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-10.4% to $149.00
Predicted High$175.00at 1 month
Predicted Low$149.00at 6 months
Max Drawdown (predicted)-10.4%
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 29, 2026 1:09 pm
Bear
OKTA trends lower to
$149.00
(-10.4% from $166.22)
by Mar 2027.
ride-then-fade
ThesisOKTA is running hot on the AI-identity narrative with a red-hot 129% six-month return, but trades at nearly 2x composite fair value. Momentum and risk-on regime likely extend the rally near-term, then gravity pulls back toward the deterministic baseline as the story matures and rich valuation weighs.
Invalidated ifA break below $140 in the first month, or a sustained close above $195, would falsify this ride-then-fade path.
Checkpointtime after the call
Datewhen it gets graded
Predictedthe claim: closing price
Current priceactual close — fills in over time
Predicted returnpredicted vs $166.22 at call
Conv.brain's confidence, 1–10
Driverwhy the brain put the point here
Prediction made
Aug 29, 2026
—
$166.22at call
—
—
The anchor — every point below is measured from this price and date.
2 weeks
Sep 12, 2026
$141.24–$191.20typical range · internal point $172.50
—
±15.0%
6/10
Momentum and risk-on tape extend post-earnings rally
What actually happened:
closed $166.50
on Sep 11, 2026 = +0.2% vs the call
(predicted +3.8%)
· direction HIT
(called flat, was flat)
· off by 3.6 pp
· accuracy 9/10
· typical range ±15.0%:
inside the band
· S&P -0.7%
over the same window — lagged it
1 month
Sep 29, 2026
$130.02–$202.42typical range · internal point $175.00
—
±21.8%
5/10
AI-identity narrative peaks, buyers still in control
What actually happened:
closed $202.18
on Sep 28, 2026 = +21.6% vs the call
(predicted +5.3%)
· direction HIT
(called up, was up)
· off by 16.4 pp
· accuracy 4/10
· typical range ±21.8%:
inside the band
· S&P -0.4%
over the same window — beat it
2 months
Oct 29, 2026
$170.00
—
+2.3%
5/10
Rally stalls as valuation concerns re-emerge
3 months
Nov 29, 2026
$162.00
—
-2.5%
4/10
Earnings window approaches, positioning trims
4 months
Dec 29, 2026
$158.00
—
-4.9%
4/10
Year-end profit-taking on high-beta winners
5 months
Jan 29, 2027
$153.00
—
-8.0%
4/10
Value gravity pulls toward deterministic baseline
6 months
Mar 1, 2027
$149.00
—
-10.4%
4/10
Convergence to baseline as narrative cools
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
$150.21
(-9.6%)
— both lines get graded at every checkpoint, so the brain has to beat the formula, not just replace it.
Brain: claude-opus-4-7.