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US Leveraged and Inverse ETF Trading Hits Record $90 Billion, Options Volume Reaches 107 Million

businessstocks 4 posts · 2 accounts

Activity in leveraged funds and derivatives has climbed to unusually high levels in US markets. Total options volume reached 107 million contracts on Friday, the second-highest reading on record, including 57.2 million calls and 49.8 million puts. On Tuesday, notional trading across US-listed leveraged and inverse ETFs hit a record $90 billion, roughly half the assets under management in the category. The 3x inverse semiconductor ETF SOXS traded more than 1.3 billion shares, the third-largest single-session volume ever for a US-listed ETF.

The figures also point to broad household and retail participation in equities. Retail investors account for 20% of US stock trading, while American households hold about 48% of their financial assets in stocks, a record and roughly 10 percentage points above the 2000 dot-com peak. Those readings come as US stock market valuations stand at their highest level since the internet-boom peak.

From the sources (4 posts)

@globalmktobserv

⚠️US households are ALL-IN on US equities: American households now hold a record ~48% of their financial assets in stocks. This exceeds the 2000 Dot-Com Bubble peak by 10 percentage points. This is all unfolding at a time when US stock m

@globalmktobserv

🚨THIS IS ABSOLUTELY INSANE: The total notional trading volume across US-listed leveraged and inverse ETFs hit a record $90 BILLION on Tuesday. To put this into perspective, this is ~50% of all assets under management (AUM) across the enti

@kalshi

JUST IN: Retail investors now account for 20% of US stock trading

@globalmktobserv

🔴US total options volume spiked to 107 MILLION contracts on Friday, the 2nd-highest volume EVER. 53%, or 57.2 million, were call options, the 3rd-highest ever. 49.8 million, were put options, the 2nd-highest ever. TAP IMAGE TO SEE FULL I

Preview built on a synthetic news corpus (16 weeks, Apr–Jul 2026). Impact calls are model reads, not price data.

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