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+11.1% to $75.90
Predicted High$75.90at 6 months
Predicted Low$68.60in 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 8, 2026 12:56 am
Bull
MO trends higher to
$75.90
(+11.1% from $68.33)
by Feb 2027.
flat-then-break
ThesisMO trades at a meaningful discount to composite fair value ($81.82) with defensive characteristics that should attract flows as the risk-on regime ages. Expect modest near-term drift with the low-beta stock lagging, then gradual mean reversion toward fair value as yield-seekers and value rotation kick in over months 3-6.
Invalidated ifBreak below $62 on volume, or a menthol/nicotine regulatory shock; conversely a sharp risk-off rotation would accelerate upside faster than modeled.
Checkpointtime after the call
Datewhen it gets graded
Predictedthe claim: closing price
Current priceactual close — fills in over time
Predicted returnpredicted vs $68.33 at call
Conv.brain's confidence, 1–10
Driverwhy the brain put the point here
Prediction made
Aug 8, 2026
—
$68.33at call
—
—
The anchor — every point below is measured from this price and date.
2 weeks
Aug 22, 2026
$64.17–$72.49typical range · internal point $68.60
—
±6.1%
6/10
Low-beta drift in risk-on tape, no catalyst
What actually happened:
closed $66.09
on Aug 21, 2026 = -3.3% vs the call
(predicted +0.4%)
· direction HIT
(called flat, was flat)
· off by 3.7 pp
· accuracy 9/10
· typical range ±6.1%:
inside the band
· S&P -1.1%
over the same window — lagged it
1 month
Sep 8, 2026
$62.30–$74.36typical range · internal point $69.20
—
±8.8%
5/10
Dividend support, modest defensive bid emerges
2 months
Oct 8, 2026
$70.80
—
+3.6%
5/10
Q3 print approaches, value screens attract flows
3 months
Nov 8, 2026
$72.50
—
+6.1%
5/10
Earnings beat likely given 3-of-5 track record
4 months
Dec 8, 2026
$73.80
—
+8.0%
4/10
Year-end value rotation, tax-loss buying absent
5 months
Jan 8, 2027
$74.50
—
+9.0%
4/10
January income allocation, yield hunt continues
6 months
Feb 8, 2027
$75.90
—
+11.1%
4/10
Gradual convergence toward composite fair value
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
$74.15
(+8.5%)
— 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
$68.33
Composite fair value
$81.82
Signal-adjusted fair value
$84.04
DCF fair value
$81.69
Anchored-PE fair value
$99.90
Buy-below (value lens)
$62.00
Value net score
+20
Value confidence
6 / 10
Quality net score
+18
Memo confidence
7 / 10
Deserved value (base)
—
Quality tilt
—
Deserved value (used)
—
Coherence (value × quality)
—
Price behaviour (trailing — shapes the realism line)
Realized volatility (annualized)
1m 40.0% 3m 30.6% 6m 27.9%
Daily σ (realism noise)
1.9%
Beta vs S&P 500
1m -1.32 3m -1.11 5m -0.75
Trailing 6-month return
4.5%
Knobs (equation params)
ladder
Array
llm_model
claude-opus-4-7
max_tokens
3000
control_knobs
Array
Neutral band (%)
5
earnings_brief
v1
prompt_version
p1
control_version
v0.3.0
Version & Tech Chain
What produced this prediction — stamped on the record so versions can be compared by success rate later.
Modelv0.6.0#271041f8fcd5
Tech composition (what this version is built from)
#
Process
Kind
Group
1
Synthesisvaluation-synthesis
deterministic
final
2
Scenario Analysisscenario-valuation
deterministic
valuation
3
Valuation / Mispricingext-lens-value
llm
extended
4
Company Qualityext-lens-quality
llm
extended
5
Forensic Memo (combiner)ext-forensic-memo
llm
extended
6
Classificationcompany-classification
llm
foundation
7
Live Quotefmp-quote
data
market-data
Inputs used (the runs that fed this prediction)
Upstream process
Ran
Lag
Run id
company-classification
Aug 8, 2026
freshest
MO-20260808-000712-103b
ext-forensic-memo
Aug 8, 2026
freshest
ext-MO-20260808-004135-ffea
ext-lens-quality
Aug 8, 2026
freshest
ext-MO-20260808-004135-ffea
ext-lens-sentiment
Aug 8, 2026
freshest
ext-MO-20260808-004135-ffea
ext-lens-value
Aug 8, 2026
freshest
ext-MO-20260808-004135-ffea
scenario-valuation
Aug 8, 2026
freshest
MO-20260808-000712-103b
valuation-synthesis
Aug 8, 2026
freshest
MO-20260808-000712-103b
Inputs flagged 7d+ behind the freshest one may be stale relative to the rest of the analysis.
Saved History
2 frozen snapshots — the record we score once predictions mature.