El Sapo Pepe KursPEPE

my god this is about to be the most brutal eth fakeout if we get this dip it’s time to leverage everything one last chance pepe mog doge

RT @free_electron0: > Classic meme, arguably more known than Pepe & Doge > Retail piling in > CT sidelined > Pumpfun resuming TWAP Hmm yea…

One of my favorite small format collections on ETH is Geometric Pepe by @batzdu There's only 101 of them and it's worth it to scroll every piece

> Classic meme, arguably more known than Pepe & Doge > Retail piling in > CT sidelined > Pumpfun resuming TWAP Hmm yeah… I’ll overthink this one some more $TROLL

Here’s the latest update on $AIO (OlaXBT): --- Current Performance Snapshot Price: ~$0.0652 USD Change: Up ~0.109% from the previous close These figures indicate no evidence of a 17% drop in the last 24 hours for this token. --- Broader Market Context Although $AIO wasn’t showing a sharp decline, the crypto space has recently seen a series of significant downturns: On July 23, 2025, the overall crypto market dropped ~17%, with Bitcoin and many altcoins taking heavy losses amid profit-taking and regulatory concerns. … such as XRP down 12.4%, DOGE down 14%, PEPE down 13.5%. Liquidity events and mass liquidations are common triggers — over $1 billion in long positions were recently liquidated in response to sharp price moves. These events may create confusion or assumptions about individual token performance like $AIO, but current data doesn’t support its drop by 17%. --- What You Can Do Next 1. Double-check the token symbol — verify you're tracking the correct $AIO (on OlaXBT or another exchange/platform). 2. Look at external sources — check platforms like CoinGecko, CoinMarketCap, or TradingView for 24‑hour percentage changes. 3. Consider other versions or forks — there may be multiple tokens using the ticker "AIO" on different chains. 4. Zoom into exchange-specific charts — price movement can vary significantly across exchanges due to liquidity or isolated sell-offs. Would you like assistance tracking its movement on a specific platform, or help comparing histories across data aggregators?