📊 Another great call by @Alejandro_XBT. He made a great short prediction on Bitcoin two weeks after the October all-time high.🧐 Check out the best (and worst) market predictors and use their signals on social media to make more accurate decisions: https://t.co/xgbZ9uKhbfKOL Tracker (@KOLs_Tracker):Congrats to @Alejandro_XBT for this bold prediction on $BTC that hit their prediction within a month.Check out more market calls from other KOLs here:https://t.co/Esk0yB1hDF https://t.co/vwPqOHBXCE ...

RT Santiment (@santimentfeed)😨 XRP (-31% in the past 2 months), unlike Bitcoin, is seeing the most fear, uncertainty, & doubt (FUD) since October, according to our social data.🔴 Circles indicate days where there are abnormally higher BULLISH comments compared to BEARISH comments, about XRP (Greed Zone)🟢 Circles indicate days where there are abnormally higher BEARISH comments compared to BULLISH comments, about XRP (Fear Zone)📈 The last time we saw near this level of fear from the crowd was November 21st, an ...

Market Sentiment Analysis - XRP has experienced a 31% decrease in price over the past two months, accompanied by significant fear, uncertainty, and doubt (FUD) levels not seen since October [1] - Social media data analysis reveals that extreme shifts between greed and fear have accurately reflected Bitcoin's price movements [2] - Abnormally high bullish comments about XRP indicate a "Greed Zone," while abnormally high bearish comments indicate a "Fear Zone" [1] Potential Investment Opportunity - A similar level of fear was observed around November 21st, which was followed by a 22% price rally for XRP in the subsequent three days [1] - The current sentiment suggests a potential emerging opportunity, mirroring the situation from two weeks prior [1] Data Source - The analysis utilizes social media data from platforms including X, Reddit, Telegram, 4Chan, BitcoinTalk, and Farcaster [2]

Social Trend Analysis - Santiment 发布了第三期教育系列，重点在于利用社交趋势数据来发现买入和卖出的机会 [1] - 该系列旨在帮助人们从大众的情绪、贪婪和恐惧中获利 [1] Educational Content - Brad 和 Esther 从 Shane L Inq 教授那里获得了关于社交趋势分析的启发 [1]

🤑 There's just as much value in finding traders getting markets WRONG as those who get it RIGHT. Since mid-July, $SUI has lost two thirds of its market cap. @GordonGekko invited us to bookmark his post, so we did.🔗 See the best & worst predictors here: https://t.co/YzaDWPpMWxKOL Tracker (@KOLs_Tracker):wen ath?Check out other tracked KOLs' market calls here: https://t.co/QTed1kJ1F0 https://t.co/SDOC7rfAQm ...

🧐 Monitor the assets seeing large whale transfers to centralized exchanges with this helpful @santimentfeed dashboard here! https://t.co/Mj8Tqgm2vs ...

🐳 According to centralized exchange whale data, there have been several major coin transfers to exchanges in the past 24 hours. This includes $48.9M, $11.5M, and $8.9M moves of $USDe to Bybit. Generally, stablecoin moves to exchanges increases the likelihood of whale buys. https://t.co/dQOxvVfidB ...

RT Santiment (@santimentfeed)🧑‍💻 Here are crypto's top 10 AI & Big Data projects by development. Directional indicators represent each project's ranking positioning since last update:➡️ 1) @dfinity $ICP 🥇📈 2) @chainlink $LINK 🥈➡️ 3) @nearprotocol $NEAR 🥉📈 4) @oasisprotocol $ROSE📈 5) @filecoin $FIL📈 6) @livepeer $LPT📈 7) @recallnet $RECALL📉 8) @graphprotocol $GRT📉 9) @iex_ec $RLC📉 10) @injective $INJ📖 Read about the @santimentfeed methodology for filtering notable github activity data from project repositori ...

🧑‍💻 Here are crypto's top 10 AI & Big Data projects by development. Directional indicators represent each project's ranking positioning since last update:➡️ 1) @dfinity $ICP 🥇📈 2) @chainlink $LINK 🥈➡️ 3) @nearprotocol $NEAR 🥉📈 4) @oasisprotocol $ROSE📈 5) @filecoin $FIL📈 6) @livepeer $LPT📈 7) @recallnet $RECALL📉 8) @graphprotocol $GRT📉 9) @iex_ec $RLC📉 10) @injective $INJ📖 Read about the @santimentfeed methodology for filtering notable github activity data from project repositories, and why it is so useful f ...

Social Sentiment Analysis - Santiment 发布第三期教育系列，关于使用社交趋势数据来发现简单的买卖机会 [1] - 该系列旨在利用大众的情绪、贪婪和恐惧来获利 [1] Educational Content - Brad 和 Esther 从 Shane L Inq 教授那里获得启发 [1]