القائمة
Value an equity against its peers — peer-median trading multiples applied to the company's metrics for an implied range, cross-read against its own valuation ratios.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Summarize the sell-side view on an equity — analyst price targets, forward EPS/revenue estimates and ratings — and corroborate it against recent guidance and estimate revisions from the web.
Estimate a public equity's intrinsic value with a discounted-cash-flow model — pull fundamentals, set a discount rate via CAPM/WACC, project free cash flow, and discount it.
A thorough single-equity deep dive — read the recent qualitative picture from the web, then ground it in fundamentals and health ratios, an intrinsic DCF with a sensitivity range, a comparable-company cross-check, and the analyst-consensus view.
Quick structured overview of a single public equity — identity, sector, market cap, valuation ratios, current price, recent trend.
| name | relative-valuation |
| description | Value an equity against its peers — peer-median trading multiples applied to the company's metrics for an implied range, cross-read against its own valuation ratios. |
| tags | ["equity","valuation","comps","relative-valuation","multiples"] |
| requires_tools | ["data_equity_reference","data_equity_ratios","data_equity_comps"] |
Where a name trades versus comparable companies, and whether that's deserved.
data_equity_reference to classify the company
(sector/industry); choose genuine comparables — similar business, scale, and
growth/margin profile, not just same-sector names.data_equity_ratios for its P/E,
EV/EBITDA, EV/revenue, P/S, plus the leverage/returns context that justifies
a premium or discount.data_equity_comps with the peer tickers — peer-median multiples
applied to the company's metrics give an implied value-per-share range vs
the current price. Report the medians, implied values, and range it returns
directly; they're already computed, so there's no need to re-derive them.