China Catalyst Calendar logo

China Catalyst Calendar

Community
jwangkun
china-catalyst-calendar

Track upcoming catalysts for A-share coverage universe — earnings dates, regulatory announcements, sector conferences, product launches, and policy events relevant to Chinese equities. Adapted from the original catalyst-calendar skill for A-share market conventions. Triggers on "A股催化剂日历", "事件日历", "财报日历", "earnings calendar A-share", "upcoming catalysts China", or "what's coming up for [company]".

Overview

Publisherjwangkun
Repositoryclaude-for-financial-services-cn
Skill namechina-catalyst-calendar
Stars
834
Forks
132
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by jwangkun on GitHub. Read the source before you install it.

Installation

Install the China Catalyst Calendar AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/jwangkun/claude-for-financial-services-cn/tree/main/agent-plugins/china-earnings-reviewer/skills/china-catalyst-calendar
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jwangkun/claude-for-financial-services-cn.git /tmp/claude-for-financial-services-cn
mkdir -p .claude/skills
cp -r /tmp/claude-for-financial-services-cn/agent-plugins/china-earnings-reviewer/skills/china-catalyst-calendar .claude/skills/china-catalyst-calendar
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable China Catalyst Calendar in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads China Catalyst Calendar on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so China Catalyst Calendar is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

china-catalyst-calendar

Purpose

Build and maintain a A股催化剂日历 tracking upcoming events that could materially impact stock prices within a coverage universe.

Catalyst Types (A-share Specific)

1. Earnings & Financial Reports

EventTypical TimingNotes
业绩预告 (earnings preview)1-4 weeks beforeMandatory if variance >50% from prior
季报 (quarterly report)1 month after quarter-end10-day grace period possible
中报 (semi-annual report)2 months after H115-day grace period
年报 (annual report)4 months after year-endMost important event of the year
业绩说明会 (earnings call)Same day or next trading day上证e互动 / 深交所互动易

2. Regulatory & Policy Events

EventImpactTypical Timing
央行MLF/LPR操作High (liquidity, rates)15th of each month (MLF)
央行降准/降息Very highAd-hoc, 国新办发布会
国务院政策发布Sector-specificAd-hoc
部委监管政策 (NMPA, MIIT, etc.)Industry-specificAd-hoc
集采结果 (volume-based procurement)Pharma/medtechQuarterly cycles
行业准入政策变化Sector-specificAd-hoc
反垄断调查Specific companiesAd-hoc

3. Corporate Events

EventImpactNotes
股东大会 (AGM)Low-mediumVoting on key items
分红/送股/转增 (dividend/rights)MediumEx-dividend date matters
限售股解禁 (lock-up expiry)Medium-highWatch large blocks
增减持公告 (shareholder transactions)Low-medium5% threshold triggers disclosure
回购 (share buyback)Low-mediumImplementation tracking
并购重组 (M&A announcements)High停牌 until announcement
增发/配股 (seasoned equity)HighDilution impact
可转债发行/转股MediumConversion tracking

4. Sector / Industry Events

EventExample SectorsNotes
行业展会/论坛新能源, 半导体, 医药Networking, product announcements
政策研讨会环保, 教育, 互联网Policy direction signals
行业协会数据发布汽车, 光伏, 风电Monthly/quarterly stats
国际展会 (CES, IFA, etc.)消费电子New product launches

5. Macro Data Releases

IndicatorFrequencyImpact
PMI (制造业/非制造业)Monthly (1st)Market-wide
CPI / PPIMonthly (9-10th)Rates, commodities
社会融资规模 / M2Monthly (10-15th)Liquidity
外汇储备MonthlyFX sentiment
工业增加值MonthlyGrowth indicator
零售数据MonthlyConsumption
就业数据QuarterlyLabor market

Data Sources (Multi-Tier)

Tier 0 — 万得 Wind(最全面付费数据)

  • 覆盖:A股/港美股/基金/指数/债券/宏观/研报/分析(44个工具)
  • MCP 服务:wind-mcp(需 WIND_API_KEY 密钥,以 ak_ 开头)
  • 优势:全市场覆盖面最广、数据最全面、包含研报和量化分析
  • 密钥申请:https://aifinmarket.wind.com.cn/#/home

Tier 1 - Tonghuashun iFind (paid)

python
ifind_get_stock_events(query)  -> Key corporate events, dividends, buybacks
ifind_search_notice(query)     -> Announcement search
ifind_search_news(query)       -> Related news
ifind_get_stock_info(ticker)   -> Company profile, share structure

Tier 2 - AkShare (free, fallback)

Company-Specific

python
# AkShare MCP
get_financials(ticker, "income", "annual")   → Historical earnings pattern
get_quote(ticker)                            → Current trading status
get_stock_info(ticker)                       → Company basic info

# Web sources for calendar data
# - 巨潮公告搜索: cninfo.com.cn
# - 上交所公告: sse.com.cn
# - 深交所公告: szse.cn

Market-Wide

python
get_index_data("000001")  # 上证指数 context
get_stock_news(ticker="") # General market news

Data source mode: IFIND_DATA_SOURCE_MODE=ifind-only for iFind-only mode.

