Bitcoin ETFs Turn Weekly Positive Despite $774M Outflows

| decrypt.co
US spot Bitcoin ETFs saw heavy withdrawals late in the week: Thursday’s $635.6 million outflow was followed by $137.9 million on Friday, bringing reported two-day withdrawals to about $773.5 million. Yet Bitcoin ETFs still recorded roughly $301 million in weekly net inflows, ending a two-week run of weekly losses. October outflows reached about $314 million, while cumulative net inflows stood at $57.6 billion. Ethereum ETFs took in $4.4 million on Friday but lost about $221 million over the week and roughly $1.18 billion in October. Solana ETFs recorded no net flows Friday and remained down about $68 million for the month. In the latest snapshot, Bitcoin fell about 1.1% over 24 hours to around $80,490, with Ether and Solana also lower. Myriad traders raised the odds of Bitcoin falling to $77,500 by month-end to 43%, from 32% a day earlier. The outflows and weaker price outlook signal cautious sentiment, although Bitcoin ETFs’ positive weekly total and large cumulative inflows suggest institutional demand has not disappeared.
Bearish
The immediate price signal is bearish for Bitcoin: large ETF withdrawals coincided with a roughly 1.1% 24-hour decline, and prediction-market traders became more concerned about a drop to $77,500. Continued outflows can weaken near-term institutional demand and add selling pressure, particularly if Bitcoin approaches key support levels or broader market sentiment deteriorates. The picture is not uniformly negative. Bitcoin ETFs still posted about $301 million in weekly net inflows, and their cumulative inflows remain substantial. Those figures suggest that demand persists and may help absorb selling, limiting the risk of an abrupt market dislocation. Historically, ETF outflows can weigh on prices in the short term, but they do not by themselves establish a lasting trend; flows, spot-market demand and macroeconomic conditions will matter. On balance, the near-term price impact is bearish, while the weekly and cumulative flow data temper the longer-term downside case.