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-10.8% to $166.00
Predicted High$185.50in 2 weeks
Predicted Low$166.00at 6 months
Max Drawdown (predicted)-10.8%
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 Sep 2, 2026 1:09 pm
Bear
EXPD trends lower to
$166.00
(-10.8% from $186.09)
by Mar 2027.
flat-then-break
ThesisEXPD trades ~50% above composite fair value after a 27% rally, but with neutral regime, no earnings catalyst, and quiet-quality narrative intact, mean reversion is gradual rather than abrupt. Path drifts sideways near-term then decays toward the mid-160s as valuation gravity slowly asserts.
Invalidated ifA break above $200 on volume or sustained hold above $190 through Q4 would invalidate the fade thesis; conversely a crack below $170 accelerates it.
Checkpointtime after the call
Datewhen it gets graded
Predictedthe claim: closing price
Current priceactual close — fills in over time
Predicted returnpredicted vs $186.09 at call
Conv.brain's confidence, 1–10
Driverwhy the brain put the point here
Prediction made
Sep 2, 2026
—
$186.09at call
—
—
The anchor — every point below is measured from this price and date.
2 weeks
Sep 16, 2026
$177.24–$194.94typical range · internal point $185.50
—
±4.8%
7/10
Momentum intact, no catalyst, drifts near current
What actually happened:
closed $193.90
on Sep 15, 2026 = +4.2% vs the call
(predicted -0.3%)
· direction HIT
(called flat, was flat)
· off by 4.5 pp
· accuracy 8/10
· typical range ±4.8%:
inside the band
· S&P -1.1%
over the same window — beat it
1 month
Oct 2, 2026
$173.26–$198.92typical range · internal point $183.00
—
±6.9%
6/10
Quiet tape, mild profit-taking begins
What actually happened:
closed $187.74
on Oct 1, 2026 = +0.9% vs the call
(predicted -1.7%)
· direction HIT
(called flat, was flat)
· off by 2.6 pp
· accuracy 9/10
· typical range ±6.9%:
inside the band
· S&P +0.0%
over the same window — lagged it
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
$166.39
(-10.6%)
— 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
$186.09
Composite fair value
$116.70
Signal-adjusted fair value
$123.96
DCF fair value
$140.32
Anchored-PE fair value
$123.04
Buy-below (value lens)
—
Value net score
+0
Value confidence
5 / 10
Quality net score
+0
Memo confidence
7 / 10
Deserved value (base)
—
Quality tilt
—
Deserved value (used)
—
Coherence (value × quality)
—
Price behaviour (trailing — shapes the realism line)