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Total Views: 55Word Count: 557See All articles From Author According to a new market research report published by Credence Research 鈥淎lgorithmic Trading Software Market (by Software: On-premise and Cloud; by Services: Managed and Professional; by Trading Type: Forex, Stock Market, Commodities Johnny Cueto Dominican Republic Jersey , Bonds and Cryptocurrency) - Growth, Future Prospects, and Competitive Landscape Bartolo Colon Dominican Republic Jersey , 2018-2026鈥? the algorithmic trading software market was valued US$ 11.67 Bn in 2017 and estimated to grow with a CAGR of 9.38% during the forecast period from 2018 to 2026.
The complete report is available at Market Insights
The success of majority investment streams are subjected to the time and other dynamic market factors and are taken through the lenses of experienced investors and market experts. It requires a lot of expertise to judge the situation of market to make the next move in investments. However, modern era of artificial intelligence and sophisticated algorithm has made the trade exchanges and investment easier than before. Algorithmic trading can simply be termed as the computer program that can make trades directly to the designated exchanges with any human intervention. It is one of the fastest growing innovation across financial market is readily accepted by majority of stock exchanges worldwide. Algorithmic trading provides exceptional speed, accuracy Alex Colome Dominican Republic Jersey , and liquidity and slowly sidetracking the traditional trading methods. Owing to these factors, algorithmic trading is ready to take on traditional methods and the market is projected to grow exponential in coming years.
Introduction of cloud services is revolutionizing the algorithmic and high-frequency trading (HFT). Capital market and financial institutions are making a shift from traditional algorithmic trading towards cloud-based algorithmic trading. Cloud services provide exceptional speed and performance at relatively low cost & infrastructure thus, becoming ace preference of trading firms. Few countries across the globe such as China have stringent regulation and norms responsible for creating barriers for algorithmic trading market. However Santiago Casilla Dominican Republic Jersey , other developing countries including India welcomed the technology with open arms. This proved to be a blessing for the market as more and more countries in Asia Pacific are getting encouraged to approve such methods. At present, North America region is known for its shift towards algorithmic trading and ranked as the