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+26.0% to $160.00
Predicted High$160.00at 6 months
Predicted Low$128.50in 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 18, 2026 3:09 am
Bull
CHKP trends higher to
$160.00
(+26.0% from $127.01)
by Feb 2027.
dip-then-recover
ThesisCHKP trades at a deep discount to fair value with quality intact, but sentiment is negative and there's no near-term catalyst. Expect gradual mean-reversion toward the deterministic baseline as the April overhang fades and value gravity asserts, with modest early drift given risk-on regime and negative beta muting correlation.
Invalidated ifBreak below $115 bear scenario, or new guidance cut/forensic red flag emerging before next print.
Checkpointtime after the call
Datewhen it gets graded
Predictedthe claim: closing price
Current priceactual close — fills in over time
Predicted returnpredicted vs $127.01 at call
Conv.brain's confidence, 1–10
Driverwhy the brain put the point here
Prediction made
Aug 18, 2026
—
$127.01at call
—
—
The anchor — every point below is measured from this price and date.
2 weeks
Sep 1, 2026
$117.07–$136.95typical range · internal point $128.50
—
±7.8%
6/10
Mild drift higher, no catalyst, low vol
1 month
Sep 18, 2026
$112.61–$141.41typical range · internal point $130.25
—
±11.3%
5/10
Quiet tape, negative beta dampens risk-on
2 months
Oct 18, 2026
$134.00
—
+5.5%
5/10
Value buyers accumulate near cycle lows
3 months
Nov 18, 2026
$142.00
—
+11.8%
5/10
Q3 print approaches, beat streak supports
4 months
Dec 18, 2026
$149.50
—
+17.7%
4/10
Post-earnings re-rating as overhang fades
5 months
Jan 18, 2027
$155.00
—
+22.0%
4/10
Value gravity toward composite fair value
6 months
Feb 18, 2027
$160.00
—
+26.0%
4/10
Convergence to deterministic baseline endpoint
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
$160.11
(+26.1%)
— both lines get graded at every checkpoint, so the brain has to beat the formula, not just replace it.
Brain: claude-opus-4-7.