Bêta élevé · portefeuille d’exemple

Un panier innovation.

Croissance disruptive, détenue avec conviction. Voilà à quoi ressemble un portefeuille à bêta élevé pour le moteur : les composantes équilibre du risque et tendance racontent l’essentiel de l’histoire.

Le portefeuille

TSLA16%
COIN13%
ROKU12%
PLTR11%
CRSP9%
SHOP9%
RBLX8%
HOOD8%
DKNG7%
PATH7%

Pondérations comme indiqué, profil de risque Élevé. Renoté automatiquement environ une fois par semaine ; la date et la version du moteur figurent sur le résultat.

56.7 / 100

Score de portefeuille Neutre

Preuves contrastées.

Les composantes se contredisent. Lisez-les séparément plutôt que de vous fier au seul chiffre.

Faible Neutre Bon Solide

10 positions résolues · profil de risque Élevé · moteur 2026-03-07-v5 · trajectoire en détérioration (47% de confiance)

Qu’est-ce qu’un bon score ? → Noter mon propre portefeuille

Plus grosse position: 16.0% TSLA · limite 40%
Positions effectives: 9.2 sur 10 détenues · cible 6
Secteur principal: 34.7% Technologie
Bêta pondéré: 2.07 sensibilité au marché
Plan d’exposition: 80% investi 20% de liquidités · équilibrée
Vous êtes à: 100% investi 0% de liquidités

Scores par composante

Diversification100
Équilibre du risque89
Qualité55
Signal30
Tendance32
Contexte de marché0

Une composante affiche « pas de données » quand le moteur manque de preuves pour elle : c’est signalé, pas deviné.

Quoi regarder en premier

À surveiller Le plan d’exposition privilégie un coussin de liquidités
Compte tenu des preuves actuelles de signal, de tendance et de concentration, le plan vise environ 79.9% investi et 20.1% de liquidités, déployés à un rythme progressif.
À surveiller Le score pondéré des positions est bas
Le score pondéré par la valeur sur l’ensemble des positions est de -0.99. Le mix s’appuie sur des titres aux lectures faibles.
À surveiller Preuves factorielles limitées
Les preuves factorielles manquent pour 100.0% de la valeur investie, ce qui limite le contexte prospectif que le moteur peut soutenir.
Priorité Positions importantes aux lectures faibles
COIN, HOOD pèsent lourd avec des scores de position bas. Ce sont elles qui tirent le plus le score composite vers le bas.

Positions

Ticker	Secteur	Valeur	Poids	Signal	Score	Profil
TSLA	Consommation cyclique	12,000	16.0%	CONSERVER	0.02	bêta élevé
COIN	Services financiers	10,000	13.3%	VENDRE	-3.93	bêta élevé
ROKU	Services de communication	9,000	12.0%	CONSERVER	-1.14	bêta élevé
PLTR	Technologie	8,000	10.7%	ACHETER	2.91	bêta élevé
CRSP	Santé	7,000	9.3%	CONSERVER	-0.43	bêta élevé
SHOP	Technologie	7,000	9.3%	CONSERVER	1.38	bêta élevé
RBLX	Technologie	6,000	8.0%	CONSERVER	0.34	bêta élevé
HOOD	Services financiers	6,000	8.0%	VENDRE	-4.50	bêta élevé
DKNG	Consommation cyclique	5,000	6.7%	VENDRE	-4.11	bêta élevé
PATH	Technologie	5,000	6.7%	CONSERVER	-1.84	redressement

Limites des preuves :

Données de notation manquantes pour une partie du portefeuille
Données de qualité du dividende manquantes pour une partie du portefeuille
Preuves factorielles propres à la lentille manquantes pour une grande partie du portefeuille
La faible confiance dans les preuves factorielles réduit la fiabilité prospective

POST /evaluate

Chaque chiffre ci-dessus provient d’un seul appel à l’API.

Cette page est le JSON ci-dessous, mis en forme. Construisez la même chose dans un tableau de bord, un outil pour conseillers ou un agent IA. Même moteur sur toutes les offres, cinq évaluations gratuites par mois avec une clé API.

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Afficher la réponse brute

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        "status": "Neutral",
        "status_key": "neutral",
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        "trend_alignment_pct": 20,
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        "weighted_dividend_score": null,
        "top_sector": "Technology",
        "top_sector_weight": 34.7000000000000028421709430404007434844970703125,
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        "trajectory": {
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            "confidence": 46.89999999999999857891452847979962825775146484375,
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        "context_alignment": {
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        "forward_confidence": 77.2999999999999971578290569595992565155029296875,
        "exposure_plan": {
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            "stance": "balanced",
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                "factor_evidence_confidence": 0,
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        "diagnostics": {
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                "low_confidence_weight_pct": 0,
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                "weak_count": 0,
                "low_confidence_tickers": []
            },
            "factor_evidence": {
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            "sector_context": {
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            },
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                "weights_pct": {
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                    "US": 0,
                    "GLOBAL": 0
                },
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            },
            "data_gaps": [
                "Missing grade data for part of the portfolio",
                "Missing dividend quality data for part of the portfolio",
                "Missing lens-specific factor evidence for large parts of the portfolio",
                "Weak factor evidence confidence reduces forward-looking reliability"
            ]
        },
        "insights": [
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                "value": -0.9899999999999999911182158029987476766109466552734375,
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                "status_key": "neutral"
            },
            {
                "id": "target_invested_pct",
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                "stance": "balanced",
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                "tone": "warn"
            },
            {
                "id": "effective_positions",
                "value": 9.199999999999999289457264239899814128875732421875,
                "tone": "good"
            },
            {
                "id": "largest_position",
                "value": 16,
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                "tone": "good"
            },
            {
                "id": "top_sector",
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                "sector": "Technology",
                "tone": "good"
            },
            {
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                "hold": 61.2999999999999971578290569595992565155029296875,
                "sell": 28,
                "tone": "warn"
            },
            {
                "id": "portfolio_trajectory",
                "value": "deteriorating",
                "tone": "risk",
                "confidence": 46.89999999999999857891452847979962825775146484375
            },
            {
                "id": "weighted_beta",
                "value": 2.069999999999999840127884453977458178997039794921875,
                "tone": "risk"
            },
            {
                "id": "macro_alignment",
                "value": 0,
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            },
            {
                "id": "lens_confidence",
                "value": 77.2999999999999971578290569595992565155029296875,
                "tone": "warn"
            }
        ],
        "suggestions": [
            {
                "tone": "warn",
                "code": "hold_higher_cash_buffer",
                "cash_pct": 20.10000000000000142108547152020037174224853515625,
                "invested_pct": 79.900000000000005684341886080801486968994140625,
                "deployment_speed": "gradual"
            },
            {
                "tone": "warn",
                "code": "lift_quality_score",
                "weighted_score": -0.9899999999999999911182158029987476766109466552734375
            },
            {
                "tone": "warn",
                "code": "expand_factor_coverage",
                "missing_weight_pct": 100
            },
            {
                "tone": "risk",
                "code": "review_weak_positions",
                "tickers": [
                    "COIN",
                    "HOOD"
                ]
            }
        ],
        "portfolio_input": {
            "cash_balance": 0,
            "holdings_value": 75000,
            "total_value": 75000,
            "cash_pct": 0,
            "invested_pct": 100,
            "missing_tickers": []
        }
    }
}

Les résultats de PORTIQA constituent une analyse quantitative fournie à titre informatif uniquement et ne constituent pas un conseil en investissement. Voir l’avertissement financier.

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