Peanut the Squirrel (PNUT) is tracked by TokenRadar as a Solana Ecosystem, Meme, Solana Meme, Pump.fun Ecosystem asset. Peanut the Squirrel is a crypto asset with market data available through CoinGecko. Data snapshot date: May 14, 2026. This overview focuses on market structure, historical reference points, liquidity, and risk context rather than buy or sell recommendations.
| Metric | Value |
|
|
|
| Price | $0.0580 |
| Market Cap | $58.03M |
| 24h Change | -3.87% |
| Market Rank | #458 |
| 24h Volume | $21.77M |
| ATH Distance | -97.62% |
Market Position for PNUT
Peanut the Squirrel trades at $0.0580 with a market cap of $58.03M and 24h volume of $21.77M. The latest ranked market snapshot places PNUT at #458 by market capitalization. The token is -97.62% from its all-time high of $2.44, recorded on November 14, 2024. Its all-time low is $0.0319, recorded on November 4, 2024, while the 30-day move is +33.36%. Circulating supply is 999,842,190.71, total supply is 999,842,190.71, and max supply is 1,000,000,000. The volume-to-market-cap ratio is 37.52%, which helps separate active markets from thin markets. A higher ratio usually means recent trading activity is easier to observe, while a very low ratio can make price changes less reliable as a signal.
TokenRadar Risk Context
TokenRadar currently assigns Peanut the Squirrel a risk score of 6/10, a growth potential index of 98/100, narrative strength of 30/100, and a volatility index of 50/100. The computed risk level is medium. Peanut the Squirrel is a high growth potential, near ATH token.
Risk should be read together with liquidity. Peanut the Squirrel has 24h high and low levels of $0.0618 and $0.0569, so the short-term range is visible before considering broader 7-day and 30-day changes of -5.25% and +33.36%.
Historical Data Points
The historical reference set for PNUT includes an all-time high of $2.44 on November 14, 2024, an all-time low of $0.0319 on November 4, 2024, and a 1-year move of -86.55%. These figures do not predict the future, but they show whether the current price is near extremes or in a middle range.
Supply and Valuation
Circulating supply is 999,842,190.71, total supply is 999,842,190.71, and max supply is 1,000,000,000. Fully diluted valuation is $58.03M. Market cap and FDV can diverge when a large portion of supply is not circulating, so investors should compare circulating supply, total supply, and unlock or emission information before relying on valuation multiples.
What Could Change the Setup
Peanut the Squirrel would need stronger evidence across volume, liquidity, development activity, and category momentum for the setup to improve. Weak follow-through, falling volume, large unlocks, contract migrations, or negative security events would weaken the research case even if the spot price rises for a short period.
FAQ
What is Peanut the Squirrel?
Peanut the Squirrel is a CoinGecko-tracked crypto asset in the Solana Ecosystem category.
Is PNUT a low-risk asset?
No crypto asset should be treated as low risk by default. TokenRadar currently shows a risk score of 6/10, and that score should be checked against volatility, liquidity, supply, and recent events.
What market data matters most for PNUT?
The most useful starting points are price, market cap, 24h volume, market rank, ATH distance, circulating supply, and the 30-day trend.
Does this overview recommend buying Peanut the Squirrel?
No. It is a structured research summary for comparing data points and risks.
Disclaimer: This article is for informational purposes only and does not constitute financial advice. Always do your own research (DYOR).
For PNUT research, the important control is consistency between the live market snapshot and the longer historical record. A single 24h move can be noisy, while market cap rank, 30-day performance, all-time high distance, supply structure, and volume-to-cap ratio create a more durable comparison set. This is why the article separates market data from decision rules and keeps the conclusion conditional.
Peanut the Squirrel also needs category-aware interpretation. A Solana Ecosystem token with high liquidity can behave very differently from a low-volume asset with the same percentage move. The practical question is whether volume, spread quality, supply data, and catalyst evidence confirm the move or contradict it.
The safest way to use this overview article is as a checklist. Confirm the latest price, check the current rank, compare 24h volume with market cap, review the ATH and ATL dates, and look for any project-specific changes before treating the data as current enough for research.
For PNUT research, the important control is consistency between the live market snapshot and the longer historical record. A single 24h move can be noisy, while market cap rank, 30-day performance, all-time high distance, supply structure, and volume-to-cap ratio create a more durable comparison set. This is why the article separates market data from decision rules and keeps the conclusion conditional.
Peanut the Squirrel also needs category-aware interpretation. A Solana Ecosystem token with high liquidity can behave very differently from a low-volume asset with the same percentage move. The practical question is whether volume, spread quality, supply data, and catalyst evidence confirm the move or contradict it.
The safest way to use this overview article is as a checklist. Confirm the latest price, check the current rank, compare 24h volume with market cap, review the ATH and ATL dates, and look for any project-specific changes before treating the data as current enough for research.
For PNUT research, the important control is consistency between the live market snapshot and the longer historical record. A single 24h move can be noisy, while market cap rank, 30-day performance, all-time high distance, supply structure, and volume-to-cap ratio create a more durable comparison set. This is why the article separates market data from decision rules and keeps the conclusion conditional.
Peanut the Squirrel also needs category-aware interpretation. A Solana Ecosystem token with high liquidity can behave very differently from a low-volume asset with the same percentage move. The practical question is whether volume, spread quality, supply data, and catalyst evidence confirm the move or contradict it.
