2025年3月20日，envesco的比特幣ETF的大量流出為1020萬美元

在兩個小時內，比特幣的價格從65,080.25美元下降到64,320.75美元，引起了暴力市場反應。

The crypto market experienced a major shift on March 20, 2025, as Invesco’s Bitcoin ETF saw a large outflow of $10.2 million.

加密貨幣市場在2025年3月20日發生了重大變化，因為Invesco的比特幣ETF看到了1,020萬美元的大量流出。

Within two hours, the price of Bitcoin dropped by 1.2% from $65,080.25 to $64,320.75, which sparked a violent market reaction. Reflecting the rising volatility, the event also accelerated trade volumes on prominent exchange sites like Coinbase and Binance.

在兩個小時內，比特幣的價格從65,080.25美元降至64,320.75美元，這引發了暴力市場的反應。反映了波動性上升的情況，該事件還加速了在Coinbase和Binance等著名的交換站點上的貿易量。

At 14:00 (UTC), the total crypto market capitalization decreased by 0.5%, reaching $2.3 trillion.

在14:00（UTC），加密貨幣市值下降了0.5％，達到2.3萬億美元。

The chart shows that the major outflows from Bitcoin ETFs continued on March 20, with Invesco’s Bitcoin ETF reporting an outflow of $10.2 million.

圖表顯示，比特幣ETF的主要流出在3月20日繼續進行，Invesco的比特幣ETF報告說，流出量為1020萬美元。

Farside Investors explained that this was one example of a more sweeping development, as on that same day, Bitcoin ETFs experienced a total of $23.5 million of outflows.

Farside Investors解釋說，這是一個更全面發展的一個例子，因為當天，比特幣ETF經歷了總計2350萬美元的外流。

This great exodus significantly affected the value of Bitcoin, causing the price to fall by 1.2%. By 14:00 UTC, CoinMarketCap data showed that Bitcoin traded at $64,320.75, showing the bearish attitude rippling through the market.

這個巨大的出埃及體顯著影響了比特幣的價值，導致價格下跌1.2％。到14:00 UTC，CoinMarketCap數據顯示，比特幣的交易價格為64,320.75美元，顯示了看跌態度在市場上的波動。

At the same moment, notable exchanges’ trading activity soared. Coinbase logged 12,780 BTC over the same period and Binance 32,450 BTC. Given the surge in activity, traders were obviously responding quickly to the ETF news.

同時，著名的交易交易活動飆升。 Coinbase在同一時期記錄了12,780 BTC，二人32,450 BTC。鑑於活動的激增，交易者顯然對ETF新聞的反應很快。

As market participants shifted their holdings, the volume on the BTC/USDT and BTC/ETH trading pairs increased by 5% and 3%, respectively.

隨著市場參與者的持股轉移，BTC/USDT和BTC/ETH交易對的數量分別增加了5％和3％。

After the outflow, the crypto market experienced increased volatility throughout. Bollinger Bands grew by 10%, which indicated more volatility in prices.

流出後，加密貨幣市場的波動性增加了。 Bollinger樂隊增長了10％，這表明價格的波動性更高。

With an RSI of 45, bitcoin pointed to a possible oversold state that could draw bargain hunters. Moreover, the Moving Average Convergence Divergence (MACD) turned negative at -150, strengthening the near-term bearish perspective.

比特幣的RSI為45，指出了可能吸引討價還價獵人的可能的超賣狀態。此外，移動平均收斂差異（MACD）在-150時變為陰性，從而增強了近期的看跌視角。

Forming at 15:30 UTC, a ‘death cross’—normally bearish—occurred when the 50-day moving mean crossed below the 200-day moving average, technical patterns validated the downward trend.

當50天的移動平均值越過200天移動平均線以下時，技術模式在15:30 UTC形成UTC，“死亡十字架”（通常是看跌）。

Despite the negative perception, the hash rate of the Bitcoin network remained constant at 250 EH/s, which pointed to no swift alteration in mining activity.

儘管有負感知，但比特幣網絡的哈希速率在250 EH/s時保持恆定，這表明採礦活動沒有快速改變。

On the other hand, on-chain data from Glassnode indicated a 2% drop in active addresses and a 1.5% decrease in transaction volume, showing less engagement in the network.for all the data and disclaimers visit:https://t.co/04S8jMGSPF

另一方面，玻璃節鏈的鍊鍊數據表明，活動地址下降了2％，交易量減少了1.5％，顯示網絡中的參與度較小。對於所有數據和免責聲明，請訪問：https：//t.co/04s8jmgspf

The widespread effects of ETF outflows move beyond the instability of immediate price. The network Value to Transaction (NVT) ratio increased by 5%; Bitcoin seems to be trading at a premium regarding its transaction activity, which is often ahead of further improvements.

ETF流出的廣泛影響超出了立即價格的不穩定。交易（NVT）比率的網絡價值增加了​​5％；比特幣似乎在溢價其交易活動中進行交易，這通常是在進一步改進之前。

Analysts are closely following the AI-powered trading strategy, which can reduce some following pressure by identifying buying opportunities in oversold conditions.

分析師緊密遵循AI驅動的交易策略，這可以通過確定超售條件的購買機會來減輕以下壓力。

Moreover, AI Market insights increased the AI-powered crypto trading volume by 10% in the past month. This suggests that the algorithm trade can play a major role in stabilizing Bitcoin prices. Cryptocwant’s correlation analysis shows that AI-related tokens maintain a 0.7 correlation coefficient with SingleuretNet (AGIX) and Fech.AI (FET) Bitcoin, potentially offering a hedge against its instability.

此外，AI市場的見解在過去一個月中增加了AI驅動的加密貨幣交易量的10％。這表明算法貿易可以在穩定比特幣價格中發揮重要作用。 CryptoCwant的相關性分析表明，與AI相關的令牌保持了0.7相關係數與單尿素（AGIX）和Fech.ai（FET）比特幣，可能會提供針對其不穩定的樹籬。

Moving forward, market participants will look for more ETF outflows and technical indicators to gauge Bitcoin’s upcoming price movement.

向前邁進，市場參與者將尋找更多的ETF流出和技術指標來衡量比特幣即將到來的價格變動。