ADAA|SlackQuantPublic Research Dashboard
Frozen public research interface · v0.2.5

Diversify the Decisions,
Not Just the Assets.

ADAA is a rule-governed multi-strategy architecture. This dashboard lets readers inspect how its components differ in what they own, when they change, and how much risk they take—without turning the research into a live trading tool.

Paper v1.25 FINALScientific freeze v0.34Replication v1.1.2Static · offline-capable
Overview

A portfolio can hold several strategies and still depend on one broad decision.

The research asks whether diversification should reach the decision rules themselves—not only the assets those rules eventually hold.

Performance simulation
218 months
June 2008 – July 2026
Decision-Space history
216 months
July 2008 – June 2026
Current sleeves
5
Rule-governed components
2023 reference pool
16 rules
4,368 feasible five-rule sets
Interpretation guardrail. Decision-Space diversity is not a return forecast and not a performance ranking. It measures disagreement in target allocations, holdings, and transition timing. The 2023 reference-set exercise is a retrospective structural diagnostic using the full common 216-month decision history.
Architecture

Five current sleeves, deliberately different decision roles.

The public rules are sources, not immutable recipes. The paper audits where the investable sleeves preserve a parent decision role and where they should be described as practitioner redesigns.

Source lineage ≠ copied code. Where the 2023 implementation followed the DB Financial Investment asset-allocation report, the publication rebuild reconstructs rule logic from the cited operational recipes. The current research implementation is separately written and validated.
Decision diversification

Return correlation is not the whole diversification story.

Two rules can have correlated returns while changing at different times or holding materially different target portfolios. The dashboard exposes both the current-sleeve geometry and the broader 2023 reference pool.

Return correlation vs. transition disagreement

Current five sleeves · pairwise evidence

Source: FIGURE_1_SOURCE_DATA_v0.22.csv

All 4,368 five-rule combinations

Average Decision-Space diversity score

Historical rank
Historical score
Decision diversity
Maximum score
Not “best return”
2023 set
5 families
Source: FIGURE_Z2_SOURCE_DATA_FULL_2023_FIVE_RULE_SELECTOR_v1.0.csv

16-rule Decision-Space matrix

Cell = primary pairwise decision distance. Hover for What / Holdings / When components.

The “historical 2023 set” in this reconstructed pool is ADM / BAA Aggressive / BAA Balanced / FAA / LAA. This is distinct from the current public sleeve set, which includes HAA and does not include BAA Balanced.
Performance & failure

Performance is evidence to inspect, not a claim that every episode is protected.

The core comparison reports return, volatility, Sharpe, drawdown, turnover, transaction-cost sensitivity, and explicit stress windows.

ADAA gross CAGR
Later practitioner weights
Gross Sharpe
BIL-excess convention in paper
Gross max drawdown
Later practitioner weights
25 bps one-way CAGR
Cost sensitivity

Gross risk/return profile

CAGR, volatility and drawdown depth

Stress and failure map

Active return versus 60/40 within specified episodes

Core gross performance table

The hindsight-strongest sleeve is an ex-post comparator, not an implementable ex-ante rule.

PortfolioCAGRVolatilitySharpeMax DDAnn. L1 turnover

Where it helped—and where it did not

Predeclared stress windows plus one data-defined rapid-reversal diagnostic

EpisodeSelection basisADAA60/40Active
Robustness

Avoid the cliffs; do not chase the peak.

The later practitioner weights sit inside a broad high-performing region. The exact ex-post optimum is unstable across bootstrap and rolling windows, which argues for moderate rather than peak optimization.

Near-95% full-sample weight ranges

Blue dot = later practitioner weight · amber dot = full-sample ex-post optimum

Ranges show sleeve weights associated with at least 95% of the optimized full-sample Sharpe under the paper’s constrained robustness exercise. They are diagnostics, not recommended parameter intervals.
Rolling 60-month hindsight winner
Hindsight diagnostic. The rolling optimizer was designed after the main performance results had been examined. It is intentionally adversarial robustness evidence, not confirmatory out-of-sample performance evidence.
FX extension

Currency exposure is an extension, not part of the core ADAA claim.

The FX appendix compares hedged, partially unhedged, unhedged, and legacy dynamic exposure paths on the frozen underlying ADAA returns.

Currency-exposure growth paths

Switch between gross and 25 bps underlying-return paths.

Source: FIGURE_FX1_SOURCE_DATA_MONTHLY_PATHS_v1.0.csv

Gross FX variants

Zero-rate Sharpe is an appendix descriptive statistic and is not directly comparable with the paper’s BIL-excess Sharpe.

VariantCAGRVolatilityZero-rate SharpeMax DDAvg unhedgedState changes
Research & replication

Paper, replication materials, and dashboard use the same frozen evidence.

The dashboard is a presentation layer for the public research record. Interface changes do not alter the underlying results.

Paper

Canonical public manuscript

ADAA_SSRN_Working_Paper_v1.25_FINAL_FREEZE

Replication

Rights-safe validated package

ADAA_Public_Replication_Package_v1.1.2

Dashboard data

Rights-safe research inputs

19 validated display inputs
Consistency rule. Paper, replication materials, and dashboard report the same frozen statistics. Interface updates are checked against the validated public research inputs before deployment.