On February 7, 2025, Bitcoin (BTC) was observed forming a Low-Timeframe (LTF) range, moving sideways within this range, as reported by @doctortraderr on X (formerly Twitter) [1]. The High-Timeframe (HTF) levels for BTC's macro range were identified as follows: the upper range at $106,900, the mid-range at $99,500, and the lower range at $90,600 [1]. At 14:00 UTC on the same day, BTC was trading at $95,300, indicating its position within the mid-range of the macro range [2]. The trading volume for BTC over the past 24 hours up to 14:00 UTC was approximately $34.2 billion, a decrease of 10% from the previous day's volume of $38.0 billion [3]. The BTC/USD pair showed a slight increase of 0.5% over the past 24 hours, while the BTC/ETH pair saw a marginal decrease of 0.2% [4]. On-chain metrics revealed that the number of active addresses on the Bitcoin network was 750,000, a 5% increase from the previous day's 714,000, suggesting growing network activity [5]. The hash rate stood at 320 EH/s, a slight increase from 315 EH/s the day before, indicating sustained miner participation [6]. The Market Value to Realized Value (MVRV) ratio for BTC was at 3.2, slightly below the overbought threshold of 3.5, suggesting a neutral market sentiment [7]. The Relative Strength Index (RSI) for BTC was at 52, indicating a balanced market condition [8]. The Bollinger Bands for BTC showed a narrowing of the bands, suggesting reduced volatility [9]. The Moving Average Convergence Divergence (MACD) indicated a bearish crossover, with the MACD line crossing below the signal line, signaling potential downward pressure [10]. The 50-day moving average for BTC was at $94,000, while the 200-day moving average stood at $92,000, indicating a bullish trend in the longer term [11]. The Fear and Greed Index for the crypto market was at 55, indicating a neutral sentiment [12]. The dominance of BTC in the overall crypto market was at 46.5%, a slight decrease from the previous day's 47.0% [13]. The correlation coefficient between BTC and the S&P 500 was at 0.3, suggesting a weak positive correlation [14]. The correlation between BTC and Ethereum (ETH) was at 0.8, indicating a strong positive correlation [15]. The correlation between BTC and AI-related tokens like SingularityNET (AGIX) was at 0.5, suggesting a moderate positive correlation [16]. The recent announcement of a major AI development by Google, which included the integration of AI into financial trading platforms, led to a 3% increase in the trading volume of AI-related tokens over the past 24 hours [17]. This development also influenced the sentiment in the crypto market, with a 2% increase in positive social media sentiment towards cryptocurrencies [18]. The trading volume of AI-related tokens, such as AGIX, increased from $150 million to $154.5 million over the past 24 hours, indicating heightened interest in AI-driven assets [19]. The correlation between AI news and the crypto market sentiment was evident, with a 1% increase in the overall market cap of AI-related tokens [20]. The integration of AI into trading platforms is expected to increase the efficiency and accuracy of trading strategies, potentially leading to higher trading volumes and more stable market conditions [21]. The impact of AI developments on the crypto market is becoming increasingly significant, as traders and investors look to leverage AI-driven insights for better decision-making [22]. The analysis of AI-crypto market correlation shows that positive AI news can lead to increased interest in AI-related tokens and a more optimistic outlook for the broader crypto market [23]. The trading opportunities in the AI/crypto crossover are becoming more apparent, with traders focusing on AI-driven tokens and their potential to outperform traditional cryptocurrencies [24]. The monitoring of AI-driven trading volume changes indicates a growing trend of AI integration in the crypto market, which could lead to more informed and strategic trading decisions [25].