Global Algorithmic Trading Market : Industry Analysis and Forecast (2019-2027) –by Component, Trading Type and Region.

Global Algorithmic Trading Market was valued at US$ XX Bn in 2019 and is expected to reach US$ XX Bn by 2027, at a CAGR of XX %during a forecast period. The report includes the analysis of impact of COVID-19 lock-down on the revenue of market leaders, followers, and disrupters. Since lock down was implemented differently in different regions and countries, impact of same is also different by regions and segments. The report has covered the current short term and long term impact on the market, same will help decision makers to prepare the outline for short term and long term strategies for companies by region. To know about the Research Methodology:-Request Free Sample Report The global algorithmic trading market has experienced extensive growth owing to a large number of financial companies that opt for growing automation of the negotiation processes. Integrated financial markets or an open market economy, for instance, the European Union help local sellers buy foreign assets with reduced risk. The contribution of numerous international markets has helped developing economies to create opportunities for portfolio diversification, global savings allocation and risk sharing. The cloud-based software segment is expected to rise the demand for cloud-based algorithmic trading software around the world. The technology is gaining popularity in capital markets owing to its flexibility, scalability, cost-effectiveness, and massive processing power. North America is expected to have a major market share in the algorithmic trade market followed by the Asia Pacific. The growth in this region is credited to the strong adoption and penetration of the algorithmic trading platform, software and hardware services, as well as end-user segments through the region. The developed and emerging markets have implemented this technology in the stock market. The Asia Pacific region is expected to experience lucrative growth owing to the increasing adoption of such software by economies such as India, Japan, Philippines and Singapore. Key players are focusing on developing new solutions and create effective marketing strategies for market surveillance and various companies use algorithmic trading to minimize their transaction cost and market risk. In Nov 2018, Virtu Financial, Inc. announced to acquire Investment Technology Group, Inc. valued at US$ 30.30 per ITG share. This major acquisition is expected to offer its clients a complete suite of agency services, with transparent trading and analytics, workflow technology, and liquidity solutions that all leverage Virtu’s global, scaled technology infrastructure. The objective of the report is to present a comprehensive assessment of the market and contains thoughtful insights, facts, historical data, industry-validated market data and projections with a suitable set of assumptions and methodology. The report also helps in understanding Global Algorithmic Trading Market dynamics, structure by identifying and analyzing the market segments and project the global market size. Further, the report also focuses on the competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence. The report also provides PEST analysis, PORTER’s analysis, SWOT analysis to address the question of shareholders to prioritizing the efforts and investment in the near future to the emerging segment in the Global Algorithmic Trading Market.

Scope of the Global Algorithmic Trading Market: Inquire before buying

Global Algorithmic Trading Market, By Component

• Software o Cloud-based  Public  Private o On-premise o Hybrid • Services o Managed/Outsourced o Professional

Global Algorithmic Trading Market, By Trading Type

• Forex • Stock Markets • Commodities • Bonds • Cryptocurrency

Global Algorithmic Trading Market, By Region

• North America • Europe • Asia Pacific • Middle East and Africa • South America

Key players operating in Global Algorithmic Trading Market

• AlgoTrader GmbH • Trading Technologies International, Inc. • InfoReach, Inc. • Tethys Technology, Inc. • Lime Brokerage LLC • FlexTrade Systems, Inc. • Tower Research Capital LLC • Virtu Financial • Hudson River Trading LLC • Citadel LLC • Technologies International, Inc. • Argo Software Engineering, Inc. • Automated Trading SoftTech Pvt. Ltd. • Kuberre Systems • MetaQuotes Software Corp. • Software AG • Thomson Reuters Corporation • uTrade • Vela Trading Systems LLC

