Files
wickra/bindings/r/R/methods.R
T
kingchenc 8a103ef920 feat(data-layer): TickAggregator (tick-to-candle) in all 10 languages (#309)
* feat(data-layer): TickAggregator in Node, WASM, Python + C ABI hub

First data-layer feature (F2): roll trade ticks up into fixed-timeframe OHLCV
candles, exposed natively and over the C ABI.

- wickra-data wired as a binding dependency (workspace dep; its wickra-core dep
  is default-features=false so it never forces rayon into the rayon-free WASM
  build — native bindings re-enable parallel through their own dependency).
- Node `TickAggregator(bucket, gapFill?)` -> `push(price, size, ts): Candle[]`;
  WASM the same (array of objects); Python `push(...) -> list[tuple]`.
- C ABI: `WickraCandle` struct + `wickra_tick_aggregator_new/push/free` (push
  writes candles into a caller buffer and returns the count), generated via the
  capi generator's new DATA_LAYER section; cbindgen now parses wickra-data so
  `TickAggregator` is a forward-declared opaque; header vendored to bindings/go.

Verified bit-identical across Node/WASM/Python/C/C++ (o=100 h=101 l=100 c=101
v=3 ts=0 for the shared 3-tick probe). WIP: Go/C#/Java/R generated bindings and
the cross-language golden are still pending.

* feat(data-layer): TickAggregator in Go, C#, Java, R (lossless push/drain)

Complete F2 across all 10 languages: the C-ABI tick aggregator now uses a
two-step push/drain so gap-fill candles are never lost, and the four generated
bindings expose it idiomatically.

- C ABI redesigned: opaque TickAggregator handle (inner aggregator + pending
  buffer); push consumes a tick and returns the closed-candle count, drain copies
  them into a count-sized caller buffer.
- Go: NewTickAggregator + Push(price,size,ts) []Candle; C#: TickAggregator +
  Candle[] Push(...); Java: TickAggregator + Candle[] push(...); R: TickAggregator
  constructor + push() S3 generic returning an (n x 6) numeric matrix.
- Candle output record generated per language from WickraCandle.

Verified bit-identical to the native bindings (o=100 h=101 l=100 c=101 v=3 ts=0)
in Go, C#, Java, and R at runtime; R passes R CMD check (pre-existing doc
warnings only). WIP: cross-language data-layer golden + CHANGELOG still pending.

* test(data-layer): cross-language golden for the tick aggregator + CHANGELOG

gen_golden emits a deterministic tick stream (testdata/golden/data_ticks.csv) and
the reference candle streams with and without gap filling (data_candles.csv,
data_candles_gap.csv). Every binding replays the shared ticks through its
TickAggregator and checks the candles bit-for-bit (fp tolerance) against the Rust
reference:

- Node / WASM / Python / Go / C# / Java / R: a dedicated parity test each.
- C / C++: data_layer_test.c (compiled as both, run as ctest).

The gap-fill fixture closes several candles from a single push, exercising the
lossless push/drain path. Records the feature under CHANGELOG [Unreleased].

* fix(examples): rename the CSV-loader candle to WickraBar

The example CSV helper (wickra_csv.h) defined its own struct WickraCandle, which
now collides with the public C ABI WickraCandle (the tick aggregator output) in
any example that includes both headers (backtest, multi_timeframe, the strategy
examples). The public type owns the name; rename the example loader's bar to
WickraBar. The generated golden_test.c is untouched (its only match was the
unrelated WickraCandleVolumeOutput).
2026-06-15 21:24:33 +02:00

