identifies a trend early in the day and then trades automatically according to a predefined strategy, regardless of directional shifts. Trend following gained popularity among speculators, though remains reliant on manual human judgment to configure trading rules and entry/exit conditions.
The client is a Microsoft Windows-based application that became popular mainly due to the ability for end users to write their own trading scripts and robots that could automate trading. In 2010, MetaQuotes released a successor, MetaTrader 5.
Chart of the NASDAQ-100 between 1994 and 2004, including the dot-com bubble. Day trading is a form of speculation in securities in which a trader buys and sells a financial instrument within the same trading day, so that all positions are closed before the market closes for the trading day to avoid unmanageable risks and negative price gaps between one day's close and the next day's price at ...
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Forex autotrading is a slang term for algorithmic trading on the foreign exchange market, wherein trades are executed by a computer system based on a trading strategy implemented as a program run by the computer system.
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