#investing

Live dollar-cost-averaging analytics that investors run to see how periodic buying plays out — computed on demand from the price series you pass in, no key, nothing cached. Get the outcome of investing a fixed amount each period (total invested, units accumulated, average cost, current value, profit and ROI) with a lump-sum comparison; the per-period breakdown; and a ranking of dollar-cost averaging against lump-sum, best-case and worst-case timing. Works for any market — stocks, crypto, ETFs or forex. A dollar-cost-averaging engine, distinct from compound-interest and return-analysis tools: it turns a price path and a contribution into the cost basis and outcome of buying over time.

api.oanor.com/dca-api

The live pipeline of US stock-market initial public offerings, served from Nasdaq's public IPO calendar — no key, nothing cached. This is the deal flow of companies going public, the data IPO investors and traders watch. The priced endpoint returns the IPOs that have just priced and begun trading, each with the ticker, company, exchange, offer price, shares offered, pricing date and total deal size. The upcoming endpoint returns the IPOs expected to price soon, with their price range and expected date — the near-term pipeline. The filed endpoint returns companies that have newly filed to go public, the earliest signal of a coming listing. The calendar endpoint returns the whole month in one call — priced, upcoming and filed — with counts. Any month back through the archive can be requested, and with no month it returns the current one. Everything is live from Nasdaq, nothing stored. This is the IPO-pipeline layer for any trading, investing, screener or finance app. Distinct from stock-quote and earnings APIs — this is the calendar of companies coming to market: priced, upcoming and freshly filed offerings. 4 endpoints, no key on our side.

api.oanor.com/ipo-api

Stock dividend and valuation fundamentals as an API, computed locally and deterministically — the per-share ratios value and income investors screen on. The dividend endpoint takes a share price and an annual dividend (per share, or total dividends ÷ shares) and returns the dividend yield, and with earnings per share the payout ratio (dividend ÷ EPS), the dividend coverage (EPS ÷ dividend) and the retention ratio — a $2 dividend on a $50 share yields 4 %, and on $4 EPS is a 50 % payout covered twice. The valuation endpoint computes the price-to-earnings ratio, earnings yield, the PEG ratio against a growth rate, the price-to-book ratio and the Graham number √(22.5 · EPS · book value) — Benjamin Graham's rough fair-value ceiling. The ddm endpoint runs the Gordon Growth dividend discount model, fair value = D1 ÷ (r − g) from next year's dividend, the required return and the perpetual growth rate, and against a market price flags whether the share looks under- or over-valued and the implied cost of equity. Everything is computed locally and deterministically, so it is instant and private. Ideal for investing, brokerage, robo-advisor, dividend-screener and fintech app developers, stock-valuation and income-portfolio tools, and finance education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 compute endpoints. These are valuation ratios from your inputs; for live quotes use a market-data API and for project DCF/NPV an investment-appraisal API.

api.oanor.com/dividend-api