Algorithmic Trading 2020 Global Market Key Players – DRW Trading, Virtu Financial, KCG, Flow Traders - Analysis and Forecast to 2026

Algorithmic Trading Market 2020

Algorithmic Trading follows a specific instructions program in a computer to place a trade to earn money at speed impossible for a human trader. The pre-programmed trading instructions have to do with timing, price, or quality. Algorithmic Trading follows a systematic pattern of trading and rules out the human impacts on trading activities. The time that is spent on monitoring the market is drastically reduced, and Algorithmic Trading allows engaging in other activities. 

Competitors:
The main players in the global Algorithmic Trading include –
DRW Trading, 
Virtu Financial, 
KCG, 
Flow Traders, 
Optiver, 
Tower Research Capital, 
Sun Trading, 
Jump Trading, 
Hudson River Trading, 
Spot Trading, 
RSJ Algorithmic Trading, 
Tradebot Systems, 
IMC, 
Quantilab Financial, 
Teza Technologies
 
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Algorithmic Trading has got enormous benefits. The earning is more as compared to manual trading. Algorithmic Trading can help the trader to gain more speed, accuracy, and less cost. The input- instructions can be executed automatically. The speed is so fast that a human can’t notice it. One can scan and execute multiple indicators at a very high speed that it becomes difficult to notice. This option helps the trader to analyze and execute faster which in turn increases better opportunities.

Careful backtesting allows traders to evaluate and execute a trading idea. Accuracy plays a vital role in Algorithmic Trading and is a key to better results. Human emotions play an important role in trading, but by using Algorithmic Trading, there is no scope for mistakes. Algorithmic Trading helps to earn more and reduce the risk of losing money.

The market of Algorithmic Trading is driven by the mass adoption of artificial intelligence in the financial sector. But strict regulatory norms affect the widespread use of Algorithmic Trading. Increasing demand from sectors like Deep Learning, Big Data Analytics, and others can create a scope for the market of algorithmic trading to expand. However, market growth can be threatened by hackers who can leak data, which can reveal a lot of personal information. Owing to this the market is increasingly adopting security measures to solidify the growth. 

Regional Analysis:
North America and Europe will show exponential growth over the years. Both regions have high expenditure capabilities. The region is expected to drive the market owing to a high rate of adoption of the latest technologies. The growth of Algorithmic Trading in North America is attributed to the strong adoption and penetration of the trading platform, software, and hardware services throughout the region.

In terms of region, the global Algorithmic Trading market shows excellent growth in Asia-Pacific (APAC). It can be anticipated that in years to come Asia-Pacific (APAC) will have huge growth by revamping its industries and adapting advanced technology which will take the market ahead. There will be a huge demand for Algorithmic Trading owing to the growing application of it in different market segments throughout the region.
In South America, the Middle East & Africa (MEA), the global Algorithmic Trading market is expected to grow at a rapid pace.
 
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