Legal Knowledge Management and the Rise of Artificial Intelligence
Robotic Refactoring the Workplace
Why Your Next Insurance Claims Processor Could be a Robot
The Forgotten Element in Your Big Data Strategy
"AI -The Future of Automotive Industry"
Nitin Sethi, Global IT Director - Business Transformation & Engagement, Visteon Corporation
WiFi Networks: Shifting from Providing a Service to Improving the...
Daniel J. Strojny, Interim Associate Director of Network and IT Operations, University of St. Thomas
Breaking the Stereotypes in the Development of AI
Yves Jacquier, Executive Director, Production Studio Services, Ubisoft
Operationalize Machine Learning
Zongjie Diao, Director of Product Strategy and Management, Data Center Compute Group, CISCO
Thank you for Subscribing to CIO Applications Weekly Brief
Leveraging Technology to Drive Efficient Foreign Exchange Trading
Foreign exchange trading is a volatile market as currencies keep changing values depending on the economic and political condition of the countries. Unlike other commodities, currencies gain or lose value in a very short span of time, which forex traders use to their advantage to earn a profit. In the current forex trading scenario, apart from maintaining the due diligence, traders need to gain a significant amount of experience before floating a large amount of money. However, Artificial Intelligence (AI) can offer a definitive edge to the traders in the world of forex trading. Many companies across industries have successfully implemented the technology tools to be a step ahead of their competition.
AI-based application or software helps the traders by using algorithms to make decisions. The tools and software analyses the wealth of information and other complex data to offer actionable insights into market trends and additional information with impeccable accuracy. The vast pipeline of trading data allows AI-tools to perform better than the human counterparts with its sheer efficiency and accuracy.
Machine Learning (ML) techniques ably aid the AI tools and software to update their algorithm based on previous results. This helps to improve the efficiency and accuracy of the programs as the tools do not stick with the pre-programmed algorithms. AI and ML-based tools assist beginner traders in making informed decisions about the trades.
Trading AI tools and software can be static or dynamic based on the programming. Static tools work well with a fixed set of market conditions as the algorithm cannot be customized once it is set. On the other hand, algorithms of dynamic AI can be changed based on market conditions, which makes it ideal to be used in currency trading. The only downside of dynamic trading is that it requires full-time coding based on the existing market conditions.
Forex trading offers an exceptional level of liquidity, which is driving the traders to invest in it. With the introduction of artificial intelligence, the currency market is expected to be opened up to a broad audience who are interested in trading.