Global Algorithmic Trading Market 2016-2020 is the latest addition to Sandlerresearch.org industry research reports collection.
Modern financial markets use advanced mathematical models to arrive at (and execute) transaction decisions. Such automated technologies are referred to as high-speed algorithmic trading. These methods determine the optimal time for an order to be placed so as to generate the least impact on stock prices. Large institutional investors use algorithmic trading technologies to buy and sell large blocks of shares in small tranches every day. These technologies allow users to use the best possible pricing without any significant impact on purchasing costs.

The analysts forecast Global Algorithmic Trading Market to grow at a CAGR of 10.3% during the period 2016-2020.

Covered in this Report
This report covers the present scenario and the growth prospects of the global Algorithmic Trading market for 2016-2020.

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Key regions
• Americas
• APAC
• EMEA

Key vendors
• Citadel
• KCG
• Optiver US
• Tower Research Capital
• Two Sigma Investments

Other prominent vendors
• DRW Trading
• Flow Traders
• Hudson River Trading
• Jump Trading
• RSJ Algorithmic Trading
• Spot Trading
• Sun Trading
• Tradebot Systems
• Virtu Financial

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Market driver
• Increased integration of financial markets
• For a full, detailed list, view our report

Market challenge
• Insufficient risk valuation capabilities, limited legal certainty, and operational inefficiencies
• For a full, detailed list, view our report

Market trend
• Portfolio risk solutions
• For a full, detailed list, view our report

Key Questions Answered in this Report
• What will the market size be in 2020 and what will the growth rate be?
• What are the key market trends?
• What is driving this market?
• What are the challenges to market growth?
• Who are the key vendors in this market space?
• What are the market opportunities and threats faced by the key vendors?
• What are the strengths and weaknesses of the key vendors?

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