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FRSX

Foresight AutonomousD
Nasdaq / Automobiles & Components
Last Price
Quote time unavailable
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Current thesis
Composite grade D from latest DB weights. Momentum 10.9 / Value 56.7
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
11
Value
57
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 2026-10-30 • Vendor: Data Vendor v1
Scores
As of 2026-10-29 • Model: HYBRID_IC_RP
AI Memo
Unavailable: No memo yet
Investment thesis
As of 2026-10-29

Grade is the composite factor band; factor scores use a 0–100 scale. Confidence describes evidence quality, not a probability of return. Score date: 2026-10-29. Definitions

Supporting evidence
What
Grade D · Defensive
Confidence Medium · Net Neutral
Target $4.00
Why
Momentum11 · Δ7d -
Value57 · 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
11
15% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Value
57
85% active weight
Current posture
7d trendFlat
Δ7d
-0.0
Δ21d
-0.0
Sentiment
N/A
Coverage pending
No current score
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade D. Momentum 10.9 / Value 56.7

Fundamentals (TTM)
As of 2026-10-30
Market Cap
$3.29M
Beta
0.65
Shares Out
5.22M
P/E (TTM) · Derived
-0.1
P/S (TTM)
15.79
P/FCF (TTM) · Derived
-0.12
Rev YoY
+4.1%
EPS YoY
+35.1%
Gross Margin
+55.1%
Op Margin
-2641.8%
Net Debt
-$4.8M
Current Ratio
3.73
As of 2026-10-29 • Updated nightlySource: Internal modelMethods & Data