LVHI/USD
OfflineFRANKLIN INTL LOW VOLATILITY HIGH DIVIDEND INDEX / US DOLLAR · Equity
Price
—
Confidence (±)
—
±0.0000%
Last Update
—
Quote
USD
Confidence Band
———
Pyth Feed ID
0x11fd39a5190ef6b07c711e2665075fd0b29650bc1e7ea2bddf4a3a441132ccbc
Price History· 7 days · Pyth Benchmarks + live stream
About the LVHI/USD Pyth feed
The LVHI/USD feed (FRANKLIN INTL LOW VOLATILITY HIGH DIVIDEND INDEX / US DOLLAR) is an aggregated equity price published on-chain by the Pyth Network — a first-party oracle sourcing quotes from institutional publishers including exchanges, market makers and trading firms. Each update carries a confidence interval (±), an exponent and a publish timestamp, currently around $0.000. PythFeeds streams this feed live from the Hermes API and surfaces its staleness so you can see exactly how fresh the oracle price is.
On-chain (Solidity)
// Read LVHI/USD on-chain with the Pyth pull oracle
bytes32 constant LVHI_USD =
0x11fd39a5190ef6b07c711e2665075fd0b29650bc1e7ea2bddf4a3a441132ccbc;
PythStructs.Price memory p =
pyth.getPriceNoOlderThan(LVHI_USD, 60); // revert if >60s stale
// real price = p.price * 10 ** p.expoOff-chain (Hermes API)
// Fetch the latest LVHI/USD price off-chain (Hermes REST)
const id = "0x11fd39a5190ef6b07c711e2665075fd0b29650bc1e7ea2bddf4a3a441132ccbc";
const res = await fetch(
`https://hermes.pyth.network/v2/updates/price/latest?ids[]=${id}&parsed=true`
);
const { parsed } = await res.json();
const p = parsed[0].price;
const price = Number(p.price) * 10 ** p.expo;