Table of Content

1. Preface 1.1. Report Scope and Market Segmentation 1.2. Research Highlights 1.3. Research Objectives 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations 2.3. Research Methodology 2.3.1. Secondary Research 2.3.1.1. Secondary data 2.3.1.2. Secondary Sources 2.3.2. Primary Research 2.3.2.1. Data from Primary Sources 2.3.2.2. Breakdown of Primary Sources 3. Executive Summary : Global Algorithmic Trading Market Size, by Market Value (US$ Bn) 4. Market Overview 4.1. Introduction 4.2. Market Indicator 4.2.1. Drivers 4.2.2. Restraints 4.2.3. Opportunities 4.2.4. Challenges 4.3. Porter’s Analysis 4.4. Value Chain Analysis 4.5. Market Risk Analysis 4.6. SWOT Analysis 4.7. Industry Trends in Global Algorithmic Trading Market 4.8. Patent Registration 5. Supply Side and Demand Side Indicators 6. Global Algorithmic Trading Market Analysis and Forecast 6.1. Global Algorithmic Trading Market Size & Y-o-Y Growth Analysis 6.1.1. North America 6.1.2. Europe 6.1.3. Asia Pacific 6.1.4. Middle East & Africa 6.1.5. South America 7. Global Algorithmic Trading Market Analysis and Forecast, by Trading Type 7.1. Introduction and Definition 7.2. Key Findings 7.3. Global Algorithmic Trading Market Value Share Analysis, by Trading Type 7.4. Global Algorithmic Trading Market Size (US$ Bn) Forecast, by Trading Type 7.5. Global Algorithmic Trading Market Analysis, by Trading Type 7.6. Global Algorithmic Trading Market Attractiveness Analysis, by Trading Type 8. Global Algorithmic Trading Market Analysis and Forecast, by Component 8.1. Introduction and Definition 8.2. Key Findings 8.3. Global Algorithmic Trading Market Value Share Analysis, by Component 8.4. Global Algorithmic Trading Market Size (US$ Bn) Forecast, by Component 8.5. Global Algorithmic Trading Market Analysis, by Component 8.6. Global Algorithmic Trading Market Attractiveness Analysis, by Component 9. Global Algorithmic Trading Market Analysis, by Region 9.1. Global Algorithmic Trading Market Value Share Analysis, by Region 9.2. Global Algorithmic Trading Market Size (US$ Bn) Forecast, by Region 9.3. Global Algorithmic Trading Market Attractiveness Analysis, by Region 10. North America Algorithmic Trading Market Analysis 10.1. Key Findings 10.2. North America Algorithmic Trading Market Overview 10.3. North America Algorithmic Trading Market Value Share Analysis, by Trading Type 10.4. North America Algorithmic Trading Market Forecast, by Trading Type 10.4.1. Forex 10.4.2. Stock Markets 10.4.3. Commodities 10.4.4. Bonds 10.4.5. Cryptocurrency 10.5. North America Algorithmic Trading Market Value Share Analysis, by Component 10.6. North America Algorithmic Trading Market Forecast, by Component 10.6.1. Software 10.6.1.1. Cloud-based 10.6.1.1.1. Public 10.6.1.1.2. Private 10.6.1.2. On-premise 10.6.1.3. Hybrid 10.6.2. Services 10.6.2.1. Managed/Outsourced 10.6.2.2. Professional 10.7. North America Algorithmic Trading Market Value Share Analysis, by Country 10.8. North America Algorithmic Trading Market Forecast, by Country 10.8.1. U.S. 10.8.2. Canada 10.9. North America Algorithmic Trading Market Analysis, by Country 10.10. U.S. Algorithmic Trading Market Forecast, by Trading Type 10.10.1. Forex 10.10.2. Stock Markets 10.10.3. Commodities 10.10.4. Bonds 10.10.5. Cryptocurrency 10.11. U.S. Algorithmic Trading Market Forecast, by Component 10.11.1. Software 10.11.1.1. Cloud-based 10.11.1.1.1. Public 10.11.1.1.2. Private 10.11.1.2. On-premise 10.11.1.3. Hybrid 10.11.2. Services 10.11.2.1. Managed/Outsourced 