trial-readout-analysis

Methodology inspired by publicly taught clinical-trial frameworks; all text is an original paraphrase.

Defaults

Parameter	Default Value	Rationale
scrutiny_axes	all six	Safety/stats/subgroups/missing data/endpoints/benefit-risk
outcome_framing	base/bull/bear	Binary readouts need scenario sizing
reaction_context	historical cases	Size moves from past analogues

Preflight

Run canonical pre-flight per contracts/preflight.md. Propagate X-Agentii-Trace per contracts/x-agentii-trace-header.md.

Triggers

• "Evaluate [ticker]'s upcoming trial readout."
• "What should I look for in [trial]'s data?"
• "Size the readout for [drug] phase 3."
• "What did the AdCom-style scrutiny say about similar trials?"
• "Base/bull/bear for [ticker]'s readout."
• "Which endpoints matter for [trial]?"
• "How has the market reacted to similar readouts?"
• "Readout checklist for [ticker]."
• "Is this trial design adequate?"
• "What are the red flags in [trial]'s design?"

Production Grounding

• Readout ≠ approval: phase-3 success is necessary but not sufficient; FDA re-analyzes sponsor data.
• Apply the six scrutiny axes (safety signals, statistical adequacy, subgroup analyses, missing data, endpoint appropriateness, benefit-risk) — the 道/法 frameworks in references/knowledge-frameworks.md are the authoritative checklist.
• Readout framing: readout design, then stock sizing (binary-risk expected value), then historical analogue comparison.

Data Source Priority

1. search_clinical_trials / get_clinical_trial — design, status, endpoints, dates.
2. search_documents / read_source_* — sponsor disclosure, prior data cuts.
3. search_fda_approvals — regulatory history of the drug/program.
4. Knowledge layer: search_investment_cases(event_type=trial_readout|adcom_vote) + strategies for judgment frameworks.

Methodology

Retrieval Scope

unstructured_document_search

Retrieval Strategy

1. Pull the trial record (get_clinical_trial by NCT id, or search_clinical_trials by drug/ticker).
2. Assess design + endpoint quality against scrutiny axes.
3. Frame base/bull/bear outcomes with sizing.
4. Ground in historical readout/adcom cases via knowledge tools.

Temporal Scope

See frontmatter temporal_scope block.

Tool Allowlist

See frontmatter allowed_tools.

Protocol

1. Trial record
2. Scrutiny-axes assessment
3. Outcome scenarios + sizing
4. Analogue grounding

Modes

• Pre-readout (default): design scrutiny + scenario sizing.
• Post-readout: results evaluation + reaction context.
• Program view: multiple trials across a program.

Tool Fallbacks

Failure	Fallback
search_clinical_trials empty	Use filings + press via search_documents; annotate coverage_gap
Trial record thin	Note undisclosed fields; do not fabricate
Knowledge tools empty	Proceed with structured data + static frameworks

Output File

{ticker}/{YYYY-MM-DD_HHMM}_trial-readout-analysis_{affix}.md

Output Structure

1. Executive Summary — readout stance in 2-3 sentences
2. Trial Profile — design, endpoints, status, dates
3. Scrutiny Assessment — the six axes with evidence
4. Outcome Scenarios — base/bull/bear with sizing
5. Historical Analogues — cases with /v/ citations
6. Coverage Gaps — degraded flags

Error Handling

Error	Fallback
NCT id unknown	Search by drug/ticker; flag if unresolved
Endpoints undisclosed	Flag explicitly; scrutiny limited to disclosed data

Memory Load

See contracts/memory-load.md.

Snapshot

See contracts/snapshot-synthesis.md.

Final Summary (TUI)

Include ### Key Citations block with 0-10 clickable /v/ URLs.

References

• contracts/citation-and-memory.md
• contracts/output-frontmatter-schema.md
• contracts/memory-load.md
• contracts/snapshot-synthesis.md
• contracts/preflight.md
• references/knowledge-frameworks.md