Long-horizon AI shadow signal: 2026-06-25

[github-actions]

Long-Horizon Shadow Signal Request

• As of date: 2026-06-25
• Source ref: main
• Bridge repository: QuantStrategyLab/CodexAuditBridge
• Provider: auto
• Mode: shadow
• Required output: data/output/latest_signal.json
• Historical copy: data/output/signal_history/YYYY-MM-DD.json when evidence is sufficient

Operator Notification

This issue is the operator-facing notification for the shadow signal run.
CodexAuditBridge should post its review result here and may open a focused PR
only for schema-valid shadow artifacts.

Boundaries

• AI output must not place orders or change live strategy rules.
• Any downstream use must remain advisory until a deterministic policy consumes the artifact.
• If evidence is insufficient, report findings and leave artifacts unchanged.

Context Bundle

Use this point-in-time context bundle as the primary evidence for the shadow signal review.

{
  "as_of": "2026-06-25",
  "data_quality": {
    "source": "yahoo_chart_or_operator_price_csv",
    "synthetic": false,
    "warnings": []
  },
  "existing_strategy_context": {
    "ai_may_place_orders": false,
    "ai_mode": "shadow",
    "downstream_policy_required": true
  },
  "generated_at": "2026-06-27T08:22:28.245044Z",
  "horizon": "1-3 years",
  "notes": [
    "Point-in-time context bundle for shadow research only.",
    "This bundle is evidence for AI review, not a trading instruction.",
    "Historical AI judgments must come from saved artifacts, not regenerated prompts."
  ],
  "price_context": {
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      "latest_close": 532.570007,
      "observations": 287,
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      "returns": {
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        "252d": 2.847215,
        "5d": 0.039202,
        "63d": 1.417805
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      "sma": {
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        "50d": 433.851401
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      "trend": "above_200d",
      "volatility": "high"
    },
    "AMZN": {
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      "latest_close": 227.009995,
      "observations": 287,
      "realized_vol_21d": 0.361788,
      "returns": {
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        "5d": -0.044168,
        "63d": 0.072269
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      "sma": {
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        "50d": 256.445
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      "trend": "mixed",
      "volatility": "high"
    },
    "AVGO": {
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      "drawdown_63d": -0.211932,
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      "realized_vol_21d": 0.729004,
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      "trend": "above_200d",
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    },
    "BIL": {
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      "observations": 287,
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      "trend": "above_200d",
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      "returns": {
        "126d": 0.178552,
        "21d": 0.058939,
        "252d": 0.285626,
        "5d": 0.027689,
        "63d": 0.117947
      },
      "sma": {
        "200d": 162.826878,
        "50d": 173.765121
      },
      "trend": "above_200d",
      "volatility": "elevated"
    },
    "XLK": {
      "as_of": "2026-06-25",
      "drawdown_63d": -0.067706,
      "latest_close": 184.570007,
      "observations": 287,
      "realized_vol_21d": 0.420313,
      "returns": {
        "126d": 0.274593,
        "21d": -0.00189,
        "252d": 0.500879,
        "5d": -0.005435,
        "63d": 0.3512
      },
      "sma": {
        "200d": 150.019761,
        "50d": 175.237593
      },
      "trend": "above_200d",
      "volatility": "high"
    },
    "XLU": {
      "as_of": "2026-06-25",
      "drawdown_63d": -0.021362,
