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Automated Algo Trading Market: Opportunity Analysis and Industry Forecast | Growing at a CAGR of 10.1% from 2022 to 2031.

Automated Algo Trading Market: Opportunity Analysis

Automated Algo Trading Market by Component (Solution, Service), by Deployment Mode (On-premises, Cloud), by Enterprise Size (Large Enterprises, Small and Medium-sized Enterprises (SMEs)), by Application (Trade Execution, Statistical Arbitrage, Liquidity Detection, Others), by Trading Type (Stock Markets, FOREX, ETF, Bonds, Cryptocurrencies, Others): Global Opportunity Analysis and Industry Forecast, 2021-2031

Report Sample PDF : https://www.alliedmarketresearch.com/request-sample/19888

The global automated algo trading market size was valued at $13.5 billion in 2021, and is projected to reach $35 billion by 2031, growing at a CAGR of 10.1% from 2022 to 2031.

Automated algo trading is a form of automation, which uses computer program to execute a defined set of instructions or rules that include the buying or selling of an asset in regard to the varying market data. The defined sets of instructions or rules are based on timing, quantity, price, or any mathematical model.

Top impacting factor

• Rise in demand for reliable, fast, and effective order execution

• Insufficient risk valuation capabilities

• The emergence of AI and algorithms in the financial services

The automated algo trading market is segmented on the basis of component, deployment mode, enterprise size, application, trading type, and region.

•By component, it is segmented into solution and services.

•By deployment mode, it is bifurcated into on-premises and cloud.

•Based on enterprise size, it is segregated into large enterprises, and small and medium-sized enterprises.

•Based on application, the automated algo trading market is segmented into trade execution, statistical arbitrage, liquidity detection, and others. The trade execution segment is further bifurcated into market maker, Over-the-Counter (OTC) market maker, and Electronic Communications Network (ECN).

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The market maker is further divided into agency trade and principal trades.

•Based on trading type, the automated algo trading market is segmented into stock markets, FOREX, ETF, bonds, cryptocurrencies, and others.

• By region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Key benefits for stakeholders

This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the automated algo trading market analysis from 2021 to 2031 to identify the prevailing automated algo trading market opportunity.
The market research is offered along with information related to key drivers, restraints, and opportunities.
Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
In-depth analysis of the automated algo trading market share segmentation assists to determine the prevailing market opportunities.
The report includes the analysis of the regional as well as global automated algo trading market trends, key players, market segments, application areas, and market growth strategies.

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Key Market Players:
63MOONS, AlgoTrader, Argo Software Engineering, Ava Trade Markets Ltd., India Algo, InfoReach, Inc., LEHNER INVESTMENTS, MetaQuotes Ltd, NinjaTrader, QuantConnect, Software AG, Symphony, Tethys Technology, VIRTU Financial Inc., Tata Consultancy Services Limited, Next Algo, Myalgomate Technologies LLP

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Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Allied Market Research CEO Pawan Kumar is instrumental in inspiring and encouraging everyone associated with the company to maintain high quality of data and help clients in every way possible to achieve success. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

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