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ATPC

Agape ATPC
Nasdaq / Health Care Equipment & Services
Last Price
Quote time unavailable
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Current thesis
Composite grade C from latest DB weights. Momentum 1.4 / Value 53.5 / Sentiment 64.0
Posture
Mixed
Lead driver
Sentiment
What changed
Sentiment remains the lead driver in the composite.
What can break
Mixed signals. Wait for cleaner trend confirmation.
Momentum
1
Value
53
Sentiment
64
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 2026-08-18 • Model: HYBRID_IC_RP
AI Memo
Unavailable: No memo yet
Investment thesis
As of 2026-08-18

Grade is the composite factor band; factor scores use a 0–100 scale. Confidence describes evidence quality, not a probability of return. Score date: 2026-08-18. Definitions

Supporting evidence
What
Grade C · Mixed
Confidence Medium · Net Neutral
Why
Momentum1 · Δ7d -
Value53 · Δ7d 0.0
Sentiment64 · Δ7d -
So what
Balanced signals (Net Neutral). Wait for confirmation before sizing up.

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
1
10% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Value
53
40% active weight
Current posture
7d trendFlat
Δ7d
0.0
Δ21d
+0.2
Sentiment
64
49% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade C. Momentum 1.4 / Value 53.5 / Sentiment 64.0

Fundamentals (TTM)
As of 2026-08-17
Market Cap
$2.52M
Beta
-
Shares Out
1M
P/E (TTM) · Derived
-0.9
P/S (TTM)
3.39
P/FCF (TTM) · Derived
-1.86
Rev YoY
-5.3%
EPS YoY
-91.0%
Gross Margin
+55.2%
Op Margin
-189.0%
Net Debt
-$23.73M
Current Ratio
9.01
As of 2026-08-18 • Updated nightlySource: Internal modelMethods & Data