Efficient-frontier points and weights
API · /portfoliooptimizer-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 health
healthy- Uptime
- 100.00%
- Server probes · 24h
- Avg latency
- 95 ms
- Server probes · 24h
- Subscribers
- 4,857
- active
- Total calls
- 4
- last 7 days
Pricing
Pick a tier — billed monthly, cancel anytime.
Free
Free
- 4,200 calls / month
- 2 requests / second
- Hard cap (429 above quota, no overage)
- 4,200 calls/month
- 2 req/sec
- Optimize + frontier + stats
- No credit card
Starter
€9.40 /month
- 85,000 calls / month
- 6 requests / second
- Hard cap (429 above quota, no overage)
- 85,000 calls/month
- 6 req/sec
- Min-variance & max-Sharpe weights
- Email support
Pro
€26.80 /month
- 450,000 calls / month
- 18 requests / second
- Hard cap (429 above quota, no overage)
- 450,000 calls/month
- 18 req/sec
- Robo-advisor & allocation pipelines
- Priority support
Business
€62.00 /month
- 2,800,000 calls / month
- 45 requests / second
- Hard cap (429 above quota, no overage)
- 2,800,000 calls/month
- 45 req/sec
- Asset-manager scale
- Dedicated SLA
Built by
Related APIs
Other APIs with overlapping tags.
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
Dollar-Cost Averaging API
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
Monte Carlo API
Live Monte-Carlo simulation for price and portfolio forecasting that quants, traders and planners run to model uncertainty — computed on demand and reproducibly, no key, nothing cached. Run a geometric-Brownian-motion simulation of an asset and get the terminal-price distribution (percentiles, mean, probability of a gain); get the modelled chance of reaching a target price; project wealth over many years with periodic contributions (a retirement / savings projection); and return one sample price path for charting. Every run is seeded, so the same inputs always give the same numbers. A forward-looking simulation engine, distinct from historical-statistics and option-pricing tools — it turns a drift and volatility into a distribution of outcomes.
api.oanor.com/montecarlo-api
Risk Metrics API
Live risk-adjusted-return analytics that quants and portfolio managers run on a return or price series — computed on demand, no key, nothing cached. Get the Sharpe ratio with annualised return and volatility; the Sortino ratio using downside deviation; periodic and annualised volatility, downside deviation and semivariance; and historical and parametric Value-at-Risk plus Conditional VaR (Expected Shortfall) at any confidence level. Every value is computed live from your input and works for any market — forex, stocks, crypto or funds. A risk-statistics engine, distinct from raw price feeds, from technical-indicator tools and from option-pricing tools: it turns a series of returns into the risk-adjusted performance numbers a strategy is judged on.
api.oanor.com/riskmetrics-api
Frequently asked questions
Quick answers about pricing, quotas, and integration.
How do I get an API key for Portfolio Optimizer API?
What's the rate limit for Portfolio Optimizer API?
How much does Portfolio Optimizer API cost?
Can I cancel my subscription anytime?
Is Portfolio Optimizer API GDPR-compliant?
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/portfoliooptimizer-api/SOME_PATH \
-H "x-oanor-key: oanor_test_..."
const res = await fetch("https://api.oanor.com/portfoliooptimizer-api/SOME_PATH", {
headers: { "x-oanor-key": "oanor_test_..." }
});
const data = await res.json();
$ch = curl_init("https://api.oanor.com/portfoliooptimizer-api/SOME_PATH");
curl_setopt($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/portfoliooptimizer-api/SOME_PATH",
headers={"x-oanor-key": "oanor_test_..."},
)
print(r.json())
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