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Report analytics

Report analytics are the foundation of any report a user wishes to produce. A report analytic produces a dataset in table format for the doc generator to use.

The report generator allows only one report analytic to run on a target engine at any time, so all the information in the final report must be contained in the output of a single report analytic.

Use environmental variables

As with all analytics, the report analytic can have up to 8 parameters. When running the report, the end user has to set each of these parameters, so using environmental variables as defaults for file paths is advisable.

Define parameter types

Kdb+ tables can contain nulls, but errors are frequently produced in resulting CSVs and PDFs if columns have empty null types. Ensure the parameter type is defined when writing the analytic.

Below are two example report analytics:

Daily taker

This report provides a summary of daily FX volumes by individual client taker. Daily trade information is summarized in the following fields:

Average spreads for the major currency pairs
These spreads are specific to a given taker and represent an average of the best bid-ask spread over a given day
Number of Requests
Total number of requests a taker produces
Straight-through processing & warehousing volumes
The volume of trades that are hedged (warehoused) or offset (straight through processed) is calculated and displayed in terms of its USD equivalent
Fill rates
The Ack:Nack ratio is summarized in the fillPrcnt field, with the number of Acks in a given day given as a percentage of total requests
One and five day
∆s are produced to compare fill rate changes over time

The target engine is set to BI HDB for the Daily Taker report.

Syntax: dfRpt_DailyTaker[Date]

where Date is either an absolute date (e.g. 2018.01.30) or a relational date, e.g. yesterday, returns Daily Taker data in table format.

Relational dates

Relational dates are particularly valuable when defining scheduled reports. The following relational dates are valid: today, startofweek, endofweek, startofmonth, endofmonth, startofyear and endofyear.

Daily capacity

This report summarizes daily quote requests for both pool and LP quotes, by source. Volume per source is also shown as a percentage of total quote volume for the pool and LP quotes on the chosen date.

Two rows at the top of the report summarize daily data capacity statistics so the user can see how close they are running to the 2 billion limit on both LP and pool quotes.

Syntax: dfRpt_DailyCapacity[Date]

where Date is either an absolute date (e.g. 2018.01.30) or a relational date, e.g. yesterday, returns Daily Capacity data in table format.

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