ARCH Garch Volatility

ARCH Garch Volatility: ARCH Garch Volatility: specialized toolkit for 3+ finance workflows covered in the triggers section.

✓ 0 reported success·v0.1.0·

Overview

ARCH Garch Volatility skill for finance analytics. Covers 3+ use cases. (batch-v1 draft, needs English review) This skill is built on open-source project tangweigang-jpg/doramagic-skills and embeds 15 anti-pattern constraints. Visit doramagic.ai/r/arch-garch-volatility for bilingual documentation and use cases. Compatible with the Doramagic ecosystem (Claude Code, Cursor, openclaw, ChatGPT, Gemini, etc.).

Blueprint Source

finance-bp-124

tangweigang-jpg/doramagic-skills6360a632 source files

Constraints

92total
77fatal
77 must-not-violate

Evidence Quality

Confidence89%

Medium confidence — review before critical use

77 non-negotiable constraints

FATALdomain_rulefinance-C-001

WHENWhen implementing data input for ARCH model initialization

ACTIONvalidate that input data contains only finite values using np.all(np.isfinite) before any numeric computation

CONSEQUENCEOptimizers and recursive variance computations will produce NaN/inf results, causing the entire model estimation to fail silently with meaningless outputs

FATALdomain_rulefinance-C-002

WHENWhen implementing data input for ARCH model initialization

ACTIONconvert each input data to contiguous float64 arrays using np.ascontiguousarray before storing in self._y

CONSEQUENCENon-contiguous arrays or non-float64 types will cause buffer errors in Cython/Numba optimized recursive computations, leading to segmentation faults or incorrect variance calculations

FATALdomain_rulefinance-C-009

WHENWhen initializing ARCH models with data

ACTIONpass None as input data without raising RuntimeError when attempting to fit the model

CONSEQUENCEFitting attempt with no data will cause cryptic errors in scipy optimize or segfault in Cython recursions

FAQ

Discussion (0)

No comments yet. Be the first to share!

Changelog

v0.1.02026-04-23·Contributors: tangweigang-jpg

v0.1.0: Initial release on Doramagic.ai. Auto-generated batch-v1 metadata and FAQs based on tangweigang-jpg/doramagic-skills.