News

BlackRock Bitcoin ETF Surpasses Rivals as This Crucial Metric Hits New Record

Senior ETF analyst for Bloomberg Eric Balchunas has spread the word about the largest spot Bitcoin ETF – BlackRock’s IBIT – surpassing its rival ETFs not only by the amount of Bitcoin held but also by another important metric. This one has skyrocketed, according to a recent tweet published by Balchunas.

The analyst’s post reveals that a surprising 414 reported holders in the fund’s first 13F season have been reported. This is a “mind boggling” figure for this metric, the analyst admitted, adding that it “blows away [the] record.”

Balchunas then clarified that even if a newly born ETF gets 20 holders, that is already a big deal very rare.

The analyst provided an infographic to show how far behind some of the other largest spot Bitcoin ETFs stand behind BlackRock. Bitwise’s BITB boasts around 100 reported holders, Fidelity’s FBTC has slightly under 250 and Ark Invest has less than 100.

$IBIT ended up with 414 reported holders in its first 13F season, which is mind boggling, blows away record. Even having 20 holders as a newborn is bfd, highly rare. Here’s a look at how the btc ETFs compare to other ETFs launched in Jan (aka the Class of 2024) in this metric. pic.twitter.com/ngicEdbaTq

— Eric Balchunas (@EricBalchunas) May 16, 2024

In the meantime, BlackRock’s ETF keeps seeing zero inflows for the third consecutive day. The other nine spot ETFs have seen positive inflows over the past three days, scooping up $303 million worth of Bitcoin on May 15, according to data shared by the @spotonchain analytics account.

🚨 $BTC #ETF Net Inflow May 15, 2024: +$303M!

• The net inflow has been positive for 3 trading days.

• 9 out of the 10 US Bitcoin ETFs, including #Grayscale, experienced single-day inflows.

• The #BlackRock BTC ETF continues to have zero flow for the third day in a row.… pic.twitter.com/7yKB85CEcM

— Spot On Chain (@spotonchain) May 16, 2024

SOURCE

Leave a Comment

data data data data data data data data data data data data data data data data data data data data data data data data data data data data data data data data data data data data data data data

link link link link link