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Bitcoin and Ethereum ETFs Record Largest Weekly Inflows Ever in July 2026

Spot crypto ETFs attracted over $4.2 billion in net inflows during a single week in July 2026 as pension funds and sovereign wealth funds began allocating to digital assets for the first time.

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Bitcoin and Ethereum ETFs Record Largest Weekly Inflows Ever in July 2026 chart

Overview

What is Bitcoin and Ethereum ETFs Record Largest Weekly Inflows Ever in July 2026?

The week of July 14–18, 2026 entered the history books of the cryptocurrency market when spot Bitcoin and Ethereum exchange-traded funds collectively attracted $4.2 billion in net inflows β€” the largest weekly inflow total since the Bitcoin spot ETF approval in January 2024 and significantly above the previous weekly record of $2.7 billion set in March 2025. The milestone reflected a qualitative shift in the types of institutions allocating capital to crypto: for the first time, multiple pension funds and sovereign wealth funds publicly disclosed cryptocurrency ETF positions in regulatory filings.

The BlackRock iShares Bitcoin Trust (IBIT) led all products with $1.68 billion in inflows during the week β€” its second-largest weekly total ever. The Fidelity Wise Origin Bitcoin Fund (FBTC) attracted $820 million, while the ARK 21Shares Bitcoin ETF (ARKB) saw $340 million in new subscriptions. Total assets under management across all spot Bitcoin ETFs surpassed $145 billion for the first time, representing approximately 6.8% of Bitcoin's total market capitalisation β€” a level that market participants increasingly view as a structural price support mechanism.

The week's most striking development, however, was the disclosure by two European pension funds β€” a Dutch public sector pension with €320 billion in AUM and a Norwegian county pension fund β€” of direct allocations to Bitcoin ETFs. These were the first confirmed pension fund allocations to spot cryptocurrency ETFs from European institutional investors and represented a significant shift from the previous stance of most continental European pension schemes, which had cited regulatory uncertainty as a barrier to crypto allocation.

A sovereign wealth fund from the Gulf Cooperation Council region also disclosed a Bitcoin ETF position for the first time in a filing with the SEC during the week. While the disclosed position was modest at $180 million β€” a rounding error relative to the fund's total assets β€” the disclosure was symbolically significant as an indication that state-owned investors were beginning to view Bitcoin as a legitimate reserve asset alongside gold, sovereign bonds, and listed equities.

Ethereum ETFs also participated in the record week, though at a lower scale than Bitcoin products. The iShares Ethereum Trust and Fidelity Ethereum Fund collectively attracted $650 million in net inflows during the week, with analysts attributing the strong demand to Ethereum's improving staking yield story following the SEC's approval of in-kind redemption structures that allow ETF investors to benefit from protocol staking rewards.

The inflow surge had a direct and immediate impact on crypto prices. Bitcoin rose 8.3% during the record inflow week, while Ethereum gained 11.4% as the smaller Ethereum ETF market experienced a proportionally larger capital impact. The BTC/ETH ratio fell during the week as Ethereum outperformed on the flow data, continuing a trend that had been in place since the ETH ETF staking approval earlier in the month.

Secondary effects were visible across the crypto ecosystem. The sustained institutional demand for Bitcoin through ETF structures has effectively removed large quantities of BTC from active circulation β€” "paper hands" supply has been replaced by long-term institutional holdings that are unlikely to be sold for short-term price movements. On-chain analysts estimated that ETF holdings now represent approximately 7.4% of Bitcoin's circulating supply, creating a structural demand floor that previous market cycles never had.

For crypto traders and automated strategies, the record ETF inflows underscored the increasing importance of monitoring institutional flow data as a leading indicator. ETF inflow trends have shown a statistically significant positive correlation with 7-day and 30-day Bitcoin price performance since the products launched, making them a valuable input for momentum and trend-following strategies.

How It Works in auto-Trading

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auto-Trading's strategy engine can incorporate ETF flow data as a signal input for crypto momentum strategies. When weekly net inflows across major Bitcoin or Ethereum ETFs are positive and accelerating β€” as they were in the record week of July 14–18, 2026 β€” trend-following bots can increase their long exposure, while mean-reversion strategies can be configured to stand aside during periods of sustained institutional buying pressure. The platform's risk engine automatically adjusts position sizes to account for the higher volatility environment that typically accompanies large institutional inflow periods.

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Strategy Code

Pick a script below, copy it, and use it on your chart.

Pine Script (TradingView)

This is a TradingView Pine Script strategy example for this page concept. Paste it into the TradingView Pine Editor, add it to your chart, and run it in the Strategy Tester.

//@version=6
strategy("Bitcoin and Ethereum ETFs Record Largest Weekly Inflows Ever in July 2026", overlay=true)
momLen  = input.int(10,  "Momentum Length")
trendLen = input.int(50, "Trend EMA")
rsiLen  = input.int(14,  "RSI Length")
mom    = close - close[momLen]
ema50  = ta.ema(close, trendLen)
r      = ta.rsi(close, rsiLen)
// Buy when momentum is positive, price above trend EMA, RSI not overbought
longSignal  = mom > 0 and close > ema50 and r > 50 and r < 70
exitSignal  = mom < 0 or close < ema50
if longSignal
    strategy.entry("Mom", strategy.long)
if exitSignal
    strategy.close("Mom")
plot(ema50, "Trend EMA", color=color.orange)

ThinkScript (thinkorswim)

This is a thinkorswim ThinkScript strategy example for this page concept. Open thinkorswim, create a custom strategy, paste the script, and apply it to your chart.

input length = 10;
def mom = Momentum(length = length);
def trend = ExpAverage(close, 50);
def buySignal = mom > 0 and close > trend;
def sellSignal = mom < 0 or close < trend;
AddOrder(OrderType.BUY_AUTO, buySignal, close, 1, Color.GREEN, Color.GREEN, "Momentum Buy");
AddOrder(OrderType.SELL_AUTO, sellSignal, close, 1, Color.RED, Color.RED, "Momentum Exit");
plot Mom = mom;
Mom.SetDefaultColor(Color.CYAN);

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