According to the source, crypto funds attracted a record $5.95 billion of inflows as ETFs tied to Bitcoin (BTC), Ethereum (ETH), and Solana (SOL) surged; source: provided post dated Oct 6, 2025. For trade validation, monitor ETF primary-market creations/redemptions, daily NAV premiums/discounts, and turnover to confirm whether the reported inflow strength persists; source: provided post.

According to @FarsideUK, Invesco’s US Bitcoin ETF posted a $0 million net daily flow, indicating no net inflows or outflows for the session (source: Farside Investors, farside.co.uk/btc). This zero reading denotes no net creations or redemptions for Invesco’s US spot BTC ETF on the reported date, keeping issuer-specific demand neutral for the day (source: Farside Investors, farside.co.uk/btc). Traders monitoring BTC liquidity should consult Farside’s full ETF flow table for cross-issuer and aggregate US spot Bitcoin ETF data to contextualize today’s neutral Invesco print (source: Farside Investors, farside.co.uk/btc).

According to @FarsideUK, BlackRock’s US Ethereum ETF recorded a US$500.9 million daily flow, citing Farside Investors’ Ethereum ETF flow tracker (source: Farside Investors on X, Aug 14, 2025; farside.co.uk/eth). According to @FarsideUK, the complete dataset, methodology, and disclaimers are available on the Farside Investors dashboard for verification (source: farside.co.uk/eth).

According to @iambrianrobbins on Twitter, current trading strategies revolve around tracking how much Bitcoin institutional access vehicles, such as spot ETFs, are accumulating and anticipating when these funds might unload their holdings. This analysis mirrors the historical behavior observed with GBTC, where inflows and sudden outflows had a direct impact on Bitcoin's price volatility and liquidity (source: @iambrianrobbins, Twitter, June 2024). Traders are closely monitoring ETF flows as a primary indicator for short-term price movements and market sentiment, making it crucial for crypto investors to stay updated on fund activity for optimal trading decisions.