Einkommen · Beispielportfolio

Beispielportfolio aus Dividendenaktien, bewertet

Ein festes, gleichgewichtetes Beispiel, veröffentlicht am 17. September 2026. Die Dividendenhistorien unterscheiden sich; AT&T und 3M haben ihre Dividenden gesenkt. Dies ist keine Liste aktueller Dividenden-Aristokraten und keine Aussage über ununterbrochenes Dividendenwachstum.

AT&T (2022) 3M (2024)

Das Portfolio

JNJ10%
PG10%
KO10%
PEP10%
MCD10%
XOM10%
CVX10%
ABBV10%
MMM10%
T10%

Gewichte wie angezeigt, Risikoprofil Niedrig. Etwa wöchentlich automatisch neu bewertet; Datum und Engine-Version stehen im Ergebnis.

68.8 / 100

Portfolio-Score Gut

Solide, mit konkreten Punkten zum Nachziehen.

Die Struktur trägt. Ein oder zwei Komponenten drücken den Score, und sie werden unten in Prioritätsreihenfolge benannt.

Schwach Neutral Gut Stark

10 Positionen aufgelöst · Risikoprofil Niedrig · Engine 2026-03-07-v5 · Trajektorie stabil (4% Konfidenz)

Was ist ein guter Score? → Eigenes Portfolio bewerten

Größte Position: 10.0% JNJ · Limit 20%
Effektive Positionen: 10.0 von 10 gehalten · Ziel 10
Größter Sektor: 30.0% Basiskonsum
Gewichtetes Beta: 0.42 Marktsensitivität
Exposure-Plan: 58% investiert 42% Cash · ausgewogen
Sie liegen bei: 100% investiert 0% Cash

Komponenten-Scores

Diversifikation100
Risikobalance88
Qualität60
Signal69
Trend41
Marktkontext0

Eine Komponente zeigt „keine Daten“, wenn der Engine die Evidenz dafür fehlt – das wird gemeldet, nicht geraten.

Was zuerst anzusehen ist

Beobachten Ein Sektor dominiert
Basiskonsum macht 30.0% des investierten Werts aus. Trägt ein Sektor so viel Gewicht, bestimmt ein einziges Makrothema den Großteil des Ergebnisses.
Priorität Der Exposure-Plan bevorzugt einen Cash-Puffer
Angesichts der aktuellen Signal-, Trend- und Konzentrationsevidenz zielt der Plan auf etwa 58.1% investiert und 41.9% Cash; Aufbautempo: schrittweise.
Beobachten Begrenzte Faktorevidenz
Für 100.0% des investierten Werts fehlt Faktorevidenz, was den vorausschauenden Kontext einschränkt, den die Engine stützen kann.
Priorität Größere Positionen mit schwachen Bewertungen
T, PEP, MCD tragen erhebliches Gewicht bei niedrigen Positions-Scores. Sie belasten den Gesamtscore am stärksten.

Positionen

Ticker	Sektor	Wert	Gewicht	Signal	Score	Profil
JNJ	Gesundheit	10,000	10.0%	KAUFEN	2.66	defensiv
PG	Basiskonsum	10,000	10.0%	HALTEN	0.00	Kern
KO	Basiskonsum	10,000	10.0%	KAUFEN	5.80	Kern
PEP	Basiskonsum	10,000	10.0%	HALTEN	-1.92	Turnaround
MCD	Zyklischer Konsum	10,000	10.0%	HALTEN	-1.67	Turnaround
XOM	Energie	10,000	10.0%	HALTEN	0.00	zyklisch
CVX	Energie	10,000	10.0%	HALTEN	0.00	zyklisch
ABBV	Gesundheit	10,000	10.0%	KAUFEN	7.03	defensiv
MMM	Industrie	10,000	10.0%	HALTEN	-0.39	zyklisch
T	Kommunikationsdienste	10,000	10.0%	HALTEN	-1.96	Einkommen

Grenzen der Evidenz:

Bewertungsdaten fehlen für einen Teil des Portfolios
Lens-spezifische Faktorevidenz fehlt für große Teile des Portfolios
Geringe Konfidenz der Faktorevidenz mindert die vorausschauende Aussagekraft

POST /evaluate

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Rohantwort anzeigen

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            {
                "id": "effective_positions",
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            {
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                "ticker": "JNJ",
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            {
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                "sector": "Consumer Defensive",
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            {
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            {
                "id": "portfolio_trajectory",
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            {
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            {
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        ],
        "suggestions": [
            {
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                "code": "diversify_sector",
                "sector": "Consumer Defensive",
                "weight_pct": 30
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            {
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                "code": "expand_factor_coverage",
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                "code": "review_weak_positions",
                "tickers": [
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        "portfolio_input": {
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    }
}

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