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FROGE Meme Coin Risk Analysis & Trade Setup
Saved analysis: . The findings below describe evidence recorded at that time, not live market conditions.
Historical analysis snapshot. This report is more than six hours old. This snapshot is not a current buy or sell signal. Trade decisions, prices, levels and sellability may have changed. Re-analyse before making a current trading decision.
Exact Solana mint: Eiz3YJFjPrgXWjMs5AFJRob6XejE8ymMipwwQGKqs8F5
FROGE Risk Analysis and Trade Setup Summary
Overall Health Score: Frogecoin has an Overall Health Score of 32 out of 100.
Rug Risk Rating: Frogecoin has a low Rug Risk Rating. This reflects collected on-chain evidence and is not a safety guarantee.
FROGE Rug-Pull Risk Analysis
- FROGE is under 21 hours old with only 450 holders. Every signal, whale position, and holder metric is a snapshot of the first day; no durability or stickiness can be inferred.
- Over the last ~4 hours, wallets holding >1% of supply drove 64.3% of all sell volume (~177.9M tokens sold). This is structured distribution by the largest holders on an infant token, not normal retail churn.
- Six of the eight top sellers in the 12H window fully exited (remainingPct=0) after holding for 0.06–0.85 days. [redacted wallet] sold ~51M tokens (18.4% of sell volume) and completely exited — this is speculative hot money with no conviction.
FROGE Risk and Health Signals
- Both mintAuthorityActive and freezeAuthorityActive are false with null authority addresses, removing the two most dangerous token-control levers.
- The identified dev wallet ([redacted wallet]) holds 0% of supply and has sold 0 tokens across all time windows; no active dev dumping is observable.
- The cluster array is empty and slowRugRisk is rated 'low' by the heuristic; no coordinated insider drip-selling pattern has been flagged in observable data.
FROGE Holder Distribution
Holder concentration: The top 10 non-pool holders control 24.4% of supply.
Is FROGE Safe?
- Creator risk check: no blacklist match found.
- Wash-trading check: no suspicious activity detected.
- Copycat check: no match detected.
- Sellability check: a sell route was observed.
- Smart-money check: no tracked participation was observed.
FROGE Trade Setup, Entry Levels and Targets
Support and resistance context: 3 support areas and 1 resistance area were identified from 15m market candles; nearest support: 0.000023228734014910222; nearest resistance: 0.000027425261054320863; Levels derived from 86 15m candles (~21 hours) of pool price history via swing-point clustering. Heuristic zones, not trading advice..
FROGE Price and Market Data
Assessment: FROGE is a PumpSwap-native token less than 24 hours old with a market cap of ~$23k and $11.7k in DEX liquidity, giving a liquidity-to-market-cap ratio of ~51% — the pool is relatively well-funded for the size but absolute depth is still thin. Mint and freeze authorities are revoked, removing two structural red flags. The top 10 non-pool holders control ~24.5% of supply and all 10 tracked whales are nominally 'accumulating', but every whale acquired within the last 21 hours so no holding track record exists whatsoever. Sell pressure over the past ~4 hours shows 64% of sell volume coming from whale-sized wallets (>1% of supply), with nearly all exited sellers having held for under 4 hours, a classic flip-and-dump pattern on a fresh token. The 24-hour price decline of 39% combined with the token's extreme youth means this is a high-volatility, high-churn micro-cap that is far too young to assess long-term durability.
Reason: An infant token with 64% of recent sell volume driven by whale-sized exits, a 39% price decline in 24 hours, only $11.7k liquidity, and zero holding track record from any wallet makes this a structurally fragile, high-churn speculative bet with more evidence of distribution than durable accumulation
Report limitations
- This automated snapshot can be wrong, incomplete, or become outdated as on-chain and market conditions change.
- It is informational analysis, not financial advice or a guarantee that the token is safe.
Read the MemeAssist methodology for evidence sources, scoring and known constraints.
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