Stock Signal Scoring — A Worked Example (2026)
This is the scoring methodology made concrete. The engine below is fed an illustrative price series and a set of fundamentals, then produces a 0–100 score, a verdict, and the exact reasons behind it — the same output a real Vietnamese stock would generate.
⚠️ Illustrative only. “DEMO” is a synthetic, deterministic series — not a real ticker, not live data, and not investment advice.
The inputs
Fundamentals
| P/E | 12.4× |
| ROE | 17.8% |
| Debt / Equity | 0.62× |
| Profit growth (YoY) | 14.5% |
| Dividend yield | 3.1% |
Price series
| Sessions | 220 |
| Last close | 29.98 |
| Period change | +53.7% |
Why it scored 86
Every line below is generated by the engine — the audit trail behind the number:
- Low P/E (12.4×) — attractive valuation for long-term investors
- Good ROE (17.8%) — solid return on equity
- Moderate leverage (D/E: 0.62×) — financial risk under control
- Good profit growth (14.5% YoY)
- Modest dividend (3.1%)
- Price above MA200 (+8.6%) — long-term uptrend
- Golden Cross: MA50 > MA200 — positive long-term technical structure
- RSI(14) in ideal zone (58) — not overbought, not oversold
- Price near 52-week high (90% range) — strong upward momentum
Short-term signals
Separate from the long-term score, the engine scans for short-term trading signals and tallies a bias. For this series: bearish (bullish strength 0 vs bearish 2).
- Volume Spike + Price Decline 1–3 days · strength 2
Trading volume 2.4× the 20-session average with price decline — distribution/selling
Frequently Asked Questions
Is this a real stock or live data?
No. This page uses a deterministic, synthetic price series labeled DEMO purely to demonstrate the scoring methodology. It is not a real ticker, not live market data, and not a recommendation. The point is to show what the engine outputs when fed a realistic series.
How was the 0–100 score produced?
The same rules-based engine documented in 'How stock signals are scored' runs over the example: five fundamental metrics contribute up to 50 points and four technical checks contribute up to 50, summed into the composite and mapped to a verdict. Every line in the breakdown below is the engine's own generated reason.
Can this show a real Vietnamese stock?
Yes — the engine is data-source agnostic. Feeding it a real OHLCV history and the company's fundamentals produces a real technical-and-fundamental outlook the same way. The worked example simply uses an illustrative series so the methodology is reproducible and free of live-data dependencies.