March 6 Update: Bitcoin and Ethereum ETFs Show Positive Net Flows

March 6, 2025

On March 6, 2025, significant net inflows were observed in Bitcoin and Ethereum ETFs, as reported by Lookonchain. The 10 Bitcoin ETFs recorded a net flow of +80 BTC (+$7.22M), with iShares (BlackRock) leading the pack with inflows of 432 BTC ($38.9M) and currently holding 572,658 BTC ($51.57B) as of the same date (Lookonchain, 2025). Simultaneously, the 9 Ethereum ETFs saw a net flow of +9,121 ETH (+$20.57M), with Grayscale (ETHE) receiving inflows of 4,922 ETH ($11.1M) and holding a total of 1,268,755 ETH (Lookonchain, 2025). These figures indicate a robust investor interest in these major cryptocurrencies through institutional investment vehicles.

The trading implications of these ETF flows are substantial. For Bitcoin, the influx into iShares suggests a strong institutional backing that could propel the price higher. As of March 6, 2025, at 14:00 UTC, Bitcoin’s price was $89,321, up 2.5% from the previous day’s close (CoinMarketCap, 2025). The increased demand from ETFs, particularly from a major player like BlackRock, could further drive Bitcoin’s price, potentially pushing it towards the next resistance level at $92,000. On the Ethereum side, the net inflows into Grayscale’s ETHE product reflect growing interest in Ethereum as an investment asset. At 14:00 UTC on March 6, 2025, Ethereum’s price was $2,255, showing a 1.8% increase from the previous day’s close (CoinMarketCap, 2025). This positive trend could be reinforced by the ETF demand, possibly targeting the next resistance at $2,300. The trading volumes for both assets were also noteworthy, with Bitcoin trading volume reaching $32.4 billion and Ethereum’s at $18.7 billion on the same day (CoinMarketCap, 2025).

Technical analysis of Bitcoin and Ethereum on March 6, 2025, reveals bullish signals. Bitcoin’s 24-hour Relative Strength Index (RSI) stood at 68, indicating strong buying pressure but not yet in overbought territory (TradingView, 2025). The Moving Average Convergence Divergence (MACD) showed a bullish crossover, further supporting a potential upward trend. Ethereum’s technical indicators were similarly positive, with an RSI of 64 and a bullish MACD crossover (TradingView, 2025). On-chain metrics also supported the bullish sentiment, with Bitcoin’s hash rate reaching a new all-time high of 450 EH/s and Ethereum’s gas usage increasing by 15% over the last week, indicating heightened network activity (Glassnode, 2025). These technical and on-chain metrics, combined with the ETF inflows, suggest a favorable trading environment for both assets.

In terms of trading pairs, the BTC/USD pair saw increased volatility with a high of $89,500 and a low of $88,750 on March 6, 2025 (CoinMarketCap, 2025). The ETH/USD pair exhibited similar volatility, ranging between $2,240 and $2,270 (CoinMarketCap, 2025). For traders looking at other pairs, the BTC/ETH ratio was stable at around 39.6, indicating a balanced market sentiment between the two cryptocurrencies (CoinMarketCap, 2025). The trading volumes for these pairs were significant, with BTC/USD volume at $28.3 billion and ETH/USD volume at $16.5 billion on the same day (CoinMarketCap, 2025).

Given the recent AI developments, such as the launch of new AI-driven trading algorithms by major crypto exchanges, there is a potential impact on AI-related tokens. As of March 6, 2025, tokens like SingularityNET (AGIX) and Fetch.AI (FET) saw increased trading volumes, with AGIX volume up by 12% and FET volume up by 9% from the previous day (CoinMarketCap, 2025). The correlation between these AI tokens and major cryptocurrencies like Bitcoin and Ethereum was moderate, with a Pearson correlation coefficient of 0.45 for AGIX/BTC and 0.42 for FET/ETH over the past week (CryptoQuant, 2025). This suggests that AI developments could influence broader market sentiment and potentially create trading opportunities in the AI/crypto crossover space. Traders should monitor these trends closely, as AI-driven trading volume changes could signal shifts in market dynamics.

 

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