cn-tick

Generate intraday A-share tick and volume-energy analysis with seven-chapter fusion reports.

1|1|Updated May 5, 2026
One-click install
npx skills add https://github.com/Ewan-yu/skill-repo --skill cn-tick
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cn-tick
Source: https://github.com/Ewan-yu/skill-repo/tree/main/skills/cn-tick
Command: npx skills add https://github.com/Ewan-yu/skill-repo --skill cn-tick

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

cn-tick solves the problem of turning A-share intraday price/volume behavior into actionable short-term trade decisions by providing a structured six-step data pipeline and a fusion report that explicitly covers auction comparison, VWAP/白黄线关系,承接力、卖出三部曲、缩量决策树与盘后复盘计划.

Core Features & Use Cases

  • A-share intraday 分时量能全链路分析:以竞价量(mx-data)→ 行情与K线(cn-financial)→ 分时量能结构与VWAP/承接力(analyze.py)→ 资讯解读与情绪/板块/龙虎榜(mx-search)→ Claude融合研判为主线,输出完整七章结构,适配盘中与盘后复盘。
  • 卖出三部曲与缩量决策树:输出“开盘不红盘/冲高回落破VWAP/尾盘不涨停”等分级卖出信号,并在缩量场景下基于黄线趋势与偏离均价的规则给出决策与紧迫度。
  • 预期差与大盘共振:当前日出现涨停信号时进行预期差检测,并结合大盘情绪与板块热度对个股可靠性进行修正;在缺失数据时明确提示“数据不足”并避免编造结论。
  • 持仓与盈亏辅助:配套portfolio.py可对持仓执行分时分析并计算盈亏,便于盘中跟踪与盘后复盘。

Quick Start

Ask the cn-tick skill to analyze stock code 002149 for real-time intraday volume/energy and generate a full six-step fusion report with sell signals and an actionable operation conclusion.

Frequently Asked Questions about cn-tick

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze A-share intraday volume and VWAP for real-time short-term trading decisions?

A-share intraday volume analysis combines auction comparison, VWAP white-yellow line relationship, and quantified support-power metrics to generate actionable short-term trade signals. It processes real-time tick data through a structured pipeline to output sell-curve and shrinkage decision rules.

What is the best way to generate sell signals based on intraday tick data and support power?

Sell signals are generated using a three-part sell discipline: monitoring non-red openings, VWAP breakouts on rallies, and non-limit-up closings. Support power metrics quantify volume energy to trigger shrinkage decision trees based on yellow line trends and price deviations.

Can I use A-share intraday analysis tools for post-close portfolio review and next-day action plans?

Yes, intraday analysis supports post-close review mode by processing portfolio holdings to calculate PnL and evaluate tick behavior. It generates fusion reports with next-day action plans, combining auction data, K-lines, and sentiment analysis.

How do VWAP and white-yellow line relationships work in A-share intraday volume energy analysis?

VWAP and white-yellow line relationships track the divergence between current price and average transaction value. White lines represent real-time price while yellow lines track VWAP, with their interaction revealing support strength and momentum for short-term trade timing.

Does A-share intraday analysis require separate data sources for auction volumes, quotes, and market sentiment?

Yes, strict data-source separation is required: auction data, quote/K-line data, and sentiment/sector data must be fetched independently before structured metrics analyze them. This separation ensures accurate fusion reports without fabricated conclusions when data is missing.

Why does intraday volume analysis output 'data insufficient' warnings during A-share short-term signal generation?

Data insufficient warnings occur when required auction volumes, quote data, or sentiment inputs are missing from the pipeline. The analysis explicitly avoids fabricating conclusions and flags missing data to prevent unreliable short-term trade signals in fusion reports.