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CSAI

CloudastructureF
Nasdaq / Software & Services
Last Price
Quote time unavailable
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Current thesis
Composite grade F from latest DB weights. Momentum 13.7 / Value 35.1
Posture
Defensive
Lead driver
Value
What changed
Value remains the lead driver in the composite, 7D delta +0.0.
What can break
Mixed signals. Wait for cleaner trend confirmation.
Momentum
14
Value
35
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 2026-08-17 • Vendor: Data Vendor v1
Scores
As of 2026-09-10 • Model: HYBRID_IC_RP
AI Memo
Unavailable: No memo yet
Investment thesis
As of 2026-09-10

Grade is the composite factor band; factor scores use a 0–100 scale. Confidence describes evidence quality, not a probability of return. Score date: 2026-09-10. Definitions

Supporting evidence
What
Grade F · Defensive
Confidence Medium · Net Neutral
Target $20.00
Why
Momentum14 · Δ7d -
Value35 · Δ7d +0.0
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 +0.0.

Contradictions & invalidation

  • Mixed signals. Wait for cleaner trend confirmation.

Catalyst clock

No dated catalyst is available.

Lead driver: Value · See fundamentals
Momentum
14
25% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Value
35
75% active weight
Current posture
7d trendFlat
Δ7d
+0.0
Δ21d
-8.1
Sentiment
N/A
Coverage pending
No current score
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade F. Momentum 13.7 / Value 35.1

Fundamentals (TTM)
As of 2026-08-17
Market Cap
$4.98M
Beta
-
Shares Out
833.26K
P/E (TTM) · Derived
-0.5
P/S (TTM)
-
P/FCF (TTM) · Derived
-0.62
Rev YoY
+13.5%
EPS YoY
-56.7%
Gross Margin
+35.9%
Op Margin
-115.7%
Net Debt
-$8.45M
Current Ratio
4.96
As of 2026-09-10 • Updated nightlySource: Internal modelMethods & Data