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wickra/examples/c/strategy_bollinger_squeeze.c
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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

138 lines
4.7 KiB
C

/* Strategy example: Bollinger-Squeeze breakout with ATR stop (Wickra C ABI).
*
* Enters long when the Bollinger Bandwidth has just printed a fresh 6-month low
* (the squeeze) and price closes above the upper band (the release). Exits when
* price closes below entry minus 2*ATR(14), or when the upper band trails back
* below the entry price (the squeeze has played out). 0.1% fees per trade. The
* C counterpart of `examples/rust/src/bin/strategy_bollinger_squeeze.rs`.
*
* Educational example. NOT a live trading recommendation. Uses the checked-in
* `examples/data/btcusdt-1d.csv` dataset because daily bars give an
* interpretable "6-month low" lookback (~180 bars).
*
* Build (after `cargo build -p wickra-c --release`):
* cc examples/c/strategy_bollinger_squeeze.c -I bindings/c/include -L target/release -lwickra -lm -o strat_bb
*/
#define WICKRA_CSV_IMPL
#define WICKRA_STRATEGY_IMPL
#include "wickra.h"
#include "wickra_csv.h"
#include "wickra_strategy.h"
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#ifndef WICKRA_DATA_DIR
#define WICKRA_DATA_DIR "../data"
#endif
#define FEE 0.001
#define BB_PERIOD 20
#define BB_K 2.0
#define ATR_PERIOD 14
#define ATR_STOP_MULT 2.0
#define SQUEEZE_LOOKBACK 180 /* ~6 months of daily bars */
int main(int argc, char **argv) {
const char *path = (argc > 1) ? argv[1] : WICKRA_DATA_DIR "/btcusdt-1d.csv";
WickraBar *candles = NULL;
size_t n = wickra_load_csv(path, &candles);
if (n < SQUEEZE_LOOKBACK + BB_PERIOD) {
fprintf(stderr, "dataset has only %llu bars; need at least %d\n",
(unsigned long long)n, SQUEEZE_LOOKBACK + BB_PERIOD);
free(candles);
return 1;
}
struct BollingerBands *bb = wickra_bollinger_bands_new(BB_PERIOD, BB_K);
struct Atr *atr = wickra_atr_new(ATR_PERIOD);
double *trades = (double *)malloc(n * sizeof(*trades));
double *equity_curve = (double *)malloc(n * sizeof(*equity_curve));
/* Circular buffer of recent bandwidth values for the squeeze lookback. */
double bw_window[SQUEEZE_LOOKBACK];
size_t bw_len = 0, bw_head = 0;
if (bb == NULL || atr == NULL || trades == NULL || equity_curve == NULL) {
fprintf(stderr, "allocation failed\n");
return 1;
}
int in_position = 0;
double entry_price = 0.0, stop_level = 0.0;
size_t n_trades = 0;
double equity = 1.0;
for (size_t i = 0; i < n; ++i) {
const WickraBar *c = &candles[i];
double price = c->close;
WickraBollingerOutput b;
int bb_ready = wickra_bollinger_bands_update(bb, price, &b);
double a = wickra_atr_update(atr, c->open, c->high, c->low, c->close,
c->volume, c->timestamp);
equity_curve[i] = in_position ? equity * (price / entry_price) : equity;
if (!bb_ready || !isfinite(a)) {
continue;
}
double bandwidth =
fabs(b.middle) > 1e-15 ? (b.upper - b.lower) / b.middle : NAN;
if (isfinite(bandwidth)) {
if (bw_len == SQUEEZE_LOOKBACK) {
bw_window[bw_head] = bandwidth;
bw_head = (bw_head + 1) % SQUEEZE_LOOKBACK;
} else {
bw_window[bw_len++] = bandwidth;
}
}
if (bw_len < SQUEEZE_LOOKBACK || !isfinite(bandwidth)) {
continue;
}
double min_bw = INFINITY;
for (size_t k = 0; k < bw_len; ++k) {
if (bw_window[k] < min_bw) {
min_bw = bw_window[k];
}
}
if (in_position) {
int stop_hit = price < stop_level;
int upper_collapse = b.upper < entry_price;
if (stop_hit || upper_collapse) {
double trade_ret = price / entry_price - 1.0;
trades[n_trades++] = trade_ret;
equity *= (1.0 + trade_ret) * (1.0 - FEE);
in_position = 0;
}
} else {
int is_new_low = fabs(bandwidth - min_bw) < 1e-12;
int breakout = price > b.upper;
if (is_new_low && breakout) {
entry_price = price;
stop_level = price - ATR_STOP_MULT * a;
equity *= 1.0 - FEE;
in_position = 1;
}
}
}
if (in_position) {
double trade_ret = candles[n - 1].close / entry_price - 1.0;
trades[n_trades++] = trade_ret;
equity *= (1.0 + trade_ret) * (1.0 - FEE);
}
wickra_print_summary("Bollinger Squeeze Breakout (1d, BTCUSDT)", candles[0].close,
candles[n - 1].close, n, trades, n_trades, equity,
equity_curve, n);
wickra_bollinger_bands_free(bb);
wickra_atr_free(atr);
free(trades);
free(equity_curve);
free(candles);
return 0;
}