10.11.2.2. Professional 10.12. Canada Algorithmic Trading Market Forecast, by Trading Type 10.12.1. Forex 10.12.2. Stock Markets 10.12.3. Commodities 10.12.4. Bonds 10.12.5. Cryptocurrency 10.13. Canada Algorithmic Trading Market Forecast, by Component 10.13.1. Software 10.13.1.1. Cloud-based 10.13.1.1.1. Public 10.13.1.1.2. Private 10.13.1.2. On-premise 10.13.1.3. Hybrid 10.13.2. Services 10.13.2.1. Managed/Outsourced 10.13.2.2. Professional 10.14. North America Algorithmic Trading Market Attractiveness Analysis 10.14.1. By Trading Type 10.14.2. By Component 10.15. PEST Analysis 10.16. Key Trends 10.17. Key Development 11. Europe Algorithmic Trading Market Analysis 11.1. Key Findings 11.2. Europe Algorithmic Trading Market Overview 11.3. Europe Algorithmic Trading Market Value Share Analysis, by Trading Type 11.4. Europe Algorithmic Trading Market Forecast, by Trading Type 11.4.1. Forex 11.4.2. Stock Markets 11.4.3. Commodities 11.4.4. Bonds 11.4.5. Cryptocurrency 11.5. Europe Algorithmic Trading Market Value Share Analysis, by Component 11.6. Europe Algorithmic Trading Market Forecast, by Component 11.6.1. Software 11.6.1.1. Cloud-based 11.6.1.1.1. Public 11.6.1.1.2. Private 11.6.1.2. On-premise 11.6.1.3. Hybrid 11.6.2. Services 11.6.2.1. Managed/Outsourced 11.6.2.2. Professional 11.7. Europe Algorithmic Trading Market Value Share Analysis, by Country 11.8. Europe Algorithmic Trading Market Forecast, by Country 11.8.1. Germany 11.8.2. U.K. 11.8.3. France 11.8.4. Italy 11.8.5. Spain 11.8.6. Rest of Europe 11.9. Europe Algorithmic Trading Market Analysis, by Country 11.10. Germany Algorithmic Trading Market Forecast, by Trading Type 11.10.1. Forex 11.10.2. Stock Markets 11.10.3. Commodities 11.10.4. Bonds 11.10.5. Cryptocurrency 11.11. Germany Algorithmic Trading Market Forecast, by Component 11.11.1. Software 11.11.1.1. Cloud-based 11.11.1.1.1. Public 11.11.1.1.2. Private 11.11.1.2. On-premise 11.11.1.3. Hybrid 11.11.2. Services 11.11.2.1. Managed/Outsourced 11.11.2.2. Professional 11.12. U.K. Algorithmic Trading Market Forecast, by Trading Type 11.12.1. Forex 11.12.2. Stock Markets 11.12.3. Commodities 11.12.4. Bonds 11.12.5. Cryptocurrency 11.13. U.K. Algorithmic Trading Market Forecast, by Component 11.13.1. Software 11.13.1.1. Cloud-based 11.13.1.1.1. Public 11.13.1.1.2. Private 11.13.1.2. On-premise 11.13.1.3. Hybrid 11.13.2. Services 11.13.2.1. Managed/Outsourced 11.13.2.2. Professional 11.14. France Algorithmic Trading Market Forecast, by Trading Type 11.14.1. Forex 11.14.2. Stock Markets 11.14.3. Commodities 11.14.4. Bonds 11.14.5. Cryptocurrency 11.15. France Algorithmic Trading Market Forecast, by Component 11.15.1. Software 11.15.1.1. Cloud-based 11.15.1.1.1. Public 11.15.1.1.2. Private 11.15.1.2. On-premise 11.15.1.3. Hybrid 11.15.2. Services 11.15.2.1. Managed/Outsourced 11.15.2.2. Professional 11.16. Italy Algorithmic Trading Market Forecast, by Trading Type 11.16.1. Forex 11.16.2. Stock Markets 11.16.3. Commodities 11.16.4. Bonds 11.16.5. Cryptocurrency 11.17. Italy Algorithmic Trading Market Forecast, by Component 11.17.1. Software 11.17.1.1. Cloud-based 11.17.1.1.1. Public 11.17.1.1.2. Private 11.17.1.2. On-premise 11.17.1.3. Hybrid 11.17.2. Services 11.17.2.1. Managed/Outsourced 11.17.2.2. Professional 11.18. Spain Algorithmic Trading Market Forecast, by Trading Type 11.18.1. Forex 11.18.2. Stock Markets 11.18.3. Commodities 11.18.4. Bonds 11.18.5. Cryptocurrency 11.19. Spain Algorithmic Trading Market Forecast, by