Understanding the Data Quality Indicator
The Data Quality indicator shows how complete the data is for a given stock. More complete data means more reliable analysis across all other indicators.
What It Measures
- Has Financials: Balance sheet, income statement, cash flow data available
- Has Dividends: Historical dividend payment data available
- Has Prices: Current and historical price data available
- Gate Failures: Specific data points that are missing
How to Read the Status
| Status | Criteria | Meaning |
|---|---|---|
| 🟢 Good | All data present, no gaps | Complete analysis available — high confidence |
| 🟡 Neutral | ≤ 2 data gaps | Most analysis reliable, some indicators may be incomplete |
| 🔴 Bad | > 2 data gaps | Significant gaps affect analysis reliability |
Why It Matters
Other indicators depend on underlying data. Missing financial data means we can't calculate payout ratio. Missing dividend history affects reliability scores. Always check data quality when an indicator shows "Incomplete."
What to Do
- Good: Full confidence in all indicator readings.
- Neutral: Check which data is missing. If it affects your key indicators, verify from other sources.
- Bad: Use external sources to supplement analysis. Consider waiting for better data coverage.