#stablecoin JUST IN: Stablecoins make up 1.1% of the U.S. d | Mutahirhasankhan on Binance Square

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#stablecoin JUST IN: Stablecoins make up 1.1% of the U.S. dollar supply, with startups set to drive further growth, per Token Terminal.
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#OneBigBeautifulBill 🚀 “Memecoins Are Back: PEPE, WIF, FLOKI — What’s Next?” After months of consolidation, memecoins are roaring back into the spotlight—and retail traders are loving it. From the explosive rise of PEPE to the social hype behind WIF and FLOKI, it’s clear: the memecoin mania is far from over. Driven by Gen Z investors, crypto Twitter trends, and Telegram pump groups, these tokens are making double-digit moves overnight. On platforms like Binance, liquidity and trading volume are surging, with some meme tokens even outperforming majors like Ethereum and BNB over the last 7 days. But this isn’t just about fun graphics and dog mascots. Memecoins now carry serious market momentum, and some are backed by actual ecosystems or partnerships. That said, the volatility remains high—so smart traders watch social sentiment, tokenomics, and listing news closely. The question isn’t if another memecoin will pump… it’s which one, and when. $WIF $FLOKI $PEPE

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Here are the main types of traders in the financial and crypto markets—each with a unique approach, strategy, and risk tolerance: 🔹 1. Scalper Timeframe: Seconds to minutes Goal: Profit from tiny price movements Tools: High-speed trading platforms, real-time charts Risk: High frequency = high risk + stress Example: Executes dozens of trades per day on BTC/ETH pairs --- 🔹 2. Day Trader Timeframe: Intraday (no overnight positions) Goal: Take advantage of daily volatility Tools: Technical analysis, chart patterns Risk: Medium to high; requires discipline and fast decision-making --- 🔹 3. Swing Trader Timeframe: Days to weeks Goal: Capture short- to medium-term trends Strategy: Combines technical and fundamental analysis Best For: People who want active trading but not glued to screens all day --- 🔹 4. Position Trader (Investor) Timeframe: Weeks to years Goal: Focus on long-term trends and macro movements Tools: Fundamental analysis, news, and market cycles Risk: Less stress, but requires patience and strong conviction --- 🔹 5. Algorithmic/Quant Trader Timeframe: Variable (automated) Goal: Use bots, algorithms, and data-driven models to trade Skill: Coding, data analysis, strategy backtesting Used By: Institutions and tech-savvy individual traders --- 🔹 6. News-Based Trader Timeframe: Hours to days Goal: Trade based on breaking news or economic events Approach: Reactive; requires fast execution and staying updated Common in: Crypto during SEC announcements, ETF approvals, or wars --- 🔹 7. Copy/Social Trader Timeframe: Depends on copied trader Goal: Mirror successful traders' moves via platforms like Binance Copy Trading Risk: Depends on the strategy of the copied trader Good for: Beginners and passive investors

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