Doubts Related to the Algorithmic Trading Explained in the Report with Major Key Companies like Xilinx, AMD, Siemens AG, Accenture, and Infosys

Global algorithmic trading market was valued at US$ 10,346.6 Mn in 2018 and is expected to exhibit a CAGR of 10.7% over the forecast period to reach US$ 25,257.0 Mn in 2027.

Algorithmic Trading | Coherent Market Insights

Algorithmic trading, algo trading, automated trading, or black box trading is a technological advancement in the stock market. It is a programmed process that runs on a computer that follows a specific set of instructions (an algorithm) for placing a trade in order to generate profits at a speed and frequency that is impossible for human traders. Algorithmic trading is gaining significant traction which is useful for financial markets, and adopted in countries such as the U.S., India, the U.K., and South Korea. Accuracy, exceptional speed, and liquidity are unique features of algorithmic trading, which is expected to result in significant growth of the algorithmic trading market in the near future.

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In April 2018, BMO Capital Markets, the investment and corporate banking arm of BMO Financial Group, announced a multi-year strategic partnership with Clearpool Group, a provider of advanced electronic trading software. Under this agreement, Clearpool will provide BMO with a fully customizable algorithmic management system (AMS) infrastructure to execute Canada equities for BMO's institutional clients. Furthermore, several algorithmic trading solution providers in North America are focused on integrating Artificial Intelligence (AI) and Machine Learning (ML) functionalities with their existing algorithmic trading platforms.

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For instance, in May 2018, Bloomberg announced the launch of a new price forecasting application for investment professionals, which is powered by AI. The ‘Alpaca Forecast AI Prediction Matrix’ is an application (app), which provides short-term market price forecasts for major markets such as EUR/USD, AUD/JPY, USD/JPY, CME Nikkei 225 Futures Index, and US 10-year treasury bonds, using the Bloomberg’s Market Data Feed (B-PIPE). Such factors are expected to aid in growth of the algorithmic trading market in North America over the forecast period.

Moreover, in April 2016, the U.S. Securities and Exchange Commission (SEC) approved a rule proposed by the Financial Industry Regulatory Authority (FINRA) to reduce market manipulation that requires algorithmic trading developers to register as security traders.

Key Players in the Global Algorithmic Trading Market:

Some of the key players operating in the global algorithmic trading market include AlgoTrader GmbH, Trading Technologies International, Inc., Tethys Technology, Inc., Tower Research Capital LLC, Lime Brokerage LLC, InfoReach, Inc., FlexTrade Systems, Inc., Hudson River Trading LLC, Citadel LLC, and Virtu Financial.

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