Norway · example portfolio

A typical Oslo Børs portfolio.

The names that show up in most Norwegian retail portfolios. Energy, banking, seafood and industrials, all listed in Oslo. The engine resolves Oslo Børs tickers directly, so this is scored the same way as any US basket.

The portfolio

EQNR.OL10%
DNB.OL10%
NHY.OL10%
MOWI.OL10%
TEL.OL10%
KOG.OL10%
AKRBP.OL10%
YAR.OL10%
ORK.OL10%
STB.OL10%

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

60.3 / 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

10 holdings resolved · Medium risk profile · engine 2026-03-07-v5 · trajectory stable (11% confidence)

What is a good score? → Score your own portfolio

Largest position: 10.0% EQNR.OL · limit 30%
Effective positions: 10.0 of 10 held · target 8
Top sector: 20.0% Energy
Weighted beta: 0.25 market sensitivity
Exposure plan: 70% invested 30% cash · balanced
You are at: 100% invested 0% cash

Component scores

Diversification100
Risk balance65
Quality51
Signal56
Trend46
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

Priority Material weight in negative-signal holdings
30.0% of invested value sits in holdings with a negative signal reading, above what the profile tolerates.
Priority The exposure plan favours a cash buffer
Given current signal, trend and concentration evidence, the plan targets about 70.0% invested and 30.0% cash, deployed at a gradual pace.
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 50.8%. Treat the trend and market-context components as provisional.
Priority Sizeable positions with weak readings
NHY.OL, YAR.OL, TEL.OL carry material weight and low holding scores. They are the largest drag on the composite.

Holdings

Ticker	Sector	Value	Weight	Signal	Score	Profile
EQNR.OL	Energy	10,000	10.0%	HOLD	0.00	cyclical
DNB.OL	Financial Services	10,000	10.0%	HOLD	0.01	core
NHY.OL	Basic Materials	10,000	10.0%	SELL	-4.31	turnaround
MOWI.OL	Consumer Defensive	10,000	10.0%	BUY	4.02	core
TEL.OL	Communication Services	10,000	10.0%	SELL	-2.39	turnaround
KOG.OL	Industrials	10,000	10.0%	BUY	2.29	cyclical
AKRBP.OL	Energy	10,000	10.0%	BUY	5.33	cyclical
YAR.OL	Basic Materials	10,000	10.0%	SELL	-2.95	turnaround
ORK.OL	Consumer Defensive	10,000	10.0%	HOLD	1.85	core
STB.OL	Financial Services	10,000	10.0%	HOLD	-0.83	core

Evidence limits:

