The Algorithmic Trading Market is expected to witness a CAGR of 11% over the forecast period (2021-2027).

Algorithmic trading is a methodological process that executes pre-programmed, automated trading instructions and evaluates variables such as volume, price, and time. Facilitate trading decisions in the financial sector with advanced mathematical tools. It is used to benefit traders with data processing speed over traditional human traders. Algorithmic trading uses complex formulas combined with mathematical models and human oversight to make decisions to buy or sell financial securities on an exchange. Algorithmic traders often use high-frequency trading techniques that allow companies to make tens of thousands of trades per second.





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Company Profile

Virtu Financial
Software AG
Refinitiv Ltd.
MetaQuotes Software Corp.
Symphony Fintech Solutions Pvt Ltd.
Argo SE,
Tata Consultancy Services


Market Segmentation

By Type

Stock Markets
FOREX
ETF
Bonds
Cryptocurrencies
Others
By Deployment Mode

Cloud
On-Premise
By Type Of Traders

Institutional Investors
Long-Term Traders
Short-Term Traders
Retail Investors

Scope of the Report

The research study analyzes the global Algorithmic Trading industry from 360-degree analysis of the market thoroughly delivering insights into the market for better business decisions, considering multiple aspects some of which are listed below as:

Recent Developments

o Market Overview and growth analysis
o Import and Export Overview
o Volume Analysis
o Current Market Trends and Future Outlook
o Market Opportunistic and Attractive Investment Segment

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Geographic Coverage

o North America Market Size and/or Volume
o Latin America Market Size and/or Volume
o Europe Market Size and/or Volume
o Asia-Pacific Market Size and/or Volume
o Rest of the world Market Size and/or Volume

Key Questions Answered by Algorithmic Trading Market Report

1. What was the Algorithmic Trading Market size in 2019 and 2020; what are the estimated growth trends and market forecast (2021-2027).

2. What will be the CAGR of Algorithmic Trading Market during the forecast period (2021-2027)?
3. Which segments (product type/applications/end-user) were most attractive for investments in 2021? How these segments are expected to grow during the forecast period (2021-2027).
4. Which manufacturer/vendor/players in the Algorithmic Trading Market was the market leader in 2020?
5. Overview on the existing product portfolio, products in the pipeline, and strategic initiatives taken by key vendors in the market.



The report covers the following objectives:

• Proliferation and maturation of trade in the global Algorithmic Trading market.

• The market share of the global Algorithmic Trading market, supply and demand ratio, growth revenue, supply chain analysis, and business overview.

• Current and future market trends that are influencing the growth opportunities and growth rate of the global Algorithmic Trading market.

• Feasibility study, new market insights, company profiles, investment return, revenue (value), and consumption (volume) of the global Algorithmic Trading market.


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