llm-finance-book

Value a public company's equity end-to-end (FCFE at CAPM cost of equity) with an IB deal team — multi-year EDGAR data, scenario forecasting, Monte-Carlo DCF, dual-source comps, a verification gate, and an investment-committee sign-off. Run `/valuation <cik|ticker>`.

Value a public company end-to-end from its CIK or ticker. Run `/valuation <cik|ticker>`. Orchestrates EDGAR fetch, three parallel valuation lanes (Monte-Carlo DCF, dual-source comparables, qualitative/risk), and reconciliation into a fair-value median + P10–P90, benchmarked against the real market price.

Generate a professional 2-page report on a publicly-traded company as a self-contained HTML website. Given a company name, orchestrates five subagents in order (Generalist, Data Retriever, Data Scientist, Financial Analyst, Report Writer) — pulling the latest 10-K from SEC EDGAR, cleaning the financials, analyzing them, and writing the report. Use when the user asks for a company report, equity write-up, or 10-K-based analysis. Triggers include "write a report on <company>", "company report for <X>", "/company-report".

One sentence on what this command does and when to invoke it. Usage /my-skill "<arg>"

Answer a question about the bundled NovaCorp filings, grounded and graded. Usage /ask "<question>"

Route a research question, gather grounded evidence, and write a cited brief. Usage /brief "<question>"

Run a finance text task through the general and finance-domain classifiers, score both against gold labels, and report which wins and why. Usage /compare

Score the bundled headlines, aggregate them into a daily signal, and write a grounded summary. Usage /sentiment [YYYY-MM-DD]

Screen the bundled transactions for AML red flags and draft a grounded SAR narrative. Usage /screen [--rule <name>]

Explain a credit decision for an applicant and draft a grounded adverse-action notice. Usage /explain <applicant>

Score a bundled model's answers against the gold finance QA set and report honest metrics + calibration. Usage /evaluate [predictions.json]

Extract structured fields from the bundled filing, write a grounded summary, grade it, and save a report. Usage /summarize

Detect and redact PII in the bundled document, then report the privacy/utility tradeoff. Usage /deidentify [path]

Run the end-to-end text-to-signal ML pipeline and save a grounded report. Usage /pipeline

Refine a draft summary until the deterministic target metric is met. Usage /iterate [max_passes]