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Examples of strategies used in algorithmic trading include systematic trading, market making, inter-market spreading, arbitrage, or pure speculation, such as trend following. Many fall into the category of high-frequency trading (HFT), which is characterized by high turnover and high order-to-trade ratios. [ 7 ]
To tackle these issues, FIX Protocol Limited established the Algorithmic Trading Working Group in Q3 2004. [1] The initial focus of the group was to solve the first of these issues, which it did by defining a new group of fields, the StrategyParametersGrp, made up of FIX tags 957 through 960 – these tags were formally introduced with the release of FIX 5.0 in Q4 2006.
EasyLanguage is a proprietary programming language that was developed by TradeStation and built into its electronic trading platform. [2] It is used to create custom indicators for financial charts and also to create algorithmic trading strategies for the markets.
The automated trading system determines whether an order should be submitted based on, for example, the current market price of an option and theoretical buy and sell prices. [7] The theoretical buy and sell prices are derived from, among other things, the current market price of the security underlying the option.
Systematic trading (also known as mechanical trading) is a way of defining trade goals, risk controls and rules that can make investment and trading decisions in a methodical way. [ 1 ] Systematic trading includes both manual trading of systems, and full or partial automation using computers.
The average quantitative strategy may take from 10 weeks to seven months to develop, code, test and launch. [6] It is important to note that alpha generation platforms differ from low latency algorithmic trading systems. Alpha generation platforms focus solely on quantitative investment research rather than the rapid trading of investments ...