AST প্রাইস স্পাইক

25% উত্থান: আমার স্প্রেডশিটের ভয়াবহতা

আমি সকালের তৃতীয় espresso-এর কথা ভাবছিলাম, suddenly my alert-টা activate! AirSwap (AST) 1ঘণ্টারও kurta 25%উপরে।

প্রথমটা: panic? No—analytical reset.

আমি Python-এই model-এ work kore ase; emotions data-কে distorts kore, I know that.

But here’s the thing: not just the spike—but how it happened.

Volume vs. Volatility: Ekhta Chhaya Pattern

আসলখানি numbers dekhe jai:

• Snapshot 1: +6.5%, price $0.0419 dhara dhorite jai;
• Snapshot 2: +5.5%, $0.0436 dhara dhorite jai;
• Snapshot 3: +25% —হা, পঞ্চবিংশ percent —$0.0456 peak;
• Snapshot 4: back to +3%, $0.0408.

Real story? Not just rise—but volume. Even after dip, trading volume ~\(80k–\)110k stay high. That’s not retail FOMO; that’s institutional order flow.

Why AST matters now? It’s on Ethereum’s edge—peer-to-peer swaps without central order books. The original unchained DeFi marketplace.

This Is Not Noise (Spoiler: It’s Strategy)

Bluntly said: most people see 25% jump → pump-and-dump chaos. But I’ve seen cycles; this wasn’t noise. it was signal hunting.

Why?

• High volatility + sustained volume → big players testing support levels. dip to $0.04 → healthy profit-taking, not panic selling. major exchange listing? No known news → not hype-driven. it’s algorithmic interest in real-time data streams. in short: someone is quietly accumulating while others focus on Solana or Bitcoin ETFs.

Your Crypto Watchlist & My Coffee Budget (What Now?)

If you’re into layer2 analytics, DeFi protocol evaluation, or spotting early trends—watch AST now. it’s not about meme coins anymore—it’s about reading patterns in raw data dumps like these reports give us. i built a model flagging anomalies automatically—and yes, AST lit up my dashboard like red alarm last week. system didn’t care about headlines; it saw what humans miss until too late. i’d rather trust code than sentiment—not because i’m heartless (though some say so), but because economics is messy enough without emotion added in all over again.