Missing grade 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": 60.2999999999999971578290569595992565155029296875,
        "health_score": 60.2999999999999971578290569595992565155029296875,
        "status": "Neutral",
        "status_key": "neutral",
        "count": 10,
        "weighted_score": 0.299999999999999988897769753748434595763683319091796875,
        "max_position_weight": 10,
        "max_position_ticker": "EQNR.OL",
        "effective_positions": 10,
        "weighted_beta": 0.25,
        "signal_mix": {
            "buy": 30,
            "hold": 40,
            "sell": 30
        },
        "trend_alignment_pct": 40,
        "trend_negative_pct": 40,
        "weighted_grade_score": 3.79999999999999982236431605997495353221893310546875,
        "weighted_dividend_score": 3.060000000000000053290705182007513940334320068359375,
        "top_sector": "Energy",
        "top_sector_weight": 20,
        "score_components": {
            "signal": 56,
            "diversification": 100,
            "risk": 64.599999999999994315658113919198513031005859375,
            "quality": 50.60000000000000142108547152020037174224853515625,
            "trend": 46,
            "macro": 0.1000000000000000055511151231257827021181583404541015625
        },
        "trajectory": {
            "direction": "stable",
            "confidence": 11,
            "summary": "Mixed signals"
        },
        "context_alignment": {
            "score": 0.1000000000000000055511151231257827021181583404541015625,
            "coverage_pct": 100,
            "matched_weight_pct": 100,
            "top_sector_view": null
        },
        "forward_confidence": 50.7999999999999971578290569595992565155029296875,
        "exposure_plan": {
            "target_invested_pct": 70,
            "target_cash_pct": 30,
            "min_invested_pct": 56.89999999999999857891452847979962825775146484375,
            "max_invested_pct": 83.099999999999994315658113919198513031005859375,
            "min_cash_pct": 16.89999999999999857891452847979962825775146484375,
            "max_cash_pct": 43.10000000000000142108547152020037174224853515625,
            "base_invested_pct": 72,
            "stance": "balanced",
            "deployment_speed": "gradual",
            "confidence": 54.2000000000000028421709430404007434844970703125,
            "market_regime_score": 50,
            "market_regime_code": "",
            "reason_codes": [
                "negative_trend_pressure",
                "high_sell_weight",
                "low_forward_confidence"
            ],
            "components": {
                "market_adjustment": 0,
                "signal_adjustment": 1.6599999999999999200639422269887290894985198974609375,
                "trend_adjustment": 0,
                "sell_penalty": 4.5,
                "concentration_penalty": 0
            }
        },
        "holding_analysis": [
            {
                "ticker": "EQNR.OL",
                "weight_pct": 10,
                "score": 0,
                "signal": "HOLD",
                "sector": "Energy",
                "profile": "cyclical",
                "lens": "macro_cyclical",
                "classification_confidence": 64,
                "classification_quality": "usable",
                "classification_ambiguous": false,
                "classification_reason_codes": [
                    "cyclical_sector"
                ],
                "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": 64
            },
            {
                "ticker": "DNB.OL",
                "weight_pct": 10,
                "score": 0.01000000000000000020816681711721685132943093776702880859375,
                "signal": "HOLD",
                "sector": "Financial Services",
                "profile": "core",
                "lens": "core_quality",
                "classification_confidence": 28,
                "classification_quality": "weak",
                "classification_ambiguous": false,
                "classification_reason_codes": [
                    "fallback_core"
                ],
                "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": 28
            },
            {
                "ticker": "NHY.OL",
                "weight_pct": 10,
                "score": -4.30999999999999960920149533194489777088165283203125,
                "signal": "SELL",
                "sector": "Basic Materials",
                "profile": "turnaround",
                "lens": "recovery",
                "classification_confidence": 68,
                "classification_quality": "usable",
                "classification_ambiguous": true,
                "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": "MOWI.OL",
                "weight_pct": 10,
                "score": 4.019999999999999573674358543939888477325439453125,
                "signal": "BUY",
                "sector": "Consumer Defensive",
                "profile": "core",
                "lens": "core_quality",
                "classification_confidence": 28,
                "classification_quality": "weak",
                "classification_ambiguous": false,
                "classification_reason_codes": [
                    "fallback_core"
                ],
                "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": 28
            },
            {
                "ticker": "TEL.OL",
                "weight_pct": 10,
                "score": -2.390000000000000124344978758017532527446746826171875,
                "signal": "SELL",
                "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": "KOG.OL",
                "weight_pct": 10,
                "score": 2.29000000000000003552713678800500929355621337890625,
                "signal": "BUY",
                "sector": "Industrials",
                "profile": "cyclical",
                "lens": "macro_cyclical",
                "classification_confidence": 64,
                "classification_quality": "usable",
                "classification_ambiguous": false,
                "classification_reason_codes": [
                    "cyclical_sector"
                ],
                "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": 64
            },
            {
                "ticker": "AKRBP.OL",
                "weight_pct": 10,
                "score": 5.3300000000000000710542735760100185871124267578125,
                "signal": "BUY",
                "sector": "Energy",
                "profile": "cyclical",
                "lens": "macro_cyclical",
                "classification_confidence": 64,
