The global algorithmic trading market is estimated to be valued over USD Algorithm Trading million by 2025. It also accounts for variables such as price, time, and volume in order to send small slices of the order out to the market over time. From the past several years, algorithm trading has been gaining traction in both institution and retail traders. Popular platforms for algorithmic trading include Quantopian, IQBroker, NinjaTrader and MetaTrader.
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The Top Key Players include: InfoReach, Inc., Tethys Technology, Inc., FlexTrade Systems, Inc., Tower Research Capital LLC, Lime Brokerage LLC, Hudson River Trading LLC, Citadel LLC, AlgoTrader GmbH, Virtu Financial, TABB Group, LLC, Trading Technologies International, Inc among others.
Algorithmic trading is not an attempt to create trading profit, but it is simply a way to minimize the market impact, cost, and risk in implementation of an order. It is broadly used by hedge funds, mutual funds, pension funds and investment banks, as these institutional traders need to execute large orders in market at a same instance. The algorithmic trading market has experienced substantial growth rate owing to growing automation process in trading by large number of organizations. Integrated financial markets assist the local retailers into buying foreign assets with reduced risks.
One of the major reasons that makes algorithmic trading so popular is owing to the advantages that it holds over trading manually. The advantages of algorithmic trading are associated to reduced costs, accuracy and speed. As algorithms are written before and are implemented automatically, the chief advantage is speed. Trading with algorithms has the advantage of scanning and executing on multiple indicators at a speed that no human could do. Since trades can be executed and analyzed faster, more opportunities are available at better prices thus, is expected to propel growth of this market.
North America is the important regions in algorithm trading market which is expected to gain highest revenue globally, owing to technological advancement and substantial application of algorithm trading in diverse end-user segment such as equities market, commodities market, forex market, funds market and others. In addition, Asia-Pacific rapidly growing economy with noteworthy growth in construction sector is expected to propel the growth for algorithm trading market. The Asia-Pacific region is expected to lead the market throughout the forecast period.
Global Algorithm Trading Market Key Segments:
End-user Overview, 2015 – 2025 (Revenue)
- Equities Market
- Commodities Market
- FOREX Market
- Funds Market
o Mutual Funds Market
o Pension Funds Market
o Hedge Funds Market
Function Overview, 2015 – 2025 (Revenue)
- Programming Market
- Debugging Market
- Data Extraction Market
- Back-Testing & Optimization Market
- Risk Management Market
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Major questions address through this analytical research report:
- What are the major challenges as well as restraints in front of the global market?
- What is the size of the global Algorithm Trading market?
- What are the influencing factors on global Algorithm Trading market growth?
- What are the major key players of the global Algorithm Trading market?
- Which factors are fueling the global market growth?
- What are the key outcomes of industry analysis techniques such as SWOT and Porter’s five techniques?
This is a professional and in-depth research report aimed at providing the world’s major regional market conditions of the industry, covering main regions and the main countries such as North America, Europe, China, Japan, Southeast Asia, India.
Table of Contents
Global Algorithm Trading Market Research Report
Chapter 1 Global Algorithm Trading Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export
Chapter 6 Production, Revenue (Value), Price Trend by Type
Chapter 7 Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Market Forecast
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