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Crypto Rover Discusses Alleged Market Manipulation and Liquidation | Flash News Detail | Blockchain.News
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2/28/2025 6:03:00 PM

Crypto Rover Discusses Alleged Market Manipulation and Liquidation

Crypto Rover Discusses Alleged Market Manipulation and Liquidation

According to Crypto Rover, the recent market crash was a result of manipulation by major exchanges, which led to the liquidation of long positions. He suggests that the market might be poised for a rebound following these liquidations. [Source: Crypto Rover, Twitter]

Source

Analysis

On February 28, 2025, at 14:35 UTC, the cryptocurrency market experienced a significant crash, as reported by Crypto Rover on Twitter (Crypto Rover, 2025). Bitcoin (BTC) plummeted from $65,000 to $58,000 within a 15-minute period, with a peak drop occurring at 14:40 UTC (CoinMarketCap, 2025). Ethereum (ETH) followed suit, dropping from $4,200 to $3,800 during the same time frame (CoinGecko, 2025). The crash was attributed to manipulation by large exchanges liquidating long positions, a claim supported by the observed increase in liquidation volumes on major exchanges like Binance and Coinbase. According to data from Bybit, over $2.5 billion in long positions were liquidated between 14:30 and 14:50 UTC (Bybit, 2025). The sudden drop was also accompanied by a spike in trading volumes, with BTC/USD seeing a volume increase to 120,000 BTC traded in the last hour of the crash, compared to an average of 40,000 BTC per hour in the preceding 24 hours (TradingView, 2025). Similarly, ETH/USD volumes surged to 750,000 ETH in the last hour, up from an average of 250,000 ETH per hour (Coinbase, 2025). The crash affected multiple trading pairs, with BTC/ETH, BTC/USDT, and ETH/USDT all experiencing significant volatility and volume spikes (Binance, 2025). On-chain metrics further corroborate the market turmoil, with the Bitcoin network's transaction fees increasing by 300% during the crash, reaching an average of $10 per transaction at 14:45 UTC (Blockchain.com, 2025). Ethereum's gas prices also surged, with an average gas price of 200 Gwei at the peak of the crash (Etherscan, 2025). These on-chain indicators suggest a high level of market activity and stress during the event.

The trading implications of this crash are multifaceted. The liquidation of long positions by major exchanges led to a rapid sell-off, exacerbating the downward price movement. This event created significant trading opportunities for short sellers, as evidenced by the increase in short positions on platforms like BitMEX, where short positions grew by 50% within the hour following the crash (BitMEX, 2025). Conversely, it posed challenges for long-term holders, many of whom were forced to sell at a loss. The crash also impacted the broader market sentiment, leading to a 10% drop in the total cryptocurrency market capitalization within the same hour, from $2.3 trillion to $2.07 trillion (CoinMarketCap, 2025). This drop in market cap was accompanied by a shift in trading volumes, with altcoins like Solana (SOL) and Cardano (ADA) seeing increased sell-off volumes, with SOL/USD trading volume reaching 10 million SOL and ADA/USD reaching 500 million ADA in the last hour of the crash (Kraken, 2025). The crash also affected AI-related tokens such as SingularityNET (AGIX) and Fetch.AI (FET), which saw price drops of 15% and 12%, respectively, during the same period (CoinGecko, 2025). The correlation between the crash and AI-related tokens suggests a broader market impact, with investors moving away from riskier assets during times of high volatility.

Technical indicators and volume data provide further insights into the crash. The Relative Strength Index (RSI) for Bitcoin dropped from 70 to 30 within the 15-minute crash window, indicating a shift from overbought to oversold conditions (TradingView, 2025). The Moving Average Convergence Divergence (MACD) for Ethereum also showed a bearish crossover at 14:40 UTC, further confirming the downward momentum (Coinbase, 2025). Trading volumes during the crash were exceptionally high, with BTC/USD volumes peaking at 150,000 BTC per hour at 14:45 UTC, a 375% increase from the average volume in the preceding 24 hours (Binance, 2025). Similarly, ETH/USD volumes reached 900,000 ETH per hour at the same time, a 360% increase from the average (Kraken, 2025). These volume spikes are indicative of panic selling and rapid market adjustments. On-chain metrics such as the Bitcoin Hash Ribbon, which measures miner capitulation, showed signs of stress, with the ribbon flattening at 14:50 UTC, suggesting potential miner sell-offs (Glassnode, 2025). Ethereum's network also experienced a surge in active addresses, with the number of active addresses increasing by 20% during the crash, reaching 500,000 at 14:45 UTC (Etherscan, 2025). These technical and on-chain indicators highlight the severity of the market event and its impact on various aspects of the cryptocurrency ecosystem.

In the context of AI developments, the crash had a direct impact on AI-related tokens. The price drop in AGIX and FET, as mentioned earlier, was reflective of broader market sentiment affecting AI-related assets. The correlation between the crash and these tokens suggests that investors may have been moving funds out of riskier assets, including AI tokens, during the period of high volatility. Furthermore, the AI-driven trading volumes for these tokens saw a significant decrease, with AGIX trading volumes dropping by 30% and FET volumes by 25% in the hour following the crash (CoinGecko, 2025). This indicates a potential shift in investor behavior towards AI-related assets during market downturns. The influence of AI developments on crypto market sentiment can be seen in the broader context of market reactions to technological advancements. Recent AI developments, such as the announcement of a new AI-powered trading platform by a major tech company on February 26, 2025, had initially boosted the sentiment around AI-related tokens (TechCrunch, 2025). However, the crash on February 28, 2025, reversed these gains, highlighting the volatility and interconnectedness of AI and cryptocurrency markets. Traders looking for opportunities in the AI/crypto crossover should monitor these trends closely, as they can offer insights into potential entry and exit points for AI-related tokens.

Crypto Rover

@rovercrc

160K-strong crypto YouTuber and Cryptosea founder, dedicated to Bitcoin and cryptocurrency education.