Concentración · cartera de ejemplo

Las Magnificent 7 como cartera.

Siete de las mayores empresas del mundo, en partes iguales. Parece diversificada porque son siete nombres. El motor mide lo que los siete tienen en común.

La cartera

AAPL14%
MSFT14%
GOOGL14%
AMZN14%
NVDA14%
META14%
TSLA14%

Pesos como se muestran, perfil de riesgo Medio. Se vuelve a puntuar automáticamente cada semana aproximadamente; la fecha y la versión del motor figuran en el resultado.

63.0 / 100

Puntuación de cartera Neutral

Evidencia mixta.

Los componentes se contradicen. Léelos por separado en lugar de fiarte del número único.

Débil Neutral Buena Fuerte

7 posiciones resueltas · perfil de riesgo Medio · motor 2026-03-07-v5 · trayectoria empeorando (27% de confianza)

¿Qué es una buena puntuación? → Puntuar mi propia cartera

Mayor posición: 14.3% AAPL · límite 30%
Posiciones efectivas: 7.0 de 7 en cartera · objetivo 8
Sector principal: 42.9% Tecnología
Beta ponderada: 1.45 sensibilidad al mercado
Plan de exposición: 71% invertido 30% efectivo · equilibrada
Estás en: 100% invertido 0% efectivo

Puntuaciones por componente

Diversificación94
Equilibrio de riesgo93
Calidad61
Señal53
Tendencia31
Contexto de mercado0

Un componente aparece como «sin datos» cuando el motor carece de evidencia para él; se informa, no se adivina.

Qué mirar primero

Vigilar Un sector domina
Tecnología es el 42.9% del valor invertido. Cuando un sector pesa tanto, un solo tema macro determina la mayor parte del resultado.
Prioridad El plan de exposición favorece un colchón de efectivo
Con la evidencia actual de señal, tendencia y concentración, el plan apunta a un 70.5% invertido y un 29.5% en efectivo, desplegado a ritmo gradual.
Vigilar La puntuación ponderada de las posiciones es baja
La puntuación ponderada por valor de las posiciones es 0.13. La mezcla se apoya en valores con lecturas débiles.
Vigilar Evidencia factorial limitada
Falta evidencia factorial para el 100.0% del valor invertido, lo que limita el contexto prospectivo que el motor puede sostener.
Vigilar La confianza prospectiva es limitada
La confianza de lente promedia 55.1%. Trata los componentes de tendencia y contexto de mercado como provisionales.
Prioridad Posiciones grandes con lecturas débiles
NVDA, GOOGL tienen un peso relevante y puntuaciones bajas. Son el mayor lastre para la puntuación compuesta.

Posiciones

Ticker	Sector	Valor	Peso	Señal	Puntuación	Perfil
AAPL	Tecnología	10,000	14.3%	COMPRAR	6.20	núcleo
MSFT	Tecnología	10,000	14.3%	MANTENER	1.36	núcleo
GOOGL	Servicios de comunicación	10,000	14.3%	MANTENER	-1.80	recuperación
AMZN	Consumo cíclico	10,000	14.3%	MANTENER	-0.98	beta alta
NVDA	Tecnología	10,000	14.3%	VENDER	-4.47	beta alta
META	Servicios de comunicación	10,000	14.3%	MANTENER	0.60	núcleo
TSLA	Consumo cíclico	10,000	14.3%	MANTENER	0.02	beta alta

Límites de la evidencia:

Faltan datos de calidad del dividendo para parte de la cartera
Baja confianza en la clasificación del tipo de acción para parte de la cartera
Falta evidencia factorial específica de la lente para gran parte de la cartera
La baja confianza en la evidencia factorial reduce la fiabilidad prospectiva

POST /evaluate

Cada número de arriba procede de una sola llamada a la API.

Esta página es el JSON de abajo, renderizado. Construye lo mismo en un panel, una herramienta para asesores o un agente de IA. El mismo motor en todos los planes, cinco evaluaciones gratis al mes con una clave de API.

