Concentration · portefeuille d’exemple

FAANG, et rien d’autre.

L’acronyme qui a défini une décennie d’investissement des particuliers. Cinq entreprises, un thème. Le moteur chiffre à quel point le résultat dépend de ce thème.

Le portefeuille

META20%
AAPL20%
AMZN20%
NFLX20%
GOOGL20%

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

64.3 / 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

5 positions résolues · profil de risque Moyen · moteur 2026-03-07-v5 · trajectoire stable (9% de confiance)

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

Plus grosse position: 20.0% META · limite 30%
Positions effectives: 5.0 sur 5 détenues · cible 8
Secteur principal: 60.0% Services de communication
Bêta pondéré: 1.31 sensibilité au marché
Plan d’exposition: 74% investi 26% de liquidités · équilibrée
Vous êtes à: 100% investi 0% de liquidités

Scores par composante

Diversification74
Équilibre du risque98
Qualité61
Signal68
Tendance36
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 Un secteur domine
Services de communication représente 60.0% de la valeur investie. Quand un secteur pèse autant, un seul thème macro détermine l’essentiel du résultat.
À surveiller Moins de positions effectives qu’il n’y paraît
Le dimensionnement des positions donne à ce portefeuille la concentration d’environ 5.0 positions équipondérées, sous la cible du profil.
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 74.1% investi et 25.9% de liquidités, déployés à un rythme progressif.
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.
À surveiller La confiance prospective est limitée
La confiance de lentille est en moyenne de 56.0%. Considérez les composantes tendance et contexte de marché comme provisoires.
Priorité Positions importantes aux lectures faibles
GOOGL 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
META	Services de communication	20,000	20.0%	CONSERVER	0.60	cœur
AAPL	Technologie	20,000	20.0%	ACHETER	6.20	cœur
AMZN	Consommation cyclique	20,000	20.0%	CONSERVER	-0.98	bêta élevé
NFLX	Services de communication	20,000	20.0%	CONSERVER	0.50	bêta élevé
GOOGL	Services de communication	20,000	20.0%	CONSERVER	-1.80	redressement

Limites des preuves :

Données de qualité du dividende manquantes pour une partie du portefeuille
Faible confiance dans la classification du type d’action 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

{
    "ok": true,
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        "health_score": 64.2999999999999971578290569595992565155029296875,
        "status": "Neutral",
        "status_key": "neutral",
        "count": 5,
        "weighted_score": 0.90000000000000002220446049250313080847263336181640625,
        "max_position_weight": 20,
        "max_position_ticker": "META",
        "effective_positions": 5,
        "weighted_beta": 1.310000000000000053290705182007513940334320068359375,
        "signal_mix": {
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        "trend_alignment_pct": 20,
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        "weighted_dividend_score": 2.779999999999999804600747665972448885440826416015625,
        "top_sector": "Communication Services",
        "top_sector_weight": 60,
        "score_components": {
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            "risk": 98.099999999999994315658113919198513031005859375,
            "quality": 60.60000000000000142108547152020037174224853515625,
            "trend": 36,
            "macro": 0.299999999999999988897769753748434595763683319091796875
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        "trajectory": {
            "direction": "stable",
            "confidence": 9.199999999999999289457264239899814128875732421875,
            "summary": "Mixed signals"
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        "context_alignment": {
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            "coverage_pct": 100,
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        "forward_confidence": 56,
        "exposure_plan": {
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            "target_cash_pct": 25.89999999999999857891452847979962825775146484375,
            "min_invested_pct": 61.2999999999999971578290569595992565155029296875,
            "max_invested_pct": 86.900000000000005684341886080801486968994140625,
            "min_cash_pct": 13.0999999999999996447286321199499070644378662109375,
            "max_cash_pct": 38.7000000000000028421709430404007434844970703125,
            "base_invested_pct": 72,
            "stance": "balanced",
            "deployment_speed": "gradual",
            "confidence": 57.7999999999999971578290569595992565155029296875,
            "market_regime_score": 50,
            "market_regime_code": "",
            "reason_codes": [
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            "components": {
                "market_adjustment": 0,
                "signal_adjustment": 4.96999999999999975131004248396493494510650634765625,
                "trend_adjustment": -2,
                "sell_penalty": 0,
                "concentration_penalty": 0
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        },
        "holding_analysis": [
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                "sector": "Communication Services",
                "profile": "core",
                "lens": "core_quality",
                "classification_confidence": 28,
                "classification_quality": "weak",
                "classification_ambiguous": false,
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                "factor_evidence_confidence": 0,
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                "profile": "core",
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                "classification_reason_codes": [
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                "factor_evidence_confidence": 0,
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                "lens_confidence": 28
            },
            {
                "ticker": "AMZN",
                "weight_pct": 20,
                "score": -0.979999999999999982236431605997495353221893310546875,
                "signal": "HOLD",
                "sector": "Consumer Cyclical",
                "profile": "high_beta",
                "lens": "risk_control",
                "classification_confidence": 78,
                "classification_quality": "usable",
                "classification_ambiguous": false,
                "classification_reason_codes": [
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                "factor_evidence_confidence": 0,
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                "top_factor": null,
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                "lens_confidence": 78
            },
            {
                "ticker": "NFLX",
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                "score": 0.5,
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                "sector": "Communication Services",
                "profile": "high_beta",
                "lens": "risk_control",
                "classification_confidence": 78,
                "classification_quality": "usable",
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                "factor_evidence_confidence": 0,
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                "lens_confidence": 78
            },
            {
                "ticker": "GOOGL",
                "weight_pct": 20,
                "score": -1.8000000000000000444089209850062616169452667236328125,
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                "sector": "Communication Services",
                "profile": "turnaround",
                "lens": "recovery",
                "classification_confidence": 68,
                "classification_quality": "usable",
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                "classification_reason_codes": [
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                "factor_evidence_confidence": 0,
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                "lens_confidence": 68
            }
        ],
        "coverage": {
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            "grade_pct": 100,
            "dividend_pct": 60,
            "trend_pct": 100,
            "macro_pct": 100
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        "diagnostics": {
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            "risk_profile": {
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                "turnaround": 20
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            "lens_mix": {
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                "recovery": 20
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            "classification": {
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                "quality": "weak",
                "low_confidence_weight_pct": 40,
                "ambiguous_weight_pct": 0,
                "weak_count": 2,
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                    "AAPL"
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            "factor_evidence": {
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                "missing_weight_pct": 100,
                "aligned_weight_pct": 0,
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            },
            "sector_context": {
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                "top_sector_score": null,
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            },
            "market_regime": {
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                "weights_pct": {
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                "selected_regime": null
            },
            "data_gaps": [
                "Missing dividend quality data for part of the portfolio",
                "Weak stock-type classification confidence 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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            {
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            {
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            },
            {
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                "tone": "risk"
            },
            {
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        "suggestions": [
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                "tone": "warn",
                "code": "diversify_sector",
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                "weight_pct": 60
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                "code": "increase_diversification",
                "effective_positions": 5
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            {
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            {
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                "code": "expand_factor_coverage",
                "missing_weight_pct": 100
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            {
                "tone": "warn",
                "code": "lower_forward_confidence",
                "lens_confidence": 56
            },
            {
                "tone": "risk",
                "code": "review_weak_positions",
                "tickers": [
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                ]
            }
        ],
        "portfolio_input": {
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        }
    }
}

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