SuperAPI AI Directory

china-thesis-tracker

Data & analytics

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Updated 10-15 23:43

About this skill

china-thesis-tracker

Purpose

Track and maintain A-share investment logic/thesis for portfolio positions and watchlist names, ensuring thesis validity is continuously monitored.

Data Sources

Primary: iFind MCP (Tier-1 paid) / AkShare MCP (Tier-2 free alternative)

get_quote(ticker)                        → Current price, valuation
get_historical_data(ticker)             → Price trajectory
get_financials(ticker, "income")         → Financial performance
# News (china-news MCP — separate server)
get_stock_news(ticker="{{TICKER}}")          → News affecting thesis
get_industry_stocks(industry="...")      → Peer context

Secondary Sources

  • Cninfo announcements — corporate actions and filings
  • Earnings briefings — management commentary
  • Broker research reports — analyst updates
  • Wind / Choice — ownership and flow data

Workflow

Step 1: Define / Load Thesis

Thesis statement template:

公司:[Company]([Ticker])
行业:[Industry]
方向:[Long / Short / Watch]

核心投资逻辑 (3-5 bullet points):
1. [Key driver 1]
2. [Key driver 2]
3. [Key driver 3]

目标价:¥XX.XX (X% upside/downside)
时间 horizon:[6M / 1Y / 2Y]
置信度:[High / Medium / Low]

Thesis components:

Component Description Example
Core thesis Why will the stock move? Wholesale price uptrend drives earnings beat
Key assumptions What must be true? Wholesale price >1000 yuan, sell-through growth >15%
Catalysts What triggers re-rating? Q1 earnings, wholesale price data, policy changes
Risks What could break the thesis? Wholesale price decline, competitor volume ramp-up, policy risk
Target Fair value estimate ¥2000 (based on 25x PE)
Stop loss Downside risk limit ¥1500 (corresponding to 20x PE)

Step 2: Track Key Data Points

Company-specific KPIs:

KPI Frequency Source Trend
e.g., wholesale price Weekly Channel research, news ↑ / → / ↓
e.g., sell-through growth Monthly Distributor feedback ↑ / → / ↓
e.g., capacity utilization Quarterly Annual report/interim report ↑ / → / ↓

Financial metrics to track:

Metric Last Reported Trend Thesis Impact
Revenue growth
Gross margin
Net margin
ROE
Net debt/EBITDA

Market metrics:

Metric Current 52W High 52W Low Thesis Relevance
Stock price
Market cap
PE (TTM)
PB
YTD return

Step 3: Monitor Catalysts

Catalyst checklist:

Catalyst Expected Date Status Outcome Thesis Impact
Q1 quarterly report Apr 25 Pending
Wholesale price data Weekly Ongoing Stable at 980 yuan Positive
Shareholders' meeting May 15 Scheduled

Catalyst outcome assessment:

  • Confirming: Result supports thesis → increase conviction
  • Neutral: Result as expected → maintain position
  • Breaking: Result contradicts thesis → reduce/exit position

Step 4: Thesis Validity Check

Regular review questions:

  1. Has the thesis changed?

    • Core drivers still intact?
    • New information adding to or subtracting from thesis?
  2. Are assumptions still valid?

    • Key assumptions: still on track?
    • Any material change to underlying business?
  3. Is the timing right?

    • Catalyst timeline progressing as expected?
    • Market pricing in the thesis?
  4. Is the risk/reward still favorable?

    • Upside/downside ratio updated?
    • Entry price still reasonable?
  5. Should thesis be adjusted?

    • Target price update
    • Risk factors added/removed
    • Time horizon extended/contracted

Step 5: Thesis Status

Status categories:

Status Definition Action
Intact (logic intact) All assumptions hold, catalysts on track Maintain / add on weakness
Under pressure Some assumptions challenged, thesis not broken Monitor closely, define exit criteria
Broken (logic broken) Core thesis invalidated Exit position, document lessons
Evolving Thesis needs update based on new info Update thesis statement, re-evaluate

Step 6: Update Documentation

Thesis update log:

[公司] 投资逻辑更新 [Date]

一、当前状态:[Intact / Under pressure / Broken / Evolving]

二、本期间重要变化:
   - [Change 1]: [Impact on thesis]
   - [Change 2]: [Impact on thesis]

三、数据追踪:
   [Key metrics updated]

四、催化剂进展:
   [Catalyst status update]

五、决策:
   - [Maintain / Add / Reduce / Exit]
   - [Rationale]

六、后续关注:
   - [Next check-in date]
   - [Key metrics to watch]

Step 7: Portfolio-Level Review

Aggregate view:

Position Thesis Status Conviction Days Held P&L Next Catalyst Action

Portfolio-level insights:

  • Which theses are working? Common factors?
  • Which theses are breaking? Common risks?
  • Concentration risk (too many bets on similar thesis?)
  • Hedge effectiveness ( shorts protecting longs?)

China-Specific Thesis Considerations

Common A-share Thesis Types

Thesis Type Description Key Metrics
Wholesale price uptrend Liquor sector price appreciation Wholesale price, inventory, sell-through
Domestic substitution Import substitution Market share, certification progress
Capacity clearance Industry capacity rationalization Capacity utilization, price
Policy tailwinds Policy tailwind Policy implementation, subsidies
Distress reversal Distressed turnaround Debt restructuring, new management
Industry consolidation M&A consolidation Concentration, M&A activity
Technological breakthrough Technology breakthrough Patents, orders
Consumption upgrade Premiumization ASP, product mix

A-share Market Risks to Track

Risk Type Indicator Mitigation
Policy risk Regulatory announcements Diversify across sectors
Systemic risk Shanghai Composite drawdown Hedging, cash position
Liquidity risk Margin balances, turnover Avoid illiquid names
Lock-up risk Unlocking calendar Avoid near-term unlocks
Pledging risk Shareholder pledge ratio Check F10 data
Goodwill risk Goodwill/equity ratio Flag high goodwill names

Typical A-share Thesis Lifecycle

Week 1-2: Initial idea, data gathering
Week 3-4: Thesis formation, model build
Week 5-8: Position establishment, catalyst tracking
Week 9-16: Thesis validation / adjustment
Week 17+: Outcome assessment, exit decision

Quality Checks

Before delivering thesis update:

  • Thesis statement clear and specific
  • Key assumptions listed and tracked
  • Catalysts documented with dates
  • Financial metrics current
  • Price trajectory analyzed
  • Risk factors updated
  • Action recommendation clear
  • Next review date set

Data Source Mode Switch: Set env var IFIND_DATA_SOURCE_MODE to control data source preference.

  • ifind-only (strict): Use iFind only, error if unavailable
  • ifind-fallback (default): iFind preferred, fallback to AkShare
  • akshare-only: Skip iFind, use AkShare only