Clarify IPO short-exit strategy horizon

Request:
- Emphasize that the analyst model is for selling allocated IPO shares in T2 grey market or on D1, not for long-term holding.

Changes:
- Add explicit T2/D1 sell discipline to the analyst skill.
- Update ipo_score_v0 targets and holding policy so D1 sell return is primary and T2 is the intended extension when reliable grey-market data exists.
- Clarify that D5/D20/D60 are review labels only, not planned holding targets.
- Update the model report, single-ticker report generator, README, and the 06106 report language to reflect the short-exit horizon.

Verification:
- Rebuilt the model report with the same dataset timestamp and confirmed the analysis dataset did not change.
- Ran py_compile for build_analysis_dataset.py and generate_ipo_report.py.
- Generated a 06106 dry-run report showing T2/D1 exit discipline.
- Ran git diff --check.

Next useful context:
- T2 is still disabled in v0 until archivist approves a reliable grey-market data source; D1 remains the live modeled sell label.

scripts/build_analysis_dataset.py

@@ -611,9 +611,9 @@ def write_report(
         "",
         "## What This Model Does",
         "",
-        "This is the first analyst model built from the downloaded archive. It creates a repeatable feature table, scores each IPO using stage-safe rules, and calibrates the score buckets against archived D1 outcomes. It is intentionally transparent: the output includes every score component and the archived source paths used for each ticker.",
+        "This is the first analyst model built from the downloaded archive. It creates a repeatable feature table, scores each IPO using stage-safe rules, and calibrates the score buckets against archived D1 sell outcomes. It is intentionally transparent: the output includes every score component and the archived source paths used for each ticker.",
         "",
-        "The model does not use grey-market data in v0 because T2 currently has no approved reproducible source. It also does not use post-listing returns as inputs; returns are labels only.",
+        "The model is built for a short IPO allocation trade: sell in T2 grey market when reliable executable data exists, or sell on D1 otherwise. It does not use grey-market data in v0 because T2 currently has no approved reproducible source. It also does not use post-listing returns as inputs; D1 is the primary sell label, while D5/D20/D60 are review labels only.",
         "",
         "## Data Inventory",
         "",
@@ -652,7 +652,8 @@ def write_report(
         "1. Run `scripts/build_analysis_dataset.py` after archivist updates the database.",
         "2. Use `t0_score` for prospectus-stage watchlisting.",
         "3. Use `total_score`, `decision_band`, and `calibrated_d1_positive_rate` for T1-stage subscription cards.",
-        "4. Treat D1/D5/D20/D60 columns as review labels only, never as prediction inputs.",
+        "4. Frame live decisions around a T2 or D1 sell, not long-term holding.",
+        "5. Treat D5/D20/D60 columns as review labels only, never as prediction inputs or holding targets.",
         "",
         "## Known Gaps",
         "",

scripts/generate_ipo_report.py

@@ -216,13 +216,13 @@ def action_for_decision(decision: str) -> str:
     actions = {
         "weak_or_avoid": "Avoid at T0 unless later T1 demand changes the setup.",
         "neutral": "Wait for T1 allotment demand before subscribing.",
-        "positive_watch": "Watch positively, but wait for T1 confirmation before sizing.",
-        "strong_watch": "Strong watch at T0, still pending T1 demand confirmation.",
+        "positive_watch": "Watch positively, but wait for T1 confirmation before sizing for a T2/D1 exit.",
+        "strong_watch": "Strong watch at T0, still pending T1 demand confirmation for a T2/D1 exit.",
         "avoid": "Avoid subscription.",
         "avoid_or_wait": "Avoid or wait; do not size without a stronger catalyst.",
-        "watch_or_small": "Small subscription only if execution constraints are favorable.",
-        "selective_subscribe": "Selective subscription with disciplined sizing.",
-        "high_conviction_subscribe": "Subscribe, subject to allocation and liquidity discipline.",
+        "watch_or_small": "Small subscription only if execution constraints support a T2/D1 exit.",
+        "selective_subscribe": "Selective subscription with disciplined T2/D1 sell sizing.",
+        "high_conviction_subscribe": "Subscribe, subject to allocation, liquidity, and T2/D1 sell discipline.",
     }
     return actions[decision]
 
@@ -360,6 +360,7 @@ def build_report(record: dict[str, str], rows: list[dict[str, str]], stage: str,
         f"- Model dataset as of: `{dataset_as_of}`",
         f"- Rule version: `{model_version}`",
         f"- Rule path: `{MODEL_RULE_PATH.as_posix()}`",
+        "- Strategy horizon: short IPO subscription trade; intended exit is T2 grey market if reliable, otherwise D1.",
         f"- Decision: `{decision}`",
         f"- PM action: {action_for_decision(decision)}",
         f"- {score_label}: `{score}`",
@@ -370,12 +371,14 @@ def build_report(record: dict[str, str], rows: list[dict[str, str]], stage: str,
         "",
         facts_table(record, stage),
         "",
-        "## Model Inference",
+        "## Short-Exit Model Inference",
         "",
         f"- D1 positive probability: {fmt_pct_rate(metric.d1_positive_rate)}",
         f"- D1 >= 10% probability: {fmt_pct_rate(metric.d1_strong_rate)}",
         f"- Historical average D1 return for bucket: {fmt_num(metric.average_d1_return_pct, '%')}",
         f"- Historical median D1 return for bucket: {fmt_num(metric.median_d1_return_pct, '%')}",
+        "- T2 sell return is not modeled until an approved grey-market data source exists.",
+        "- D5/D20/D60 outcomes are review labels only, not holding targets.",
         "",
         "## Score Breakdown",
         "",
@@ -389,8 +392,8 @@ def build_report(record: dict[str, str], rows: list[dict[str, str]], stage: str,
         "",
         *reason_lines(components, positive=False),
         *missing_field_lines(record, stage),
-        "- T2 grey-market signal is not used because the project has no approved reproducible source.",
-        "- Post-listing D1/D5/D20/D60 outcomes are labels for model calibration only and are not shown as prediction inputs.",
+        "- T2 grey-market signal is not used yet because the project has no approved reproducible source.",
+        "- Post-listing D5/D20/D60 outcomes are labels for later review only and are not holding-period targets.",
         "",
         "## Triggers",
         "",
@@ -399,9 +402,10 @@ def build_report(record: dict[str, str], rows: list[dict[str, str]], stage: str,
         "",
         "## Exit Plan",
         "",
-        "- If subscribed and allocated, reassess after allotment and before first trading session using only information available at that stage.",
-        "- For T1 reports without approved T2 data, treat first-day liquidity and position sizing conservatively.",
-        "- Record actual D1/D5/D20/D60 outcomes later as review labels, not as retroactive prediction inputs.",
+        "- If subscribed and allocated, plan to sell in T2 grey market when reliable executable data is available.",
+        "- If T2 is unavailable or unreliable, use D1 as the default exit window.",
+        "- Do not treat D5/D20/D60 as planned holding periods for this model.",
+        "- Record D1/D5/D20/D60 outcomes later as review labels, not as retroactive prediction inputs.",
         "",
         "## Source Paths",
         "",