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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/twiggs_money_flow.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/twiggs_money_flow.c')
-rw-r--r--lib/twiggs_money_flow.c67
1 files changed, 67 insertions, 0 deletions
diff --git a/lib/twiggs_money_flow.c b/lib/twiggs_money_flow.c
new file mode 100644
index 0000000..334f968
--- /dev/null
+++ b/lib/twiggs_money_flow.c
@@ -0,0 +1,67 @@
+// Twiggs Money Flow
+//
+// twiggs_money_flow
+//
+// Twiggs Money Flow
+//
+//
+//
+// Inputs: 1
+// Outputs: 1
+// Constants: 0
+
+
+#include <math.h>
+#include "ts.h"
+
+
+ts_parameter_t const ts_twiggs_money_flow_p = { .n_inputs = 1, .n_outputs = 1, .n_constants = 0, .params_size = 0 };
+
+uint_t ts_twiggs_money_flow_offset( ts_constant_t const *c )
+{
+ ( void )c;
+ return ( 35 );
+}
+
+int ts_twiggs_money_flow(
+ 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_twiggs_money_flow_p );
+ (void)c;
+ if (n < 2) return -1;
+
+ uint_t period = n - 2;
+
+ fp_t pos_sum = 0;
+ fp_t neg_sum = 0;
+
+ for( uint_t j = 0; j < period; ++j ) y[0][j] = 0;
+ for( uint_t i = 1; i <= period; ++i )
+ {
+ fp_t change = x[0][i] - x[0][i - 1];
+ if( change >= 0 ) pos_sum += change;
+ else neg_sum += fabs( change );
+ }
+
+ fp_t total = pos_sum + neg_sum;
+ y[0][period] = ( total != 0 ) ? ( pos_sum - neg_sum ) / total * 100.0 : 0;
+
+ for( uint_t j = 1; j < n - period; ++j )
+ {
+ fp_t new_change = x[0][period + j] - x[0][period + j - 1];
+ fp_t old_change = x[0][j] - x[0][j - 1];
+
+ if( new_change >= 0 ) pos_sum += new_change;
+ else neg_sum += fabs( new_change );
+ if( old_change >= 0 ) pos_sum -= old_change;
+ else neg_sum -= fabs( old_change );
+
+ total = pos_sum + neg_sum;
+ y[0][period + j] = ( total != 0 ) ? ( pos_sum - neg_sum ) / total * 100.0 : 0;
+ }
+ return 0;
+}
+