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Methodology

Volatility

Volatility drives every cost of LPing: the more a price moves, the more an LP loses to arbitrage and the more often a range has to be re-centred. rangebound uses the most cautious of several measurements.

The measurements

All yearly rates.

MeasureWhat it is
RV 1h, 1d, 5dRealised volatility of the listed underlying from 5-minute returns during US market hours
RV 20dRealised volatility from the last 20 daily closes
IV 30dImplied volatility of the underlying's at-the-money options about 30 days out
On-chain RV 24h, 7dRealised volatility of the token's own pool price, around the clock

Session realised volatility ignores the overnight gap, so outside US hours it describes the last session. On-chain realised volatility fills that gap: it comes from the pool itself, 24/7, so an overnight sell-off in the token raises it even while the stock is closed.

The volatility in use (σ)

σ = the largest of: IV 30d, RV 5d (session), on-chain RV 7d

Taking the largest makes the costs conservative. The source used is shown next to σ wherever it appears, for example σ 34% · IV.

One-day readings don't set σ. Instead, when the last day's realised volatility is more than twice σ, the pool gets a Vol spike flag.

IV against RV

IV / RV = IV 30d ÷ RV 5d

Above 1.5, options are pricing a bigger move than the stock has made recently, often ahead of earnings or news, and the pool gets an IV ≫ RV flag.

Where you see it

The pool page's Volatility section shows every measure as a bar, highlights the one in use, and gives the resulting LVR for a full-range and a ±2% position.

Caveats

  • Thin pools read high on-chain. A trade pushes the price and arbitrage pulls it back, which looks like volatility. Five-minute sampling reduces this, but the thinnest pools can still read somewhat high.
  • No live reference overnight. When the US market is closed, there is no traded underlying to check the token against.
  • Market data is unofficial. Listed-market data comes from public sources, not an exchange feed.