      "latest_close": 45.849998,
      "observations": 287,
      "realized_vol_21d": 0.182243,
      "returns": {
        "126d": 0.094075,
        "21d": 0.01793,
        "252d": 0.155254,
        "5d": 0.037849,
        "63d": 0.01973
      },
      "sma": {
        "200d": 44.008058,
        "50d": 44.775028
      },
      "trend": "above_200d",
      "volatility": "normal"
    },
    "XLV": {
      "as_of": "2026-06-25",
      "drawdown_63d": 0.0,
      "latest_close": 155.630005,
      "observations": 287,
      "realized_vol_21d": 0.182751,
      "returns": {
        "126d": 0.010682,
        "21d": 0.052565,
        "252d": 0.183647,
        "5d": 0.0372,
        "63d": 0.068903
      },
      "sma": {
        "200d": 148.355165,
        "50d": 147.671643
      },
      "trend": "mixed",
      "volatility": "normal"
    },
    "XOM": {
      "as_of": "2026-06-25",
      "drawdown_63d": -0.192374,
      "latest_close": 137.550003,
      "observations": 287,
      "realized_vol_21d": 0.264788,
      "returns": {
        "126d": 0.179912,
        "21d": -0.081837,
        "252d": 0.310085,
        "5d": -0.022666,
        "63d": -0.15176
      },
      "sma": {
        "200d": 133.625824,
        "50d": 148.66744
      },
      "trend": "above_200d",
      "volatility": "elevated"
    }
  },
  "schema_version": "1",
  "theme_context": {
    "anti_overfit_policy": {
      "ai_output_remains_shadow_only": true,
      "recent_heat_does_not_change_membership": true,
      "theme_bias_requires_point_in_time_artifact": true,
      "theme_membership_is_static_research_context": true
    },
    "coverage": {
      "covered_symbol_count": 40,
      "missing_symbols": [],
      "requested_symbol_count": 40
    },
    "symbol_theme_exposure": {
      "AMD": [
        "ai_compute",
        "foundry_semicap"
      ],
      "AMZN": [
        "ai_compute",
        "consumer_platforms"
      ],
      "AVGO": [
        "ai_compute",
        "foundry_semicap"
      ],
      "BIL": [
        "financial_market_infrastructure"
      ],
      "BOXX": [
        "financial_market_infrastructure"
      ],
      "COIN": [
        "crypto_infrastructure",
        "financial_market_infrastructure"
      ],
      "CRWD": [
        "cybersecurity"
      ],
      "CVX": [
        "energy_security"
      ],
      "DELL": [
        "ai_server_infrastructure",
        "ai_compute"
      ],
      "DIA": [
        "industrial_automation",
        "financial_market_infrastructure"
      ],
      "GOOGL": [
        "ai_compute",
        "consumer_platforms"
      ],
      "INTC": [
        "foundry_semicap",
        "ai_compute"
      ],
      "IWM": [
        "industrial_automation",
        "financial_market_infrastructure"
      ],
      "JPM": [
        "financial_market_infrastructure"
      ],
      "LMT": [
        "defense_aerospace"
      ],
      "META": [
        "ai_compute",
        "consumer_platforms"
      ],
      "MSFT": [
        "ai_compute",
        "cybersecurity"
      ],
      "MSTR": [
        "crypto_infrastructure"
      ],
      "MU": [
        "hbm_memory",
        "ai_compute"
      ],
      "NEE": [
        "data_center_power",
        "clean_energy_grid"
      ],
      "NOC": [
        "defense_aerospace"
      ],
      "NVDA": [
        "ai_compute"
      ],
      "PANW": [
        "cybersecurity"
      ],
      "QQQ": [
        "ai_compute",
        "consumer_platforms",
        "cybersecurity"
      ],
      "RTX": [
        "defense_aerospace"
      ],
      "SMCI": [
        "ai_server_infrastructure",
        "data_center_power"
      ],
      "SOXX": [
        "ai_compute",
        "hbm_memory",
        "foundry_semicap"
      ],
      "SPY": [
        "financial_market_infrastructure"
      ],
      "TQQQ": [
        "ai_compute",
        "consumer_platforms"
      ],
      "TSLA": [
        "automobility_ev",
        "ai_compute",
        "data_center_power"
      ],
      "TSM": [
        "foundry_semicap",
        "ai_compute"
      ],
      "UNH": [
        "healthcare_policy"
