8a103ef920
* 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).
173 lines
5.2 KiB
R
173 lines
5.2 KiB
R
#' wickra: streaming-first technical indicators
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#'
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#' R bindings for the Wickra technical-analysis library over its C ABI hub. Each
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#' indicator is a constructor (for example [Sma()], [Rsi()], [MacdIndicator()])
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#' returning a `wickra_indicator` object; feed it one observation at a time with
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#' [update()], run a whole series in one call with [batch()], and clear its
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#' state with [reset()]. The native handle is freed automatically when the object
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#' is garbage-collected.
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#'
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#' @keywords internal
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#' @importFrom stats update
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"_PACKAGE"
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#' Update an indicator with one observation
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#'
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#' @param object A `wickra_indicator` created by an indicator constructor.
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#' @param ... The observation: a single value for scalar indicators, the OHLCV
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#' fields plus a timestamp for candle indicators, or two values for pairwise
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#' indicators.
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#' @return The indicator value: a numeric scalar; a named numeric vector for
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#' multi-output indicators (`NA` during warmup); a matrix of completed bars for
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#' bar builders; or a list / numeric vector for profile indicators
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#' (`NULL` during warmup).
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#' @examples
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#' sma <- Sma(3)
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#' for (x in c(1, 2, 3, 4, 5)) v <- update(sma, x)
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#' v # 4
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#' @export
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update.wickra_indicator <- function(object, ...) {
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args <- list(object$ptr, ...)
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if (!is.na(object$values_cap)) {
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args <- c(args, object$values_cap)
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}
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do.call(".Call", c(list(paste0("wk_", object$prefix, "_update")), args,
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list(PACKAGE = "wickra")))
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}
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#' Run an indicator over a whole series in one call
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#'
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#' Available for scalar indicators. The result is identical to feeding the same
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#' inputs through [update()] one at a time, with `NA` at warmup positions.
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#'
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#' @param object A `wickra_indicator`.
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#' @param ... The input vector(s).
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#' @return A numeric vector the same length as the input.
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#' @examples
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#' batch(Sma(3), c(1, 2, 3, 4, 5)) # NA NA 2 3 4
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#' @export
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batch <- function(object, ...) {
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UseMethod("batch")
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}
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#' @rdname batch
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#' @export
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batch.wickra_indicator <- function(object, ...) {
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do.call(".Call", c(list(paste0("wk_", object$prefix, "_batch"), object$ptr),
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list(...), list(PACKAGE = "wickra")))
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}
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#' Reset an indicator to its warmup state
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#'
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#' @param object A `wickra_indicator`.
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#' @return The indicator, invisibly.
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#' @examples
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#' sma <- Sma(3)
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#' update(sma, 1)
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#' reset(sma)
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#' @export
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reset <- function(object) {
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UseMethod("reset")
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}
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#' @rdname reset
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#' @export
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reset.wickra_indicator <- function(object) {
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.Call(paste0("wk_", object$prefix, "_reset"), object$ptr, PACKAGE = "wickra")
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invisible(object)
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}
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#' Number of updates an indicator needs before it produces a value
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#'
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#' Not available for the alt-chart bar builders ([RenkoBars()], [KagiBars()],
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#' [PointAndFigureBars()], …), which have no warmup.
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#'
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#' @param object A `wickra_indicator`.
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#' @return A single integer: the warmup period.
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#' @examples
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#' warmup_period(Sma(14)) # 14
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#' @export
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warmup_period <- function(object) {
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UseMethod("warmup_period")
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}
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#' @rdname warmup_period
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#' @export
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warmup_period.wickra_indicator <- function(object) {
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.Call(paste0("wk_", object$prefix, "_warmup_period"), object$ptr, PACKAGE = "wickra")
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}
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#' Whether an indicator has consumed enough input to emit a value
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#'
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#' Not available for the alt-chart bar builders, which have no warmup.
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#'
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#' @param object A `wickra_indicator`.
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#' @return A single logical.
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#' @examples
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#' sma <- Sma(3)
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#' is_ready(sma) # FALSE
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#' for (x in c(1, 2, 3)) update(sma, x)
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#' is_ready(sma) # TRUE
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#' @export
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is_ready <- function(object) {
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UseMethod("is_ready")
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}
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#' @rdname is_ready
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#' @export
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is_ready.wickra_indicator <- function(object) {
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.Call(paste0("wk_", object$prefix, "_is_ready"), object$ptr, PACKAGE = "wickra")
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}
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#' Canonical name of an indicator
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#'
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#' Returns the stable, human-readable name of the indicator (the same name
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#' reported by every other Wickra binding), e.g. `"SMA"` for [Sma()].
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#'
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#' @param object A `wickra_indicator`.
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#' @return A single character string.
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#' @examples
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#' name(Sma(14)) # "SMA"
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#' @export
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name <- function(object) {
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UseMethod("name")
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}
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#' @rdname name
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#' @export
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name.wickra_indicator <- function(object) {
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.Call(paste0("wk_", object$prefix, "_name"), object$ptr, PACKAGE = "wickra")
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}
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#' Push a trade tick into a tick aggregator
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#'
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#' Feeds one trade tick to a [TickAggregator()] and returns the candles it
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#' closed as a numeric matrix with columns `open`, `high`, `low`, `close`,
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#' `volume`, `timestamp` (zero rows while the open bar merely grows).
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#'
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#' @param object A `wickra_indicator` created by [TickAggregator()].
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#' @param price Trade price.
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#' @param size Trade size (volume).
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#' @param timestamp Trade timestamp, in the same unit as the aggregator bucket.
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#' @return A numeric matrix with six named columns (possibly zero rows).
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#' @examples
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#' agg <- TickAggregator(1000)
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#' push(agg, 100, 1, 0)
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#' push(agg, 102, 1, 1000) # closes the first bucket
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#' @export
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push <- function(object, price, size, timestamp) {
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UseMethod("push")
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}
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#' @rdname push
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#' @export
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push.wickra_indicator <- function(object, price, size, timestamp) {
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out <- .Call(
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paste0("wk_", object$prefix, "_push"),
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object$ptr, price, size, timestamp,
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PACKAGE = "wickra"
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)
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colnames(out) <- c("open", "high", "low", "close", "volume", "timestamp")
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out
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}
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