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R

#' wickra: streaming-first technical indicators
#'
#' R bindings for the Wickra technical-analysis library over its C ABI hub. Each
#' indicator is a constructor (for example [Sma()], [Rsi()], [MacdIndicator()])
#' returning a `wickra_indicator` object; feed it one observation at a time with
#' [update()], run a whole series in one call with [batch()], and clear its
#' state with [reset()]. The native handle is freed automatically when the object
#' is garbage-collected.
#'
#' @keywords internal
#' @importFrom stats update
"_PACKAGE"
#' Update an indicator with one observation
#'
#' @param object A `wickra_indicator` created by an indicator constructor.
#' @param ... The observation: a single value for scalar indicators, the OHLCV
#' fields plus a timestamp for candle indicators, or two values for pairwise
#' indicators.
#' @return The indicator value: a numeric scalar; a named numeric vector for
#' multi-output indicators (`NA` during warmup); a matrix of completed bars for
#' bar builders; or a list / numeric vector for profile indicators
#' (`NULL` during warmup).
#' @examples
#' sma <- Sma(3)
#' for (x in c(1, 2, 3, 4, 5)) v <- update(sma, x)
#' v # 4
#' @export
update.wickra_indicator <- function(object, ...) {
args <- list(object$ptr, ...)
if (!is.na(object$values_cap)) {
args <- c(args, object$values_cap)
}
do.call(".Call", c(list(paste0("wk_", object$prefix, "_update")), args,
list(PACKAGE = "wickra")))
}
#' Run an indicator over a whole series in one call
#'
#' Available for scalar indicators. The result is identical to feeding the same
#' inputs through [update()] one at a time, with `NA` at warmup positions.
#'
#' @param object A `wickra_indicator`.
#' @param ... The input vector(s).
#' @return A numeric vector the same length as the input.
#' @examples
#' batch(Sma(3), c(1, 2, 3, 4, 5)) # NA NA 2 3 4
#' @export
batch <- function(object, ...) {
UseMethod("batch")
}
#' @rdname batch
#' @export
batch.wickra_indicator <- function(object, ...) {
do.call(".Call", c(list(paste0("wk_", object$prefix, "_batch"), object$ptr),
list(...), list(PACKAGE = "wickra")))
}
#' Reset an indicator to its warmup state
#'
#' @param object A `wickra_indicator`.
#' @return The indicator, invisibly.
#' @examples
#' sma <- Sma(3)
#' update(sma, 1)
#' reset(sma)
#' @export
reset <- function(object) {
UseMethod("reset")
}
#' @rdname reset
#' @export
reset.wickra_indicator <- function(object) {
.Call(paste0("wk_", object$prefix, "_reset"), object$ptr, PACKAGE = "wickra")
invisible(object)
}
#' Number of updates an indicator needs before it produces a value
#'
#' Not available for the alt-chart bar builders ([RenkoBars()], [KagiBars()],
#' [PointAndFigureBars()], …), which have no warmup.
#'
#' @param object A `wickra_indicator`.
#' @return A single integer: the warmup period.
#' @examples
#' warmup_period(Sma(14)) # 14
#' @export
warmup_period <- function(object) {
UseMethod("warmup_period")
}
#' @rdname warmup_period
#' @export
warmup_period.wickra_indicator <- function(object) {
.Call(paste0("wk_", object$prefix, "_warmup_period"), object$ptr, PACKAGE = "wickra")
}
#' Whether an indicator has consumed enough input to emit a value
#'
#' Not available for the alt-chart bar builders, which have no warmup.
#'
#' @param object A `wickra_indicator`.
#' @return A single logical.
#' @examples
#' sma <- Sma(3)
#' is_ready(sma) # FALSE
#' for (x in c(1, 2, 3)) update(sma, x)
#' is_ready(sma) # TRUE
#' @export
is_ready <- function(object) {
UseMethod("is_ready")
}
#' @rdname is_ready
#' @export
is_ready.wickra_indicator <- function(object) {
.Call(paste0("wk_", object$prefix, "_is_ready"), object$ptr, PACKAGE = "wickra")
}
#' Canonical name of an indicator
#'
#' Returns the stable, human-readable name of the indicator (the same name
#' reported by every other Wickra binding), e.g. `"SMA"` for [Sma()].
#'
#' @param object A `wickra_indicator`.
#' @return A single character string.
#' @examples
#' name(Sma(14)) # "SMA"
#' @export
name <- function(object) {
UseMethod("name")
}
#' @rdname name
#' @export
name.wickra_indicator <- function(object) {
.Call(paste0("wk_", object$prefix, "_name"), object$ptr, PACKAGE = "wickra")
}
#' Push a trade tick into a tick aggregator
#'
#' Feeds one trade tick to a [TickAggregator()] and returns the candles it
#' closed as a numeric matrix with columns `open`, `high`, `low`, `close`,
#' `volume`, `timestamp` (zero rows while the open bar merely grows).
#'
#' @param object A `wickra_indicator` created by [TickAggregator()].
#' @param price Trade price.
#' @param size Trade size (volume).
#' @param timestamp Trade timestamp, in the same unit as the aggregator bucket.
#' @return A numeric matrix with six named columns (possibly zero rows).
#' @examples
#' agg <- TickAggregator(1000)
#' push(agg, 100, 1, 0)
#' push(agg, 102, 1, 1000) # closes the first bucket
#' @export
push <- function(object, price, size, timestamp) {
UseMethod("push")
}
#' @rdname push
#' @export
push.wickra_indicator <- function(object, price, size, timestamp) {
out <- .Call(
paste0("wk_", object$prefix, "_push"),
object$ptr, price, size, timestamp,
PACKAGE = "wickra"
)
colnames(out) <- c("open", "high", "low", "close", "volume", "timestamp")
out
}