      ],
      "VRT": [
        "data_center_power",
        "ai_server_infrastructure"
      ],
      "XLE": [
        "energy_security"
      ],
      "XLF": [
        "financial_market_infrastructure"
      ],
      "XLI": [
        "industrial_automation",
        "defense_aerospace"
      ],
      "XLK": [
        "ai_compute",
        "cybersecurity",
        "consumer_platforms"
      ],
      "XLU": [
        "data_center_power",
        "clean_energy_grid"
      ],
      "XLV": [
        "healthcare_policy"
      ],
      "XOM": [
        "energy_security"
      ]
    },
    "symbol_theme_metadata": {
      "AMD": {
        "exposure_confidence": "high",
        "rationale": "AI accelerators and CPU/GPU data-center exposure."
      },
      "AMZN": {
        "exposure_confidence": "high",
        "rationale": "AWS AI infrastructure plus e-commerce and advertising platform exposure."
      },
      "AVGO": {
        "exposure_confidence": "high",
        "rationale": "Custom AI ASICs"
      },
      "BIL": {
        "exposure_confidence": "medium",
        "rationale": "Cash-like short Treasury ETF used as defensive baseline."
      },
      "BOXX": {
        "exposure_confidence": "medium",
        "rationale": "Cash-like Treasury-box exposure used as defensive baseline."
      },
      "COIN": {
        "exposure_confidence": "high",
        "rationale": "Crypto exchange and digital-asset market-structure exposure."
      },
      "CRWD": {
        "exposure_confidence": "high",
        "rationale": "Endpoint and cloud cybersecurity exposure."
      },
      "CVX": {
        "exposure_confidence": "high",
        "rationale": "Integrated oil and gas energy-security exposure."
      },
      "DELL": {
        "exposure_confidence": "high",
        "rationale": "AI server"
      },
      "DIA": {
        "exposure_confidence": "low",
        "rationale": "Blue-chip industrial and financial context benchmark."
      },
      "GOOGL": {
        "exposure_confidence": "high",
        "rationale": "Cloud AI"
      },
      "INTC": {
        "exposure_confidence": "high",
        "rationale": "Domestic foundry"
      },
      "IWM": {
        "exposure_confidence": "low",
        "rationale": "Small-cap benchmark for domestic cyclicality context."
      },
      "JPM": {
        "exposure_confidence": "high",
        "rationale": "Systemic bank"
      },
      "LMT": {
        "exposure_confidence": "high",
        "rationale": "Defense prime and government procurement exposure."
      },
      "META": {
        "exposure_confidence": "high",
        "rationale": "AI infrastructure"
      },
      "MSFT": {
        "exposure_confidence": "high",
        "rationale": "Cloud AI"
      },
      "MSTR": {
        "exposure_confidence": "high",
        "rationale": "Bitcoin treasury and digital-asset beta exposure."
      },
      "MU": {
        "exposure_confidence": "high",
        "rationale": "HBM"
      },
      "NEE": {
        "exposure_confidence": "high",
        "rationale": "Utility"
      },
      "NOC": {
        "exposure_confidence": "high",
        "rationale": "Defense prime and aerospace systems exposure."
      },
      "NVDA": {
        "exposure_confidence": "high",
        "rationale": "AI accelerator and platform ecosystem exposure."
      },
      "PANW": {
        "exposure_confidence": "high",
        "rationale": "Network and cloud cybersecurity exposure."
      },
      "QQQ": {
        "exposure_confidence": "medium",
        "rationale": "Growth benchmark with large technology and platform concentration."
      },
      "RTX": {
        "exposure_confidence": "high",
        "rationale": "Defense and aerospace procurement exposure."
      },
      "SMCI": {
        "exposure_confidence": "high",
        "rationale": "AI server and rack-scale infrastructure exposure."
      },
      "SOXX": {
        "exposure_confidence": "medium",
        "rationale": "Semiconductor ETF used as sector benchmark."
      },
      "SPY": {
        "exposure_confidence": "medium",
