United States/WA: Global algorithmic trading market was valued at US$ 10,346.6 Mn in 2018 and is expected to exhibit a CAGR of 10.7% over the forecast period to reach US$ 25,257.0 Mn in 2027. Report Pages:[166 Pages] Algorithmic trading or automated trading is a way of conducting transactions using mechanical programmed trading rules based on […]
In-Depth Analysis of the Global Algorithmic Trading Market Trends
United States/WA: Global algorithmic trading market was valued at US$ 10,346.6 Mn in 2018 and is expected to exhibit a CAGR of 10.7% over the forecast period to reach US$ 25,257.0 Mn in 2027.
Report Pages:[166 Pages]
Algorithmic trading or automated trading is a way of conducting transactions using mechanical programmed trading rules based on historical data. This kind of trading tries to leverage both the speed and computing power of modern computers as compared to humans in terms of market conditions. In these systems uses mathematical algorithms which are programmed into their systems to perform calculations for them. The programs that are created are used to scan market data in order to find patterns in which to make a trading decision.
Market Dynamics
Launch of new platforms is expected to propel growth of the global algorithmic trading market. For instance, in November 2020, TomiEX announced the launch of its decentralized platform operating on the delegated Proof-of-Stake algorithm. The TomiEX exchange will feature postmining technology for its native TEX Coin and modern specifications that ensure a high quality of algorithmic trading for its users.
Adoption of AI in algorithmic trading is expected to offer lucrative growth opportunities for players in the global algorithmic trading market. For instance, in October 2020, RBC Capital Markets launched a new electronic trading platform using artificial intelligence technology, which was developed by its traders in partnership with AI scientists.
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Among regions, North America is expected to witness significant growth in the algorithmic trading market, owing to launch of new applications in the region. For instance, in May 2020, Streak, the strategy development and algorithmic trading provider for retail investors, launched its Streak application in the United States.
The algorithmic trading market in Asia Pacific is witnessing new regulations in algorithmic trading. For instance, in June 2020, Securities and Exchange Board of India, a market regulator in India, implemented new framework on order-to-trade ratio (OTR) of algorithmic trading orders placed by stock brokers.
Similarly, the algorithmic trading market in Europe is also witnessing new regulations in algorithmic trading. For instance, in June 2020, The FICC Markets Standards Board (FMSB) published a new Statement of Good Practice on Algorithmic Trading in FICC Markets as a transparency draft for market consultation.
Competitive Analysis
Major players operating in the global algorithmic trading market include, AlgoTrader GmbH, Trading Technologies International, Inc., Tethys Technology, Inc., Tower Research Capital LLC, Lime Brokerage LLC, InfoReach, Inc., FlexTrade Systems, Inc., Alphabot.ai, Hudson River Trading LLC, Citadel LLC, Streak, and Virtu Financial.
September 2020: Finway, a leading Financial Services Company in India, partnered with Alphabot.ai, a pioneer in algorithmic trading in India, to venture into the field of stock trading.
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Table of Contents
- Research Objective and Assumption
- Research Objectives
- Assumptions
- Abbreviations
- Market Purview
- Report Description
- Market Definition and Scope
- Executive Summary
- Market Snippet, By Function
- Market Snippet, By Application
- Market Snippet, By Region
- Coherent Opportunity Map (COM)
- Report Description
- Market Dynamics, Regulations, and Trends Analysis
- Market Dynamics
- Drivers
- Restraints
- Market Opportunities
- Regulatory Scenario
- Industry Trend
- Merger and Acquisitions
- New system Launch/Approvals
- Value Chain Analysis
- Porter’s Analysis
- PEST Analysis
- Market Dynamics
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