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+17.2% to $71.00
Predicted High$71.00at 6 months
Predicted Low$61.20in 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
PYPL trends higher to
$71.00
(+17.2% from $60.59)
by Feb 2027.
flat-then-break
ThesisPYPL trades below composite fair value of $75 with strong recent momentum (up 49.8% over 6mo) and a risk-on regime. Value gravity should pull it toward $70s over months, though near-term consolidation is likely after the sharp run. Baseline endpoint of $67.76 seems reasonable; I lean slightly higher given momentum plus consistent earnings beats.
Invalidated ifBreak below $52 attractive-value line or regime flip to risk-off with momentum reversal
Checkpointtime after the call
Datewhen it gets graded
Predictedthe claim: closing price
Current priceactual close — fills in over time
Predicted returnpredicted vs $60.59 at call
Conv.brain's confidence, 1–10
Driverwhy the brain put the point here
Prediction made
Aug 14, 2026
—
$60.59at call
—
—
The anchor — every point below is measured from this price and date.
2 weeks
Aug 28, 2026
$55.56–$65.62typical range · internal point $61.20
—
±8.3%
6/10
Consolidation after strong run, risk-on regime supportive
What actually happened:
closed $61.47
on Aug 27, 2026 = +1.5% vs the call
(predicted +1.0%)
· direction HIT
(called flat, was flat)
· off by 0.5 pp
· accuracy 10/10
· typical range ±8.3%:
inside the band
· S&P -0.7%
over the same window — beat it
1 month
Sep 14, 2026
$53.30–$67.88typical range · internal point $62.50
—
±12.0%
5/10
Drift higher on momentum, no catalyst yet
What actually happened:
closed $53.72
on Sep 11, 2026 = -11.3% vs the call
(predicted +3.2%)
· direction MISS
(called flat, was down)
· off by 14.5 pp
· accuracy 4/10
· typical range ±12.0%:
inside the band
· S&P -1.7%
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
$67.76
(+11.8%)
— 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
$60.59
Composite fair value
$75.36
Signal-adjusted fair value
$77.53
DCF fair value
$76.23
Anchored-PE fair value
$99.81
Buy-below (value lens)
$52.00
Value net score
+28
Value confidence
6 / 10
Quality net score
+38
Memo confidence
6 / 10
Deserved value (base)
—
Quality tilt
—
Deserved value (used)
—
Coherence (value × quality)
—
Price behaviour (trailing — shapes the realism line)