WealthVille
SOL
S
PYTH
P

SOL-PYTHon Raydium CLMMCLMMHigh Yield

Chain
Solana
TVL
TVL $394.00K
APR
88.3% APR
24h Volume
$267.17K 24h vol
Fee tier
0.25% fee
Pool address
9n3dSLrE…aXaC · observed 2026-10-24
55C · Fair

Wealthville Score

Verdict HOLD · 54% confidence

ai_engine=hold
How this score works →
Enter50

new capital

Hold62

keep position

Exit19

urgency to leave

The Wealthville Score of 55/100 combines an Enter score of 50/100, Hold score of 62/100, and Exit score of 19/100; the live verdict is HOLD, with ai_engine=hold as the stated driver. Its position at #1258 of 9963 raydium-clmm pools places it well above the median ranking by count, but the score does not establish that the current fee rate will persist. A sustained TVL drain, declining swap activity, lower fee APR, or materially worse range utilization would weaken the hold assessment; persistent fee generation with stable liquidity would support it.

Computed 2026-10-24 20:17 UTC from on-chain yield, liquidity-depth, and risk signals. Not financial advice.

Liquidityhelp

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$394.00K

Total value locked

$267.17K

24h volume

×0.7 turnover

Yieldhelp

trending_up

88.3%

advertised APR

Fee yield, annualized

≈ 77.7%

adjusted · net of IL (est.)

0.25% fee

My Position

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Live DataUpdated 62m agoTVL ↓4.5%
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AI Verdict

Wait & Monitor

WealthVille AI evaluation verdict for this liquidity pool investment opportunity.

check_circleFee-driven yield: 72% of APR from trading fees
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Set the initial SOL-PYTH range around the current pool price with enough width to cover the expected trading band, then rebalance when price approaches either outer boundary rather than waiting until the position is fully out of range. If SOL or PYTH begins making sustained directional moves, reduce range width only when able to monitor and rebalance frequently; otherwise use a wider band and accept lower capital efficiency.

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Performance Breakdown

Metric24h / Day7d / Week30d / Month
Total APR88.3%——
Fee APR63.4%——
Volume$267.17K——
Fees Earned$667.93——

Data sourced from Raydium Protocol, Birdeye, and DexScreener. Updated every snapshot cycle.

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Efficiency Metrics

Computed

Deterministic efficiency metrics computed from on-chain data for this liquidity pool. All values are calculated directly from pool analytics — not AI-generated.

Sustainable Gross APY
82.3%(trailing 7d fees)
Impermanent-Loss Drag
−4.6%(realized, 30d annualized)
Adjusted Net APY (est.)
77.7%(after IL + repositioning)
Volume / TVL Ratio (24h)
0.68x
Fee Yield per $1 TVL / Day
$0.0017
Fee APR Sustainability
72% from trading fees(sustainable)
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Pool Rankings

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#4 of 15 SOL-PYTH pools

by AI Farmer Score

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#420 of 19497 on raydium-clmm

by AI Farmer Score

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Top 2% of all Solana pools

overall rank #2459 of 148664

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How This Pool Works

Beginner Friendly

This page provides real-time AI analytics and performance data for the SOL-PYTH liquidity pool on Raydium CLMM. Data is sourced from on-chain Solana activity, Birdeye, DexScreener, and CoinGecko.

Providing liquidity here means depositing SOL and PYTH into a pool so traders can swap between them, earning a share of trading fees. Your holdings can shift toward one token when their prices move apart, and a concentrated position may stop earning fees if price leaves its chosen range.

description

Pool Analysis

trending_upYield Source Breakdown

The stated yield decomposes into 63.4% from trading fees and 25.0% from rewards. Fee sustainability is 72%, so the return profile depends on continued swap volume rather than an incentive program. Reward duration and remaining reward inventory are not established in the supplied metrics; fee income should therefore be treated as variable with volume.

shieldRisk Assessment

Recent seven-day impermanent-loss history and tick-in-range history are not available in the supplied metrics, so realized IL and the frequency of active-range exposure cannot be quantified here. As a BLUECHIP-family pool, SOL-PYTH still requires the standard concentrated-liquidity IL math: divergence between SOL and PYTH changes the position's token mix, while price movement beyond the selected ticks leaves liquidity inactive and stops fee generation on that capital. Narrow rebalance bands can improve capital efficiency but increase management frequency and the chance of becoming out of range.