Obtener una clave API gratuita Referencia de la API →

Mostrar respuesta sin procesar

{
    "ok": true,
    "evaluation": {
        "engine_version": "2026-03-07-v5",
        "score": 63,
        "health_score": 63,
        "status": "Neutral",
        "status_key": "neutral",
        "count": 7,
        "weighted_score": 0.13000000000000000444089209850062616169452667236328125,
        "max_position_weight": 14.28999999999999914734871708787977695465087890625,
        "max_position_ticker": "AAPL",
        "effective_positions": 7,
        "weighted_beta": 1.4499999999999999555910790149937383830547332763671875,
        "signal_mix": {
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        "trend_alignment_pct": 14.300000000000000710542735760100185871124267578125,
        "trend_negative_pct": 42.89999999999999857891452847979962825775146484375,
        "weighted_grade_score": 4.5,
        "weighted_dividend_score": 3.470000000000000195399252334027551114559173583984375,
        "top_sector": "Technology",
        "top_sector_weight": 42.89999999999999857891452847979962825775146484375,
        "score_components": {
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            "diversification": 93.900000000000005684341886080801486968994140625,
            "risk": 93.2000000000000028421709430404007434844970703125,
            "quality": 60.7999999999999971578290569595992565155029296875,
            "trend": 31.39999999999999857891452847979962825775146484375,
            "macro": 0.200000000000000011102230246251565404236316680908203125
        },
        "trajectory": {
            "direction": "deteriorating",
            "confidence": 27.199999999999999289457264239899814128875732421875,
            "summary": "Negative signal concentration or weakening trend"
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        "context_alignment": {
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            "coverage_pct": 100,
            "matched_weight_pct": 100,
            "top_sector_view": null
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        "forward_confidence": 55.10000000000000142108547152020037174224853515625,
        "exposure_plan": {
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            "target_cash_pct": 29.5,
            "min_invested_pct": 57.60000000000000142108547152020037174224853515625,
            "max_invested_pct": 83.400000000000005684341886080801486968994140625,
            "min_cash_pct": 16.60000000000000142108547152020037174224853515625,
            "max_cash_pct": 42.39999999999999857891452847979962825775146484375,
            "base_invested_pct": 72,
            "stance": "balanced",
            "deployment_speed": "gradual",
            "confidence": 57.10000000000000142108547152020037174224853515625,
            "market_regime_score": 50,
            "market_regime_code": "",
            "reason_codes": [
                "negative_trend_pressure",
                "low_forward_confidence"
            ],
            "components": {
                "market_adjustment": 0,
                "signal_adjustment": 0.729999999999999982236431605997495353221893310546875,
                "trend_adjustment": -2.859999999999999875655021241982467472553253173828125,
                "sell_penalty": 0,
                "concentration_penalty": 0
            }
        },
        "holding_analysis": [
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                "weight_pct": 14.300000000000000710542735760100185871124267578125,
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                "signal": "BUY",
                "sector": "Technology",
                "profile": "core",
                "lens": "core_quality",
                "classification_confidence": 28,
                "classification_quality": "weak",
                "classification_ambiguous": false,
                "classification_reason_codes": [
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                "factor_evidence_confidence": 0,
                "factor_evidence_score": null,
                "factor_match_count": 0,
                "factor_required_count": 5,
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                "factor_matched_factors": [],
                "top_factor": null,
                "top_factor_direction": null,
                "lens_confidence": 28
            },
            {
                "ticker": "MSFT",
                "weight_pct": 14.300000000000000710542735760100185871124267578125,
                "score": 1.3600000000000000976996261670137755572795867919921875,
                "signal": "HOLD",
                "sector": "Technology",
                "profile": "core",
                "lens": "core_quality",
                "classification_confidence": 28,
                "classification_quality": "weak",
                "classification_ambiguous": false,
                "classification_reason_codes": [
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                "factor_evidence_confidence": 0,
                "factor_evidence_score": null,
                "factor_match_count": 0,
                "factor_required_count": 5,
                "factor_has_sufficient_evidence": false,
                "factor_matched_factors": [],
                "top_factor": null,
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                "lens_confidence": 28
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            {
                "ticker": "GOOGL",
                "weight_pct": 14.300000000000000710542735760100185871124267578125,
                "score": -1.8000000000000000444089209850062616169452667236328125,
                "signal": "HOLD",
                "sector": "Communication Services",
                "profile": "turnaround",
                "lens": "recovery",
                "classification_confidence": 68,
                "classification_quality": "usable",
                "classification_ambiguous": false,
                "classification_reason_codes": [
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                "factor_evidence_confidence": 0,
                "factor_evidence_score": null,
                "factor_match_count": 0,
                "factor_required_count": 5,
                "factor_has_sufficient_evidence": false,
                "factor_matched_factors": [],
                "top_factor": null,
                "top_factor_direction": null,
                "lens_confidence": 68
            },
            {
                "ticker": "AMZN",
                "weight_pct": 14.300000000000000710542735760100185871124267578125,
                "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": [
                    "high_beta"
                ],
                "factor_evidence_confidence": 0,
                "factor_evidence_score": null,
                "factor_match_count": 0,
                "factor_required_count": 5,
                "factor_has_sufficient_evidence": false,
                "factor_matched_factors": [],
                "top_factor": null,
                "top_factor_direction": null,
                "lens_confidence": 78
            },
            {
                "ticker": "NVDA",
                "weight_pct": 14.300000000000000710542735760100185871124267578125,
                "score": -4.46999999999999975131004248396493494510650634765625,
                "signal": "SELL",
                "sector": "Technology",
                "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,
