Pyth Network

Q: What are the best exchanges for Pyth Network?

Pyth Network (PYTH) is traded on 80 exchanges. The highest volume exchange is Binance with $7.31M in 24-hour volume. The most popular trading pair is PYTH/USDT. We recommend choosing exchanges with high volume and tight spreads.

Q: What is the most liquid Pyth Network trading pair?

The most liquid Pyth Network pair is PYTH/USDT on Binance, with $6.05M in 24-hour volume.

Q: How many exchanges list Pyth Network?

Pyth Network is currently listed on 80 exchanges that we track. 13 pairs have over $1M in daily volume. The top 3 exchanges account for 19% of total trading volume.

Q: What is the average spread for Pyth Network across exchanges?

The average bid-ask spread across all Pyth Network trading pairs is 1.606%. Lower spreads indicate more liquid exchanges. The tightest spreads are typically found on the highest-volume exchanges.

Q: How concentrated is Pyth Network trading volume?

The top 3 exchanges for Pyth Network account for 19% of total 24-hour trading volume ($48.20M). Binance alone handles 15.2% of all PYTH trading activity.

PYTH

Rank #99

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Pyth Network price

$0.0802+9.02%

Price range

$0.072724h range$0.0803

Overview Price prediction Exchanges Price history Converter News

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Best Pyth Network (PYTH) exchanges / Crypto Street

Pyth Network exchanges

PYTH is traded on 80 exchanges across 125 trading pairs with $48.20M in 24-hour volume.

Highest volume

Binance

$7.31M

PYTH/USDT

Tightest spread

Bitunix

0.01%

$255K vol

Most pairs

Orca

11 pairs

$732K vol

Volume concentrationTop 3 exchanges

19%of total volume

Binance 15.2%MEXC 2.4%Kraken 1.7%

Price across exchangesSpread: $0.001266 (1.58%)

Best Pyth Network exchanges

BinancePYTH/USDT

$7.31MvolSpread: 0.14%3 pairs

Volume

100%

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MEXCPYTH/USDT

$1.18MvolSpread: 0.21%2 pairs

Volume

16%

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Pyth Network trading pair breakdown

Volume by quote currency

14 currencies · $48.20M total

$48.20M total

USDTStablecoin

$36.87M76%

KRWFiat

$2.88M6%

USDFiat

$2.79M6%

Pyth Network spread distribution

Liquidity verdict

20%tight pairs

Thin — limited tight-spread options

Avg spread

1.606%

median 0.364%

Best spread

0.01%

Worst

84.20%

Distribution122 pairs

<0.05%

0.05–0.1%

About Pyth Network exchanges

Pyth Network (PYTH) is actively traded on 80 cryptocurrency exchanges with a combined 24-hour volume of $48.20M. The highest volume exchange is Binance, accounting for 15.2% of total trading activity. The most popular trading pair is PYTH/USDT.

When choosing an exchange to trade PYTH, consider factors like trading volume (higher volume typically means better liquidity and tighter spreads), volume concentration (how much activity is concentrated on top exchanges), and the bid-ask spread (lower is better for frequent traders). All exchange data on this page refreshes every 60 seconds.

Pyth Network exchanges FAQ

What are the best exchanges for Pyth Network?

Pyth Network (PYTH) is traded on 80 exchanges. The highest volume exchange is Binance with $7.31M in 24-hour volume. The most popular trading pair is PYTH/USDT. We recommend choosing exchanges with high volume and tight spreads.

What is the most liquid Pyth Network trading pair?

The most liquid Pyth Network pair is PYTH/USDT on Binance, with $6.05M in 24-hour volume.

How many exchanges list Pyth Network?

Pyth Network is currently listed on 80 exchanges that we track. 13 pairs have over $1M in daily volume. The top 3 exchanges account for 19% of total trading volume.

What is the average spread for Pyth Network across exchanges?

The average bid-ask spread across all Pyth Network trading pairs is 1.606%. Lower spreads indicate more liquid exchanges. The tightest spreads are typically found on the highest-volume exchanges.

How concentrated is Pyth Network trading volume?

The top 3 exchanges for Pyth Network account for 19% of total 24-hour trading volume ($48.20M). Binance alone handles 15.2% of all PYTH trading activity.

Disclaimer: Exchange data is provided for informational purposes only. Trading volumes and spreads may differ from real-time exchange data. Always verify conditions on your chosen exchange before trading.