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Bitcoin has touched +1 Standard Deviation (SD) above the Short-Term Holder cost basis (~$120K) — a level that has historically acted as resistance during strong momentum phases. If this trend holds, the next resistance lies at +2 SD, near $136K.$BTC

Glassnode noted that Bitcoin ($BTC ) has reached +1 standard deviation above the short-term holder cost basis (~$120K), a level that historically acts as resistance during strong momentum phases. If the trend continues, the next resistance lies at +2 SD, around $136K.

Analysis of $TAC Price Volatility in the First Month: ⚡ Analysis of $TAC Price Volatility in the First Month Understanding the volatility of $TAC in its first 30 days post-listing is critical for assessing risk, identifying trading opportunities, and projecting future price movement. This period often reveals how a token behaves under market pressure, investor speculation, and real-world adoption. 📅 1. Overview of the First Month Listing Date: Recently listed on Bitget Initial Behavior: Classic “pump and dip” sequence observed: 🚀 Early surge (FOMO-driven) 🔻 Sharp correction (profit-taking) 🟰 Sideways consolidation (volatility compression) $TAC showed rapid fluctuations ranging 20–80% within single trading days. 📊 2. Measuring Volatility a. Daily Price Swings First 7 days: Intraday swings ranged from +40% to -35% Week 2–4: Volatility stabilized to 10–25% daily on average b. Standard Deviation (Volatility Index) Launch week: SD = very high (0.018) Week 2 onward: SD narrowed (~0.008–0.011), indicating reduced short-term speculation c. Volume-Driven Spikes Highest spikes correlated with: Influencer mentions Bitget promotional events Whale accumulation/sell-offs 🔁 3. Volatility Phases Breakdown 🔹 Phase 1: Hyper Volatility (Day 1–5) Huge trading volume Price fluctuated with every major buy/sell Many short-term traders entered and exited within hours RSI frequently entered overbought and oversold zones 🔹 Phase 2: Reactive Volatility (Day 6–14) Traders reacted to news, listing performance, and token sentiment Whale activity caused unpredictable 10–30% spikes Market was testing the real value range 🔹 Phase 3: Controlled Volatility (Day 15–30) Lower volume, fewer extreme price changes Formation of resistance near $0.018 and support around $0.012 Technical indicators became more reliable for trading 🧠 4. What Caused the Volatility? FactorImpact on PriceNotesNew listing hype+↑Pumped prices in first 24–48 hoursEarly profit-taking−↓Sharp corrections after initial peaksLack of liquidity±Small trades caused big price changesExchange mechanics±Bitget bots, slippage, and user order flow matterCommunity activity+↑/−↓Social media rumors caused mini price rallies 📉 5. Risks from Early Volatility Stop-loss hunting: High volatility wiped out poorly placed stops Emotional trading: Many retail traders sold too early or bought too high Short-lived FOMO: Unsustainable hype often leads to fast corrections 📈 6. Opportunities from Volatility Day and swing traders enjoyed: Multiple 10–30% gains within a single week Ideal for scalping with tight targets Long-term holders could buy dips below perceived fair value 🔮 7. Current Volatility Outlook Volatility is slowing down, which usually: Signals market stabilization Prepares for a larger breakout or breakdown Low volatility may create an opportunity for: Strategic accumulation Formation of a reliable price trend 📌 Final Thought $TAC’s first month was a textbook example of early-stage volatility, driven by hype, profit-taking, and speculative interest. Now that the storm is settling, traders can start using technical setups, volume indicators, and sentiment tools more effectively.

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