SuperAPI AI Directory

china-deal-screening

Data & analytics

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Updated 10-16 06:21

About this skill

china-deal-screening

Purpose

Screen A-share investment targets — systematic deal screening for Chinese equity investments.

Data Sources

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

get_industry_stocks(industry="...")    → Industry universe
get_quote(ticker)                     → Valuation screening
get_financials(ticker, "income")      → Financial screening
get_index_data("000001")              → Market context

Secondary Sources

  • East Money — stock screener
  • Hithink RoyalFlush iFinD — screening tool
  • CNINFO — company filings
  • Wind — professional screening

Workflow

Step 1: Define Screening Criteria

Screening framework:

Category Criteria Typical Range
Market cap Min/max ¥5 billion - ¥50 billion
Valuation P/E, P/B P/E 10-30x
Growth Revenue/earnings growth >15% YoY
Profitability ROE, margins ROE >15%
Financial health Debt/equity, current ratio D/E <60%
Liquidity Avg daily volume >¥50 million
Governance Ownership structure Clean cap table

Step 2: Build Screening Universe

Universe construction:

Filter Criteria Source
A-share Main Board 6-digit codes starting with 600/000/001 AkShare
ChiNext Starts with 300 AkShare
STAR Market Starts with 688 AkShare
Beijing Stock Exchange Starts with 8/9 AkShare
ST exclusion Exclude ST/*ST Filter
Recently listed stocks Exclude <6 months Filter

Step 3: Financial Screening

Financial metrics:

Metric Formula Target
Revenue growth rate (Revenue - Revenue_prev) / Revenue_prev >15%
Net profit growth rate (NI - NI_prev) / NI_prev >15%
ROE Net Income / Average Equity >15%
Gross margin Gross Profit / Revenue >30%
Net margin Net Income / Revenue >10%
Debt-to-asset ratio Total Debt / Total Assets <60%
Operating cash flow/net profit OCF / Net Income >0.8

Step 4: Valuation Screening

Valuation metrics:

Metric Formula Target
P/E (TTM) Price / TTM EPS 10-30x
P/B Price / BV per share 1-5x
P/S EV / Revenue 1-5x
EV/EBITDA EV / EBITDA 5-15x
PEG P/E / Growth rate <1.0
Dividend yield Dividend / Price >2% (if applicable)

Step 5: Technical Screening (Optional)

Technical filters:

Indicator Criteria
Stock price position Not at 52-week high
Moving averages Above key MAs
Trading volume Above average
Volatility Moderate

Step 6: Quality Screening

Quality filters:

Factor Check
Audit opinion Standard unqualified
Management Stable, experienced
Shareholder structure No pledge risk
Related-party transactions Reasonable level
Litigation/penalties No material issues

Step 7: Scoring & Ranking

Scoring model:

Category Weight Score (1-10) Weighted
Valuation attractiveness 25%
Growth potential 20%
Profitability 20%

| Financial health | 15% | | | | Quality/Governance | 10% | | | | Liquidity | 10% | | | | Total | 100% | | |

Rank candidates by total score.

Step 8: Due Diligence Queue

Create DD pipeline:

Rank Company Ticker Score Sector Next Step
1 X.X Full DD
2 X.X Quick scan
3 X.X Quick scan

Screening Templates

Template 1: Growth at Reasonable Price (GARP)

Filter Criteria
P/E 10-25x
Revenue growth >20%
ROE >15%
D/E <50%
Market cap >¥10 billion

Template 2: Deep Value

Filter Criteria
P/B <1.5x
Dividend yield >3%
D/E <40%
FCF Positive
Business Stable, understandable

Template 3: Quality Compounder

Filter Criteria
ROE >20% (3Y avg)
Revenue growth >15%
Gross margin >40%
D/E <40%
Market cap >¥20 billion

Template 4: Turnaround Candidate

Filter Criteria
Recent loss 1-2 years
Revenue trough Near bottom
New management Recent change
Restructuring In progress
Industry recovery Improving

China-Specific Screening Considerations

Market Structure

Factor Impact on Screening
Retail-dominated Retail sentiment matters
Policy-driven Policy changes create opportunities
Concepts/themes Theme investing common
Northbound capital Foreign flows signal quality
Institutional holdings Institutional ownership

Common A-share Screening Pitfalls

Pitfall Issue Mitigation
One-off gains Distorts growth/earnings Use non-recurring-adjusted data
Accounting policies Aggressive recognition Check notes
Related-party transactions Inflated revenue Review disclosures
Major shareholder pledges Pledge risk Check pledge ratio
ST risk Delisting risk Exclude ST stocks

Quality Checks

Before finalizing:

  • Criteria well-defined
  • Universe appropriate
  • Data quality verified
  • Scoring model calibrated
  • Top candidates make sense
  • Next steps clear

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