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).
152 lines
4.8 KiB
C
152 lines
4.8 KiB
C
/* Multi-timeframe indicators with the Wickra C ABI.
|
|
*
|
|
* The C counterpart of `examples/rust/src/bin/multi_timeframe.rs` and
|
|
* `examples/python/multi_timeframe.py`: read the bundled 1-minute BTCUSDT CSV
|
|
* (or a path on the command line), resample it to 5m / 15m / 1h / 4h / 1d, and
|
|
* print the last RSI(14), MACD(12,26,9) histogram and ADX(14) at each timeframe.
|
|
*
|
|
* The Rust/Python stack resamples through `wickra-data`; the C ABI ships only
|
|
* the indicators, so the time-bucket aggregation is done here (open = first,
|
|
* high = max, low = min, close = last, volume = sum per bucket).
|
|
*
|
|
* Build (after `cargo build -p wickra-c --release`):
|
|
* cc examples/c/multi_timeframe.c -I bindings/c/include -L target/release -lwickra -lm -o multi_timeframe
|
|
* ./multi_timeframe [path/to/1m.csv]
|
|
*/
|
|
|
|
#define WICKRA_CSV_IMPL
|
|
#include "wickra.h"
|
|
#include "wickra_csv.h"
|
|
#include <math.h>
|
|
#include <stdio.h>
|
|
#include <stdlib.h>
|
|
|
|
#ifndef WICKRA_DATA_DIR
|
|
#define WICKRA_DATA_DIR "../data"
|
|
#endif
|
|
|
|
#define ONE_MINUTE_MS 60000LL
|
|
|
|
/* Aggregate `in` into fixed-width time buckets of `tf_ms`. Writes the bucketed
|
|
* candles into the caller-owned `out` (capacity >= count) and returns how many
|
|
* buckets were produced. */
|
|
static size_t resample(const WickraBar *in, size_t count, int64_t tf_ms,
|
|
WickraBar *out) {
|
|
size_t produced = 0;
|
|
int open_bucket = 0;
|
|
int64_t bucket_start = 0;
|
|
WickraBar cur = {0};
|
|
for (size_t i = 0; i < count; ++i) {
|
|
int64_t b = in[i].timestamp - (in[i].timestamp % tf_ms);
|
|
if (!open_bucket || b != bucket_start) {
|
|
if (open_bucket) {
|
|
out[produced++] = cur;
|
|
}
|
|
bucket_start = b;
|
|
cur = in[i];
|
|
cur.timestamp = b;
|
|
open_bucket = 1;
|
|
} else {
|
|
if (in[i].high > cur.high) {
|
|
cur.high = in[i].high;
|
|
}
|
|
if (in[i].low < cur.low) {
|
|
cur.low = in[i].low;
|
|
}
|
|
cur.close = in[i].close;
|
|
cur.volume += in[i].volume;
|
|
}
|
|
}
|
|
if (open_bucket) {
|
|
out[produced++] = cur;
|
|
}
|
|
return produced;
|
|
}
|
|
|
|
static void summarize(const char *label, const WickraBar *candles, size_t n) {
|
|
if (n == 0) {
|
|
printf(" %-5s (empty)\n", label);
|
|
return;
|
|
}
|
|
struct Rsi *rsi = wickra_rsi_new(14);
|
|
struct MacdIndicator *macd = wickra_macd_indicator_new(12, 26, 9);
|
|
struct Adx *adx = wickra_adx_new(14);
|
|
|
|
double last_rsi = NAN;
|
|
double last_hist = NAN;
|
|
double last_adx = NAN;
|
|
for (size_t i = 0; i < n; ++i) {
|
|
const WickraBar *c = &candles[i];
|
|
double r = wickra_rsi_update(rsi, c->close);
|
|
if (isfinite(r)) {
|
|
last_rsi = r;
|
|
}
|
|
WickraMacdOutput m;
|
|
if (wickra_macd_indicator_update(macd, c->close, &m)) {
|
|
last_hist = m.histogram;
|
|
}
|
|
WickraAdxOutput a;
|
|
if (wickra_adx_update(adx, c->open, c->high, c->low, c->close, c->volume,
|
|
c->timestamp, &a)) {
|
|
last_adx = a.adx;
|
|
}
|
|
}
|
|
|
|
char b_rsi[16], b_hist[16], b_adx[16];
|
|
if (isfinite(last_rsi)) {
|
|
snprintf(b_rsi, sizeof(b_rsi), "%6.2f", last_rsi);
|
|
} else {
|
|
snprintf(b_rsi, sizeof(b_rsi), " --");
|
|
}
|
|
if (isfinite(last_hist)) {
|
|
snprintf(b_hist, sizeof(b_hist), "%+6.2f", last_hist);
|
|
} else {
|
|
snprintf(b_hist, sizeof(b_hist), " -- ");
|
|
}
|
|
if (isfinite(last_adx)) {
|
|
snprintf(b_adx, sizeof(b_adx), "%6.2f", last_adx);
|
|
} else {
|
|
snprintf(b_adx, sizeof(b_adx), " --");
|
|
}
|
|
printf(" %-5s bars=%5llu last_close=%10.2f rsi=%s macd_hist=%s adx=%s\n",
|
|
label, (unsigned long long)n, candles[n - 1].close, b_rsi, b_hist, b_adx);
|
|
|
|
wickra_rsi_free(rsi);
|
|
wickra_macd_indicator_free(macd);
|
|
wickra_adx_free(adx);
|
|
}
|
|
|
|
int main(int argc, char **argv) {
|
|
const char *path = (argc > 1) ? argv[1] : WICKRA_DATA_DIR "/btcusdt-1m.csv";
|
|
|
|
WickraBar *ones = NULL;
|
|
size_t n = wickra_load_csv(path, &ones);
|
|
if (n == 0) {
|
|
fprintf(stderr, "multi_timeframe: no candles read from %s\n", path);
|
|
return 1;
|
|
}
|
|
/* Resampling only ever produces fewer candles than the 1m source. */
|
|
WickraBar *buf = (WickraBar *)malloc(n * sizeof(*buf));
|
|
if (buf == NULL) {
|
|
fprintf(stderr, "multi_timeframe: allocation failed\n");
|
|
free(ones);
|
|
return 1;
|
|
}
|
|
|
|
printf("Multi-timeframe view of %s\n", path);
|
|
summarize("1m", ones, n);
|
|
|
|
const struct {
|
|
const char *label;
|
|
int64_t minutes;
|
|
} frames[] = {{"5m", 5}, {"15m", 15}, {"1h", 60}, {"4h", 240}, {"1d", 1440}};
|
|
for (size_t f = 0; f < sizeof(frames) / sizeof(frames[0]); ++f) {
|
|
size_t m = resample(ones, n, frames[f].minutes * ONE_MINUTE_MS, buf);
|
|
summarize(frames[f].label, buf, m);
|
|
}
|
|
|
|
free(buf);
|
|
free(ones);
|
|
return 0;
|
|
}
|