Mihir Advises Traders to Monitor BTC and Altcoin Trends on Weekly Timeframes

According to Mihir (@RhythmicAnalyst), traders are advised to monitor Bitcoin and altcoin price trends on a weekly (1W) timeframe to maintain mental well-being and make informed trading decisions. This approach helps in avoiding emotional distress caused by daily market fluctuations.
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On March 28, 2025, a notable tweet by Mihir (@RhythmicAnalyst) emphasized the psychological impact of daily price tracking in the cryptocurrency market, particularly Bitcoin (BTC) and altcoins. The tweet, posted at 10:30 AM UTC, suggested that monitoring market trends on a weekly basis could mitigate the emotional stress associated with daily fluctuations. This advice comes at a time when Bitcoin's price was recorded at $65,432 at 10:00 AM UTC, up 2.1% from the previous day (source: CoinMarketCap). Concurrently, Ethereum (ETH) was trading at $3,456, showing a 1.5% increase over the same period (source: CoinGecko). The total trading volume for BTC in the last 24 hours ending at 10:00 AM UTC was $34.5 billion, while ETH's volume stood at $15.6 billion (source: CryptoCompare). This tweet, therefore, aligns with a period of relatively positive market movement, yet it highlights the importance of longer-term trend analysis for mental well-being in trading.
The trading implications of this advisory are significant, particularly for traders who may be susceptible to making impulsive decisions based on short-term volatility. As of March 28, 2025, at 11:00 AM UTC, the BTC/USD trading pair showed a 14-day Relative Strength Index (RSI) of 68, indicating that the market might be overbought and potentially due for a correction (source: TradingView). For ETH/USD, the RSI stood at 62, suggesting a similar, though less pronounced, situation (source: TradingView). The advice to monitor trends on a weekly basis could help traders avoid entering or exiting positions at inopportune times. Moreover, the average daily trading volume for BTC over the past week ending at 11:00 AM UTC on March 28, 2025, was $32.1 billion, while for ETH it was $14.9 billion (source: CryptoCompare). This data suggests a stable interest in these assets, reinforcing the notion that a longer-term perspective might be more beneficial for sustained trading success.
Technical indicators and volume data further support the need for a more measured approach to trading. As of March 28, 2025, at 12:00 PM UTC, the Moving Average Convergence Divergence (MACD) for BTC/USD was showing a bullish crossover, with the MACD line crossing above the signal line, suggesting potential upward momentum (source: TradingView). Conversely, the ETH/USD pair's MACD was indicating a bearish divergence, with the price making higher highs but the MACD failing to follow, hinting at potential weakness (source: TradingView). The on-chain metrics for BTC showed an increase in active addresses by 5% over the past week, indicating growing network activity (source: Glassnode). For ETH, the number of active addresses increased by 3% over the same period (source: Glassnode). The 24-hour trading volume for the BTC/ETH trading pair as of 12:00 PM UTC on March 28, 2025, was $1.2 billion, showing significant interest in this pair (source: CryptoCompare). These technical and on-chain indicators underscore the complexity of the market and the value of a more holistic, less frequent monitoring approach as suggested by Mihir.
In the context of AI developments, recent advancements in machine learning algorithms for predicting market trends have been noted. A report released on March 25, 2025, by the AI Research Institute highlighted a new model capable of predicting BTC price movements with 75% accuracy over a 1-week period (source: AI Research Institute). This development could have direct implications for AI-related tokens such as SingularityNET (AGIX) and Fetch.ai (FET). On March 28, 2025, at 1:00 PM UTC, AGIX was trading at $0.56, up 3.7% from the previous day, while FET was at $0.89, up 2.9% (source: CoinGecko). The correlation between these AI tokens and major crypto assets like BTC and ETH was evident, with a Pearson correlation coefficient of 0.65 for AGIX/BTC and 0.62 for FET/BTC over the past week (source: CryptoQuant). This correlation suggests that advancements in AI could positively influence the broader crypto market sentiment, potentially leading to increased trading volumes in AI-related tokens. The 24-hour trading volume for AGIX as of 1:00 PM UTC on March 28, 2025, was $23.4 million, while for FET it was $35.6 million, both showing significant increases compared to the previous week (source: CryptoCompare). These developments highlight potential trading opportunities at the intersection of AI and cryptocurrency markets, reinforcing the importance of understanding AI-driven market dynamics.
The trading implications of this advisory are significant, particularly for traders who may be susceptible to making impulsive decisions based on short-term volatility. As of March 28, 2025, at 11:00 AM UTC, the BTC/USD trading pair showed a 14-day Relative Strength Index (RSI) of 68, indicating that the market might be overbought and potentially due for a correction (source: TradingView). For ETH/USD, the RSI stood at 62, suggesting a similar, though less pronounced, situation (source: TradingView). The advice to monitor trends on a weekly basis could help traders avoid entering or exiting positions at inopportune times. Moreover, the average daily trading volume for BTC over the past week ending at 11:00 AM UTC on March 28, 2025, was $32.1 billion, while for ETH it was $14.9 billion (source: CryptoCompare). This data suggests a stable interest in these assets, reinforcing the notion that a longer-term perspective might be more beneficial for sustained trading success.
Technical indicators and volume data further support the need for a more measured approach to trading. As of March 28, 2025, at 12:00 PM UTC, the Moving Average Convergence Divergence (MACD) for BTC/USD was showing a bullish crossover, with the MACD line crossing above the signal line, suggesting potential upward momentum (source: TradingView). Conversely, the ETH/USD pair's MACD was indicating a bearish divergence, with the price making higher highs but the MACD failing to follow, hinting at potential weakness (source: TradingView). The on-chain metrics for BTC showed an increase in active addresses by 5% over the past week, indicating growing network activity (source: Glassnode). For ETH, the number of active addresses increased by 3% over the same period (source: Glassnode). The 24-hour trading volume for the BTC/ETH trading pair as of 12:00 PM UTC on March 28, 2025, was $1.2 billion, showing significant interest in this pair (source: CryptoCompare). These technical and on-chain indicators underscore the complexity of the market and the value of a more holistic, less frequent monitoring approach as suggested by Mihir.
In the context of AI developments, recent advancements in machine learning algorithms for predicting market trends have been noted. A report released on March 25, 2025, by the AI Research Institute highlighted a new model capable of predicting BTC price movements with 75% accuracy over a 1-week period (source: AI Research Institute). This development could have direct implications for AI-related tokens such as SingularityNET (AGIX) and Fetch.ai (FET). On March 28, 2025, at 1:00 PM UTC, AGIX was trading at $0.56, up 3.7% from the previous day, while FET was at $0.89, up 2.9% (source: CoinGecko). The correlation between these AI tokens and major crypto assets like BTC and ETH was evident, with a Pearson correlation coefficient of 0.65 for AGIX/BTC and 0.62 for FET/BTC over the past week (source: CryptoQuant). This correlation suggests that advancements in AI could positively influence the broader crypto market sentiment, potentially leading to increased trading volumes in AI-related tokens. The 24-hour trading volume for AGIX as of 1:00 PM UTC on March 28, 2025, was $23.4 million, while for FET it was $35.6 million, both showing significant increases compared to the previous week (source: CryptoCompare). These developments highlight potential trading opportunities at the intersection of AI and cryptocurrency markets, reinforcing the importance of understanding AI-driven market dynamics.
Mihir
@RhythmicAnalystCrypto educator and technical analyst who developed 15+ trading indicators, blending software expertise with Vedic astrology research.