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-11.0% to $278.00
Predicted High$322.00at 1 month
Predicted Low$278.00at 6 months
Max Drawdown (predicted)-11.0%
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 27, 2026 1:17 pm
Bear
JBL trends lower to
$278.00
(-11.0% from $312.37)
by Feb 2027.
ride-then-fade
ThesisJBL is trading at more than 2x composite fair value on AI-infrastructure momentum in a risk-on tape. Near-term the narrative and beat streak likely carry it higher, but with a high-beta 2.07 and no catalyst locked in, value gravity should reassert into winter as AI enthusiasm digests, taking the stock modestly lower toward the deterministic baseline.
Invalidated ifA decisive break above $340 on strong volume, or an AI-infra order announcement, would invalidate the fade; conversely a break below $270 accelerates it.
Checkpointtime after the call
Datewhen it gets graded
Predictedthe claim: closing price
Current priceactual close — fills in over time
Predicted returnpredicted vs $312.37 at call
Conv.brain's confidence, 1–10
Driverwhy the brain put the point here
Prediction made
Aug 27, 2026
—
$312.37at call
—
—
The anchor — every point below is measured from this price and date.
2 weeks
Sep 10, 2026
$279.98–$344.76typical range · internal point $316.50
—
±10.4%
6/10
Risk-on regime and AI narrative sustain drift up
What actually happened:
closed $311.37
on Sep 9, 2026 = -0.3% vs the call
(predicted +1.3%)
· direction HIT
(called flat, was flat)
· off by 1.6 pp
· accuracy 10/10
· typical range ±10.4%:
inside the band
· S&P -1.2%
over the same window — lagged it
1 month
Sep 27, 2026
$265.43–$359.31typical range · internal point $322.00
—
±15.0%
5/10
Momentum plus beat-streak halo, no earnings friction
What actually happened:
closed $316.74
on Sep 25, 2026 = +1.4% vs the call
(predicted +3.1%)
· direction HIT
(called flat, was flat)
· off by 1.7 pp
· accuracy 10/10
· typical range ±15.0%:
inside the band
· S&P +0.2%
over the same window — lagged it
2 months
Oct 27, 2026
$318.00
—
+1.8%
4/10
High-beta chop as valuation concerns creep in
3 months
Nov 27, 2026
$305.00
—
-2.4%
4/10
Value gravity begins pulling toward anchored PE
4 months
Dec 27, 2026
$295.00
—
-5.6%
4/10
Year-end profit taking on stretched multiples
5 months
Jan 27, 2027
$285.00
—
-8.8%
3/10
January reset, AI-infra narrative cools
6 months
Feb 27, 2027
$278.00
—
-11.0%
3/10
Converges toward deterministic baseline endpoint
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
$277.85
(-11.0%)
— both lines get graded at every checkpoint, so the brain has to beat the formula, not just replace it.
Brain: claude-opus-4-7.