Component 11.19.1. Software 11.19.1.1. Cloud-based 11.19.1.1.1. Public 11.19.1.1.2. Private 11.19.1.2. On-premise 11.19.1.3. Hybrid 11.19.2. Services 11.19.2.1. Managed/Outsourced 11.19.2.2. Professional 11.20. Rest of Europe Algorithmic Trading Market Forecast, by Trading Type 11.20.1. Forex 11.20.2. Stock Markets 11.20.3. Commodities 11.20.4. Bonds 11.20.5. Cryptocurrency 11.21. Rest of Europe Algorithmic Trading Market Forecast, by Component 11.21.1. Software 11.21.1.1. Cloud-based 11.21.1.1.1. Public 11.21.1.1.2. Private 11.21.1.2. On-premise 11.21.1.3. Hybrid 11.21.2. Services 11.21.2.1. Managed/Outsourced 11.21.2.2. Professional 11.22. Europe Algorithmic Trading Market Attractiveness Analysis 11.22.1. By Trading Type 11.22.2. By Component 11.23. PEST Analysis 11.24. Key Trend 11.25. Key Development 12. Asia Pacific Algorithmic Trading Market Analysis 12.1. Key Findings 12.2. Asia Pacific Algorithmic Trading Market Overview 12.3. Asia Pacific Algorithmic Trading Market Value Share Analysis, by Trading Type 12.4. Asia Pacific Algorithmic Trading Market Forecast, by Trading Type 12.4.1. Forex 12.4.2. Stock Markets 12.4.3. Commodities 12.4.4. Bonds 12.4.5. Cryptocurrency 12.5. Asia Pacific Algorithmic Trading Market Value Share Analysis, by Component 12.6. Asia Pacific Algorithmic Trading Market Forecast, by Component 12.6.1. Software 12.6.1.1. Cloud-based 12.6.1.1.1. Public 12.6.1.1.2. Private 12.6.1.2. On-premise 12.6.1.3. Hybrid 12.6.2. Services 12.6.2.1. Managed/Outsourced 12.6.2.2. Professional 12.7. Asia Pacific Algorithmic Trading Market Value Share Analysis, by Country 12.8. Asia Pacific Algorithmic Trading Market Forecast, by Country 12.8.1. China 12.8.2. India 12.8.3. Japan 12.8.4. ASEAN 12.8.5. Rest of Asia Pacific 12.9. Asia Pacific Algorithmic Trading Market Analysis, by Country 12.10. China Algorithmic Trading Market Forecast, by Trading Type 12.10.1. Forex 12.10.2. Stock Markets 12.10.3. Commodities 12.10.4. Bonds 12.10.5. Cryptocurrency 12.11. China Algorithmic Trading Market Forecast, by Component 12.11.1. Software 12.11.1.1. Cloud-based 12.11.1.1.1. Public 12.11.1.1.2. Private 12.11.1.2. On-premise 12.11.1.3. Hybrid 12.11.2. Services 12.11.2.1. Managed/Outsourced 12.11.2.2. Professional 12.12. India Algorithmic Trading Market Forecast, by Trading Type 12.12.1. Forex 12.12.2. Stock Markets 12.12.3. Commodities 12.12.4. Bonds 12.12.5. Cryptocurrency 12.13. India Algorithmic Trading Market Forecast, by Component 12.13.1. Software 12.13.1.1. Cloud-based 12.13.1.1.1. Public 12.13.1.1.2. Private 12.13.1.2. On-premise 12.13.1.3. Hybrid 12.13.2. Services 12.13.2.1. Managed/Outsourced 12.13.2.2. Professional 12.14. Japan Algorithmic Trading Market Forecast, by Trading Type 12.14.1. Forex 12.14.2. Stock Markets 12.14.3. Commodities 12.14.4. Bonds 12.14.5. Cryptocurrency 12.15. Japan Algorithmic Trading Market Forecast, by Component 12.15.1. Software 12.15.1.1. Cloud-based 12.15.1.1.1. Public 12.15.1.1.2. Private 12.15.1.2. On-premise 12.15.1.3. Hybrid 12.15.2. Services 12.15.2.1. Managed/Outsourced 12.15.2.2. Professional 12.16. ASEAN Algorithmic Trading Market Forecast, by Trading Type 12.16.1. Forex 12.16.2. Stock Markets 12.16.3. Commodities 12.16.4. Bonds 12.16.5. Cryptocurrency 12.17. ASEAN Algorithmic Trading Market Forecast, by Component 12.17.1. Software 12.17.1.1. Cloud-based 12.17.1.1.1. Public 12.17.1.1.2. Private 12.17.1.2. On-premise 12.17.1.3. Hybrid 12.17.2. Services 12.17.2.1. Managed/Outsourced 12.17.2.2. Professional 