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+23.1% to $42.30
Predicted High$42.30at 6 months
Predicted Low$34.60in 2 weeks
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 Aug 14, 2026 3:26 am
Bull
G trends higher to
$42.30
(+23.1% from $34.37)
by Feb 2027.
dip-then-recover
ThesisQuality name trading well below composite fair value with consistent EPS beats and a supportive risk-on tape; low-narrative, low-beta grind higher toward the anchored-PE zone, with value gravity accelerating over months but no near-term catalyst to force a sharp move.
Invalidated ifBreak below $32 on rising volume or a missed earnings print would falsify the recovery path.
Checkpointtime after the call
Datewhen it gets graded
Predictedthe claim: closing price
Current priceactual close — fills in over time
Predicted returnpredicted vs $34.37 at call
Conv.brain's confidence, 1–10
Driverwhy the brain put the point here
Prediction made
Aug 14, 2026
—
$34.37at call
—
—
The anchor — every point below is measured from this price and date.
2 weeks
Aug 28, 2026
$31.43–$37.31typical range · internal point $34.60
—
±8.6%
7/10
Quiet drift, no catalyst, low-beta stability
What actually happened:
closed $37.53
on Aug 27, 2026 = +9.2% vs the call
(predicted +0.7%)
· direction MISS
(called flat, was up)
· off by 8.5 pp
· accuracy 4/10
· typical range ±8.6%:
OUTSIDE the band
· S&P -0.7%
over the same window — beat it
1 month
Sep 14, 2026
$30.10–$38.64typical range · internal point $35.20
—
±12.4%
6/10
Mild mean reversion as sentiment neutralizes
What actually happened:
closed $35.14
on Sep 11, 2026 = +2.2% vs the call
(predicted +2.4%)
· direction HIT
(called flat, was flat)
· off by 0.2 pp
· accuracy 10/10
· typical range ±12.4%:
inside the band
· S&P -1.7%
over the same window — beat it
Value convergence toward signal-adjusted fair value
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
$47.33
(+37.7%)
— both lines get graded at every checkpoint, so the brain has to beat the formula, not just replace it.
Brain: claude-opus-4-7.
Weaknesses
No weaknesses recorded for this run.
All inputs present, no fallbacks used — nothing to flag.
Equation Inputs
Everything feeding the v0.6.0 model — value anchors, the stock's own price behaviour, and the tunable knobs.
Value anchors (from deep analysis)
Price at call
$34.37
Composite fair value
$57.16
Signal-adjusted fair value
$50.86
DCF fair value
$71.45
Anchored-PE fair value
$41.12
Buy-below (value lens)
$30.00
Value net score
+31
Value confidence
6 / 10
Quality net score
+62
Memo confidence
6 / 10
Deserved value (base)
—
Quality tilt
—
Deserved value (used)
—
Coherence (value × quality)
—
Price behaviour (trailing — shapes the realism line)