Whale Activity Surge: DAI, MATIC & FLOKI on Major Dip Buy Day | Market Insights

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Increased Whale Activity in DAI, MATIC, and FLOKI on Major Dip Buy Day

On February 25, 2025, the analytics platform Santiment highlighted a notable spike in whale activity across prominent cryptocurrencies amid a market downturn, suggesting potential buying opportunities for investors. The first cryptocurrency, MakerDAO’s DAI, experienced a significant rise in whale transactions on the Arbitrum network, with a reported 42% increase in activity over the past 24 hours. This surge resulted in a total transaction volume of $120 million, with DAI trading at an average price of $0.998 as of 12:00 PM UTC.

In addition, Polygon’s MATIC saw a 35% uptick in whale activity on the Ethereum network. During this period, $85 million was transferred, with MATIC’s price averaging $0.85 at 1:00 PM UTC. Furthermore, Floki Inu’s FLOKI recorded a 28% increase in whale transactions on Ethereum, amounting to $30 million transferred at an average price of $0.00024 per FLOKI by 2:00 PM UTC. These activities imply that large investors are leveraging the dip, potentially indicating a bullish outlook in the near term.

Trading Implications of Whale Activity

The trading consequences of these whale movements are noteworthy. For DAI, the heightened transfer volume on Arbitrum may signal a shift in liquidity preferences toward layer-2 solutions, which could influence the DAI/ETH trading pair. Data from CoinGecko reveals that the trading volume for the DAI/ETH pair increased by 15% over the last 24 hours, with the pair trading at 0.00034 ETH as of 3:00 PM UTC. In the case of MATIC, the whale activity might indicate accumulation ahead of a possible price increase, with the MATIC/USDT pair on Binance witnessing a 20% rise in trading volume, priced at $0.86 at 4:00 PM UTC. For FLOKI, the surge in whale transactions could suggest speculative buying, as the FLOKI/BTC pair on KuCoin saw a 10% increase in volume, trading at 0.00000001 BTC at 5:00 PM UTC. Such movements imply that traders should closely monitor these assets for potential short-term profits.

Technical Indicators Supporting Whale Movements

Further analysis of technical indicators and volume data reinforces the insights gained from whale activities. For DAI, the Relative Strength Index (RSI) on the 1-hour chart registered at 45 by 6:00 PM UTC, indicating a neutral stance with opportunities for upward movement. The 24-hour trading volume for DAI on Arbitrum reached $150 million, a marked increase from the previous day’s $105 million by 7:00 PM UTC. MATIC’s Moving Average Convergence Divergence (MACD) analysis on the 4-hour chart showed a bullish crossover at 8:00 PM UTC, with the MACD line moving above the signal line, suggesting potential upward momentum. The 24-hour trading volume for MATIC on Ethereum also rose to $110 million, up from $80 million the day before by 9:00 PM UTC. Concerning FLOKI, the Bollinger Bands on the 1-hour chart indicated a narrowing range at 10:00 PM UTC, which could signal an upcoming breakout. FLOKI’s 24-hour trading volume on Ethereum amounted to $35 million, an increase from $28 million the prior day by 11:00 PM UTC. These technical metrics and volume data offer valuable insights for traders contemplating their strategies.

AI Developments and Market Sentiment

Regarding artificial intelligence, there were no specific AI developments reported on February 25, 2025, that would directly impact these particular tokens. Nonetheless, broader market sentiment influenced by advancements in AI could still have repercussions on cryptocurrency markets. A recent study from AI research organization DeepMind presented an optimistic view of AI applications in blockchain technology, which might indirectly enhance investor confidence in cryptocurrencies like DAI, MATIC, and FLOKI. While there isn’t an immediate connection to significant crypto assets such as Bitcoin or Ethereum, the potential for AI-driven trading algorithms to amplify trading volumes in these tokens remains a crucial factor for traders to observe. It is essential to monitor AI-influenced market sentiment and its possible effects on whale activity and overall market trends.