One of the paradoxes faced by quantitative researchers and traders is the granularity of data to use in the model back-testing phase. Putting aside using market depth data (order book Level 2, Level 3 data), the choice is in effect between bar data and tick data (trade, best bid/offer aka “BBO”). Bar data, is typically defined in terms of time duration, usually measured in minutes. The bar normally contains the open, high, low and closing (OHLC) quotes in the time period delineated by the bar. Traditionally, bar data has been used in preference to raw tick data because of much lower data density per time period, resulting in less storage and faster processing rates. Another benefit of bar data is that the regular and predictable nature of such data versus irregular (with respect to time) tick data means much simpler programming is required by the end user. However, inevitably, such benefits come at a cost of precision. For trading strategies generating signals infrequently, e.g. hourly or daily, there is minimum loss of precision. However, as signal generation increases in frequency, bars become less satisfactory for both signal generation and simulation of execution.
How then to combine the simplicity of bar data with the precision of tick data? Introducing “Enhanced Bars”.
Our researchers have designed a solution to this conundrum whereby we combine key statistics derived from the underlying tick data and extend the standard OHLC bars with additional attributes. (Hence, we use the term “extended bar” synonymously “enhanced bar”). For example, it is useful to know when the best bid and offer prices occur within the bar, and how many quotes are captured in the bar. Our enhanced bar is defined as (definition taken from our online documentation, Deltix Developer Network (DDN) at http://developer.deltixlab.com):
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For users of Deltix Cloud Services (DCS), you may download example strategies utilizing extended/enhanced bars at: http://dcs.developer.deltixlab.com/strategies/. DCS includes extended bar data at 10 second and 1 minute granularities.
The Deltix Quantitative Research Team
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