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wickra/testdata/golden/data_candles.csv
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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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open,high,low,close,volume,timestamp
100,106.64642473395035,100,106.64642473395035,6,0
109.33326909627483,112.47494986604055,109.33326909627483,112.47494986604055,10,1000
112.73847630878196,112.73847630878196,110.75463180551151,110.75463180551151,9,2000
108.7737988023383,108.7737988023383,103.92254305856751,103.92254305856751,8,3000
101.57479556705148,101.57479556705148,98.28424227586412,98.28424227586412,12,4000
97.72469882334903,99.24185317672267,97.72469882334903,99.24185317672267,6,5000
101.27235512444012,103.99314457402363,101.27235512444012,103.99314457402363,9,6000
107.20584501801073,114.11541363513378,107.20584501801073,114.11541363513378,6,7000
117.28439764388199,121.87999976774739,117.28439764388199,121.87999976774739,10,8000
122.98543345374605,123.19889810845086,122.5459890808828,122.5459890808828,9,9000
121.12969230082183,121.12969230082183,116.74454423507063,116.74454423507063,8,10000
114.2567321877702,114.2567321877702,110.00125312406458,110.00125312406458,12,11000
108.7030424002833,108.7030424002833,108.7030424002833,108.7030424002833,1,12000
108.19063769933508,108.55447411796011,108.19063769933508,108.55447411796011,5,17000
109.80671474335324,111.88016416080967,109.80671474335324,111.88016416080967,9,18000
114.63427081999565,121.33623047221137,114.63427081999565,121.33623047221137,6,19000
124.77474439137693,130.5378442655162,124.77474439137693,130.5378442655162,10,20000
132.43695669444105,133.65657776549278,132.43695669444105,133.65657776549278,9,21000
132.95746831142935,132.95746831142935,129.46740573130614,129.46740573130614,8,22000
127.07753652299444,127.07753652299444,122.27578013601534,122.27578013601534,12,23000
120.38214657630877,120.38214657630877,118.65934994918358,118.65934994918358,6,24000