                "factor_evidence_score": null,
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                "lens_confidence": 78
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            {
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                "sector": "Communication Services",
                "profile": "core",
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                "classification_confidence": 28,
                "classification_quality": "weak",
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                "classification_reason_codes": [
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                "factor_evidence_confidence": 0,
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                "factor_match_count": 0,
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                "factor_matched_factors": [],
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            },
            {
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                "classification_quality": "usable",
                "classification_ambiguous": false,
                "classification_reason_codes": [
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                "factor_evidence_confidence": 0,
                "factor_evidence_score": null,
                "factor_match_count": 0,
                "factor_required_count": 5,
                "factor_has_sufficient_evidence": false,
                "factor_matched_factors": [],
                "top_factor": null,
                "top_factor_direction": null,
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        ],
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            "grade_pct": 100,
            "dividend_pct": 71.400000000000005684341886080801486968994140625,
            "trend_pct": 100,
            "macro_pct": 100
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        "diagnostics": {
            "risk_level": "medium",
            "risk_profile": {
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                "target_sector_weight": 0.40000000000000002220446049250313080847263336181640625,
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                "target_effective_positions": 8,
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                "low_confidence_weight_pct": 42.89999999999999857891452847979962825775146484375,
                "ambiguous_weight_pct": 0,
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                "low_confidence_tickers": [
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                    "MSFT",
                    "META"
                ]
            },
            "factor_evidence": {
                "avg_confidence": 0,
                "quality": "weak",
                "low_confidence_weight_pct": 100,
                "missing_weight_pct": 100,
                "aligned_weight_pct": 0,
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            },
            "sector_context": {
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                "top_sector": "Technology",
                "top_sector_score": null,
                "top_sector_detail": null
            },
            "market_regime": {
                "selected_code": "",
                "mode": "missing",
                "score": null,
                "weights_pct": {
                    "OSL": 0,
                    "US": 0,
                    "GLOBAL": 0
                },
                "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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                "value": 0.13000000000000000444089209850062616169452667236328125,
                "tone": "risk",
                "status_key": "neutral"
            },
            {
                "id": "target_invested_pct",
                "value": 70.5,
                "cash_pct": 29.5,
                "stance": "balanced",
                "confidence": 57.10000000000000142108547152020037174224853515625,
                "tone": "risk"
            },
            {
                "id": "effective_positions",
                "value": 7,
                "tone": "warn"
            },
            {
                "id": "largest_position",
                "value": 14.300000000000000710542735760100185871124267578125,
                "ticker": "AAPL",
                "tone": "good"
            },
            {
                "id": "top_sector",
                "value": 42.89999999999999857891452847979962825775146484375,
                "sector": "Technology",
                "tone": "warn"
            },
            {
                "id": "signal_mix",
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                "hold": 71.400000000000005684341886080801486968994140625,
                "sell": 14.300000000000000710542735760100185871124267578125,
                "tone": "good"
            },
            {
                "id": "portfolio_trajectory",
                "value": "deteriorating",
                "tone": "risk",
                "confidence": 27.199999999999999289457264239899814128875732421875
            },
            {
                "id": "weighted_beta",
                "value": 1.4499999999999999555910790149937383830547332763671875,
                "tone": "risk"
            },
            {
                "id": "macro_alignment",
                "value": 0.200000000000000011102230246251565404236316680908203125,
                "tone": "risk"
            },
            {
                "id": "lens_confidence",
                "value": 55.10000000000000142108547152020037174224853515625,
                "tone": "risk"
            }
        ],
        "suggestions": [
            {
                "tone": "warn",
                "code": "diversify_sector",
                "sector": "Technology",
                "weight_pct": 42.89999999999999857891452847979962825775146484375
            },
            {
                "tone": "risk",
                "code": "hold_higher_cash_buffer",
                "cash_pct": 29.5,
                "invested_pct": 70.5,
                "deployment_speed": "gradual"
            },
            {
                "tone": "warn",
                "code": "lift_quality_score",
                "weighted_score": 0.13000000000000000444089209850062616169452667236328125
            },
            {
                "tone": "warn",
                "code": "expand_factor_coverage",
                "missing_weight_pct": 100
            },
            {
                "tone": "warn",
                "code": "lower_forward_confidence",
                "lens_confidence": 55.10000000000000142108547152020037174224853515625
            },
            {
                "tone": "risk",
                "code": "review_weak_positions",
                "tickers": [
                    "NVDA",
                    "GOOGL"
                ]
            }
        ],
        "portfolio_input": {
            "cash_balance": 0,
            "holdings_value": 70000,
            "total_value": 70000,
            "cash_pct": 0,
            "invested_pct": 100,
            "missing_tickers": []
        }
    }
}

Los resultados de PORTIQA son análisis cuantitativos con fines informativos únicamente y no constituyen asesoramiento de inversión. Consulta el aviso financiero.

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Qué mirar primero

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