Abstract: In accordance with some embodiments, the render rate is varied across and/or up and down the display screen. This may be done based on where the user is looking in order to reduce power consumption and/or increase performance. Specifically the screen display is separated into regions, such as quadrants. Each of these regions is rendered at a rate determined by at least one of what the user is currently looking at, what the user has looked at in the past and/or what it is predicted that the user will look at next. Areas of less focus may be rendered at a lower rate, reducing power consumption in some embodiments.

Abstract: A method for analyzing financial data generated in an exchange in communication with a client/server network. The method includes the steps of receiving a first set of data related to a financial instrument on the exchange, the first set of data being within a time interval and including: a high value for the financial instrument during the time interval; a low value for the financial instrument during the time interval; an opening value for the financial instrument during the time interval; and a closing value for the financial instrument during the time interval. The method also detects a spike in the time interval using a confidence value based upon the first set of data and displays a graph of a set of transactions of the financial instrument, the graph being scaled to prevent the spike from substantially affecting visual information relating to the set of transactions.

Abstract: The invention provides, among other things: methods, systems, machine readable programs and associated graphical user interfaces for identifying a financial instrument and a time interval associated therewith. The financial instrument has a first set of data associated therewith, which includes a plurality of values. The values may include a first value associated with a high value for the financial instrument during the time interval and a second value associated with a low value for the financial instrument during the time interval. The values may further include a third value associated with an opening value for the financial instrument during the time interval and a fourth value associated with a closing value for the financial instrument during the time interval. The time interval is then analyzed to determine if it includes a spike or other anomaly based upon the first set of data.