Displaying 1 to 6 from 6 results

calculate-all - calculate_all method for aggregate functions in Active Record

  •    Ruby

Provides #calculate_all method on your Active Record models, scopes and relations. It's a little addition to Active Record's #count, #maximum, #minimum, #average and #sum. It allows to fetch all of the above and any other aggregate functions results in one request, with respect to grouping. Tested only with Postgres and MySQL only right now. It relies on automatic values type-casting of underlying driver.

statsjs - Provides functions for many of the statistical operations that you might need

  •    Javascript

Provides functions for many of the statistical operations that you might need. It also supports many of the functions on the data set that you'd expect from Underscore, such as pluck, map, and each.

node-stats-lite - A light statistical package that operates on Arrays.

  •    Javascript

A fairly light statistical package. Works with numeric arrays, and will automatically filter out non-numeric values and attempt to convert string numeric values. All of the exported functions take vals which is an array of numeric values. Non-numeric values will be removed, and string numbers will be converted to Numbers.

Median-and-Turbo-Renko-indicator-bundle - MQL5 header file for 'Median and Turbo renko indicator bundle' available for MT5 via MQL5 Market

  •    MQL5

MQL5 header file for 'Median and Turbo Renko indicator bundle' available for MT5 via MQL5 Market. The class library file simplifies the use of the MT5 MedianRenko indicator when creating a Renko EA for MT5. The created EA will automatically acquire the settings used on the Renko chart it is applied to, so it is no longer required to clone the indicator's settings used on the chart to the Renko settings that should be used in the EA. CommonSettings.mqh & RenkoSettings.mqh - These header files are used by the MedianRenko class to automatically read the EA settings used on the Renko chart where the EA should be attached.




timestream-aggregates - Aggregation operations for timeseries streams (objectMode streams ordered by timestamp)

  •    Javascript

Aggregation functions for objectMode streams. Contains a set of stream Transforms that accept objectMode streams with a sequenceKey and aggregate all other values of each record into chunks at regular intervals. This is most useful for timeseries data as the chunked aggregation function is designed to slice data by time.