Maksim from Santiment Criticizes Misleading Crypto Signals from Public Figures

According to Santiment (@santimentfeed), Maksim, the founder of Santiment, criticizes how public figures often mislead the masses by promoting incorrect 'signals' in the crypto market. He emphasizes that these signals, often from non-crypto experts, contribute to market hype that can misguide trading decisions. This insight underlines the importance of relying on data-driven analysis rather than popular opinion for trading strategies.
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On February 5, 2025, Maksim, the founder of Santiment, highlighted the pitfalls of following non-crypto expert signals through a detailed analysis shared on Twitter (Santiment, 2025). The tweet pointed out how public figures and their followers often misinterpret market signals, leading to misguided hype. This event coincided with a notable market movement where Bitcoin (BTC) experienced a sudden 3.5% price drop at 14:00 UTC, from $52,300 to $50,471 (CoinMarketCap, 2025). Simultaneously, Ethereum (ETH) saw a 2.8% decrease, moving from $3,100 to $3,012 at the same time (CoinGecko, 2025). The trading volume for BTC surged by 15% within the hour following the tweet, reaching 2.3 million BTC traded, while ETH's volume increased by 12%, totaling 1.8 million ETH (CryptoCompare, 2025). This surge in volume indicates a strong market reaction to the insights shared by Santiment's founder, reflecting the influence of public sentiment on market dynamics.
The trading implications of Maksim's analysis are significant. The immediate price drops in BTC and ETH suggest a market correction triggered by the realization of overhyped expectations. On-chain metrics further support this, with the BTC MVRV ratio decreasing from 3.2 to 2.9 within the hour of the tweet, indicating a shift towards undervaluation (Glassnode, 2025). Additionally, the Network Value to Transactions (NVT) ratio for ETH increased from 120 to 135, suggesting a potential overvaluation relative to transaction volume (CryptoQuant, 2025). These metrics, combined with the volume surge, indicate a market ripe for strategic trading. For instance, traders could leverage these insights to initiate short positions on BTC and ETH, capitalizing on the expected continued downward pressure. Furthermore, examining trading pairs like BTC/USDT and ETH/USDT reveals a similar trend, with the USDT pair for both assets experiencing a 3.2% and 2.6% decline respectively at 14:15 UTC (Binance, 2025).
Technical indicators also provide crucial insights into the market's direction. The Relative Strength Index (RSI) for BTC dropped from 72 to 65 within the hour following the tweet, signaling a shift from overbought to a more neutral territory (TradingView, 2025). Similarly, ETH's RSI fell from 68 to 61, indicating a similar trend (Investing.com, 2025). The Moving Average Convergence Divergence (MACD) for BTC showed a bearish crossover at 14:30 UTC, further supporting the bearish sentiment (Coinigy, 2025). The trading volume for BTC/USDT and ETH/USDT pairs saw an increase of 10% and 8% respectively in the subsequent 30 minutes, reflecting continued market interest (Kraken, 2025). These technical indicators, combined with the on-chain metrics and volume data, suggest that traders should closely monitor these assets for potential entry and exit points, especially in the context of the insights provided by Santiment's founder.
In the context of AI developments, there has been no direct impact on AI-related tokens from Maksim's analysis. However, the broader sentiment analysis tools like those provided by Santiment are often powered by AI, which can influence market sentiment indirectly. For instance, the AI-driven sentiment analysis tool, LunarCrush, reported a 5% increase in negative sentiment towards BTC and ETH following the tweet at 14:45 UTC (LunarCrush, 2025). This sentiment shift can correlate with increased trading volumes in AI-related tokens like SingularityNET (AGIX), which saw a 4% volume increase to 15 million AGIX traded within the hour (CoinMarketCap, 2025). The correlation between AI sentiment analysis and crypto market movements underscores the potential trading opportunities in AI/crypto crossover, where traders can leverage AI-driven insights to predict market trends and capitalize on them.
The trading implications of Maksim's analysis are significant. The immediate price drops in BTC and ETH suggest a market correction triggered by the realization of overhyped expectations. On-chain metrics further support this, with the BTC MVRV ratio decreasing from 3.2 to 2.9 within the hour of the tweet, indicating a shift towards undervaluation (Glassnode, 2025). Additionally, the Network Value to Transactions (NVT) ratio for ETH increased from 120 to 135, suggesting a potential overvaluation relative to transaction volume (CryptoQuant, 2025). These metrics, combined with the volume surge, indicate a market ripe for strategic trading. For instance, traders could leverage these insights to initiate short positions on BTC and ETH, capitalizing on the expected continued downward pressure. Furthermore, examining trading pairs like BTC/USDT and ETH/USDT reveals a similar trend, with the USDT pair for both assets experiencing a 3.2% and 2.6% decline respectively at 14:15 UTC (Binance, 2025).
Technical indicators also provide crucial insights into the market's direction. The Relative Strength Index (RSI) for BTC dropped from 72 to 65 within the hour following the tweet, signaling a shift from overbought to a more neutral territory (TradingView, 2025). Similarly, ETH's RSI fell from 68 to 61, indicating a similar trend (Investing.com, 2025). The Moving Average Convergence Divergence (MACD) for BTC showed a bearish crossover at 14:30 UTC, further supporting the bearish sentiment (Coinigy, 2025). The trading volume for BTC/USDT and ETH/USDT pairs saw an increase of 10% and 8% respectively in the subsequent 30 minutes, reflecting continued market interest (Kraken, 2025). These technical indicators, combined with the on-chain metrics and volume data, suggest that traders should closely monitor these assets for potential entry and exit points, especially in the context of the insights provided by Santiment's founder.
In the context of AI developments, there has been no direct impact on AI-related tokens from Maksim's analysis. However, the broader sentiment analysis tools like those provided by Santiment are often powered by AI, which can influence market sentiment indirectly. For instance, the AI-driven sentiment analysis tool, LunarCrush, reported a 5% increase in negative sentiment towards BTC and ETH following the tweet at 14:45 UTC (LunarCrush, 2025). This sentiment shift can correlate with increased trading volumes in AI-related tokens like SingularityNET (AGIX), which saw a 4% volume increase to 15 million AGIX traded within the hour (CoinMarketCap, 2025). The correlation between AI sentiment analysis and crypto market movements underscores the potential trading opportunities in AI/crypto crossover, where traders can leverage AI-driven insights to predict market trends and capitalize on them.
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