Bitcoin ETF Inflow Streak Hits $2.5 Billion as PCE, GDP, Durable Goods Converge

CoinGecko data shows Bitcoin ETFs have pulled in $2.5 billion of net new money across a consecutive-day streak, and the run faces its first real stress test today as three major U.S. economic prints land at the same hour. per CoinGecko, BlackRock's IBIT delivered 90.5% of the most recent single-day inflow, extending a pattern where the largest fund has consistently captured the bulk of institutional demand. The streak has coincided with bitcoin's climb from $69,291 to a seven-day high of $78,974, though the asset slipped to $78,326 by 14:00 UTC, down 0.88% on the session. At 12:30 UTC the Bureau of Economic Analysis releases the personal consumption expenditures price index, the Federal Reserve's preferred inflation gauge, alongside the advance estimate for second-quarter GDP and the durable goods orders report. The convergence is rare, three market-moving datasets in one timestamp, and desks are watching whether the inflow momentum survives the volatility window.

Figures from the desk show spot volume across major exchanges reached $31.2 billion in the last 24 hours, suggesting the ETF flows are not merely rotating existing coins but drawing fresh capital. The seven-day gain of 21.9% marks the strongest weekly performance since the ETF launch period, and custody data shows the new units are being allocated to cold storage rather than held on exchange, a signal of longer-term intent. The weekly ETF flow report due Monday will be the first hard evidence of whether institutions treated the macro cluster as a buying opportunity or a reason to pause. A print above $200 million net would extend the streak; a negative or flat week would mark the first break since the run began. CoinGecko data shows traders are also tracking the 200-day moving average, now sitting near $76,800, which has acted as support on two intraday tests this week. A daily close below that level would shift the near-term bias from accumulation to distribution, regardless of the flow data.