Zyberno stock valuation

Runs a two-stage discounted cash flow on numbers you provide and returns the fair value per share, the margin of safety against the price you gave, and how much of the value sits in the terminal stage. Cash flow grows at your growth rate for the stage-one years, then forever at your terminal rate, with the terminal value from the Gordon Growth Model discounted back over the stage-one years. Use when the user wants to value a company under their own assumptions, test how sensitive a valuation is to the discount or growth rate, or check the arithmetic of a DCF they are building. Do not use it to look up what a company is worth on Zyberno's own assumptions, which is get_stock_valuation and uses a different, fade-based model; the two will not agree and are not meant to. This computes your assumptions, it does not endorse them. The output is arithmetic, and a two-stage DCF is highly sensitive to the discount and terminal rates, so treat a single result as one point rather than an answer.

Returns Zyberno's stored valuation record for a single US-listed company: Margin of Safety against a discounted cash flow estimate, the Brina Gap (the growth rate the business can fund from its own returns minus the growth rate its current price implies), the Brina Matrix quadrant those two produce together, the Zyberno quality score, and trailing twelve month fundamentals from SEC filings. Use when the user names a company or ticker and wants to know how it is valued. This is also the tool for questions phrased without the framework's vocabulary: what growth rate is priced into a stock, what the market expects from a company, what a reverse DCF on it implies, whether its growth expectations look too high or too low, or whether a cheap-looking stock is actually a value trap. Do not use it to find or rank companies (use screen_stocks), to retrieve the published monthly lists (use list_flagged_stocks), or for price quotes, charts, news, analyst ratings, earnings dates, or non-US listings, none of which this server holds. Records refresh on a rolling cycle of roughly two weeks per company, so figures can lag a company's newest filing for part of that cycle. Every response states the date its data was computed.

Returns a company's supply chain as the SEC annual reports state it: the suppliers it names and the customers that name it, each graded sole source, primary supplier or named, with the year the link was first reported, the share of revenue or of the input where a filing discloses one, and the sentence from the report with a link to it on SEC EDGAR. Also returns how many large companies name it as a supplier, how much of their market value depends on it, and links the reports stopped naming. Use when the user asks who supplies a company, who its customers are, which companies depend on it, how concentrated its suppliers or customers are, or what is exposed if it stops supplying. Do not use it for valuation (use get_stock_valuation) or to search across companies (use screen_stocks). Covers about 1,250 US-listed companies, from annual reports (10-K, 20-F) since 2013, updated nightly. Companies do not have to name their suppliers, so a missing link is not proof there is none. In Zyberno's tests these links did not predict share prices well enough to trade on: they describe a company and its risks.

Returns the Zyberno Market Valuation Score, a single 0 to 100 reading of how expensive the US equity market is relative to its own history, combining the Buffett Indicator, the Shiller PE, the 10 year minus 2 year Treasury curve and the Baa credit spread. Use for questions about the market as a whole, overall valuation levels, or whether US stocks broadly look expensive or cheap right now. Do not use it for any individual company, sector, or index price level, none of which it measures. The score measures present valuation against history. It is not a forecast and not a market timing signal.

無需輸入參數。

Returns the two lists Zyberno publishes each month from one fixed screen. The first holds companies where the Margin of Safety and the Brina Gap both read as undervalued, labelled Double Discount. The second holds companies that look cheap on trailing earnings power while the Brina Gap reads negative, labelled value trap. Takes no parameters: the thresholds, sector exclusions and ranking are fixed and match the published page. Use when the user asks what the framework currently flags, or asks about the Double Discount or value trap lists by name. Do not use it for custom criteria (use screen_stocks) or for one named company (use get_stock_valuation). Both labels describe where a company sits on two valuation measures at one moment. They are screen output, not recommendations, and neither label forecasts a return.

無需輸入參數。

Searches Zyberno's database of roughly 10,000 US-listed companies and returns those matching the numeric criteria you supply, ranked by a field you choose. All metrics are computed from SEC filings. Use when the user wants to find, filter, rank, or count companies by their characteristics rather than asking about one company by name. Omit any filter you do not want applied; omitting all of them ranks the whole covered universe. Do not use it for a single known ticker (use get_stock_valuation), and do not use it to reconstruct the published monthly lists, which apply their own fixed thresholds, sector exclusions and curation (use list_flagged_stocks). Filters combine with AND: a company must meet every one you supply, and a company missing a filtered metric is left out. Returns at most 25 companies plus the total number that matched, so a query that is too broad or too narrow reports its own breadth. Each result gives the ticker, name, market cap, margin of safety, Brina Gap, Zyberno Score and ROIC, with a link to the company's report.

Runs a Monte Carlo simulation over a portfolio balance and returns the distribution of possible end values: percentiles, mean, median, and if you give a goal amount, the share of simulated paths that reached it. Returns are drawn from a normal distribution using the expected return and volatility you supply. Use when the user asks about the range or probability of outcomes rather than a single projected number, for example the odds of reaching a target, or how much volatility widens the spread. Do not use it to value a company (use calculate_dcf_value or get_stock_valuation), and do not use it for retirement withdrawal, tax, or drawdown-sequencing questions, which it does not model. The simulation propagates the assumptions you give it. Normally distributed returns understate real market tail risk, and the output is a property of the inputs, not a prediction about any real portfolio.