        "rationale": "Broad US equity benchmark used as market baseline."
      },
      "TQQQ": {
        "exposure_confidence": "low",
        "rationale": "Leveraged growth proxy; use for regime context only."
      },
      "TSLA": {
        "exposure_confidence": "medium",
        "rationale": "EV"
      },
      "TSM": {
        "exposure_confidence": "high",
        "rationale": "Leading-edge foundry and AI supply-chain exposure."
      },
      "UNH": {
        "exposure_confidence": "high",
        "rationale": "Managed care and healthcare policy exposure."
      },
      "VRT": {
        "exposure_confidence": "high",
        "rationale": "Data-center power and cooling infrastructure exposure."
      },
      "XLE": {
        "exposure_confidence": "medium",
        "rationale": "Energy sector ETF benchmark."
      },
      "XLF": {
        "exposure_confidence": "medium",
        "rationale": "Financial sector ETF benchmark."
      },
      "XLI": {
        "exposure_confidence": "medium",
        "rationale": "Industrial sector ETF benchmark."
      },
      "XLK": {
        "exposure_confidence": "medium",
        "rationale": "Technology sector ETF benchmark."
      },
      "XLU": {
        "exposure_confidence": "medium",
        "rationale": "Utility sector ETF benchmark."
      },
      "XLV": {
        "exposure_confidence": "medium",
        "rationale": "Healthcare sector ETF benchmark."
      },
      "XOM": {
        "exposure_confidence": "high",
        "rationale": "Integrated oil and gas energy-security exposure."
      }
    },
    "taxonomy_version": "2026-05-31-core-themes-v1",
    "themes": {
      "ai_compute": {
        "description": "Accelerators, cloud AI platforms, model serving, and enterprise AI infrastructure demand.",
        "horizon": "1-3 years",
        "name": "AI compute platforms",
        "sector": "technology",
        "source_policy": "Require issuer filings, IR releases, hyperscaler capex evidence, or durable industry data before recommendation escalation."
      },
      "ai_server_infrastructure": {
        "description": "AI servers, racks, thermal design, storage, networking, and enterprise AI capex.",
        "horizon": "6-24 months",
        "name": "AI server and data-center hardware",
        "sector": "technology",
        "source_policy": "Require issuer releases, filings, customer demand evidence, or confirmed procurement data."
      },
      "automobility_ev": {
        "description": "EVs, autonomy, batteries, tariffs, domestic manufacturing, and auto credit cycle.",
        "horizon": "1-3 years",
        "name": "Automobility and EV transition",
        "sector": "consumer_discretionary",
        "source_policy": "Require issuer filings, regulator safety data, tariff policy, official incentives, or durable delivery data."
      },
      "clean_energy_grid": {
        "description": "Solar, grid equipment, storage, interconnection, and electricity demand transition.",
        "horizon": "1-3 years",
        "name": "Clean energy and grid transition",
        "sector": "utilities",
        "source_policy": "Require DOE/FERC/state regulator documents, issuer filings, or project-level evidence."
      },
      "consumer_platforms": {
        "description": "Ads, app ecosystems, gaming, social platforms, e-commerce, and consumer demand.",
        "horizon": "6-24 months",
        "name": "Consumer platforms and ads",
        "sector": "communication_services",
        "source_policy": "Require issuer filings, platform policy evidence, app-store disclosures, or durable ad-market data."
      },
      "crypto_infrastructure": {
        "description": "Crypto exchanges, treasury exposure, ETFs, market structure, and digital-asset regulatory regime.",
        "horizon": "3-18 months",
        "name": "Crypto infrastructure and digital assets",
        "sector": "financials",
        "source_policy": "Require SEC/CFTC/Treasury materials, issuer filings, exchange disclosures, or durable market data."
      },
      "cybersecurity": {
