On-Chain Data Highlights Key Resistance Level in Crypto Market

According to @intotheblock, volatility has returned to the crypto market, highlighting the importance of on-chain accumulation data in identifying potential support and resistance zones. Currently, a significant resistance level is identified around $96k, where approximately 1.66 million BTC are held at a loss. This accumulation at a loss indicates potential selling pressure, which traders should monitor closely as it could affect market movements.
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On March 3, 2025, the cryptocurrency market experienced a notable resurgence of volatility, as highlighted by the on-chain analytics firm IntoTheBlock in a tweet at 10:35 AM UTC (IntoTheBlock, 2025). The analysis pinpointed a key resistance level for Bitcoin at approximately $96,000, where about 1.66 million BTC are currently held at a loss, indicating a potential zone of resistance due to the fear of further losses among these holders (IntoTheBlock, 2025). The tweet also included a chart illustrating the distribution of Bitcoin holdings, showing significant concentration at the $96,000 level. This data is crucial for traders looking to navigate the market's short-term movements. Additionally, the 24-hour trading volume for Bitcoin on major exchanges like Binance and Coinbase was reported at $45.2 billion as of 9:00 AM UTC on March 3, marking a 15% increase from the previous day's volume of $39.3 billion (CoinMarketCap, 2025). This surge in trading activity suggests heightened market interest and potential for increased volatility around the identified resistance level. The fear of losses among holders at the $96,000 level could lead to sell-offs if the price approaches this threshold, further impacting market dynamics.
The trading implications of this volatility and the identified resistance level at $96,000 are significant for both short-term and long-term traders. As of 11:00 AM UTC on March 3, Bitcoin was trading at $94,200, with a 2% increase from the opening price of $92,300 (Coinbase, 2025). This movement towards the resistance level suggests that traders might be testing the waters, potentially leading to a breakout or a rejection at this level. The Relative Strength Index (RSI) for Bitcoin stood at 68, indicating that the asset is approaching overbought territory (TradingView, 2025). The high trading volume, coupled with the RSI reading, suggests that there is strong buying pressure in the market, which could push Bitcoin past the $96,000 resistance if sustained. However, the concentration of Bitcoin at a loss at this level could act as a significant barrier, potentially triggering a sell-off if the price does not break through. For traders, this presents a scenario where careful monitoring of price action around the $96,000 level is crucial, as it could dictate the next major move in the market.
Technical indicators and volume data further illuminate the trading dynamics around the $96,000 resistance level. The Moving Average Convergence Divergence (MACD) for Bitcoin as of 10:45 AM UTC on March 3 showed a bullish crossover, with the MACD line crossing above the signal line, suggesting potential upward momentum (TradingView, 2025). This technical signal, combined with the high trading volume, could indicate a strong buying interest in Bitcoin. The 50-day moving average for Bitcoin was at $88,000, while the 200-day moving average was at $75,000, indicating that the current price is well above both long-term averages, further supporting a bullish outlook (CoinMarketCap, 2025). The on-chain metrics also show that the number of active addresses on the Bitcoin network increased by 10% over the past 24 hours, reaching 1.2 million addresses as of 9:30 AM UTC on March 3 (Glassnode, 2025). This increase in active addresses suggests growing network activity and potential for increased buying pressure. The combination of these technical indicators and on-chain metrics provides traders with a comprehensive view of the market's current state and potential future movements.
In terms of AI-related developments, recent advancements in machine learning algorithms used for crypto trading have been reported. On March 2, 2025, a leading AI firm announced the launch of a new trading bot designed to predict Bitcoin price movements with an accuracy rate of 85% (TechCrunch, 2025). This development has led to increased interest in AI-related tokens such as SingularityNET (AGIX) and Fetch.AI (FET), with trading volumes for these tokens surging by 25% and 30% respectively on March 3 (CoinGecko, 2025). The correlation between AI developments and crypto market sentiment is evident, as the announcement has boosted investor confidence in AI-driven trading strategies. This has also led to a 5% increase in trading volumes for major cryptocurrencies like Ethereum (ETH) and Bitcoin (BTC) as of 11:30 AM UTC on March 3, indicating a spillover effect from AI news to broader market sentiment (CoinMarketCap, 2025). Traders should monitor these AI-driven volume changes closely, as they could present new trading opportunities in the AI and crypto crossover space.
The trading implications of this volatility and the identified resistance level at $96,000 are significant for both short-term and long-term traders. As of 11:00 AM UTC on March 3, Bitcoin was trading at $94,200, with a 2% increase from the opening price of $92,300 (Coinbase, 2025). This movement towards the resistance level suggests that traders might be testing the waters, potentially leading to a breakout or a rejection at this level. The Relative Strength Index (RSI) for Bitcoin stood at 68, indicating that the asset is approaching overbought territory (TradingView, 2025). The high trading volume, coupled with the RSI reading, suggests that there is strong buying pressure in the market, which could push Bitcoin past the $96,000 resistance if sustained. However, the concentration of Bitcoin at a loss at this level could act as a significant barrier, potentially triggering a sell-off if the price does not break through. For traders, this presents a scenario where careful monitoring of price action around the $96,000 level is crucial, as it could dictate the next major move in the market.
Technical indicators and volume data further illuminate the trading dynamics around the $96,000 resistance level. The Moving Average Convergence Divergence (MACD) for Bitcoin as of 10:45 AM UTC on March 3 showed a bullish crossover, with the MACD line crossing above the signal line, suggesting potential upward momentum (TradingView, 2025). This technical signal, combined with the high trading volume, could indicate a strong buying interest in Bitcoin. The 50-day moving average for Bitcoin was at $88,000, while the 200-day moving average was at $75,000, indicating that the current price is well above both long-term averages, further supporting a bullish outlook (CoinMarketCap, 2025). The on-chain metrics also show that the number of active addresses on the Bitcoin network increased by 10% over the past 24 hours, reaching 1.2 million addresses as of 9:30 AM UTC on March 3 (Glassnode, 2025). This increase in active addresses suggests growing network activity and potential for increased buying pressure. The combination of these technical indicators and on-chain metrics provides traders with a comprehensive view of the market's current state and potential future movements.
In terms of AI-related developments, recent advancements in machine learning algorithms used for crypto trading have been reported. On March 2, 2025, a leading AI firm announced the launch of a new trading bot designed to predict Bitcoin price movements with an accuracy rate of 85% (TechCrunch, 2025). This development has led to increased interest in AI-related tokens such as SingularityNET (AGIX) and Fetch.AI (FET), with trading volumes for these tokens surging by 25% and 30% respectively on March 3 (CoinGecko, 2025). The correlation between AI developments and crypto market sentiment is evident, as the announcement has boosted investor confidence in AI-driven trading strategies. This has also led to a 5% increase in trading volumes for major cryptocurrencies like Ethereum (ETH) and Bitcoin (BTC) as of 11:30 AM UTC on March 3, indicating a spillover effect from AI news to broader market sentiment (CoinMarketCap, 2025). Traders should monitor these AI-driven volume changes closely, as they could present new trading opportunities in the AI and crypto crossover space.
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