PythFeeds is a real-time price dashboard powered by Pyth Network oracle data. It streams live prices for 600+ assets — crypto, US equities, metals, commodities and forex — with confidence intervals and sub-second updates.

How is PythFeeds different from CoinGecko or CoinMarketCap?

PythFeeds surfaces oracle-grade data: every price comes with a confidence interval (price ± conf) and a publish timestamp for staleness detection, sourced from institutional publishers (exchanges, market makers). Aggregator sites combine tier-2 APIs; PythFeeds shows the same data used by on-chain smart contracts.

What is a Pyth confidence interval?

A Pyth confidence interval is a bound on how certain the oracle is about a price. Real price is approximately price ± conf. For lending, conservative practice uses price − conf for collateral and price + conf for debt, to stay safe against price uncertainty.

Is PythFeeds free to use?

Yes. PythFeeds is free. Price data is sourced from the public Pyth Network Hermes API. Solana swaps execute on-chain via Jupiter; PythFeeds never custodies user funds.

What blockchains does PythFeeds swap on?

Swaps execute on Solana via the Jupiter aggregator. Price validation uses Pyth Hermes feeds to ensure trades reference oracle-accurate rates.

How does the correlation matrix work?

PythFeeds computes Pearson or Spearman correlation on log returns (not raw prices — using returns removes trend bias). It also shows per-asset β vs BTC, annualized volatility σ, a diversification score, rolling correlation sparklines, and clustering order to reveal asset groupings.

Is Solana a better investment than Avalanche?

PythFeeds does not provide investment advice. The table above shows objective metrics: price, market cap, supply, volume and recent change. Pair that with the SOL and AVAX correlation, beta and volatility on the correlation page to form a view.

How much AVAX can I get for 1 SOL?

At current oracle prices, 1 SOL ≈ 9.216282 AVAX. Conversely, 1 AVAX ≈ 0.108504 SOL. Rates stream from Pyth Network and update every few seconds.

What's the market-cap ratio of SOL to AVAX?

Solana is $49.89B; Avalanche is $4.06B. Ratio ≈ 12.28x.

Where do these prices come from?

Prices are sourced from Pyth Network's Hermes API when a feed exists for the asset (sub-second updates with confidence interval). Market-cap and supply data come from CoinGecko.

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Price comparison

Solana vs Avalanche (SOL vs AVAX)

Side-by-side live comparison of Solana and Avalanche powered by Pyth Network oracle data. Prices, market caps, supply and recent performance update automatically.

Open interactive compare →

$86.73	Price (USD)	$9.41
-3.86%	24h change	-5.03%
+2.41%	7d change	+0.95%
$49.89B	Market cap	$4.06B
$3.29B	24h volume	$285.65M
$293.31	All-time high	$144.96
575,383,584.82	Circulating supply	431,771,961.177
Uncapped	Max supply	720,000,000

Quick cross-rate

1 SOL ≈ 9.216282 AVAX — 1 AVAX ≈ 0.108504 SOL

Want live conversion at any amount? Open the converter for SOL → AVAX →

About this comparison

This page is auto-updated from Pyth Network price feeds and CoinGecko metadata. Numbers above reflect the latest successful fetch — Solana at $86.73 and Avalanche at $9.41. For an interactive view with sparkline overlay, switch to the full compare tool with SOL & AVAX preloaded.

Frequently asked

Is Solana a better investment than Avalanche?: PythFeeds does not provide investment advice. The table above shows objective metrics: price, market cap, supply, volume and recent change. Pair that with the SOL and AVAX correlation, beta and volatility on the correlation page to form a view.
How much AVAX can I get for 1 SOL?: At current oracle prices, 1 SOL ≈ 9.216282 AVAX. Conversely, 1 AVAX ≈ 0.108504 SOL. Rates stream from Pyth Network and update every few seconds.
What's the market-cap ratio of SOL to AVAX?: Solana is $49.89B; Avalanche is $4.06B. Ratio ≈ 12.28x.
Where do these prices come from?: Prices are sourced from Pyth Network's Hermes API when a feed exists for the asset (sub-second updates with confidence interval). Market-cap and supply data come from CoinGecko.

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