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-31.3% to $885.00
Predicted High$1,335.00in 2 weeks
Predicted Low$885.00at 6 months
Max Drawdown (predicted)-31.3%
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 4, 2026 1:17 am
Bear
SNDK trends lower to
$885.00
(-31.3% from $1,288.03)
by Feb 2027.
ride-then-fade
ThesisSNDK has ripped 123% over six months on the AI-memory/HBF narrative but just took a 47% July drawdown, revealing extreme fragility at beta ~5. With value lens flashing deeply negative (attractive only below $850) and no earnings catalyst to defend the price, I expect a bounce-fade pattern: brief risk-on rally, then multi-month mean reversion toward the $850-950 zone as narrative crowding unwinds.
Invalidated ifA sustained close above $1450 on strong HBF order news, or a regime flip to risk-off accelerating the decline below $700 early, would break this path.
Checkpointtime after the call
Datewhen it gets graded
Predictedthe claim: closing price
Current priceactual close — fills in over time
Predicted returnpredicted vs $1,288.03 at call
Conv.brain's confidence, 1–10
Driverwhy the brain put the point here
Prediction made
Aug 4, 2026
—
$1,288.03at call
—
—
The anchor — every point below is measured from this price and date.
2 weeks
Aug 18, 2026
$940.60–$1,635.46typical range · internal point $1,335.00
—
±27.0%
6/10
Risk-on regime and oversold bounce lift high-beta name
What actually happened:
closed $1,786.85
on Aug 17, 2026 = +38.7% vs the call
(predicted +3.7%)
· direction MISS
(called flat, was up)
· off by 35.1 pp
· accuracy 2/10
· typical range ±27.0%:
OUTSIDE the band
· S&P +0.6%
over the same window — beat it
1 month
Sep 4, 2026
$784.55–$1,791.51typical range · internal point $1,310.00
Stabilizes near fair-value gravity ahead of next print
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
$0.00
(+0.0%)
— both lines get graded at every checkpoint, so the brain has to beat the formula, not just replace it.
Brain: claude-opus-4-7.