The masterbrain's trajectory (blue, curved through its 7 checkpoints), the deterministic v0.3 control (dashed), and the actual price (green) overlaid from the prediction date forward.
Forecast Change-6.8% to $9.60
Predicted High$10.80at 1 month
Predicted Low$9.60at 6 months
Max Drawdown (predicted)-6.8%
Forecast
The masterbrain trajectory — 7 dated checkpoints. Short rungs (2w, 1m) show the typical range as the primary claim; point calls run from 2 months out. Every claim still gets graded.
Predicted Jul 23, 2026 3:36 am
Bear
NOK trends lower to
$9.60
(-6.8% from $10.30)
by Jan 2027.
ride-then-fade
ThesisNokia is riding a fresh AI-infrastructure narrative overlay onto a modestly improving fundamental base after a solid Q2 beat, with strong 6-month momentum (+60%) and positive sentiment. Near-term momentum extends modestly, but a rich move without a value anchor and high beta (2.82) invites some mean reversion over the multi-month horizon as the narrative matures.
Invalidated ifA break below $9.00 on volume or loss of AI-infrastructure narrative catalysts would falsify the near-term ride; conversely sustained close above $12 signals a much stronger regime than modeled.
Checkpointtime after the call
Datewhen it gets graded
Predictedthe claim: closing price
Current priceactual close — fills in over time
Predicted returnpredicted vs $10.30 at call
Conv.brain's confidence, 1–10
Driverwhy the brain put the point here
Prediction made
Jul 23, 2026
—
$10.30at call
—
—
The anchor — every point below is measured from this price and date.
2 weeks
Aug 6, 2026
$8.67–$11.93typical range · internal point $10.55
—
±15.8%
6/10
Momentum and AI narrative carry into early August
What actually happened:
closed $9.58
on Aug 5, 2026 = -7.0% vs the call
(predicted +2.4%)
· direction MISS
(called flat, was down)
· off by 9.4 pp
· accuracy 4/10
· typical range ±15.8%:
inside the band
· S&P +4.3%
over the same window — beat it
1 month
Aug 23, 2026
$7.94–$12.66typical range · internal point $10.80
—
±22.9%
5/10
Sentiment tailwind persists, no earnings catalyst
What actually happened:
closed $10.21
on Aug 21, 2026 = -0.9% vs the call
(predicted +4.9%)
· direction HIT
(called flat, was flat)
· off by 5.7 pp
· accuracy 8/10
· typical range ±22.9%:
inside the band
· S&P +3.6%
over the same window — lagged it
2 months
Sep 23, 2026
$10.65
—
+3.4%
4/10
Consolidation as narrative maturity sets in
3 months
Oct 23, 2026
$10.40
—
+1.0%
4/10
Q3 print approaches, expectations elevated
4 months
Nov 23, 2026
$10.10
—
-1.9%
4/10
Post-earnings digestion, value gravity begins
5 months
Dec 23, 2026
$9.80
—
-4.9%
3/10
Year-end profit-taking on strong 2026 runner
6 months
Jan 23, 2027
$9.60
—
-6.8%
3/10
Mean reversion toward fair-value zone below $8.75
Why ranges on the short rungs?
A 102-prediction trial (2026-07-21) showed 2-week point calls carry no information here —
three prompt formulations all lost to simply predicting zero — while the stock's own
volatility scale (σ×√t) described those windows well. So the short rungs claim what's
actually knowable: the typical travel, with earnings timing flagged where the variance
will come from. The internal point calls keep being generated and graded to map where
real skill begins. Full evidence: stocks/predictions/V0.5-DESIGN.md §8.
Deterministic control (v0.3 value line) targets
$0.00
(+0.0%)
— both lines get graded at every checkpoint, so the brain has to beat the formula, not just replace it.
Brain: claude-opus-4-7.