Stream Preparation from Historical Data for High-Velocity Financial Applications

Event processing is playing a progressively more important part in building inventiveness in the application that can instantaneously answer to the business acute event. Several technologies have been anticipated in recent years, for example, event processing and data streams. Live Data Analysis [1] had bagged lots of investigation attention nowadays, and an ample range of novel techniques and applications have been evolved based on business needs. In financial data analysis [2] however, analysts still generally are dependent on statistical performance parameters blended with conventional line charts to facilitate the consideration of assets and to make decisions. For the evolution of better trading techniques, a live data or event stream is mandatory requirement asset which is highly costly. The proposed technique that creates a live stream of data from historical data sets eliminating the inadequacies, offering a complete ease of working with live streams. This technique can be further used for the creation of a new trend of data analysis [3] and visualization mechanisms [4, 5].