TA-Lib Technical Analysis

WHENWhen calling check_array on input numpy arrays before C function invocation

ACTIONvalidate array dtype is NPY_DOUBLE (float64) and raise Exception for non-double arrays

CONSEQUENCEPassing non-float64 arrays to TA-Lib C functions causes memory corruption or incorrect calculations due to type mismatch in the C FFI layer

WHENWhen validating input array dimensions before C function calls

ACTIONenforce input arrays have exactly 1 dimension (ndim == 1)

CONSEQUENCEMultidimensional arrays passed to TA-Lib C functions cause memory access violations and segmentation faults due to incorrect stride calculations

WHENWhen checking TA_RetCode return values from C function calls

ACTIONcall _ta_check_success and raise Exception on non-zero (failure) return codes

CONSEQUENCEIgnoring TA_RetCode errors silently propagates invalid computation results, leading to incorrect technical indicator values in trading strategies