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LBTYB

Liberty GlobalF
Nasdaq / Telecommunication Services
Last Price
Quote time unavailable
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Current thesis
Composite grade F from latest DB weights. Momentum 28.2 / Value 43.5
Posture
Defensive
Lead driver
Value
What changed
Value remains the lead driver in the composite, 7D delta +0.3.
What can break
Mixed signals. Wait for cleaner trend confirmation.
Momentum
28
Value
44
Sentiment
N/A
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 2026-10-27 • Vendor: Data Vendor v1
Scores
As of 2026-10-27 • Model: HYBRID_IC_RP
AI Memo
Unavailable: No memo yet
Investment thesis
As of 2026-10-27

Grade is the composite factor band; factor scores use a 0–100 scale. Confidence describes evidence quality, not a probability of return. Score date: 2026-10-27. Definitions

Supporting evidence
What
Grade F · Defensive
Confidence Medium · Net Neutral
Target $13.42
Why
Momentum28 · Δ7d -
Value44 · Δ7d +0.3
SentimentN/A · Δ7d -
So what
Weak posture (Net Neutral). Prioritize risk control and patience.

Confirming evidence

  • • Value remains the lead driver in the composite, 7D delta +0.3.

Contradictions & invalidation

  • • Mixed signals. Wait for cleaner trend confirmation.

Catalyst clock

No dated catalyst is available.

Lead driver: Value · See fundamentals
Momentum
28
15% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Value
44
85% active weight
Current posture
7d trendFlat
Δ7d
+0.3
Δ21d
0.0
Sentiment
N/A
Coverage pending
No current score
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade F. Momentum 28.2 / Value 43.5

Fundamentals (TTM)
As of 2026-10-27
Market Cap
$2.7B
Beta
1.12
Shares Out
341.09M
P/E (TTM) · Derived
-0.4
P/S (TTM)
1.00
P/FCF (TTM)
6.71
Rev YoY
-7.7%
EPS YoY
-86.7%
Gross Margin
+26.7%
Op Margin
-0.6%
Net Debt
$7.27B
Current Ratio
1.28
As of 2026-10-27 • Updated nightlySource: Internal modelMethods & Data