Workflow

Step 1: Define Coverage Universe

Identify the stocks and sectors to track. Typical A-share coverage universe:

  • 50-200 names
  • Organized by sector/industry
  • Priority tiers (P1 = must-track, P2 = watchlist)

Step 2: Build Calendar Entries

For each catalyst, record:

json
{
  "date": "2024-04-25",
  "type": "earnings",
  "subtype": "季报",
  "ticker": "{{TICKER}}",
  "company": "{{COMPANY_NAME}}",
  "importance": "high",
  "notes": "Q1 2024 results; watch 批价 and inventory",
  "status": "confirmed"
}

Catalyst types in JSON:

  • earnings — quarterly/semi/annual reports
  • earnings_call — 业绩说明会
  • regulatory — 监管政策发布
  • policy — 宏观政策 (央行, 国务院)
  • corporate — 公司事件 (分红, 解禁, M&A)
  • macro_data — 经济数据发布
  • sector_event — 行业展会/论坛
  • lockup_expiry — 限售股解禁

Step 3: Prioritize Catalysts

Importance levels:

  • Critical: Likely to move stock >10% (earnings, M&A, major policy)
  • High: Likely to move stock 5-10% (regulatory decisions, industry data)
  • Medium: Watch item, context-setting (dividend, conference participation)
  • Low: Background noise (routine filings, minor announcements)

Step 4: Pre-Catalyst Preparation

1 week before critical catalysts:

  • Pull latest data and consensus
  • Prepare scenario analysis
  • Draft preliminary positioning note
  • Alert stakeholders if high-impact

1 day before critical catalysts:

  • Final data check
  • Confirm release timing (morning vs afternoon)
  • Prepare pre-market positioning note
  • Set monitoring alerts

Step 5: Post-Catalyst Update

After catalyst passes:

  • Record actual outcome
  • Compare vs scenario framework
  • Update price target / thesis if material
  • Move to "completed" section
  • Flag next catalyst in queue

Calendar Format

Weekly View

【本周催化剂日历】[YYYY-MM-DD 至 YYYY-MM-DD]

周一 [Date]
  - [Time] [Ticker] [Company] — [Event type] — [Importance]
  - [Time] [Macro event] — [Impact assessment]

周二 [Date]
  ...

本周重点:
- [Top 2-3 catalysts to watch]
- [Market-wide risk events]

Monthly View

【X月重要事件日历】

财报窗口:
- [Week 1]: [Sector] Q[X] results: [List of companies]
- [Week 2]: [Sector] Q[X] results: [List of companies]

政策窗口:
- [Date]: [Policy event] — [Expected impact]

解禁窗口:
- [Date]: [Ticker] — [Amount] shares unlocking — [Risk assessment]

宏观数据:
- [Date]: [Indicator] — [Consensus] — [Previous]

Upcoming Catalysts Table

DateCompanyEventImportanceWatch Item
{{DATE}}{{COMPANY_NAME}} ({{TICKER}}){{EVENT_TYPE}}{{IMPORTANCE}}{{WATCH_ITEMS}}
Example贵州茅台 (600519)Q1 年报Critical批价, 动销
04-30工信部新能源车月度数据Medium销量, 渗透率

China-Specific Considerations

Earnings Calendar Patterns

SeasonMonthsKey Notes
Q1 earningsLate April年报 + Q1季报 叠加, 信息密集
H1 earningsLate August中报窗口, 分红预案公布
Q3 earningsLate October三季报, 全年预测调整
Annual earningsJan-April年报密集发布, 分红方案

Lock-up Expiry (限售股解禁)

  • 首发限售股 (IPO lock-up): typically 12 months
  • 定增限售股 (private placement): typically 6-18 months
  • 股权激励限售股: varies by plan
  • High lock-up expiry → potential selling pressure

Risk assessment:

  • Large percentage of float unlocking (>5%) → high risk
  • Concentrated holders (single entity) → higher impact
  • Company in downtrend → higher probability of sale

Regulatory Calendar

Recurring policy events:

  • 中央经济工作会议 (Central Economic Work Conference): Dec
  • 两会 (Two Sessions / NPC & CPPCC): Mar
  • 政治局会议 (Politburo meeting): Monthly (economics discussed ~quarterly)
  • 国新办发布会 (State Council Info Office presser): Ad-hoc
  • 央行货币政策执行报告: Quarterly

Dividend Calendar

  • 股权登记日 (record date): critical for dividend capture
  • 除权除息日 (ex-dividend date): price adjusts
  • 分红实施公告: typically 2-4 weeks after AGM approval
  • 高送转 (high bonus issue): historically market-positive event

Integration with Other Skills

Related SkillIntegration Point
china-earnings-analysisPost-earnings catalyst review
china-earnings-previewPre-earnings scenario setup
china-thesis-trackerCatalyst milestone tracking
china-morning-noteDaily catalyst briefing
china-market-researcherSector catalyst themes

Quality Checks

Before delivering:

  • Calendar covers 4-12 weeks ahead
  • All critical catalysts flagged
  • Dates verified against official sources
  • Importance levels assigned consistently
  • Watch items specific and actionable
  • Pre-catalyst preparation tasks defined

Frequently asked questions

What does the China Catalyst Calendar AI skill do?

Track upcoming catalysts for A-share coverage universe — earnings dates, regulatory announcements, sector conferences, product launches, and policy events relevant to Chinese equities. Adapted from the original catalyst-calendar skill for A-share market conventions. Triggers on "A股催化剂日历", "事件日历", "财报日历", "earnings calendar A-share", "upcoming catalysts China", or "what's coming up for [company]".

Why use China Catalyst Calendar on TypingMind?

Because you install it once and use it with any model. China Catalyst Calendar is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install China Catalyst Calendar in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jwangkun/claude-for-financial-services-cn/tree/main/agent-plugins/china-earnings-reviewer/skills/china-catalyst-calendar. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use China Catalyst Calendar?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with China Catalyst Calendar?

As many as you like. As long as a model supports skills, you can use China Catalyst Calendar with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the China Catalyst Calendar AI skill free?

Yes. It is published on GitHub by jwangkun under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