lgorithmic Trading Market 2025A - Global Analysis and Forecasts by Functions (Programming, Debugging, Data Extraction, Back-Testing & Optimization and Risk Management); and Application (Equities, Commodities, FOREX, Funds and Others)
Algorithmic trading market is expected to grow US$ 18,160.8 Mn by 2025 from US$ 8,790.7 Mn in 2016. Algorithm trading is also well known as black-box trading or automated trading. It is basically a process that makes use of computer languages for placing a trade in order by following a particular set of instructions that enables the human traders to generate profits efficiently and effectively.
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Key trend which will predominantly effect the market in coming year integration of artificial intelligence capabilities with the current algorithm. Companies are working on customized chips integrated with algorithm trading strategies which enables robots to handle real-time interpretation and integration of data from many different sources. Current algorithm trading strategies enables software programs to perform trading operations based on pre-defined instructions set by the programmer with no means in altering decisions based on dynamic market conditions. With machine learning capabilities integrated into trading software platforms with advanced algorithms, software programs are expected to gain