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FCUV

Focus UniversalD
Nasdaq / Technology Hardware & Equipment
Last Price
Quote time unavailable
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Current thesis
Composite grade D from latest DB weights. Momentum 99.8 / Value 34.3 / Sentiment 39.4
Posture
Defensive
Lead driver
Sentiment
What changed
Sentiment remains the lead driver in the composite.
What can break
Mixed signals. Wait for cleaner trend confirmation.
Momentum
100
Value
34
Sentiment
39
Setup hits (3d)
0 · Net Neutral
AI TargetsBase - · Bull - · Bear -Analysis date unavailable; returns require an exact persisted reference.
Data freshness
Prices
Unavailable: Price unavailable
Fundamentals
As of 2026-08-17 • Vendor: Data Vendor v1
Scores
As of 2026-09-08 • Model: HYBRID_IC_RP
AI Memo
Unavailable: No memo yet
Investment thesis
As of 2026-09-08

Grade is the composite factor band; factor scores use a 0–100 scale. Confidence describes evidence quality, not a probability of return. Score date: 2026-09-08. Definitions

Supporting evidence
What
Grade D · Defensive
Confidence Medium · Net Neutral
Why
Momentum100 · Δ7d -0.1
Value34 · Δ7d +0.0
Sentiment39 · Δ7d -
So what
Weak posture (Net Neutral). Prioritize risk control and patience.

Confirming evidence

  • Sentiment remains the lead driver in the composite.

Contradictions & invalidation

  • Mixed signals. Wait for cleaner trend confirmation.

Catalyst clock

No dated catalyst is available.

Lead driver: Sentiment · See AI snapshot
Momentum
100
9% active weight
Current posture
7d trendFlat
Δ7d
-0.1
Δ21d
-
Value
34
28% active weight
Current posture
7d trendFlat
Δ7d
+0.0
Δ21d
-21.1
Sentiment
39
62% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade D. Momentum 99.8 / Value 34.3 / Sentiment 39.4

Fundamentals (TTM)
As of 2026-08-17
Market Cap
$4.56M
Beta
0.37
Shares Out
702.81K
P/E (TTM) · Derived
-0.2
P/S (TTM)
17.26
P/FCF (TTM) · Derived
-0.21
Rev YoY
+1811.0%
EPS YoY
-66.4%
Gross Margin
+18.5%
Op Margin
-651.1%
Net Debt
-$7.95M
Current Ratio
2.44
As of 2026-09-08 • Updated nightlySource: Internal modelMethods & Data