U

UAP

Universal Opportunity Platform

Informational only — not financial advice
Methodology

How a 0–100 opportunity score is built

Every score is fully deterministic — the same candles always produce the same number, with no AI in the loop. That makes the engine reproducible and backtestable. The AI writes the plain-English narrative after the score exists; it never moves the number. The pipeline runs in three stages.

01

Detect signals

Fire named technical signals from the candle history — RSI extremes, distance from SMA50, MACD trend, volatility compression. Each carries a direction and a 0–1 strength. No signals, no opportunity.

02

Fold into five metrics

Signals plus raw candle math become five 0–100 components: expected return, confidence, safety, liquidity, momentum. Direction (long/short) is the heavier side of the signal weights.

03

Weighted composite

The five metrics combine through fixed weights into one 0–100 score. A floor (55 crypto/stocks, 40 forex) decides what surfaces on the feed.

The five metrics

What each component measures — and how much it counts

Expected return

weight 0.30

Size of the ATR-projected move to target. Highest weight.

Confidence

weight 0.25

Signal agreement × confluence × hit-rate.

Safety

weight 0.20

Inverse of volatility — calmer instruments score higher.

Momentum

weight 0.15

MACD strength and EMA trend agreement, in the trade's favour.

Liquidity

weight 0.10

Log-scaled traded volume — can you actually get filled.

Worked example · live 1h scan

Tracing one real score, end to end

48
score

DOGEUSDT

▲ Long

Top of the ranking — yet still below the 55 crypto floor. The numbers below show why.

Entry
0.07326
Target
0.07459
+1.81%
Stop
0.07260
−0.91%

Stage 1 · Raw readings

RSI(14)
43.01
Price vs SMA50
−1.08%
MACD histogram
≈ 0 (+)
EMA20 vs EMA50
below
ATR%
0.604%
Short/long vol
0.517

Signals fired

macd_bullMACD histogram turned positive
vol_compressionShort-term vol 52% of long-term

RSI and SMA50 stayed silent — nothing extreme enough. Only macd_bull is directional, so the trade is long.

Stage 2 · Metrics

Return
9
Conf
50
Safety
94
Liq
89
Mom
35

Stage 3 · Weighted composite

Each metric contributes value × weight to the final score. The bar is the full 0–100 range; coloured segments are what DOGE actually earned.

40 forex floor
55 crypto floor
Expected return9.1 × 0.32.72
Confidence50.0 × 0.2512.50
Safety94.0 × 0.218.79
Momentum35.1 × 0.155.26
Liquidity88.7 × 0.18.87
Composite48.14
What it teaches

Why a great instrument can still score low

DOGE posted excellent Safety (94) and Liquidity (89) — but scored just 48, below the floor, so it wouldn't appear on your feed. The culprit is Expected Return of 9, weighted heaviest at 0.30. And that's correct: ATR is 0.6%/hour — the market is dead calm, so a 1.8% projected move genuinely isn't much. In a volatile session the same setup projects ~15% → Expected Return jumps to ~75 and the score lights up green.

Known calibration bias

Safety rewards low volatility; Expected Return rewards high volatility — and Expected Return outweighs Safety (0.30 vs 0.20). So the engine net-favours volatile markets. That's why forex, with its ~0.5% moves, needs a lower floor, and why proper per-market volatility normalisation is the real long-term fix.

The takeaway: a high score means a meaningful projected move, backed by agreeing signals, on a tradeable but not-too-wild instrument, with the trend behind it. Scores are legible, reproducible, and never financial advice.