JAKARTA - PT Distribusi Voucher Nusantara Tbk (DIVA), ‘digital business converter and accelerator ', together with PT Tetra Digital Investindo ("Tetra X Change") officially launched the SIVA Intelligent Instant Messaging (IM) service, which was made to provide solutions to help investors and traders make stock trading decisions based on Artificial Intelligent (AI) and Big Data.
Now investors and traders can easily get trading assistant services through SIVA Intelligent IM (Stock Info DIVA by ARVITA) by using ARVITA analysis techniques (Automated Respond by Virtual Technical Analyst) which become a tool to do by-pass skills and knowledge, as well as the time needed to do the stock analysis.
Raymond Loho, Director of DIVA said, "SIVA Intelligent IM was launched using the Intelligent IM DIVA platform which is supported by Artificial Intelligence (AI) technology. We provide personal assistant services through this IM platform, where users are facilitated in getting the stock analysis that we present with 'humanist' or with words that are in accordance with human language that is easier to understand. The launch of Intelligent IM SIVA certainly strengthens DIVA's service infrastructure and also facilitates and provides added value to the wider community in the field of trading and investment, especially for investors and traders in Indonesia. "
Some types of information offered by SIVA include the INVESTMENT FEASIBILITY menu for investors where users will be able to see EPS growth and stock trends based on the Monthly Chart. STOCK POTENTIAL menu for semi-investors where users can monitor all listed shares on the Indonesia Stock Exchange which are analyzed based on trends, market interest, targets and risk limits according to the Weekly Chart. TECHNICAL SHARE menu for traders where users can find out trends, market maker activities, target profit area and cut loss area. And the last is the CHART menu where users don't need to draw a line, looking for points of resistance support as a determinant of the area of supply and demand manually. All data related to shares will be presented periodically 2 times a day according to closing sessions 1 and 2 of the trading day. (LM)