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authorEthan Werner <mail@ethanwerner.com>2026-07-01 09:42:39 +0400
committerEthan Werner <mail@ethanwerner.com>2026-07-01 09:42:39 +0400
commit07e18043145f3d91c8ea7ec3ad41b3c905585277 (patch)
tree2bdeae46973f4bdfce263679a4008ac768011f28 /lib/starc_bands.c
initial commit: ts time series analysis library v0.1.0
- 354 financial and mathematical time-series indicators - Uniform C11 API with consistent function signatures - 349 passing tests with -Werror - Static and shared library builds - pkg-config integration - Python bindings - Fuzzing and sanitizer support - Security hardening flags
Diffstat (limited to 'lib/starc_bands.c')
-rw-r--r--lib/starc_bands.c70
1 files changed, 70 insertions, 0 deletions
diff --git a/lib/starc_bands.c b/lib/starc_bands.c
new file mode 100644
index 0000000..0c545f8
--- /dev/null
+++ b/lib/starc_bands.c
@@ -0,0 +1,70 @@
+// Starc Bands
+//
+// starc_bands
+//
+// STARC Bands
+//
+//
+//
+// Inputs: 4
+// Outputs: 3
+// Constants: 2
+
+
+#include <math.h>
+#include "ts.h"
+
+
+typedef struct {
+ uint_t k;
+ fp_t mult;
+} ts_starc_bands_params_t;
+
+ts_parameter_t const ts_starc_bands_p = { .n_inputs = 4, .n_outputs = 3, .n_constants = 2, .params_size = sizeof(ts_starc_bands_params_t) };
+
+
+uint_t ts_starc_bands_offset( ts_constant_t const *c )
+{
+ ( void )c;
+ return ( c ? ((ts_starc_bands_params_t *)c)->k : 0 );
+}
+
+int ts_starc_bands(
+ fp_t * const *y, uint_t y_n,
+ fp_t const * const *x, uint_t x_n,
+ uint_t n, ts_constant_t const *c
+)
+{
+ TS_PROLOGUE( ts_starc_bands_p );
+ if ( !c ) return -1;
+ uint_t k = ((ts_starc_bands_params_t *)c)->k;
+ if (k == 0) return -1;
+ if (n < k + 1) return -1;
+
+ fp_t mult = ((ts_starc_bands_params_t *)c)->mult;
+
+ for( uint_t i = k; i < n; ++i )
+ {
+ fp_t tr_sum = 0;
+ for( uint_t j = 0; j < k; ++j )
+ {
+ uint_t idx = i - k + 1 + j;
+ fp_t tr = fmax( ts_h( x, idx ) - ts_l( x, idx ), fmax( fabs( ts_h( x, idx ) - ts_c( x, idx - 1 ) ), fabs( ts_l( x, idx ) - ts_c( x, idx - 1 ) ) ) );
+ tr_sum += tr;
+ }
+ fp_t atr = tr_sum / (fp_t)k;
+
+ fp_t sum = 0;
+ for( uint_t j = 0; j < k; ++j )
+ {
+ sum += ts_c( x, i - k + 1 + j );
+ }
+ fp_t mean = sum / k;
+
+ y[0][i] = mean + mult * atr;
+ y[1][i] = mean;
+ y[2][i] = mean - mult * atr;
+ }
+ return 0;
+}
+