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+7.1% to $11.45
Predicted High$11.45at 6 months
Predicted Low$10.65at 1 month
Max Drawdown (predicted)-0.4%
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 7, 2026 1:05 am
Bull
MFG trends higher to
$11.45
(+7.1% from $10.69)
by Feb 2027.
dip-then-recover
ThesisMFG trades at a modest discount to composite fair value ($12.21) with a mild risk-on tape and consistent earnings beats supporting slow value convergence. Sentiment is slightly negative and narrative is thin, so the path grinds higher rather than gapping, with most of the closing of the gap occurring over months 2-5 as the risk-on regime persists and beta exposure works.
Invalidated ifA break below $10.00 on regime flip to risk-off, or failure to reclaim $11 by month 3, would falsify the convergence path.
Checkpointtime after the call
Datewhen it gets graded
Predictedthe claim: closing price
Current priceactual close — fills in over time
Predicted returnpredicted vs $10.69 at call
Conv.brain's confidence, 1–10
Driverwhy the brain put the point here
Prediction made
Aug 7, 2026
—
$10.69at call
—
—
The anchor — every point below is measured from this price and date.
2 weeks
Aug 21, 2026
$9.94–$11.44typical range · internal point $10.72
—
±7.1%
6/10
Drift near spot, thin narrative, low-vol megabank
What actually happened:
closed $10.13
on Aug 20, 2026 = -5.2% vs the call
(predicted +0.3%)
· direction MISS
(called flat, was down)
· off by 5.5 pp
· accuracy 4/10
· typical range ±7.1%:
inside the band
· S&P -1.5%
over the same window — lagged it
1 month
Sep 7, 2026
$9.60–$11.78typical range · internal point $10.65
—
±10.2%
5/10
Mild sentiment drag, no catalyst, sideways chop
What actually happened:
closed $11.23
on Sep 4, 2026 = +5.1% vs the call
(predicted -0.4%)
· direction MISS
(called flat, was up)
· off by 5.4 pp
· accuracy 4/10
· typical range ±10.2%:
inside the band
· S&P -0.5%
over the same window — beat it
2 months
Oct 7, 2026
$10.85
—
+1.5%
5/10
Risk-on beta tailwind begins pulling toward fair value
What actually happened:
closed $11.15
on Oct 6, 2026 = +4.3% vs the call
(predicted +1.5%)
· direction HIT
(called flat, was flat)
· off by 2.8 pp
· accuracy 9/10
· S&P +0.8%
over the same window — beat it
3 months
Nov 7, 2026
$11.05
—
+3.4%
5/10
Value gravity engages, gap to $12.21 narrows
4 months
Dec 7, 2026
$11.20
—
+4.8%
4/10
Steady convergence, possible Q3 print supports beats streak
Near baseline endpoint, discount to fair value largely closed
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
$11.38
(+6.4%)
— both lines get graded at every checkpoint, so the brain has to beat the formula, not just replace it.
Brain: claude-opus-4-7.