        "description": "Cloud security, endpoint, identity, network defense, and government cyber policy demand.",
        "horizon": "1-3 years",
        "name": "Enterprise cybersecurity",
        "sector": "technology",
        "source_policy": "Require issuer filings, contract disclosures, government cybersecurity policy, or primary procurement evidence."
      },
      "data_center_power": {
        "description": "Power generation, grid capacity, cooling, nuclear, and utility exposure to data-center load growth.",
        "horizon": "1-3 years",
        "name": "Data-center power and cooling",
        "sector": "utilities",
        "source_policy": "Require utility filings, regulator materials, power purchase agreements, issuer releases, or official project data."
      },
      "defense_aerospace": {
        "description": "Defense procurement, aerospace backlog, drones, missiles, satellites, and geopolitical spending.",
        "horizon": "1-3 years",
        "name": "Defense and aerospace",
        "sector": "industrials",
        "source_policy": "Require DoD/agency awards, issuer backlog disclosures, budget documents, or official procurement records."
      },
      "energy_security": {
        "description": "Oil, gas, LNG, refining, sanctions, energy security, and geopolitical supply constraints.",
        "horizon": "6-24 months",
        "name": "Energy security and hydrocarbons",
        "sector": "energy",
        "source_policy": "Require EIA/DOE/Treasury materials, issuer filings, official sanctions, or durable commodity context."
      },
      "financial_market_infrastructure": {
        "description": "Banks, brokers, exchanges, crypto-linked market access, rate sensitivity, and capital markets activity.",
        "horizon": "6-24 months",
        "name": "Financial and market infrastructure",
        "sector": "financials",
        "source_policy": "Require regulatory filings, bank disclosures, market-structure rules, or durable volume and spread data."
      },
      "foundry_semicap": {
        "description": "Foundry capacity, semiconductor equipment, export controls, CHIPS Act, and reshoring policy.",
        "horizon": "1-3 years",
        "name": "Foundry and semiconductor policy",
        "sector": "technology",
        "source_policy": "Require SEC filings, government policy documents, grants, export-control notices, or issuer materials."
      },
      "hbm_memory": {
        "description": "HBM, DRAM, NAND, and memory-cycle supply demand linked to AI and data-center buildout.",
        "horizon": "6-24 months",
        "name": "HBM and memory cycle",
        "sector": "technology",
        "source_policy": "Prefer issuer filings, earnings transcripts, capex plans, and supply-chain primary evidence."
      },
      "healthcare_policy": {
        "description": "Managed care, reimbursement, drug policy, hospital utilization, and election/regulatory health policy.",
        "horizon": "6-24 months",
        "name": "Healthcare policy and managed care",
        "sector": "healthcare",
        "source_policy": "Require CMS/HHS documents, SEC filings, issuer releases, or official policy evidence."
      },
      "industrial_automation": {
        "description": "Factory automation, aerospace supply chain, electrification equipment, and reshoring capex.",
        "horizon": "1-3 years",
        "name": "Industrial automation and reshoring",
        "sector": "industrials",
        "source_policy": "Require issuer backlog/capex evidence, government manufacturing policy, or official project data."
      }
    }
  },
  "universe": [
    "SPY",
    "QQQ",
    "SOXX",
    "TQQQ",
    "BIL",
    "BOXX",
    "IWM",
    "DIA",
    "XLF",
    "XLV",
    "XLE",
    "XLI",
    "XLU",
    "XLK",
    "NVDA",
    "AMD",
    "AVGO",
    "TSM",
    "MU",
    "INTC",
    "DELL",
    "SMCI",
    "VRT",
    "MSFT",
    "GOOGL",
    "AMZN",
    "META",
    "CRWD",
    "PANW",
    "LMT",
    "RTX",
    "NOC",
    "CVX",
    "XOM",
    "JPM",
    "UNH",
    "NEE",
    "TSLA",
    "COIN",
    "MSTR"
  ]
}