12.18. Rest of Asia Pacific Algorithmic Trading Market Forecast, by Trading Type 12.18.1. Forex 12.18.2. Stock Markets 12.18.3. Commodities 12.18.4. Bonds 12.18.5. Cryptocurrency 12.19. Rest of Asia Pacific Algorithmic Trading Market Forecast, by Component 12.19.1. Software 12.19.1.1. Cloud-based 12.19.1.1.1. Public 12.19.1.1.2. Private 12.19.1.2. On-premise 12.19.1.3. Hybrid 12.19.2. Services 12.19.2.1. Managed/Outsourced 12.19.2.2. Professional 12.20. Asia Pacific Algorithmic Trading Market Attractiveness Analysis 12.20.1. By Trading Type 12.20.2. By Component 12.21. PEST Analysis 12.22. Key Trend 12.23. Key Development 13. Middle East & Africa Algorithmic Trading Market Analysis 13.1. Key Findings 13.2. Middle East & Africa Algorithmic Trading Market Overview 13.3. Middle East & Africa Algorithmic Trading Market Value Share Analysis, by Trading Type 13.4. Middle East & Africa Algorithmic Trading Market Forecast, by Trading Type 13.4.1. Forex 13.4.2. Stock Markets 13.4.3. Commodities 13.4.4. Bonds 13.4.5. Cryptocurrency 13.5. Middle East & Africa Algorithmic Trading Market Value Share Analysis, by Component 13.6. Middle East & Africa Algorithmic Trading Market Forecast, by Component 13.6.1. Software 13.6.1.1. Cloud-based 13.6.1.1.1. Public 13.6.1.1.2. Private 13.6.1.2. On-premise 13.6.1.3. Hybrid 13.6.2. Services 13.6.2.1. Managed/Outsourced 13.6.2.2. Professional 13.7. Middle East & Africa Algorithmic Trading Market Value Share Analysis, by Country 13.8. Middle East & Africa Algorithmic Trading Market Forecast, by Country 13.8.1. GCC 13.8.2. South Africa 13.8.3. Rest of Middle East & Africa 13.9. Middle East & Africa Algorithmic Trading Market Analysis, by Country 13.10. GCC Algorithmic Trading Market Forecast, by Trading Type 13.10.1. Forex 13.10.2. Stock Markets 13.10.3. Commodities 13.10.4. Bonds 13.10.5. Cryptocurrency 13.11. GCC Algorithmic Trading Market Forecast, by Component 13.11.1. Software 13.11.1.1. Cloud-based 13.11.1.1.1. Public 13.11.1.1.2. Private 13.11.1.2. On-premise 13.11.1.3. Hybrid 13.11.2. Services 13.11.2.1. Managed/Outsourced 13.11.2.2. Professional 13.12. South Africa Algorithmic Trading Market Forecast, by Trading Type 13.12.1. Forex 13.12.2. Stock Markets 13.12.3. Commodities 13.12.4. Bonds 13.12.5. Cryptocurrency 13.13. South Africa Algorithmic Trading Market Forecast, by Component 13.13.1. Software 13.13.1.1. Cloud-based 13.13.1.1.1. Public 13.13.1.1.2. Private 13.13.1.2. On-premise 13.13.1.3. Hybrid 13.13.2. Services 13.13.2.1. Managed/Outsourced 13.13.2.2. Professional 13.14. Rest of Middle East & Africa Algorithmic Trading Market Forecast, by Trading Type 13.14.1. Forex 13.14.2. Stock Markets 13.14.3. Commodities 13.14.4. Bonds 13.14.5. Cryptocurrency 13.15. Rest of Middle East & Africa Algorithmic Trading Market Forecast, by Component 13.15.1. Software 13.15.1.1. Cloud-based 13.15.1.1.1. Public 13.15.1.1.2. Private 13.15.1.2. On-premise 13.15.1.3. Hybrid 13.15.2. Services 13.15.2.1. Managed/Outsourced 13.15.2.2. Professional 13.16. Middle East & Africa Algorithmic Trading Market Attractiveness Analysis 13.16.1. By Trading Type 13.16.2. By Component 13.17. PEST Analysis 13.18. Key Trend 13.19. Key Development 14. South America Algorithmic Trading Market Analysis 14.1. Key Findings 14.2. South America Algorithmic Trading Market Overview 14.3. South America Algorithmic Trading Market Value Share Analysis, by Trading Type 14.4. South America Algorithmic Trading Market Forecast, by Trading Type 14.4.1. Forex 14.4.2. Stock