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News articleYahoo Finance· February 16, 2026

Barry Silbert Forecasts Up To 10% Of Bitcoin's Market Cap Will Move To Privacy Coins—Crypto Mogul Says Zcash Can Rocket 500x, BTC Won't

View original at finance.yahoo.com
Barry Silbert Forecasts Up To 10% Of Bitcoin's Market Cap Will Move To Privacy Coins—Crypto Mogul Says Zcash Can Rocket 500x, BTC Won't Benzinga and Yahoo Finance LLC may earn commission or revenue on some items through the links below…
Opening lines of the source · Yahoo Finance · short snapshot — read the full document at the original

What we drew from this source

The claims Via News extracted from this document. We point to the source; we don't replace it.

  • Coins such as Zcash have 500x upside potential

    80% confidence
  • Privacy-focused cryptocurrencies are poised to become the next big investment opportunity in the cryptocurrency industry

    80% confidence
  • The recent cryptocurrency crash is a 'gift from the crypto gods' clearing out excess leverage and crap tokens, potentially paving the way for significant capital inflows

    80% confidence
  • Bitcoin lost the plot as an anonymous currency due to the rise of on-chain analytics firms

    80% confidence
  • Bitcoin will not soar 500 times unless the dollar crashes

    80% confidence
  • I am incredibly bullish about Bitcoin as a core part of a diversified portfolio

    80% confidence
  • Bitcoin is likely never going to have any privacy features

    80% confidence
  • I like to invest in projects that I think are transformative

    80% confidence
  • 5-10% of Bitcoin's market cap would rotate into privacy coins, including Zcash

    80% confidence

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Apple Inc.
The observation date (2025-12-27) precedes Q1 2026, making it logically impossible to have actual Q1 2026 cash data at that point. Q1 2026 would not end until March 31, 2026. Additionally, the magnitude of the difference ($45.3B vs $132.42) is implausibly large even as a normal quarterly change for Apple. While different fiscal periods can show different values, the timing relationship here suggests a data integrity issue rather than legitimate period-over-period variation.
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