Do not infer historical AI signals that were not generated point-in-time.

[quantcrossrepoautomation]

API Monthly Review

Codex service failed with exit code 1. Using the configured API fallback reviewers.

OpenAI Review

API Long-Horizon Shadow Signal Review

Evidence Quality

• Sufficient for a shadow-only, advisory review.
• The bundle is point-in-time and explicitly non-execution.
• Market context shows a broad risk-on regime with mixed dispersion:
  • Strong momentum / above-200d examples: AMD, AVGO, CRWD, DELL, INTC, MU, PANW, SOXX, TQQQ, TSM, VRT
  • Weak / below-200d examples: COIN, LMT, META, MSFT, MSTR, NOC, SMCI, TSLA
• Volatility is elevated/high for many names, which argues for a cautious shadow signal and deterministic downstream policy gating.
• No evidence suggests the AI should place orders or alter live strategy rules.

Draft Shadow Signal JSON

{
  "schema_version": "1.0",
  "mode": "shadow",
  "provider": "auto",
  "as_of": "2026-06-25",
  "generated_at": "2026-06-27T08:22:28.245044Z",
  "horizon": "1-3 years",
  "actionability": "advisory_only",
  "downstream_policy_required": true,
  "ai_may_place_orders": false,
  "signals": [
    {
      "symbol": "SOXX",
      "signal": "bullish",
      "confidence": 0.72,
      "rationale": [
        "strong multi-horizon performance",
        "above 200d trend",
        "semiconductor leadership breadth"
      ]
    },
    {
      "symbol": "QQQ",
      "signal": "bullish",
      "confidence": 0.66,
      "rationale": [
        "broad index trend remains above 200d",
        "positive 252d and 63d returns",
        "near-term softness appears contained"
      ]
    },
    {
      "symbol": "SPY",
      "signal": "neutral",
      "confidence": 0.61,
      "rationale": [
        "uptrend above 200d",
        "recent 21d drift slightly negative",
        "supports base-case market regime, not an aggressive tilt"
      ]
    },
    {
      "symbol": "MSFT",
      "signal": "bearish",
      "confidence": 0.68,
      "rationale": [
        "below 200d trend",
        "negative multi-horizon returns",
        "high volatility profile"
      ]
    },
    {
      "symbol": "META",
      "signal": "bearish",
      "confidence": 0.65,
      "rationale": [
        "below 200d trend",
        "weak 126d and 252d performance",
        "elevated drawdown profile"
      ]
    },
    {
      "symbol": "COIN",
      "signal": "bearish",
      "confidence": 0.76,
      "rationale": [
        "below 200d trend",
        "large negative 252d and 126d returns",
        "high volatility and deep drawdown"
      ]
    }
  ],
  "policy": {
    "type": "deterministic_downstream_only",
    "notes": [
      "This artifact is shadow-only and non-execution.",
      "Any future action must be taken only by a deterministic policy consumer.",
      "No live strategy rule changes are implied."
    ]
  }
}

Missing Data

• The bundle is truncated in the prompt after XLI, so I cannot fully audit the entire universe shown in the source context.
• No explicit portfolio weights, benchmark rules, or prior saved AI artifact were provided.
• No schema definition for latest_signal.json was included, so the draft is best-effort and should be validated by the repository’s existing schema.

Operator Action Items

• If this repo expects persisted shadow artifacts, write the above only after schema validation.
• Keep the signal advisory-only and ensure downstream enforcement remains deterministic.
• If the repository has a canonical universe or ranking policy, compare this draft against it before publishing.

Anthropic Claude Review

API Long-Horizon Shadow Signal Review

Issue Reference

• Repository: QuantStrategyLab/ResearchSignalContextPipelines
• Issue: Long-horizon AI shadow signal: 2026-06-25 #19
• As-of date: 2026-06-25
• Generated at: 2026-06-27T08:22:28.245044Z
• Mode: shadow (non-execution, advisory only)
• Horizon: 1–3 years

---

Evidence Quality

Dimension	Assessment
Source provenance	yahoo_chart_or_operator_price_csv — plausible, not synthetic
Warnings in bundle	None flagged
Observations per ticker	287 trading days (≈ 13–14 months of history)
Bundle completeness	Price context present for all 38 tickers; context was truncated at XLI — tail tickers (XLK, XLU, XLV, etc.) may be missing
Data quality verdict	Sufficient for shadow signal generation with noted caveat on truncation

Truncation note: The context bundle was cut off mid-record at XLI. Any tickers beyond that point are not represented in this review. The signal block below is constrained to tickers with complete data.

---

Signal Narrative

Macro Regime (as of 2026-06-25)

• SPY ($734.30): above 200d SMA, mild 63d drawdown (−3.1%), 252d return +22.4%. Broad market trend is intact but showing short-term softness (21d: −1.9%).
• QQQ ($716.38): above 200d SMA, 252d +33.4%, but recent weakness (21d: −1.8%, 63d drawdown −3.9%). Tech leadership is rotating.
• DIA ($519.26): above 200d SMA, low drawdown (−0.15%), 252d +22.4%. Dow remains constructive.
• IWM ($298.91): above 200d SMA, zero 63d drawdown, 252d +40.8%. Small-cap momentum is healthy — a risk-on signal.

Regime label: Bull trend with selective sector rotation; tech mega-cap divergence is the primary structural risk.

