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CONTINUATION..... 🧠 How To Learn On-Chain Analysis (Beginner → Advanced).. Step 1 — Learn Basic Metrics Start with: *** Exchange inflow/outflow *** Active addresses *** MVRV *** SOPR *** LTH/STH (long/short term holders) 📌 Tip: Begin with Bitcoin & Ethereum — easiest chains to analyze. Step 2 — Use Free On-Chain Tools Best Free Platforms: Platform Strength Glassnode (Free Tier)..Best for fundamental metrics CryptoQuant... Exchange flows, whale alerts Nansen .............Wallet tracking, smart money Dune Analytics....... Custom dashboards Token Terminal...Fundamental revenue data Messari....... Research + on-chain metrics. Step 3 — Learn by Observing Study: Whale accumulation before bull runs Large outflows before price jumps Panic inflows to exchanges before dumps Example: *** Exchange outflow increases = bullish (people withdrawing to hold) *** Exchange inflow increases = bearish (people depositing to sell) Step 4 — Follow Experts Follow analysts on X / YouTube: *** Willy Woo *** Checkmate *** James Check (Glassnode) *** CryptoQuant analysts *** Nansen dashboards builders to be continued.....❤️ #BinanceSquare #cryptolearning

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✅ What Is On-Chain Analysis? On-Chain Analysis is the study of blockchain data to understand market behavior, investor sentiment, asset movement, and overall network health. Instead of using only price charts (technical analysis) or news (fundamental analysis), on-chain analysis looks directly at what is happening inside the blockchain. It involves analyzing real blockchain data such as: 1. ) Wallet Activity Number of active addresses New wallet growth Whale buying or selling Long-term holders vs short-term traders 2.) Token Movements Exchange inflows/outflows On-chain buy/sell pressure Accumulation or distribution patterns 3.) Network Health Transaction volume Staking activity Gas/fees Hash rate (for PoW chains) 4.) Investor Behavior Indicators Some famous metrics: NUPL (Net Unrealized Profit/Loss) MVRV (Market Value vs Realized Value) SOPR (Spent Output Profit Ratio) Netflow (exchange inflow/outflow) Realized price. These help determine if a market is in accumulation, distribution, or extreme fear/greed. ✅ Why On-Chain Analysis Matters It helps you answer questions like: ** Are whales buying or selling? ** Are traders moving coins to exchanges to sell? ** Is the network growing or dying? ** Are long-term holders accumulating? Great for spotting: ** Trend reversals **Early bull run signals Smart money movement Overheated markets..etc.. To be Continued.... #CryptoLearning #Binance $BNB

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Understanding Support & Resistance (Simple Guide 📊) In crypto trading, support is a price level where buyers usually step in, while resistance is where sellers tend to take profit. 📌 How to use it: Buy interest often appears near support Price may slow down or reverse near resistance When resistance breaks with strong volume, it can turn into new support. 📈 This concept works on any coin (BTC, ETH, altcoins) and on all timeframes. Always combine it with volume and risk. #CryptoEducation💡🚀 #tradingbasics #BinanceSquare #CryptoLearning

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BITCOIN 1,309 For 1$USD Did you know that you can buy bitcoin at 1,309BTC for 1$usd, way back in 2009 the very beginning of bitcoin. $BTC 1. Bitcoin was brand new 2. No real market price 3. BTC was not traded on exchanges People mined BTC on normal CPUs for almost free. When did Bitcoin get a price? 2009: Price = effectively $0 May 2010: First famous transaction 👉 10,000 BTC = 2 pizzas (~$41) → 1 BTC ≈ $0.004 At that rate: $1 ≈ 250 BTC Where does “1 USD = 1,309 BTC” come from? That number usually comes from: Early community estimates Mining cost calculations (electricity vs BTC earned) Back-calculated values used in charts There was no exchange in 2009 where you could actually place a buy order like that. Key takeaway 🧠 Technically yes (by historical calculation) Practically no (no real buying/selling market yet) Early miners earned thousands of BTC simply by running a computer. $BTC

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