Concentration · example portfolio

The Magnificent 7 as a portfolio.

Seven of the largest companies in the world, held in equal amounts. It looks diversified because there are seven names. The engine measures what the seven names have in common.

The portfolio

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

Weights as shown, Medium risk profile. Re-scored automatically about once a week; the date and engine version are on the result.

63.0 / 100

Portfolio score Neutral

Mixed evidence.

The components disagree with each other. Read them separately rather than trusting the single number.

Weak Neutral Good Strong

7 holdings resolved · Medium risk profile · engine 2026-03-07-v5 · trajectory deteriorating (27% confidence)

What is a good score? → Score your own portfolio

Largest position: 14.3% AAPL · limit 30%
Effective positions: 7.0 of 7 held · target 8
Top sector: 42.9% Technology
Weighted beta: 1.45 market sensitivity
Exposure plan: 71% invested 30% cash · balanced
You are at: 100% invested 0% cash

Component scores

Diversification94
Risk balance93
Quality61
Signal53
Trend31
Market context0

A component is “no data” when the engine lacks evidence for it, which is reported rather than guessed.

What to look at first

Watch One sector dominates
Technology is 42.9% of invested value. When one sector carries that much weight, a single macro theme drives most of the outcome.
Priority The exposure plan favours a cash buffer
Given current signal, trend and concentration evidence, the plan targets about 70.5% invested and 29.5% cash, deployed at a gradual pace.
Watch Weighted holding score is low
The value-weighted score across holdings is 0.13. The mix leans on names with weak readings.
Watch Limited factor evidence
Factor evidence is missing for 100.0% of invested value, which limits how much forward-looking context the engine can support.
Watch Forward-looking confidence is limited
Lens confidence averages 55.1%. Treat the trend and market-context components as provisional.
Priority Sizeable positions with weak readings
NVDA, GOOGL carry material weight and low holding scores. They are the largest drag on the composite.

Holdings

Ticker	Sector	Value	Weight	Signal	Score	Profile
AAPL	Technology	10,000	14.3%	BUY	6.20	core
MSFT	Technology	10,000	14.3%	HOLD	1.36	core
GOOGL	Communication Services	10,000	14.3%	HOLD	-1.80	turnaround
AMZN	Consumer Cyclical	10,000	14.3%	HOLD	-0.98	high beta
NVDA	Technology	10,000	14.3%	SELL	-4.47	high beta
META	Communication Services	10,000	14.3%	HOLD	0.60	core
TSLA	Consumer Cyclical	10,000	14.3%	HOLD	0.02	high beta

Evidence limits:

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

POST /evaluate

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{
    "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,
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            "hold": 71.400000000000005684341886080801486968994140625,
            "sell": 14.300000000000000710542735760100185871124267578125
        },
        "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"
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            "components": {
                "market_adjustment": 0,
                "signal_adjustment": 0.729999999999999982236431605997495353221893310546875,
                "trend_adjustment": -2.859999999999999875655021241982467472553253173828125,
                "sell_penalty": 0,
                "concentration_penalty": 0
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        },
        "holding_analysis": [
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                "ticker": "AAPL",
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                "signal": "BUY",
                "sector": "Technology",
                "profile": "core",
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                "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,
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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": [
                    "fallback_core"
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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": [],
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                "top_factor_direction": null,
                "lens_confidence": 28
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            {
                "ticker": "GOOGL",
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                "score": -1.8000000000000000444089209850062616169452667236328125,
                "signal": "HOLD",
                "sector": "Communication Services",
                "profile": "turnaround",
                "lens": "recovery",
                "classification_confidence": 68,
                "classification_quality": "usable",
                "classification_ambiguous": false,
                "classification_reason_codes": [
                    "negative_medium_score"
                ],
                "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",
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                "classification_reason_codes": [
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                "factor_evidence_confidence": 0,
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                "lens_confidence": 78
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                "ticker": "META",
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                "score": 0.59999999999999997779553950749686919152736663818359375,
                "signal": "HOLD",
                "sector": "Communication Services",
                "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,
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                "factor_matched_factors": [],
                "top_factor": null,
                "top_factor_direction": null,
                "lens_confidence": 28
            },
            {
                "ticker": "TSLA",
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                "score": 0.0200000000000000004163336342344337026588618755340576171875,
                "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
            }
        ],
        "coverage": {
            "beta_pct": 100,
            "grade_pct": 100,
            "dividend_pct": 71.400000000000005684341886080801486968994140625,
            "trend_pct": 100,
            "macro_pct": 100
        },
        "diagnostics": {
            "risk_level": "medium",
            "risk_profile": {
                "target_max_weight": 0.299999999999999988897769753748434595763683319091796875,
                "target_sector_weight": 0.40000000000000002220446049250313080847263336181640625,
                "target_sell_weight": 0.200000000000000011102230246251565404236316680908203125,
                "target_effective_positions": 8,
                "beta_band_min": 0.75,
                "beta_band_max": 1.25
            },
            "profile_mix": {
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                "high_beta": 42.89999999999999857891452847979962825775146484375,
                "turnaround": 14.300000000000000710542735760100185871124267578125
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            "lens_mix": {
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                "quality": "weak",
                "low_confidence_weight_pct": 42.89999999999999857891452847979962825775146484375,
                "ambiguous_weight_pct": 0,
                "weak_count": 3,
                "low_confidence_tickers": [
                    "AAPL",
                    "MSFT",
                    "META"
                ]
            },
            "factor_evidence": {
                "avg_confidence": 0,
                "quality": "weak",
                "low_confidence_weight_pct": 100,
                "missing_weight_pct": 100,
                "aligned_weight_pct": 0,
                "avg_lens_confidence": 55.10000000000000142108547152020037174224853515625
            },
            "sector_context": {
                "scores": [],
                "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": [
            {
                "id": "weighted_score",
                "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",
                "buy": 14.300000000000000710542735760100185871124267578125,
                "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": []
        }
    }
}

PORTIQA outputs are quantitative analysis for informational purposes only and do not constitute investment advice. See the financial disclaimer.

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