---

Sector and Single-Name Analysis

🟢 Strong Positive Signals (Above trend, strong multi-period momentum)

Ticker	Close	252d Return	63d Return	21d Return	200d SMA	Notes
MU	$1,213.56	+851%	+218%	+35.5%	$420.72	Extreme semi momentum; vol very high (1.24)
INTC	$132.87	+489%	+182%	+7.6%	$57.71	Extraordinary turnaround; trend well above 200d
SOXX	$625.20	+167%	+81%	+9.7%	$367.23	Semiconductor ETF confirms sector strength
CRWD	$678.65	+39.8%	+75.9%	+1.1%	$494.59	Cybersecurity leadership; 63d move exceptional
PANW	$293.09	+45.3%	+91.3%	+14.2%	$198.04	Best risk-adjusted cyber name; low 63d drawdown
AMD	$532.57	+285%	+142%	+5.7%	$268.64	Above trend, strong all horizons
DELL	$409.45	+245%	+123%	+34.2%	$178.89	AI infrastructure beneficiary; very high vol
TSM	$435.00	+99.8%	+25.4%	+5.7%	$337.68	Foundry leader; above trend all horizons
VRT	$325.57	+166%	+17.9%	+0.5%	$227.96	Data center power; strong 126d and 252d
TQQQ	$75.00	+93.3%	+68.8%	−8.5%	$56.73	3× QQQ; above trend but high leverage risk
UNH	$415.53	+39.6%	+54.5%	+10.9%	$331.34	Healthcare outperformer; zero 63d drawdown
JPM	$335.12	+21.5%	+14.0%	+9.3%	$305.99	Financials leader; zero 63d drawdown
AVGO	$378.91	+44.7%	+19.0%	−10.1%	$359.86	Above 200d but recent weakness; monitor

🟡 Mixed / Watchlist Signals

Ticker	Close	252d Return	Trend	Primary Concern
NVDA	$195.74	+32.5%	above_200d	Below 50d SMA; 21d −8.8%; vol elevated
GOOGL	$343.71	+106.7%	above_200d	Recent sharp pullback (21d −11.6%, 63d drawdown −14.6%)
CVX	$172.24	+25.0%	above_200d	63d −15.3%; energy sector softening
XLE	$54.09	+31.4%	above_200d	63d −10.1%; energy rolling over near-term
NEE	$87.70	+26.4%	above_200d	Slightly below 50d; utilities defensive but slow
RTX	$186.59	+33.6%	mixed	Defense mixed; 63d flat; above 50d SMA
AMZN	$227.01	+6.7%	mixed	Sharp recent weakness (21d −14.4%); below both SMAs
XLF	$53.45	+5.2%	mixed	Weak 252d; JPM diverging from sector ETF

🔴 Negative / Avoid Signals (Below 200d SMA or severe drawdown)

Ticker	Close	252d Return	63d Drawdown	Notes
MSFT	$352.83	−27.4%	−23.4%	Severely below 200d ($446.88); structural downtrend
META	$542.87	−23.5%	−21.1%	Below 200d ($649.93); 126d −17.8%
TSLA	$375.12	+10.2%	−15.8%	Below 200d and 50d; 126d −23.2%
COIN	$142.52	−58.7%	−34.2%	Severe downtrend; below 200d by large margin
MSTR	$85.33	−77.4%	−56.5%	Catastrophic drawdown; avoid
NOC	$499.33	+4.8%	−28.6%	Below 200d ($610.17); defense sector weakness
LMT	$505.02	+12.7%	−20.3%	Below 200d ($533.41); defense rotation out
SMCI	$31.68	−26.1%	−36.9%	Below 200d; extremely high volatility (1.53)

🏦 Cash / Low-Risk Positioning

Ticker	Close	21d Return	Notes
BIL	$91.60	+0.28%	T-bill proxy; near-zero drawdown; risk-off anchor
BOXX	$117.12	+0.23%	Box-spread ETF; near-zero drawdown; tax-efficient cash

---

1–3 Year Horizon Themes

1. Semiconductor supercycle (MU, INTC, AMD, SOXX, TSM) — strongest multi-year momentum in the universe; AI-driven capex supports continued tailwinds, but volatility is extreme.
2. AI infrastructure / power (DELL, VRT) — hardware and power delivery beneficiaries with clear 252d leadership.
3. Cybersecurity (CRWD, PANW) — both showing exceptional 63d and 126d returns; low relative drawdown for the group.
4. Mega-cap software headwinds (MSFT, META) — structural underperformers relative to 200d SMA; avoid or underweight on a 1–3 year shadow basis unless trend reversal is confirmed.
5. Defense rotation negative (NOC, LMT) — both below 200d despite geopolitical backdrop; signals budget or valuation pressure.
6. Crypto-linked names (COIN, MSTR) — severe multi-period losses; not suited for long-horizon positioning under current evidence.

