Algorithmic Trading Market Report, by Function (Programming, Debugging, Data Extraction, Back-Testing & Optimization, and Risk Management), by Application (Equities, Forex, Commodities, Funds, Others (Insurance, etc.)), and by Region (North America, Europe, Asia Pacific, Latin America, Middle East, and Africa) - Size, Share, Outlook, and Opportunity Analysis, 2022 - 2028
Algorithmic trading, also termed as algo trading, is a method that uses computer programs and software to execute various trades with minimal human intervention. It has gained significant traction in the financial industry as it allows investment managers to be in full control of their trading process with reduced transactional costs. High frequency trading (HFT), which involves selling and buying of shares (mostly in thousands) in seconds, is one of the most popular methods in algo trading. The computer-programmed trading follows a defined set of rules for trading. The technology incorporates human as well as artificial intelligence, which enables higher accuracy and reliability among users.
Rising number of financial organizations and investors opting for automation of trading processes is one of the major factors driving adoption of algo trading in the market. For instance, in April 2021, SEBI announced plans to make algorithmic trading more accessible for investors. According to Coherent Market Insights, in 2021, in India, algorithmic trading gained popularity among institutional investors, investment banks, hedge funds, and accounted for 35-40% of the turnover on exchange from the aforementioned factors. Moreover, economies such as India, South Korea, and others, are focused on expanding their presence in the global market with a diverse portfolio of products. This is turn is expected to drive demand for algo trading process over the forecast period.
Key features of the study:
This report provides in-depth analysis of algorithmic trading market size (US$ Million), and Compound Annual Growth Rate (CAGR %) for the forecast period (2022 - 2028), considering 2021 as the base year
It elucidates potential revenue opportunity across different segments and explains attractive investment proposition matrix for this market
This study also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, regional outlook, and competitive strategy adopted by leading players
It profiles leading players in the global algorithmic trading market based on the following parameters – company overview, financial performance, product portfolio, geographical presence, algorithmic trading market capital, key developments, strategies, and future plans
Companies covered as part of this study 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
Insights from this report would allow marketers and management authorities of companies to make informed decision regarding future product launches, product upgrades, market expansion, and marketing tactics
The global algorithmic trading market report caters to various stakeholders in this industry including investors, suppliers, manufacturers, distributors, new entrants, and financial analysts
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global algorithmic trading market
Global Algorithmic Trading Market, By Function:
Back-Testing & Optimization
Global Algorithmic Trading Market, By Application:
Others (Insurance, etc.)
Global Algorithmic Trading Market, By Region:
Rest of Europe
Rest of Asia Pacific
Rest of Latin America
Rest of Middle East
Recent Developments/ Updates
Trading Technologies International, Inc.
Tethys Technology, Inc.
Tower Research Capital LLC
Lime Brokerage LLC
FlexTrade Systems, Inc.
Hudson River Trading LLC
“*” marked represents similar segmentation in other categories in the respective section.
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