agentii-ai/agentii-investment-intelligence · Apache-2.0
trade-template
Standardized trade idea template, multi-method price target derivation PE and sales multiple approaches, GAAP to non-GAAP reconciliation, base bull bear scenario construction, investment thesis structuring, Zendesk-style case methodology
Contents
> Methodology fused from professional trading and investment frameworks; all text is an original paraphrase.
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| target_horizon_months | 12 | Standard forward price target horizon |
| scenario_probability_sum | 100% | Bear + Base + Bull must sum to 100% |
| default_position_size | 3-5% | Standard single-position risk allocation |
Preflight
Run canonical pre-flight per contracts/preflight.md. Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md — carry the _run_id from your first tool result and name yourself (and your parent, if you were spawned).
Data Source Priority
- Upstream outputs — quantitative screening results + qualitative filtering assessment
- Market data — current price, sector multiples, historical ranges via market data tools
- Strategy frameworks —
search_investment_strategies(kind=thesis)for thesis construction methodology
Methodology
Retrieval Scope
structured_only
Retrieval Strategy
Ownership & insider signals: search_institutional_holdings (top-10 holders + whale portfolios, direction=accumulating|reducing|new|exited) and search_insider_trades (Form-4 transactions with SEC URLs) are available as signal inputs.
Branch (d) Simple Lookup from contracts/retrieval.md: template methodology is embedded in this Protocol. Market data from data tools. Strategy frameworks via search_investment_strategies for thesis construction validation.
Temporal Scope
See frontmatter temporal_scope block.
Tool Allowlist
See frontmatter allowed_tools.
Protocol
This skill converts quantitative and qualitative analysis outputs into a structured, actionable trade template. A trade idea without a template is an opinion; with a template, it is a testable hypothesis. Every trade outcome becomes a learning data point because the template captures what was known and assumed at entry.
Detailed methodology: price target derivation with formulas, comps spreading workflow, GAAP/non-GAAP rules, scenario construction with probability calibration, and position sizing framework are in references/template-methodology.md.
Steps
- Data Assembly: Gather all upstream outputs (quant metrics, financial validation, qual assessments, management/board flags, peer group, macro bias). Organize into template sections. Flag gaps — incomplete templates cannot support capital allocation.
- Price Target Derivation (three methods, blend by business model per reference weights table):
- P/E: Justified P/E triangulated from: historical range 25th-75th percentile, PEG-implied (growth × sector PEG), sector median with growth adjustment. Upper/lower bounds from bull/bear EPS × quartile multiples.
- EV/EBITDA: For capital-intensive, highly levered, M&A contexts. Sector median ± growth/margin/ROIC adjustment. Target equity = Target EV − Net Debt.
- Sales Multiple: For pre-profit/cyclical. Adjust for margin profile (5% margin at 2x P/S > 20% margin at 4x P/S). Recurring revenue premium.
- Blend: asset-light 60/30/10 (PE/EV-EBITDA/PS), capital-intensive 30/50/20, financials 50/—/50(P/B), pre-profit —/30/70.
- Trading Comps Spreading: Select 4-6 peers via dual-path. Spread revenue, EBITDA, EBIT, EPS, FCF (3yr historical + 2yr forward). Normalize for SBC/amortization/non-recurring differences. Calendarize different fiscal years. Output median + quartiles. Target multiple = peer median ± adjustment for growth, margin, ROIC, leverage, liquidity.
- GAAP/non-GAAP Reconciliation: Identify all differences (SBC, amortization, restructuring, impairments, litigation, M&A, asset sales, debt extinguishment, tax). SBC: always include for true economic cost; may exclude for comps ONLY with flag. SBC > 10% revenue = structural issue. "Non-recurring" in 3+/4 quarters = recurring. Normalized = GAAP NI + justified adjustments. Show GAAP alongside.
- Scenario Construction: Base 55% (consensus + variant view), Bull 20% (all catalysts, multiple expansion), Bear 25% (catalyst failure, contraction). Probabilities sum to 100%. Bear must be genuinely adverse. EV = Σ(Value × Prob). Margin of Safety = (EV/Price)-1. > 30% high conviction, 15-30% medium, < 15% watchlist.
- Thesis Statement: One paragraph, five elements: (1) consensus view, (2) variant view + why, (3) dateable catalyst, (4) quantified return, (5) key risk. Format: "Market believes [X]. We believe [Y] because [evidence]. Converges when [catalyst] within [timeframe], generating [return] against risk of [downside]." Avoid: describing company (no variant), no catalyst, too long, no risk.
- Position Sizing: Default 3-5%. Conviction: high→5%, medium→3-4%, low→watchlist. Binary catalyst→reduce 25-33%. R/R > 3:1→upper, 2:1-3:1→standard, < 2:1→skip. Correlation check: correlated with existing→reduce/replace. Hard Day-60 review: no catalyst→exit. Build football field. Handoff complete template.
Output File
{ticker}/{YYYY-MM-DD_HHMM}_trade-template_{affix}.md
Output Structure
- Executive Summary — Thesis in one paragraph, price target, expected return, conviction level
- Company Overview — Business description, sector, market cap, key financial summary
- Quantitative Summary — Key screening metrics, outlier classification, financial validation highlights, peer group
- Qualitative Summary — KPI assessment, MOP credibility (5-dimension scorecard), management/board quality flags, key catalyst(s)
- Price Target Derivation — PE method (justified P/E triangulation), EV/EBITDA method, Sales Multiple method, blended target with weights, cross-checks
- Trading Comps Output — Peer group with multiples, median/quartile statistics, calendarization notes, target multiple derivation
- GAAP/non-GAAP Reconciliation — Key adjustments with justification, SBC assessment, normalized earnings calculation
- Scenario Analysis — Bear (25%)/Base (55%)/Bull (20%) with probabilities, values, implied returns, probability-weighted expected value
- Investment Thesis — Market view vs. variant view (all 5 required elements), catalyst for convergence, timeframe
- Risk Assessment — Key risks, maximum adverse scenario, thesis invalidation triggers
- Position Recommendation — Suggested position size with conviction/catalyst/RR rationale, entry strategy
- Football Field Matrix — Trading comps vs. DCF vs. transaction comps vs. 52-week range vs. current price vs. target range
- Coverage Gaps — Data limitations, assumptions flagged for monitoring
Error Handling
| Error | Fallback |
|---|---|
| Insufficient data for price target | Use single-method approach; flag low confidence |
| GAAP/non-GAAP data unavailable | Use reported GAAP; flag potential distortion |
| No comparable peer group | Use historical company multiples; flag peer gap |
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
references/template-methodology.mdcontracts/citation-and-memory.mdcontracts/output-frontmatter-schema.mdcontracts/memory-load.mdcontracts/snapshot-synthesis.mdcontracts/preflight.mdcontracts/retrieval.md
Provenance
Authored by agentii-ai in agentii-ai/agentii-investment-intelligence. The content is mirrored here under its upstream license.