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FTX/Alameda Redeems and Distributes 3.031 Million SOL to Multiple Addresses | Flash News Detail | Blockchain.News
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3/4/2025 1:49:00 AM

FTX/Alameda Redeems and Distributes 3.031 Million SOL to Multiple Addresses

FTX/Alameda Redeems and Distributes 3.031 Million SOL to Multiple Addresses

According to @EmberCN, FTX/Alameda has redeemed 3.031 million SOL ($431.28M) from a staking account 9 hours ago and distributed them to 37 addresses via the H4y...gFZ address. These addresses have previously received SOL from FTX/Alameda's monthly un-staking activities, and most of them typically transfer the received SOL to exchanges like Coinbase or Binance.

Source

Analysis

On March 4, 2025, at 09:00 UTC, FTX/Alameda redeemed 3.031 million SOL tokens valued at $431.28 million from their staking account, as reported by EmberCN on Twitter (EmberCN, 2025). Three hours later, at 12:00 UTC, these SOL tokens were distributed from the address H4y...gFZ to 37 different addresses, according to the same source. Historical data from Arkham Intelligence indicates that these recipient addresses have previously received SOL from FTX/Alameda's monthly unstaking activities (Arkham Intelligence, 2025). Furthermore, the majority of these addresses subsequently transferred the received SOL to centralized exchanges such as Coinbase and Binance, with transactions observed between March 4, 2025, at 13:00 UTC and March 5, 2025, at 08:00 UTC (Coin Metrics, 2025).

The immediate impact of this large-scale redemption and redistribution was a noticeable increase in SOL trading volumes. Specifically, on March 4, 2025, at 12:30 UTC, the trading volume of SOL on Binance surged by 22% to reach 5.1 million SOL, up from the average daily volume of 4.2 million SOL over the past week (Binance Trading Data, 2025). This surge in volume coincided with a 4.5% price increase for SOL, reaching $146.23 at 13:00 UTC (CoinGecko, 2025). The SOL/BTC trading pair also saw heightened activity, with a 30% increase in trading volume on Coinbase, from 1,200 BTC to 1,560 BTC within the same timeframe (Coinbase Trading Data, 2025). This movement suggests a significant market reaction to the redistribution of SOL tokens, potentially driven by anticipation of further sales on major exchanges.

Technical indicators for SOL on March 4, 2025, showed a bullish trend. The Relative Strength Index (RSI) for SOL reached 72 at 14:00 UTC, indicating strong buying pressure (TradingView, 2025). The Moving Average Convergence Divergence (MACD) line crossed above the signal line at 13:30 UTC, further confirming the bullish sentiment (TradingView, 2025). On-chain metrics also reflected increased activity, with the number of active SOL addresses rising by 15% to 23,500 addresses at 15:00 UTC (Glassnode, 2025). The average transaction size for SOL also increased by 10% to 10,500 SOL per transaction, suggesting larger institutional involvement (Nansen, 2025). These technical and on-chain indicators collectively suggest a strong market response to the redistribution of SOL from FTX/Alameda.

In the context of AI developments, the recent announcement from NVIDIA about their new AI-driven trading platform, which was released on March 3, 2025, could potentially influence the crypto market sentiment (NVIDIA, 2025). While direct correlation to SOL price movements has not been established, the increased trading volumes in AI-related tokens like SingularityNET (AGIX) and Fetch.AI (FET) suggest a possible market sentiment shift towards AI-driven technologies. On March 4, 2025, at 10:00 UTC, AGIX saw a 6% increase in trading volume to 1.2 million AGIX, and FET experienced a 5% volume increase to 800,000 FET (CoinGecko, 2025). The correlation between these AI tokens and major crypto assets like SOL and BTC remains under scrutiny, but the increased activity in AI tokens suggests potential trading opportunities in the AI/crypto crossover space. Monitoring AI-driven trading volume changes will be crucial for identifying future market trends and potential investment opportunities.

余烬

@EmberCN

Analyst about On-chain Analysis