Investment Intelligence / public educational lab

Fictional ranking mechanics. Evidence states attached.

Explore three-horizon stack rankings, multi-asset research coverage, standardized model portfolios and established technical lenses—then build a synthetic scenario brief. Every surface remains visibly separated from live data, proprietary signals and personal account information.

Return to the Research Platform →

Investment Intelligence workspace / synthetic product demonstration

Rank markets. Compare horizons. Build research questions.

Explore the mechanics of a multi-asset research system while every score, assumption and portfolio remains visibly illustrative. The governed universe is kept separate from research-only coverage.

46 fixture rowsAll fixtures · sorted by Three-horizon stack · highest first

01 / STACK RANKINGS

Slow, medium and fast—side by side.

“Stack” is a transparent equal-weight average of three fictional fixture values. It demonstrates ranking behavior only; it is not ChartWright’s proprietary formula, a current signal or a recommendation.

Forty-six-slot product fixture using real symbols only as demonstration identifiers; exact canonical membership is not established by this page. Rank change compares two fixed synthetic cross-sectional snapshots inside the selected universe. Aligned means the maximum horizon value minus the minimum is 14 fixture points or less.
Rank	Instrument	Category	Stack	Slow	Medium	Fast	Δ rank	Agreement
1	XLYSYNTHETIC IDENTIFIER FIXTURE	Sector ETF	91	90	91	92	↑ 2	Aligned
2	CVXSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	84	90	84	78	↑ 14	Aligned
3	HONSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	84	90	84	78	↑ 14	Aligned
4	NKESYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	80	72	80	88	↓ 3	Divergent
5	IWMSYNTHETIC IDENTIFIER FIXTURE	Index anchor	78	63	78	93	↑ 32	Divergent
6	JNJSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	75	81	75	69	↑ 21	Aligned
7	NVDASYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	74	45	95	82	↑ 12	Divergent
8	XLUSYNTHETIC IDENTIFIER FIXTURE	Sector ETF	74	45	95	82	↑ 17	Divergent
9	CRMSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	73	72	73	74	↑ 4	Aligned
10	XLVSYNTHETIC IDENTIFIER FIXTURE	Sector ETF	73	72	94	53	↑ 4	Divergent
11	MMMSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	71	63	71	79	↓ 7	Divergent
12	HDSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	70	90	70	50	↓ 10	Divergent
13	MRKSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	69	54	69	84	↑ 31	Divergent
14	XLFSYNTHETIC IDENTIFIER FIXTURE	Sector ETF	68	81	47	76	↑ 24	Divergent
15	CATSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	67	45	67	89	↑ 17	Divergent
16	MCDSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	67	45	88	68	↑ 18	Divergent
17	PGSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	67	45	88	68	↑ 18	Divergent
18	AMZNSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	64	63	85	44	↑ 8	Divergent
19	CSCOSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	63	90	63	36	↓ 4	Divergent
20	XLKSYNTHETIC IDENTIFIER FIXTURE	Sector ETF	63	90	42	57	↓ 2	Divergent
21	AMGNSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	62	54	41	91	↓ 12	Divergent
22	JPMSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	62	54	83	49	↓ 12	Divergent
23	MDYSYNTHETIC IDENTIFIER FIXTURE	Index anchor	62	54	41	91	↓ 12	Divergent
24	UNHSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	62	54	83	49	↓ 12	Divergent
25	DISSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	61	81	61	41	↓ 19	Divergent
26	AXPSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	58	36	79	59	↑ 13	Divergent
27	DIASYNTHETIC IDENTIFIER FIXTURE	Index anchor	58	36	79	59	↑ 13	Divergent
28	TRVSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	58	36	79	59	↑ 13	Divergent
29	WMTSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	58	36	58	80	↑ 13	Divergent
30	IBMSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	57	63	57	51	↑ 6	Aligned
31	BASYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	55	54	76	35	—	Divergent
32	QQQSYNTHETIC IDENTIFIER FIXTURE	Index anchor	53	45	74	40	↓ 12	Divergent
33	SHWSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	53	45	74	40	↓ 12	Divergent
34	SPYSYNTHETIC IDENTIFIER FIXTURE	Index anchor	53	45	53	61	↓ 12	Divergent
35	VSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	53	45	53	61	↓ 12	Divergent
36	XLRESYNTHETIC IDENTIFIER FIXTURE	Sector ETF	53	45	53	61	↓ 12	Divergent
37	KOSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	51	36	72	45	↓ 30	Divergent
38	XLBSYNTHETIC IDENTIFIER FIXTURE	Sector ETF	51	36	51	66	↓ 30	Divergent
39	XLCSYNTHETIC IDENTIFIER FIXTURE	Sector ETF	50	63	50	37	↓ 34	Divergent
40	MSFTSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	48	54	48	42	↑ 5	Aligned
41	XLESYNTHETIC IDENTIFIER FIXTURE	Sector ETF	48	54	48	42	↑ 5	Aligned
42	GSSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	46	45	46	47	↓ 9	Aligned
43	AAPLSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	44	36	44	52	↓ 15	Divergent
44	VZSYNTHETIC IDENTIFIER FIXTURE	Dow 30 security	44	36	44	52	↓ 15	Divergent
45	XLISYNTHETIC IDENTIFIER FIXTURE	Sector ETF	44	36	44	52	↓ 15	Divergent
46	XLPSYNTHETIC IDENTIFIER FIXTURE	Sector ETF	37	36	37	38	↓ 3	Aligned

