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Pyth Network vs Phantom Staked SOL Staking

Side-by-side comparison of PYTH and PSOL staking yields, risk, and key metrics. Updated every 4 hours.

Pyth Network
Pyth Network
PYTH
8.00%
APY
Phantom Staked SOL
Phantom Staked SOL
PSOL
6.45%
APY

Detailed comparison

Metric
Pyth Network (PYTH)
Phantom Staked SOL (PSOL)
Staking APY
8.00%Winner
6.45%
Price
$0.05
$89.27
Market Cap
$266.49MWinner
$118.90M
Total Staked
$75.09M
$118.91MWinner
Staking Ratio
30.0%
100.0%
Risk Level
medium
medium
Staking Type
native
liquid
Blockchain
Solana
Phantom Staked SOL
Min Stake
0.01 PYTH
None

Pyth Network vs Phantom Staked SOL: which should you stake?

Pyth Network currently offers the higher APY at 8.00% compared to Phantom Staked SOL's 6.45%. That's a 1.55 percentage point difference in annual yield.

In terms of market cap, Pyth Network is the larger asset at $266.49M, which generally indicates more liquidity and lower volatility risk.

Both assets can be staked through various platforms and protocols. Consider diversifying across both rather than choosing one exclusively — this spreads your risk across different networks and ecosystems.

Pyth Network vs Phantom Staked SOL — common questions

Is Pyth Network or Phantom Staked SOL better for staking?

Pyth Network currently offers a higher staking APY at 8.00% compared to Phantom Staked SOL's 6.45%. However, the best choice depends on your risk tolerance, investment horizon, and portfolio strategy.

What is the APY difference between Pyth Network and Phantom Staked SOL?

Pyth Network offers 8.00% APY while Phantom Staked SOL offers 6.45% APY — a difference of 1.55 percentage points.

Which is safer to stake: PYTH or PSOL?

Pyth Network has a medium risk rating while Phantom Staked SOL has a medium risk rating. Lower risk typically means a more established network with stronger validator infrastructure.

Can I stake both PYTH and PSOL?

Yes, diversifying across multiple staking assets is a common strategy. Staking both Pyth Network and Phantom Staked SOL spreads your risk across different networks and protocols.

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