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John Hoston
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BULL TRAP
59%
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John Hoston
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Risky long position…$BERA showing strong resistance at 2,9-3,0 tomorrow strange day with fomc
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$RUNE & $KSM Hi everyone!! This two will have a great opportunity in the future and now it’s a real good time to buy, I don’t know if is the deep but I am sure that is very close to deep right now!!! Also they have a potential 10x growing at least in the next cycle who’s also not to far! #DYOR🟢
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$SOL is currently in a consolidation phase after a correction from its January 2025 peak of $293.31. The neutral technical outlook and moderate sentiment suggest it may be preparing for the next wave—if catalysts emerge. Technical Analysis • Support Levels: • $140 (immediate, strong due to high trading volume) • $120–$130 (critical zone, tested in April 2025) • $100 (psychological level, last line of defense) • Resistance Levels: • $150–$160 (immediate, with a failed breakout in April) • $184–$200 (primary, near the 0.618 Fibonacci level from the ATH) • $250–$300 (long-term, near the January ATH) • Moving Averages: • 50-Day SMA: ~$144–$145, trending downward, indicating short-term weakness • 200-Day SMA: ~$165–$170, trending upward, indicating long-term strength • Volume: Moderate overall, with spikes around $140–$150, suggesting accumulation by smart money • Chart Patterns: Potential cup and handle pattern forming on the weekly chart, with breakout potential above $160 Hidden Insight: SOL is showing a bullish divergence on the daily RSI (price stabilizing while RSI rises), which often precedes a rebound. Additionally, increasing volume near $140 suggests whales are accumulating at these levels—an activity not yet apparent to the broader market.
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#CBDC #TheFutureofMoney Why $QNT Could Be a Solid Opportunity: ⸻ 1. Real-world use in government & banking projects • Their platform, Overledger, enables traditional systems (like SWIFT, core banking systems, etc.) to connect with blockchains. • They’re working with the Bank of England on the “Digital Pound” project. • This isn’t just theoretical — they’re already running PoCs with governments. ⸻ 2. Doesn’t need to “win” the narrative — it’s already at the table • Unlike other tokens that hope to get adopted, QNT is already part of the CBDC infrastructure conversation. • Its strategy is B2G (business-to-government), not retail-focused. ⸻ 3. Tokenomics favor long-term holders • Supply: Only 14M tokens (less than BTC). • No staking or inflation. As usage grows, so does demand for the token (licensing fees). • Nearly the full supply is already circulating → low risk of future dump from vesting. ⸻ 4. Technical & market positioning (Q1 2025 outlook) • Currently in an accumulation zone after a long downtrend. • If CBDC adoption gains momentum (e.g. ECB, UK, India, Australia), it could surge past $300–$400 quickly (ATH was around $430). ⸻ Risks to consider: • Not a retail-friendly token → low hype, so not ideal for quick flips. • Dependent on government adoption, which moves slowly and often lacks transparency. • Doesn’t have DeFi/NFT ecosystems or a strong community pushing it → this play requires patience. ⸻ TL;DR: If you’re thinking strategically, have a 1–3 year investment horizon, and want exposure to the infrastructure behind digital euro/dollar/pound systems: Yes, $QNT is a serious contender.
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#StopLossStrategies 1. Static (Fixed) Stop-Loss • Definition: A predefined price level where a trade is exited to limit loss (e.g., 5% below entry). • Pros: Simple, easy to implement. • Cons: Doesn’t adapt to market volatility; can trigger prematurely. • Best for: New traders, stable market conditions, swing trades. ⸻ 2. Trailing Stop-Loss • Definition: Follows the price as it moves in your favor, locking in profits while allowing room to grow. • Pros: Protects gains, adapts to market movements. • Cons: Can get whipsawed in volatile markets. • Best for: Trend-following strategies, volatile assets, crypto trading. ⸻ 3. Volatility-Based Stop-Loss • Definition: Uses indicators like ATR (Average True Range) to set stop-loss based on asset volatility. • Pros: More dynamic, reduces chances of premature exits. • Cons: Requires technical knowledge, can set wider stops. • Best for: Active traders, algorithmic strategies. ⸻ 4. Time-Based Stop-Loss • Definition: Exit trade after a certain time if it hasn’t hit the target or stop. • Pros: Useful in intraday strategies, avoids overnight risk. • Cons: Doesn’t account for market conditions or price action. • Best for: Day traders, scalpers, earnings plays. ⸻ 5. Percentage of Portfolio Stop-Loss • Definition: Limits loss to a certain % of the total portfolio (e.g., never risk more than 2% per trade). • Pros: Solid risk control at the portfolio level. • Cons: May lead to frequent stop-outs if not sized well. • Best for: Long-term investors, diversified portfolios. #DYOR* $BNB
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