Le flux de capitaux vers le ETF Bitcoin... entrée nette continue pendant 4 jours de négociation

Bitcoin(BTC) price has regained momentum over the past week, while U.S. spot Bitcoin ETF funds have also seen rapid inflows. Analysts believe this is due to easing tensions in the Middle East and a rebound in market risk appetite.

Funds are flowing back into Bitcoin ETFs… achieving “net inflows” for four consecutive trading days

On the 19th local time, according to CoinTelegraph, the U.S.-listed spot Bitcoin ETF recorded a single-day “net inflow” of $663.9 million on the 17th. This marks the fourth consecutive day of fund inflows, indicating a clear improvement in recent investor sentiment.

According to data compiled by SoSoValue, BlackRock’s iShares Bitcoin Trust(IBIT) attracted the most funds with $283 million, followed by Fidelity’s Wise Origin Bitcoin Fund(FBTC) with $163.42 million. Ark 21Shares Bitcoin ETF(ARKB) also saw inflows of $117.9 million. Grayscale Bitcoin Trust(GBTC), Grayscale Bitcoin Mini Trust(BTC), VanEck Bitcoin Trust(HODL), and Invesco Galaxy Bitcoin ETF(BTCO) also all experienced net fund inflows.

On a weekly basis, approximately $996.38 million flowed in, following $786.31 million the previous week, marking two consecutive weeks of “net inflows.” An on-chain analyst particularly noted that ETF trading volume increased to $47 billion, nearing the spot market’s $62 billion trading volume. However, he pointed out that the ETF’s average purchase cost is about $82,247, and holders are still in a floating loss position.

As of press time, Bitcoin is trading near $75,664, down over 2% in 24 hours. However, some interpret this as a sign that, despite continuous ETF fund inflows, institutional demand has not fully diminished during recent adjustments. Amid uncertainties in Middle East tensions and macro variables, Bitcoin(BTC) and spot Bitcoin ETFs are once again attracting market attention.

Article summary by TokenPost.ai 🔎 Market interpretation: As Bitcoin rebounds, U.S. spot ETF experiences four consecutive days of fund inflows, improving investor sentiment. Middle East risk easing → risk asset preference recovers → confirms institutional fund re-entry trend. ETF trading volume approaching spot market, indicating growing influence of traditional financial markets. 💡 Strategic points: Despite short-term price adjustments, ETF fund inflows signal sustained medium- to long-term demand. Current prices below the average purchase cost(around $82,247), meaning institutions are still in a loss zone and may add to their positions. Whether ETF inflows can continue is a key indicator of future upward trends. 📘 Terminology explanation: Spot Bitcoin ETF: An exchange-traded fund tracking the price of actual Bitcoin. Net inflow: A state where new fund inflows exceed outflows. On-chain analysis: A method of analyzing market trends based on blockchain data. Average purchase cost: The average price at which investors buy assets.

💡 Frequently Asked Questions (FAQ)

Q. Why does Bitcoin’s price fall while ETF funds continue to flow in? Short-term prices and institutional fund flows may not be synchronized. ETF inflows suggest that, from a medium- to long-term investment perspective, Bitcoin demand is maintained, which may also reflect the market’s view of price adjustments as buying opportunities.
Q. Will continuous ETF inflows necessarily lead to price increases? Not necessarily, but sustained inflows strengthen demand fundamentals. Especially if institutional funds steadily enter, they can support downside limits and increase the likelihood of medium- to long-term upward movement.
Q. What does it mean if the ETF’s average purchase price is higher than the current price? It indicates that a significant portion of ETF investors are currently in floating losses. While this may exert short-term selling pressure, it could also motivate strategies to lower costs through additional purchases, which will be an important variable influencing future market direction.

TP AI注意事项 This article summary is generated based on the TokenPost.ai language model. The main content of the body may be omitted or may differ from actual facts.