gordon8018/ashare-sop-engine

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A-Share Theme Structure SOP Engineering v1.7 — Standardized A short-line trade decision-making engine, Hermes Agent skill pack

Overview

A-Share Theme Structure SOP Engineering, a skill pack designed for Skills, achieved a ** full-process transactional aid for short-line " A " . From "Does the macro environment allow for trading" to "What's the main line" to "Specific buy which" to "How to repeat it" -- each step has clear rules, quantitative signals and retroactive decision-making records. The main skills a-share-theme-stucture-sop are the four sub-skills** and contain complete reference files, data architecture and automated flow line descriptions. Copy these five skills catalogues to your Hermes profile lists/research/ directory: v1.7 Upgrade from the fixed "semiconductor main line" to**: the system scans the Shinwan industry index and the luminous concept plate every day, automatically identifying the active subject that meets the "Gross > 3% + Bronze 3 + Line Head". Streamline phase 6 of v1.6 to phase 4 (start/ferment/climate/master rise / divide / fall) and be closer to actual battle. 10/10 Full automation of the data layer, running on a regular basis every day through 5 Cron tasks: - Pools and scoring in front of the disk - Discard snapshots (boom/flost ponds, heat, ladder) - factor automatic scoring (factor scorer.py v1.2) - Tick feature extraction + candidate forward to revenue tracking — Any transaction must pass the L1→L2→L3→L4 sequential level 2. — Theme anchors are dynamically identified from market data without pre-set fixed plate 3. — Risk signals are detected at any point, are immediately suspended or downgraded. 4. — Engines only export "Purpose Watch" and do not automatically place orders

Overview (machine translated)

Translating all A stock short-line trading opportunities into a standardized decision-making process** that can be repeated, quantified and reset**.

What’s this?

A-Share Theme Practice SOP Engineering, a skill kit (Skills) designed for Hermes Age, has achieved a 4-storey standardized decision-making engine for a full-process transactional aid for short-line items in Unit A.

From “Does the macro environment allow for trading” to “What’s the main line” to “Specific buy which” to “How to repeat it” – each step has clear rules, quantitative signals and retroactive decision-making records.

Engine structure

The main skills [[T4] are ** integrated entry points for these four sub-skills** and contain complete reference documents, data architecture and automated flow line descriptions.

Quick start

Preconditions

Hermes Agent installed
Configured Hermes profile

Install

Copy this 5 skills catalogue to your Hermes catalogue[T5]:

Or use directly in Hermes dialogues:

Independent loader skills

If only a particular level is required, the skills can be loaded separately to save the context:

Core innovation point

##1. Quantified rules for back-checking

The L3 rules for v1.7 are measured in the first half of 2026 for the whole market** (6,839 stocks, 119 trading days):

Signal statistics D1 D5 D10 |: ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | Excess of earnings (α) | 0.14% + 0.58% + + 1.71% | ** + 4.95** ** + 8.37** ** + 16.27** |

All t values > 4.9, signal returns have ** statistically significant positive projection capability**.

#2. L1 gate - the largest Alpha source

Adding the L1 environment filter, the D5’s excess returns are **+0.

This page was translated automatically. Technical details may differ from the original.

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Install

npx skillfish add gordon8018/ashare-sop-engine

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