Albany, NY -- (SBWire) -- 12/06/2017 --Algorithmic trading (automated trading, black-box trading, or simply algo-trading) is the process of using computers programmed to follow a defined set of instructions for placing a trade in order to generate profits at a speed and frequency that is impossible for a human trader. The defined sets of rules are based on timing, price, quantity or any mathematical model. Apart from profit opportunities for the trader, algo-trading makes markets more liquid and makes trading more systematic by ruling out emotional human impacts on trading activities.
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.
Covered in this report
The report covers the present scenario and the growth prospects of the global algorithmic trading market for 2016-2020. To calculate the market size, Technavio considers the revenue generated from the total consumption of algorithmic trading globally.
Get the sample copy of this report : https://www.marketresearchreports.biz/sample/sample/741907
The market is divided into the following segments based on geography:
Americas
APAC
EMEA
Technavio's report, Global Algorithmic Trading Market 2016-2020, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.
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
Market driver
Increased integration of financial markets
For a full, detailed list, view our report
Send an enquiry here : https://www.marketresearchreports.biz/sample/enquiry/741907
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?
You can request one free hour of our analysts time when you purchase this market report. Details are provided within the report.
Algorithmic Trading Market Set to Surge 2020 with CAGR of 10.3%
The global algorithmic trading market to grow at a CAGR of 10.3% during the period 2016-2020.