---

Draft Shadow Signal JSON

{
  "schema_version": "1.0.0",
  "signal_id": "shadow-2026-06-25-001",
  "as_of": "2026-06-25",
  "generated_at": "2026-06-27T08:22:28.245044Z",
  "mode": "shadow",
  "horizon": "1-3 years",
  "ai_may_place_orders": false,
  "downstream_policy_required": true,
  "source_ref": "main",
  "bridge_repository": "QuantStrategyLab/CodexAuditBridge",
  "issue_ref": "https://github.com/QuantStrategyLab/ResearchSignalContextPipelines/issues/19",
  "data_quality": {
    "source": "yahoo_chart_or_operator_price_csv",
    "synthetic": false,
    "warnings": [
      "Context bundle truncated at XLI; tickers beyond XLI not reviewed."
    ]
  },
  "macro_regime": {
    "label": "bull_trend_with_rotation",
    "confidence": "moderate",
    "supporting_tickers": ["SPY", "QQQ", "DIA", "IWM"],
    "primary_risk": "mega_cap_tech_divergence"
  },
  "signals": [
    {
      "ticker": "MU",
      "direction": "positive",
      "conviction": "high",
      "rationale": "252d +851%, 63d +218%, above 200d SMA by large margin. Semiconductor memory leadership.",
      "risk_flag": "vol_extreme",
      "realized_vol_21d": 1.244316
    },
    {
      "ticker": "INTC",
      "direction": "positive",
      "conviction": "high",
      "rationale": "252d +489%, extraordinary trend reversal, well above 200d SMA.",
      "risk_flag": "vol_high",
      "realized_vol_21d": 0.954053
    },
    {
      "ticker": "SOXX",
      "direction": "positive",
      "conviction": "high",
      "rationale": "Semiconductor ETF confirms sector breadth; 252d +167%, 63d +81%.",
      "risk_flag": "vol_high",
      "realized_vol_21d": 0.76443
    },
    {
      "ticker": "PANW",
      "direction": "positive",
      "conviction": "high",
      "rationale": "63d +91%, 126d +55%, low 63d drawdown (-2.5%); cybersecurity leader.",
      "risk_flag": "vol_high",
      "realized_vol_21d": 0.569976
    },
    {
   

...[truncated by CodexAuditBridge]

[quantcrossrepoautomation]

Codex Audit

Codex service failed with exit code 1. Applied via API fallback provider openai.

Verdict

Update the shadow signal artifact: sufficient point-in-time evidence exists, and the repository already provides the schema and prior shadow-artifact pattern. I kept the output strictly advisory and non-execution.

Findings

• The current data/output/latest_signal.json is stale relative to the issue context and lacks the required structured long-horizon shadow shape used by the repository’s current validator expectations.
• The issue bundle provides enough evidence for a shadow-only update: broad market regime is constructive, AI/semiconductor/cyber infrastructure remains strong, and several mega-cap / crypto-linked names are weak or below 200d.
• No evidence supports any execution or allocation change; downstream use must remain blocked unless a separate deterministic policy engine explicitly consumes the artifact.

Changes Made

• Updated data/output/latest_signal.json to a schema-valid shadow artifact aligned to the 2026-06-25 context.
• Updated data/output/latest_signal.manifest.json to match the revised artifact provenance.
• Added data/output/signal_history/2026-06-25.json as the dated historical copy.

Verification

• Run: python scripts/validate_latest_signal.py
• Expected result: valid shadow artifact under the repository’s signal validation rules.

Residual Risk

• The evidence set is still research-only and point-in-time; it does not constitute backtest or replay proof for production use.
• Volatility is elevated in several leading themes, so any downstream consumer must keep the artifact advisory-only and gated by deterministic policy.

Created fix PR: #20

This PR is high-risk for unattended merge and requires human review.

• Risk level: high
• Changed lines: 138
• Reasons:
  • blocked/high-risk files require human review
• High-risk files:
  • data/output/latest_signal.json

Added human-review-required to the PR so operators can review it before merge.

[Pigbibi]

Completed: PR #20 merged latest_signal.json to main, QuantAdvisorResearch published the 2026-06-27 weekly report, and CodexAuditBridge API patch fallback is deployed on VPS.