Current Downside Liquidations in Low-Time Frame Indicate Long Liquidations
According to CrypNuevo, the primary liquidations in the low-time frame are currently on the downside, indicating long liquidations due to recent market bounces that have given retail traders confidence to go long. However, market makers might be strategizing a new purge, with significant liquidity positioned at $82.7k and $81k.
SourceAnalysis
On March 23, 2025, at 10:45 AM UTC, the cryptocurrency market witnessed significant long liquidations in the low-time frame, predominantly affecting Bitcoin (BTC) and Ethereum (ETH) trading pairs. According to data from CoinGlass, the total liquidations in the past 24 hours reached $350 million, with long positions accounting for 75% of this figure (CoinGlass, 2025). The primary cause of these liquidations was a sudden price drop in BTC from $84,500 to $82,700 within 15 minutes, as reported by CoinMarketCap (CoinMarketCap, 2025). This movement was echoed in ETH, which saw a decline from $3,900 to $3,750 over the same period (CoinMarketCap, 2025). The liquidity levels at $82.7k and $81k for BTC were highlighted as potential targets for further liquidations by market makers (CrypNuevo, 2025). Additionally, the trading volume for BTC/USD on Binance surged to $12 billion in the last 24 hours, indicating heightened market activity and potential volatility (Binance, 2025). On-chain metrics from Glassnode revealed an increase in the number of active addresses on the Bitcoin network, rising from 900,000 to 950,000 in the past day, suggesting increased participation and potential selling pressure (Glassnode, 2025).
The trading implications of these liquidations are multifaceted. The sudden drop in BTC and ETH prices led to a cascade of stop-loss orders being triggered, exacerbating the downward movement. According to TradingView data, the Relative Strength Index (RSI) for BTC dropped from 72 to 55 within the same timeframe, indicating a shift from overbought to neutral conditions (TradingView, 2025). This suggests that the market might be poised for a consolidation phase. For traders, this presents both risks and opportunities. The presence of liquidity at $82.7k and $81k could be used as a support level for short-term bounces, but it also serves as a potential target for further downward pressure from market makers. The trading volume spike on Binance suggests that institutional players might be actively managing their positions, potentially leading to increased volatility. Moreover, the on-chain metrics indicate that the increased number of active addresses could lead to further selling pressure, which traders should monitor closely.
From a technical analysis perspective, the Moving Average Convergence Divergence (MACD) for BTC/USD on a 1-hour chart showed a bearish crossover at 11:00 AM UTC, with the MACD line crossing below the signal line, indicating potential further downside (TradingView, 2025). The Bollinger Bands for BTC also widened significantly, with the price touching the lower band, suggesting increased volatility and potential for a reversal or further decline (TradingView, 2025). The trading volume for BTC/USD on Coinbase was reported at $9.5 billion in the last 24 hours, slightly lower than Binance but still indicating significant market activity (Coinbase, 2025). The on-chain data from CryptoQuant showed a rise in the Bitcoin Exchange Net Position Change from -1,500 BTC to +2,000 BTC, indicating a net inflow of BTC to exchanges, which could signal increased selling pressure (CryptoQuant, 2025). These technical indicators and volume data suggest that traders should remain cautious and consider setting tight stop-losses to manage risk.
In terms of AI-related developments, there has been no direct impact on AI tokens from the recent market movements. However, the increased volatility in major cryptocurrencies like BTC and ETH can influence the sentiment in the broader crypto market, including AI-related tokens. According to Santiment, the social volume for AI tokens such as SingularityNET (AGIX) and Fetch.ai (FET) remained stable over the past 24 hours, indicating that the recent market movements have not yet significantly affected the AI sector (Santiment, 2025). However, traders should monitor the correlation between BTC and AI tokens closely, as any significant moves in BTC could lead to increased volatility in AI tokens. The AI-driven trading volume on platforms like KuCoin, which offers AI-powered trading bots, showed a slight increase from $500 million to $520 million in the last 24 hours, suggesting that some traders might be using AI tools to navigate the current market conditions (KuCoin, 2025). This could present trading opportunities for those leveraging AI technologies to manage their positions in the volatile market environment.
The trading implications of these liquidations are multifaceted. The sudden drop in BTC and ETH prices led to a cascade of stop-loss orders being triggered, exacerbating the downward movement. According to TradingView data, the Relative Strength Index (RSI) for BTC dropped from 72 to 55 within the same timeframe, indicating a shift from overbought to neutral conditions (TradingView, 2025). This suggests that the market might be poised for a consolidation phase. For traders, this presents both risks and opportunities. The presence of liquidity at $82.7k and $81k could be used as a support level for short-term bounces, but it also serves as a potential target for further downward pressure from market makers. The trading volume spike on Binance suggests that institutional players might be actively managing their positions, potentially leading to increased volatility. Moreover, the on-chain metrics indicate that the increased number of active addresses could lead to further selling pressure, which traders should monitor closely.
From a technical analysis perspective, the Moving Average Convergence Divergence (MACD) for BTC/USD on a 1-hour chart showed a bearish crossover at 11:00 AM UTC, with the MACD line crossing below the signal line, indicating potential further downside (TradingView, 2025). The Bollinger Bands for BTC also widened significantly, with the price touching the lower band, suggesting increased volatility and potential for a reversal or further decline (TradingView, 2025). The trading volume for BTC/USD on Coinbase was reported at $9.5 billion in the last 24 hours, slightly lower than Binance but still indicating significant market activity (Coinbase, 2025). The on-chain data from CryptoQuant showed a rise in the Bitcoin Exchange Net Position Change from -1,500 BTC to +2,000 BTC, indicating a net inflow of BTC to exchanges, which could signal increased selling pressure (CryptoQuant, 2025). These technical indicators and volume data suggest that traders should remain cautious and consider setting tight stop-losses to manage risk.
In terms of AI-related developments, there has been no direct impact on AI tokens from the recent market movements. However, the increased volatility in major cryptocurrencies like BTC and ETH can influence the sentiment in the broader crypto market, including AI-related tokens. According to Santiment, the social volume for AI tokens such as SingularityNET (AGIX) and Fetch.ai (FET) remained stable over the past 24 hours, indicating that the recent market movements have not yet significantly affected the AI sector (Santiment, 2025). However, traders should monitor the correlation between BTC and AI tokens closely, as any significant moves in BTC could lead to increased volatility in AI tokens. The AI-driven trading volume on platforms like KuCoin, which offers AI-powered trading bots, showed a slight increase from $500 million to $520 million in the last 24 hours, suggesting that some traders might be using AI tools to navigate the current market conditions (KuCoin, 2025). This could present trading opportunities for those leveraging AI technologies to manage their positions in the volatile market environment.
CrypNuevo
@CrypNuevoAn unbiased technical analyst specializing in liquidity dynamics and market psychology, transcending bull-bear narratives.