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Rebalancing · AI Research Engine

Research

Portfolio Rebalance — Oct 5, 2026
DEMO DATAReady for review
What changed

Portfolio state, drift, policy and market regime now agree on the same two exposures, so the research package has moved to ready for review.

Why it matters

The recommendation reduces policy drift and regime sensitivity with one modest package rather than a restructuring.

Watch / decide

Two decision packages await human review: RB-2026-0911-A (4 component legs, $8.4M gross activity) and PX-2026-0911-D ($2.0M aggregate digital sleeve reduction). Combined $10.4M gross activity takes drift 6.4 → 2.1 and risk 72 → 58 at an estimated $420K tax consequence.

Research confidence 91%

Recommendations · 4 legs

Evidence

Research package
RB-2026-0911-A
AI Rebalancing Research
Status
Ready for review
Investment Committee · CIO sign-off required
Research confidence
91%
Package confidence — RB-2026-0911-A, 4 legs
Data health
98%
6 sources reconciled
Package notional
$8.4M
3.4% turnover
State → Drift → Context → Action → Rationale → Consequence

Research Thesis

01State
What do we own?

Portfolio remains broadly diversified.

AUM
$248.6M
Positions
23 across 6 classes
Cash
12.6%
Data health
98%
02Drift
How far have we moved?

Technology and digital assets exceed policy.

Technology
18.7% vs 17.0% limit
Digital assets
5.8% vs 5.0% maximum
Drift score
6.4 / 10
Source of drift
Appreciation, not decisions
03Context
What environment are we in?

Market regime is transitioning toward defensive leadership.

Regime
Volatility Transition
Posture
Neutral → Defensive
Classification confidence
82%
Correlation
Rising (0.62)
04Action
What is proposed?

Reduce technology and digital-asset excess and modestly increase defensive sector exposure and cash.

Sell
XLK $4.2M
Buy
XLU $1.8M · XLE $1.4M
Raise cash
$1.0M
Turnover
3.4% of AUM
05Rationale
Why this action?

The adjustment simultaneously reduces policy drift and current-regime sensitivity.

Policy effect
Both breaches cleared with the digital trim
Regime effect
Weakest signal trimmed
Alternative
Waiver: risk unchanged
Scope
No wholesale restructuring
06Consequence
What follows?

Expected drift 6.4 → 2.1 and risk score 72 → 58.

Drift
6.4 → 2.1
Risk score
72 → 58
Breaches
2 → 0
Estimated tax
$420K
Four legs · select a recommendation to inspect its evidence

Proposed Actions

$8.4M notional
If the package is approved in full

Expected Consequence

MeasureIf approvedIf ignored
Drift score2.16.4
Risk score5872
Policy breaches02
Cash13%12.6%
Estimated tax
$420K
Balanced lot selection
Trading friction
$38K
Spread and impact
30-day outlook

If We Do Nothing

Portfolio risk+14%
Drawdown sensitivity+1.9pp
Probability still outside policy64%
Breaches resolved0 of 2

Doing nothing is a legitimate decision, but it is not a neutral one: both breaches persist and the exposures most sensitive to the regime change stay largest.

Research only. No order, allocation instruction or execution path is generated by this system; every leg requires human approval.

From the Analytics Library

Factor & evidence analytics

Factor exposure vs neutral

Simulated model analytics

Standardized exposure to eight style and macro factors (tick = neutral).

Market1.06
Size-0.18
Value-0.31
Momentum0.42
Quality0.22
Volatility0.27
Duration-0.12
Crypto beta0.08
Neutral

ReadingMomentum +0.42 and value −0.31 are the largest style tilts. Momentum and volatility tilts explain much of why the portfolio is regime-sensitive.

Decision → evidence network

Simulated model analytics

Most-referenced evidence inputs: how many decisions and screens consume each.

Volatility3 links
Defensive / Cyclical Leadership3 links
XLK rotation composite3 links
Digital sleeve exposure3 links
August CPI revision — EventEdge prediction3 links
Risk-On / Risk-Off2 links
Liquidity2 links
Trend Quality2 links

ReadingA handful of regime and sector inputs underpin most conclusions. Highly linked inputs are single points of failure — if one changes, many conclusions move.