Algorithmic Trading is developed for those institutional clients who needs to trade on large amounts of stocks. These stocks are sent to the market by using automated programmed tool. Then these large amount of orders split into smaller orders and will be executed electronically in minutes, hours, and day. Main goal of using Algorithmic trading is to cut down the average cost and not to make profit out of it, which in return helps in investing money with low risk and also, saves money and due to which it is driving the growth of Algorithmic trading market.
Whereas, when an Algorithmic is selected, there is a compulsion to execute small orders electronically. Another reason, it requires people with technical knowledge in this to deal with all Algorithmics which are not universal. Apart from this, in trading every second there is a fluctuation that means speed matters a lot and Algorithmics match up with the speed to execute orders and provide best deal to traders and this factor will bring new opportunities in the market in coming years.
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The “Global Algorithmic Trading Market Analysis to 2025” is a specialized and in-depth study of the Trading industry with a focus on the global market trend. The report aims to provide an overview of global Algorithmic Trading market with detailed market segmentation by functions, application and geography. The global Algorithmic Trading market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading market players and offers key trends and opportunities in the market.
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global Algorithmic Trading market based functions and application. It also provides market size and forecast till 2025 for overall Algorithmic Trading market with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM). The market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 16 counties globally along with current trend and opportunities prevailing in the region.
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Besides this, the report analyzes factors affecting market from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South America after evaluating political, economic, social and technological factors effecting the market in these regions. Also, key Algorithmic Trading market players influencing the market are profiled in the study along with their SWOT analysis and market strategies. The report also focuses on leading industry players with information such as company profiles, products and services offered, financial information of last 3 years, key development in past five years. Some of the key players influencing the market are 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 and Citadel LLC among others.
Major Points from Table of Contents
3 Algorithmic Trading Market Landscape
3.1 Market Overview
3.2 Market Segmentation
3.2.1 Algorithmic Trading Market – By Functions
3.2.2 Algorithmic Trading Market – By Application
3.2.3 Algorithmic Trading Market – By Region
188.8.131.52 By Countries
3.3 PEST Analysis
3.3.1 North America – PEST Analysis
3.3.2 Europe – PEST Analysis
3.3.3 Asia Pacific – PEST Analysis
3.3.4 Middle East and Africa – PEST Analysis
3.3.5 South America – PEST Analysis
4 Algorithmic Trading Market – Key Industry Dynamics
4.1 Key Market Drivers
4.2 Key Market Restraints
4.3 Key Market Opportunities
4.4 Future Trends
4.5 Impact Analysis
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6 Algorithmic Trading Market Revenue and Forecasts to 2025 – Functions (Qualitative Insights)
6.2 Functions Market Analysis
6.3 Programming Market
6.3.2 Programming Market Analysis
6.4 Debugging Market
6.4.2 Debugging Market Analysis
6.5 Data Extraction Market
6.5.2 Data Extraction Market Analysis
6.6 Back-Testing & Optimization Market
6.6.2 Back-Testing & Optimization Market Analysis
6.7 Risk Management Market
6.7.2 Risk Management Market Analysis
7 Algorithmic Trading Market Revenue and Forecasts to 2025 – Application
7.2 Application Market Forecasts and Analysis
7.3 Equities Market
7.3.2 Equities Market Forecasts and Analysis
7.4 Commodities Market
7.4.2 Commodities Market Forecasts and Analysis
7.5 FOREX Market
7.5.2 FOREX Market Forecasts and Analysis
7.6 Funds Market
7.6.2 Funds Market Forecasts and Analysis
7.6.3 Mutual Funds Market
184.108.40.206 Mutual Funds Market Forecasts and Analysis
7.6.4 Pension Funds Market
220.127.116.11 Pension Funds Market Forecasts and Analysis
7.6.5 Hedge Funds Market
18.104.22.168 Hedge Funds Market Forecasts and Analysis
7.7 Others Market
7.7.2 Others Market Forecasts and Analysis
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11 Algorithmic Trading Market, Key Company Profiles – Key Facts, Business Description, Company Size and Services, Financial Overview, SWOT Analysis and Key Developments
11.1 AlgoTrader GmbH
11.2 Trading Technologies International, Inc.
11.3 InfoReach, Inc.
11.4 Tethys Technology, Inc.
11.5 Lime Brokerage LLC
11.6 FlexTrade Systems, Inc.
11.7 Tower Research Capital LLC
11.8 Virtu Financial
11.9 Hudson River Trading LLC
11.10 Citadel LLC
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