DCA outcome + lump-sum comparison
API · /dca-api
Dollar-Cost Averaging API
healthy
3,103 Subscribers
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
API health
healthy- Uptime
- 100.00%
- Server probes · 24h
- Avg latency
- 88 ms
- Server probes · 24h
- Subscribers
- 3,103
- active
- Total calls
- 4
- last 7 days
Pricing
Pick a tier — billed monthly, cancel anytime.
Free
Free
- 5,550 calls / month
- 3 requests / second
- Hard cap (429 above quota, no overage)
- 5.55k calls/month
- 3 req/sec
- Calculate, schedule & compare
- No credit card
Starter
€5.75 /month
- 123,000 calls / month
- 12 requests / second
- Hard cap (429 above quota, no overage)
- 123k calls/month
- 12 req/sec
- Email support
Pro
€16.20 /month
- 578,000 calls / month
- 30 requests / second
- Hard cap (429 above quota, no overage)
- 578k calls/month
- 30 req/sec
- Priority support
Business
€39.20 /month
- 3,430,000 calls / month
- 60 requests / second
- Hard cap (429 above quota, no overage)
- 3.43M calls/month
- 60 req/sec
- Dedicated SLA
Built by
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api.oanor.com/ipo-api
Dividend & Valuation 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
Portfolio Optimizer API
Live mean-variance (Markowitz) portfolio optimisation that quants and allocators run across a basket of assets, computed on demand from the price series you pass in — no key, no cache, nothing stored. The optimize endpoint returns the two cornerstone portfolios: the minimum-variance portfolio and the maximum-Sharpe (tangency) portfolio, each with its optimal weights, expected return, volatility and Sharpe ratio. The frontier endpoint traces the efficient frontier — a set of optimal risk/return points and the weights that achieve them — so you can plot the whole risk/return curve. The stats endpoint returns the per-asset annualised return and volatility plus the full correlation and covariance matrices, the raw material behind the optimisation. It exploits diversification: by combining assets with low or negative correlation the optimiser finds a portfolio whose volatility is lower than any single holding. Works for any basket — stocks, funds, ETFs, crypto, FX or commodities. This is a multi-asset allocation engine, fundamentally different from single-asset risk and CAPM tools: it answers how to weight several assets together, not how one behaves. Weights can be negative, representing a short leg, as in classic unconstrained Markowitz. Computed locally and deterministically, so it is instant and private. Ideal for robo-advisors, portfolio dashboards, asset-allocation research and back-tests. Rates are fractions (0.02 = 2%). Live, nothing stored. 3 compute endpoints. For single-asset Sharpe/drawdown use a risk-metrics API; for beta use a CAPM API.
api.oanor.com/portfoliooptimizer-api
CAPM & Beta API
Live capital-asset-pricing-model and systematic-risk analytics that quants and portfolio managers run on an asset against a market benchmark, computed on demand from the two series you pass in — no key, no cache, nothing stored. The beta endpoint regresses an asset's returns on the market's and returns the beta, the alpha (per period and annualised), the correlation and the R-squared, so you see how strongly the asset tracks the market and how much it amplifies it. The capm endpoint returns the CAPM expected return — risk-free rate plus beta times the market risk premium — and Jensen's alpha, the excess over what beta says the asset should earn; it also has a direct mode where you pass beta, market return and risk-free rate with no series. The treynor endpoint returns the Treynor ratio, the reward per unit of systematic (market) risk. This measures risk relative to a market — systematic risk — which is fundamentally different from single-series total-risk tools: it needs two series and answers how an asset moves with, and is priced against, the market. Works for any asset against any benchmark: stocks, funds, crypto, FX or a whole portfolio. Computed locally and deterministically, so it is instant and private. Ideal for portfolio analytics, factor and risk dashboards, fund fact-sheets and back-tests. Rates are fractions (0.02 = 2%). Live, nothing stored. 3 compute endpoints. For single-series Sharpe/volatility/drawdown use a risk-metrics API.
api.oanor.com/capm-api
Frequently asked questions
Quick answers about pricing, quotas, and integration.
How do I get an API key for Dollar-Cost Averaging API?
Sign up for free at oanor.com, generate an API key from the developer dashboard, and call Dollar-Cost Averaging API with the x-oanor-key header. No credit card needed for the free tier.
What's the rate limit for Dollar-Cost Averaging API?
Free tier allows 1 request per second. Paid plans scale up to 50 requests per second on the Mega tier. Hard limits return HTTP 429 above the quota — no surprise overage charges.
How much does Dollar-Cost Averaging API cost?
Dollar-Cost Averaging API has a free tier with 100 calls / month. Paid plans start at €5.75 / month with higher quotas and faster rate limits.
Can I cancel my subscription anytime?
Yes. Plans are billed monthly and you can cancel anytime from your billing dashboard. No long-term contracts and no cancellation fee.
Is Dollar-Cost Averaging API GDPR-compliant?
All requests to Dollar-Cost Averaging API go through our EU-based gateway. Your upstream API key never leaves our server and no personal data is shared with the upstream provider beyond the request you send.
Pick an endpoint from the list on the left to see its details and try it.
Code snippets
Sign up to get an API key, then call any path under your slug.
curl https://api.oanor.com/dca-api/SOME_PATH \
-H "x-oanor-key: oanor_test_..."const res = await fetch("https://api.oanor.com/dca-api/SOME_PATH", {
headers: { "x-oanor-key": "oanor_test_..." }
});
const data = await res.json();$ch = curl_init("https://api.oanor.com/dca-api/SOME_PATH");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, ["x-oanor-key: oanor_test_..."]);
$response = curl_exec($ch);import requests
r = requests.get(
"https://api.oanor.com/dca-api/SOME_PATH",
headers={"x-oanor-key": "oanor_test_..."},
)
print(r.json())Ratings
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