simpleMovingAverage()

Calculate the simple moving average of BigDecimal values over the previous windowSize number of values.

Implementation Notes

This implementation is suitable for Stream<BigDecimal>, for a version that takes a user-specified mapping function see simpleMovingAverageBy(). By default, nulls are ignored and play no part in calculations, see treatNullAs() and treatNullAsZero() below for ways to change this behavior. The default MathContext for all calculations is MathContext.DECIMAL64, but this can be overridden (see withMathContext(), below).

Signatures

simpleMovingAverage(int windowSize)

windowSize - How many trailing elements to average over at any given point in the stream

Additional Methods

Method	Purpose
`excludePartialValues()`	When calculating the moving average, and the full size of the window has not yet been reached, the gatherer should suppress emitting values until the lookback window is full. See example.
`treatNullAsZero()`	When encountering a `null` value in a stream, treat it as `BigDecimal.ZERO` instead. See example.
`treatNullAs(BigDecimal replacement)`	When encountering a `null` value in a stream, treat it as the given `replacement` value instead. See example.
`withMathContext(MathContext mathContext)`	Replace the `MathContext` used for all mathematical operations performed by this gatherer. See example.
`withOriginal()`	Include the original input value from the stream in addition to the calculated value in a `WithOriginal` record. See example.

Examples

Simple moving average of window size 3

Stream
    .of("1.0", "2.0", "10.0", "2.0")
    .map(BigDecimal::new)
    .gather(Gatherers4j.simpleMovingAverage(3))
    .toList();

// [
//   BigDecimal("1.0")
//   BigDecimal("1.5")
//   BigDecimal("4.333333333333333")
//   BigDecimal("4.666666666666667")
// ]

Excluding partial values

Showing that in-process moving average values are not emitted for each element until the lookback window has been filled.

Stream
    .of("1.0", "2.0", "10.0", "2.0")
    .map(BigDecimal::new)
    .gather(Gatherers4j.simpleMovingAverage(3).excludePartialValues())
    .toList();

// [
//   BigDecimal("4.333333333333333")
//   BigDecimal("4.666666666666667")
// ]

Showing nulls are ignored by default

Stream
    .of(null, null, new BigDecimal("10.0"), new BigDecimal("2.0"), new BigDecimal("1.0"))
    .gather(Gatherers4j.simpleMovingAverage(3))
    .toList();

// [
//   BigDecimal("10.0")
//   BigDecimal("6.0")
//   BigDecimal("4.333333333333333")
// ]

Treating null as zero

Stream
    .of(null, null, new BigDecimal("10.0"), new BigDecimal("2.0"))
    .gather(Gatherers4j.simpleMovingAverage(3).treatNullAsZero())
    .toList();

// [
//   BigDecimal("0")
//   BigDecimal("0")
//   BigDecimal("3.333333333333333")
//   BigDecimal("4.0")
// ]

Replacing null with another `BigDecimal`

Stream
    .of(null, null, new BigDecimal("10.0"), new BigDecimal("2.0"))
    .gather(Gatherers4j.simpleMovingAverage(3).treatNullAs(new BigDecimal("3.5")))
    .toList();

// [
//   BigDecimal("3.5")
//   BigDecimal("3.5")
//   BigDecimal("5.666666666666667")
//   BigDecimal("5.166666666666667")
// ]

Specifying a new `MathContext`

Stream
    .of("1.0", "2.0", "10.0", "2.0")
    .map(BigDecimal::new)
    .gather(Gatherers4j
        .simpleMovingAverage(3)
        .withMathContext(new MathContext(3, RoundingMode.DOWN))
    )
    .toList();

// [
//   BigDecimal("1.0")
//   BigDecimal("1.5")
//   BigDecimal("4.33")
//   BigDecimal("4.66")
// ]

Emitting a record containing the original and calculated values

Stream
    .of("1.0", "2.0", "10.0", "2.0")
    .map(BigDecimal::new)
    .gather(Gatherers4j.simpleMovingAverage(3).withOriginal())
    .toList();

// [
//   WithOriginal[original=1.0, calculated=1.0]
//   WithOriginal[original=2.0, calculated=1.5]
//   WithOriginal[original=10.0, calculated=4.333333333333333]
//   WithOriginal[original=2.0, calculated=4.666666666666667]
// ]