#tail-risk

Ranks the major markets by how brutal their bad days are, computed live from Yahoo Finance daily closes — no key, nothing stored. Volatility and the Sharpe ratio assume returns are symmetric and well-behaved, but the losses that actually blow up a book live in the left tail — the rare, deep down-days a standard-deviation number smooths away. This API measures that tail directly. For each market it returns Value-at-Risk (the daily loss not exceeded on 95% / 99% of days, both the historical percentile and the normal-distribution parametric estimate), the Conditional VaR / Expected Shortfall (the average loss on the worst days, beyond VaR — how bad the bad days really are), and the shape of the return distribution: skewness (negative = crash-prone, a long left tail) and excess kurtosis (high = fat-tailed, outlier-prone). The asset endpoint returns one instrument's full tail-risk profile; the screener endpoint ranks the cross-asset universe (equities, sectors, commodities, bonds, FX and crypto; filterable by class) from the most tail-risky to the safest. This is the cross-asset distribution-tail / VaR-CVaR cut — distinct from the bring-your-own-series risk-metrics engine, the crypto-only coin risk scorecard, the drawdown-pain (Ulcer) screener and the volatility APIs. It is the left tail, measured across the whole book.

api.oanor.com/tailrisk-api

The full risk scorecard of any coin, computed live from its Binance daily candles — no key, nothing stored. Volatility alone hides what matters most for risk: the tails. This returns the Value at Risk (the daily loss not exceeded on 95% / 99% of days), the Conditional VaR / expected shortfall (the average loss on the worst days, beyond VaR), the skewness and excess kurtosis of the return distribution (how asymmetric and how fat-tailed it is — crypto is famously fat-tailed), the maximum drawdown, and the risk-adjusted return ratios (Sharpe and Sortino). The profile endpoint returns the whole scorecard for one coin; the drawdown endpoint returns the worst peak-to-trough decline with its peak, trough and depth plus the current drawdown from the high; the compare endpoint ranks a basket of coins by risk-adjusted return so you can see which carries the most tail risk per unit of return. This is the coin-native risk-distribution / tail-risk cut for crypto — distinct from the generic risk-metrics, CAPM and trade-stats APIs (which compute on a series you pass in) and from the realised-volatility API (which has no VaR, skew, kurtosis or drawdown). Coins are Binance bases (BTC) or symbols (BTCUSDT); the quote defaults to USDT and the window is 30-1000 days. Risk-free rate is assumed 0.

api.oanor.com/cryptorisk-api