tollSOL Context

SOL is the network's base asset and has substantial liquidity across Solana venues, which generally supports execution and rebalancing. For this LP, SOL price movement relative to PYTH changes inventory composition; a sharp SOL move can push the position toward one token or outside its active ticks, increasing divergence risk and reducing fee capture.

tollPYTH Context

PYTH is a Solana-linked oracle token with liquidity distributed across multiple markets, but its market depth and volatility can differ materially from SOL's. PYTH-specific price moves are therefore a primary source of relative-price divergence in this pool, affecting both impermanent loss and how quickly a concentrated range becomes one-sided or inactive.

lightbulbSimple Explanation

Providing liquidity here means depositing SOL and PYTH into a pool so traders can swap between them, earning a share of trading fees. Your holdings can shift toward one token when their prices move apart, and a concentrated position may stop earning fees if price leaves its chosen range.

token

Token Details

SOL
SOLWrapped SOLSolana

Solana is a high-performance blockchain supporting builders around the world creating crypto apps that scale today.

PYTH
PYTHPyth NetworkSolana
Explorer

Pyth Network (PYTH) — one of the two assets paired in this liquidity pool.

info

Pool Details

Pool Address
9n3dSLrERZQp95dHXywft7xV8D8xnGFLaUHtEhQVaXaC
Protocol
Raydium CLMM
Chain
solana
Fee Tier
—
Pool Type
Concentrated Liquidity (CLMM)
Token A
SOL (So111111…)
Token B
PYTH (HZ1JovNi…)
Created
4/20/2026
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Non-Custodial

Your funds are never held by WealthVille. All positions are on-chain.

source

Verified Data Sources

Raydium, Birdeye, DexScreener, CoinGecko, LlamaYield

psychology

AI-Powered Analysis

Proprietary scoring model trained on historical Solana DeFi data

⚠️ WealthVille AI analytics are for informational purposes only. APR, TVL, and AI scores are based on historical and real-time data and do not constitute financial advice. DeFi investments carry significant risk including impermanent loss and smart contract risk. Always do your own research.

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Frequently Asked Questions

It is a fee-dependent pool with $394K of liquidity, 88.3% total APR, and 0.68x volume-to-liquidity. The live assessment is HOLD, so the current data supports monitoring and holding rather than treating the quoted APR as guaranteed.

It is a fee-dependent pool with $394K of liquidity, 88.3% total APR, and 0.68x volume-to-liquidity. The live assessment is HOLD, so the current data supports monitoring and holding rather than treating the quoted APR as guaranteed.

The fee-only APR is 63.4%, while reward-only APR is 25.0%. Fee sustainability is 72%, meaning the stated return is attributed to trading fees rather than rewards.

The fee-only APR is 63.4%, while reward-only APR is 25.0%. Fee sustainability is 72%, meaning the stated return is attributed to trading fees rather than rewards.

A current quantified estimate cannot be given because recent impermanent-loss history is not available in the supplied metrics. Expect risk whenever SOL and PYTH diverge in price, with concentrated liquidity potentially becoming inactive when price exits the selected range.

A current quantified estimate cannot be given because recent impermanent-loss history is not available in the supplied metrics. Expect risk whenever SOL and PYTH diverge in price, with concentrated liquidity potentially becoming inactive when price exits the selected range.

There is no universally best range without current volatility and tick-utilization history. A practical approach is to center the range on the current SOL-PYTH price, use a wider band if monitoring is limited, and rebalance before price reaches either boundary.

There is no universally best range without current volatility and tick-utilization history. A practical approach is to center the range on the current SOL-PYTH price, use a wider band if monitoring is limited, and rebalance before price reaches either boundary.

A CLMM allocates liquidity between chosen lower and upper ticks rather than across every possible price. Fees accrue while SOL-PYTH trades inside that range; as price moves through it, the position's token mix changes, and outside the range the position is effectively one-sided and no longer active for swaps.

A CLMM allocates liquidity between chosen lower and upper ticks rather than across every possible price. Fees accrue while SOL-PYTH trades inside that range; as price moves through it, the position's token mix changes, and outside the range the position is effectively one-sided and no longer active for swaps.

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Data-driven yield analysis and weekly market wraps — written for active LPs.

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