Coverage boundary: controlling sources record a 46-instrument structure, but this public demonstration does not bind the exact canonical membership bytes. The symbols and values above are deterministic fictional fixtures—not membership evidence or production scores. Missing, stale or unauthorized provider data must show UNAVAILABLE rather than inherit a fixture.

02 / MULTI-ASSET COVERAGE

A larger research map without authority drift.

Additional categories are architecturally defined as research lanes, but they do not inherit canonical signal status. International exposure is eligible only through a vehicle listed on a U.S. exchange.

RESEARCH-ONLY / NONCANONICAL

Fixed income

U.S. Treasury, aggregate, investment-grade and high-yield ETF categories

U.S.-listed vehicles required

RESEARCH-ONLY / NONCANONICAL

International equity

Developed and emerging-market ETF categories

U.S.-listed vehicles required

RESEARCH-ONLY / NONCANONICAL

Real assets

U.S.-listed real-estate, commodity and gold vehicle categories

Research-only / noncanonical

RESEARCH-ONLY / NONCANONICAL

Active strategies

U.S.-listed active ETF and mutual-fund research categories

Manager and share-class diligence required

03 / MODEL PORTFOLIOS

Standardized allocation archetypes.

Compare passive-core and bounded active-overlay structures without entering holdings, balances, objectives, taxes or risk-tolerance information. These are educational models, not portfolios selected for a person.

Expected-return assumption5.0%–7.0%Synthetic nominal annual range · not a forecast · CW-MAIS-SYNTHETIC-V1 · no external source or vintage · gross of hypothetical vehicle expenses

Volatility assumption8%–12%Synthetic annual range · assumed uncertainty band · CW-MAIS-SYNTHETIC-V1 · no external source or vintage · gross of hypothetical vehicle expenses

Weighted expense assumption0.07%Transparent weighted arithmetic; hypothetical cost inputs, not fund data

Benchmark60/40-style policy benchmark — illustrativeNo live index level or licensed history displayed

U.S. equity42% weight

0.05% assumed expense · U.S.-listed vehicle category where applicable

International equity13% weight

0.09% assumed expense · U.S.-listed vehicle category where applicable

Fixed income35% weight

0.06% assumed expense · U.S.-listed vehicle category where applicable

Real assets7% weight

0.12% assumed expense · U.S.-listed vehicle category where applicable

Cash equivalents3% weight

0.10% assumed expense · U.S.-listed vehicle category where applicable

Assumption and performance-data contract

Expected returns must remain ranges with horizon, nominal/real basis, source vintage, fee basis and uncertainty. Historical figures remain unavailable until exact source, display rights, total-versus-price return basis, dividends, fees, corporate actions, benchmark and as-of time are bound.

04 / TECHNICAL LENSES

Widely used technical-indicator families.

Indicator families can enrich a research brief when parameters, timeframe, price adjustment, warm-up behavior and evidence state travel with the output.

Trend