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AVXL

Anavex Life SciencesD
Nasdaq / Pharmaceuticals, Biotechnology & Life Sciences
Last Price
Quote time unavailable
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Current thesis
Composite grade D from latest DB weights. Momentum 84.4 / Value 41.2
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
84
Value
41
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 2026-09-08 • 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
Target $20.00
Why
Momentum84 · Δ7d -2.4
Value41 · 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
84
25% active weight
Current posture
7d trendSoftening
Δ7d
-2.4
Δ21d
+63.6
Value
41
75% active weight
Current posture
7d trendFlat
Δ7d
-0.0
Δ21d
+0.1
Sentiment
N/A
Coverage pending
No current score
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade D. Momentum 84.4 / Value 41.2

Fundamentals (TTM)
As of 2026-08-17
Market Cap
$297.56M
Beta
1.20
Shares Out
92.7M
P/E (TTM) · Derived
-5.9
P/S (TTM)
-
P/FCF (TTM) · Derived
-8.12
Rev YoY
-
EPS YoY
-56.2%
Gross Margin
-
Op Margin
-
Net Debt
-$102.58M
Current Ratio
18.24
As of 2026-09-08 • Updated nightlySource: Internal modelMethods & Data