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FTFT

Future FinTech GroupD
Nasdaq / Financial Services
Last Price
Quote time unavailable
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Current thesis
Composite grade D from latest DB weights. Momentum 6.6 / Value 39.4 / Sentiment 63.3
Posture
Defensive
Lead driver
Sentiment
What changed
Sentiment remains the lead driver in the composite.
What can break
Mixed signals. Wait for cleaner trend confirmation.
Momentum
7
Value
39
Sentiment
63
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 D · Defensive
Confidence Medium · Net Neutral
Why
Momentum7 · Δ7d -
Value39 · Δ7d +0.5
Sentiment63 · Δ7d -
So what
Weak posture (Net Neutral). Prioritize risk control and patience.

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
7
9% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Value
39
28% active weight
Current posture
7d trendFlat
Δ7d
+0.5
Δ21d
+0.8
Sentiment
63
62% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade D. Momentum 6.6 / Value 39.4 / Sentiment 63.3

Fundamentals (TTM)
As of 2026-08-17
Market Cap
$27.41M
Beta
1.63
Shares Out
1.87M
P/E (TTM) · Derived
-0.1
P/S (TTM)
6.73
P/FCF (TTM) · Derived
-2.20
Rev YoY
-43.9%
EPS YoY
-113.0%
Gross Margin
+7.2%
Op Margin
-148.5%
Net Debt
-$33.55M
Current Ratio
6.71
As of 2026-09-10 • Updated nightlySource: Internal modelMethods & Data