Markets 14.4.3. Commodities 14.4.4. Bonds 14.4.5. Cryptocurrency 14.5. South America Algorithmic Trading Market Value Share Analysis, by Component 14.6. South America Algorithmic Trading Market Forecast, by Component 14.6.1. Software 14.6.1.1. Cloud-based 14.6.1.1.1. Public 14.6.1.1.2. Private 14.6.1.2. On-premise 14.6.1.3. Hybrid 14.6.2. Services 14.6.2.1. Managed/Outsourced 14.6.2.2. Professional 14.7. South America Algorithmic Trading Market Value Share Analysis, by Country 14.8. South America Algorithmic Trading Market Forecast, by Country 14.8.1. Brazil 14.8.2. Mexico 14.8.3. Rest of South America 14.9. Brazil Algorithmic Trading Market Forecast, by Trading Type 14.9.1. Forex 14.9.2. Stock Markets 14.9.3. Commodities 14.9.4. Bonds 14.9.5. Cryptocurrency 14.10. Brazil Algorithmic Trading Market Forecast, by Component 14.10.1. Software 14.10.1.1. Cloud-based 14.10.1.1.1. Public 14.10.1.1.2. Private 14.10.1.2. On-premise 14.10.1.3. Hybrid 14.10.2. Services 14.10.2.1. Managed/Outsourced 14.10.2.2. Professional 14.11. Mexico Algorithmic Trading Market Forecast, by Trading Type 14.11.1. Forex 14.11.2. Stock Markets 14.11.3. Commodities 14.11.4. Bonds 14.11.5. Cryptocurrency 14.12. Mexico Algorithmic Trading Market Forecast, by Component 14.12.1. Software 14.12.1.1. Cloud-based 14.12.1.1.1. Public 14.12.1.1.2. Private 14.12.1.2. On-premise 14.12.1.3. Hybrid 14.12.2. Services 14.12.2.1. Managed/Outsourced 14.12.2.2. Professional 14.13. Rest of South America Algorithmic Trading Market Forecast, by Trading Type 14.13.1. Forex 14.13.2. Stock Markets 14.13.3. Commodities 14.13.4. Bonds 14.13.5. Cryptocurrency 14.14. Rest of South America Algorithmic Trading Market Forecast, by Component 14.14.1. Software 14.14.1.1. Cloud-based 14.14.1.1.1. Public 14.14.1.1.2. Private 14.14.1.2. On-premise 14.14.1.3. Hybrid 14.14.2. Services 14.14.2.1. Managed/Outsourced 14.14.2.2. Professional 14.15. South America Algorithmic Trading Market Attractiveness Analysis 14.15.1. By Trading Type 14.15.2. By Component 14.16. PEST Analysis 14.17. Key Trend 14.18. Key Development 15. Company Profiles 15.1. Market Share Analysis, by Company 15.2. Competition Matrix 15.2.1. Competitive Benchmarking of key players by price, presence, market share, Applications and R&D investment 15.2.2. New Product Launches and Product Enhancements 15.2.3. Market Consolidation 15.2.3.1. M&A by Regions, Investment and Applications 15.2.3.2. M&A Key Players, Forward Integration and Backward Integration 15.3. Company Profiles: Key Players 15.3.1. AlgoTrader GmbH 15.3.1.1. Company Overview 15.3.1.2. Financial Overview 15.3.1.3. Product Portfolio 15.3.1.4. Business Strategy 15.3.1.5. Recent Developments 15.3.1.6. Development Footprint 15.3.2. Trading Technologies International, Inc. 15.3.3. InfoReach, Inc. 15.3.4. Tethys Technology, Inc. 15.3.5. Lime Brokerage LLC 15.3.6. FlexTrade Systems, Inc. 15.3.7. Tower Research Capital LLC 15.3.8. Virtu Financial 15.3.9. Hudson River Trading LLC 15.3.10. Citadel LLC 15.3.11. Technologies International, Inc. 15.3.12. Argo Software Engineering, Inc. 15.3.13. Automated Trading SoftTech Pvt. Ltd. 15.3.14. Kuberre Systems 15.3.15. MetaQuotes Software Corp. 15.3.16. Software AG 15.3.17. Thomson Reuters Corporation 15.3.18. uTrade 15.3.19. Vela Trading Systems LLC 16. Primary Key Insights

About This Report

Report ID 29843
Category Information Technology & Telecommunication
Published Date May 2019
Updated Date Nov 2020
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