                "classification_quality": "usable",
                "classification_ambiguous": false,
                "classification_reason_codes": [
                    "cyclical_sector"
                ],
                "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": 64
            },
            {
                "ticker": "YAR.OL",
                "weight_pct": 10,
                "score": -2.95000000000000017763568394002504646778106689453125,
                "signal": "SELL",
                "sector": "Basic Materials",
                "profile": "turnaround",
                "lens": "recovery",
                "classification_confidence": 68,
                "classification_quality": "usable",
                "classification_ambiguous": true,
                "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": "ORK.OL",
                "weight_pct": 10,
                "score": 1.850000000000000088817841970012523233890533447265625,
                "signal": "HOLD",
                "sector": "Consumer Defensive",
                "profile": "core",
                "lens": "core_quality",
                "classification_confidence": 28,
                "classification_quality": "weak",
                "classification_ambiguous": false,
                "classification_reason_codes": [
                    "fallback_core"
                ],
                "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": 28
            },
            {
                "ticker": "STB.OL",
                "weight_pct": 10,
                "score": -0.82999999999999996003197111349436454474925994873046875,
                "signal": "HOLD",
                "sector": "Financial Services",
                "profile": "core",
                "lens": "core_quality",
                "classification_confidence": 28,
                "classification_quality": "weak",
                "classification_ambiguous": false,
                "classification_reason_codes": [
                    "fallback_core"
                ],
                "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": 28
            }
        ],
        "coverage": {
            "beta_pct": 100,
            "grade_pct": 90,
            "dividend_pct": 100,
            "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": {
                "core": 40,
                "cyclical": 30,
                "turnaround": 30
            },
            "lens_mix": {
                "core_quality": 40,
                "macro_cyclical": 30,
                "recovery": 30
            },
            "classification": {
                "avg_confidence": 50.7999999999999971578290569595992565155029296875,
                "quality": "weak",
                "low_confidence_weight_pct": 40,
                "ambiguous_weight_pct": 20,
                "weak_count": 4,
                "low_confidence_tickers": [
                    "DNB.OL",
                    "MOWI.OL",
                    "ORK.OL",
                    "STB.OL"
                ]
            },
            "factor_evidence": {
                "avg_confidence": 0,
                "quality": "weak",
                "low_confidence_weight_pct": 100,
                "missing_weight_pct": 100,
                "aligned_weight_pct": 0,
                "avg_lens_confidence": 50.7999999999999971578290569595992565155029296875
            },
            "sector_context": {
                "scores": [],
                "top_sector": "Energy",
                "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 grade 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": 0.299999999999999988897769753748434595763683319091796875,
                "tone": "warn",
                "status_key": "neutral"
            },
            {
                "id": "target_invested_pct",
                "value": 70,
                "cash_pct": 30,
                "stance": "balanced",
                "confidence": 54.2000000000000028421709430404007434844970703125,
                "tone": "risk"
            },
            {
                "id": "effective_positions",
                "value": 10,
                "tone": "good"
            },
            {
                "id": "largest_position",
                "value": 10,
                "ticker": "EQNR.OL",
                "tone": "good"
            },
            {
                "id": "top_sector",
                "value": 20,
                "sector": "Energy",
                "tone": "good"
            },
            {
                "id": "signal_mix",
                "buy": 30,
                "hold": 40,
                "sell": 30,
                "tone": "risk"
            },
            {
                "id": "portfolio_trajectory",
                "value": "stable",
                "tone": "warn",
                "confidence": 11
            },
            {
                "id": "weighted_beta",
                "value": 0.25,
                "tone": "good"
            },
            {
                "id": "macro_alignment",
                "value": 0.1000000000000000055511151231257827021181583404541015625,
                "tone": "risk"
            },
            {
                "id": "lens_confidence",
                "value": 50.7999999999999971578290569595992565155029296875,
                "tone": "risk"
            }
        ],
        "suggestions": [
            {
                "tone": "risk",
                "code": "lower_sell_exposure",
                "sell_pct": 30
            },
            {
                "tone": "risk",
                "code": "hold_higher_cash_buffer",
                "cash_pct": 30,
                "invested_pct": 70,
                "deployment_speed": "gradual"
            },
            {
                "tone": "warn",
                "code": "expand_factor_coverage",
                "missing_weight_pct": 100
            },
            {
                "tone": "warn",
                "code": "lower_forward_confidence",
                "lens_confidence": 50.7999999999999971578290569595992565155029296875
            },
            {
                "tone": "risk",
                "code": "review_weak_positions",
                "tickers": [
                    "NHY.OL",
                    "YAR.OL",
                    "TEL.OL"
                ]
            }
        ],
        "portfolio_input": {
            "cash_balance": 0,
            "holdings_value": 100000,
            "total_value": 100000,
            "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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