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$LUNA / USDT analysis on 1d 📉 **Price Analysis** The price of $LUNA has declined significantly, currently at $0.1664. The recent trend shows a bearish momentum, reflected by DYOR.net's bearish score of 58/100. The last closing price of $0.1622 is below critical moving averages (MA10 at $0.1687, MA25 at $0.1789), indicating potential resistance for an upward movement. 🔄 **Trend and Strength** Despite the appearance of a Bullish Hammer candlestick pattern, the RSI at 40.32 suggests that the asset is neither overbought nor oversold, while a low ADX of 16.49 indicates weak trend strength. This further emphasizes a potential price reversal, yet caution is warranted due to the overall bearish trend. 🔧 **Support and Resistance** Immediate support is observed around $0.1537 (BB Low), while the resistance level is identified at $0.1826, based on the calculated trendline. Breaking above $0.1687 (MA10) could signal a reversal, while failure to hold above $0.1537 may lead to further declines. 📈 **Target and Stop-Loss** A potential target price for a bullish reversal could be set at $0.1789 (MA25), with a stop-loss at $0.1530 to mitigate risks. Traders should monitor RSI and ADX metrics closely, as they will provide insights into future price movements. In summary, while $LUNA shows bearish tendencies, the emergence of bullish patterns warrants careful observation for possible upward momentum. This content is generated by AI and does not constitute investment advice. Do your own research before investing in any asset, and only invest what you can afford to lose.
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Believe it or not, $LUNC will print the biggest green candle of all time 📈✅️ LFG $LUNC 🚀 🌕
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We have seen this before. $BTC reversal is coming 🚀 $BTC
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$XLM & $HBAR are doing their thing. Accumulating in the zones. Looking like schematic #2. The Crypto Market as a whole looks like the accumulation cycle is about to start reversing. Time will tell $HBAR
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$PHA | @PhalaNetwork SAFE AGI STARTS WITH PHALA Artificial General Intelligence (AGI) means machines that can learn, adapt, and solve different kinds of problems like a human. But the way it's being built today brings serious concerns: > Centralized (you have no access to how they work), > Unverified (you can't prove what they’re doing), > built without privacy (your data is exposed). It could lead to massive trust issues, especially in industries where privacy, transparency, and security matter. Phala is focused on fixing that. They're building the infrastructure to make sure AGI runs in a way that's safe and transparent, not just for companies, but for users. > Confidential VMs (Run apps in secure, private environments) > GPU TEE Inference (Use AI models with privacy and proof) > MCP Hosting – (Launch secure servers inside trusted hardware) > Eliza Builder – (Create your own private AI agents, no coding needed) Phala's work makes sure that when AGI is used, it's done with safety, proof, and control built in from the start $PHA
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