BTC Funding Turns Positive Near $64K as Bank Split on AI-Chip Trade Clouds Liquidity Outlook

Bitcoin printed $63,919.48 at 23:30 UTC, down 0.19% on the day, trading inside a $61,306.84–$64,700 range on $24.87 billion in 24-hour volume, per COINOTAG data. Perpetual futures skew shows longs at 59.1% versus shorts at 40.9%, with a funding rate of +0.0064% — longs are paying to hold positions, a mild but persistent bullish lean in derivatives flow.

Market-wide metrics stay cautious: the Fear and Greed Index sits at 27/100, BTC dominance is at 69.5%, and total crypto market cap holds at $1.85 trillion. RSI(14) reads 52.6, a neutral zone, while the pivot at $64,035.19 leaves resistance stacked at $64,091.83, $65,630.02 and $67,369.22 against support at $63,784.77, $61,905.10 and $57,800.19 — COINOTAG’s model currently flags the structure as trending down despite the flat spot price.

The liquidity trigger: two banks, one chip trade, opposite calls

The technical stall coincides with a direct split between JPMorgan and Morgan Stanley on AI semiconductor positioning — a divergence now feeding into cross-asset risk appetite, including crypto. JPMorgan frames the recent AI-chip selloff as a buying opportunity, citing demand for advanced chips that outpaces supply, with no meaningful new capacity expected before 2028. The bank favors chipmakers over hyperscale cloud names and is calling for global equities to hit fresh all-time highs in the second half of 2026.

Morgan Stanley CIO Michael Wilson takes the opposite side. He argues the semiconductor momentum that drove the 2026 rally is fading and that capital is rotating into laggard names. His team flags that chipmaker earnings estimates have been revised up so aggressively that expectations now sit at historic extremes — a setup that has previously preceded disappointment. Wilson’s call is to position for a leadership rotation, not to add to current winners. Both banks agree AI infrastructure spend is durable; the disagreement is entirely about sequencing and timing.

Capex versus share price: the divergence Wilson is trading

Wilson’s thesis rests on a widening gap between spend and price. Microsoft, Amazon, Meta and Alphabet are projected to push combined AI capex to $805 billion in 2026 and $1.116 trillion in 2027 — record levels. Yet their share prices have kept falling through that spending ramp, a signal Morgan Stanley reads as the market already pricing the AI buildout and now questioning near-term ROI on the infrastructure being deployed.

Wilson has also drawn a parallel to silver’s sharp 2026 rally, framing both moves as liquidity-driven rather than fundamentals-driven. Under that read, rallies built on abundant liquidity rather than earnings tend to reverse quickly once that liquidity tightens — a mechanism that extends beyond equities into small-cap semis and higher-beta altcoins.

For desks tracking BTC’s correlation to the AI-liquidity trade, the split is the variable to watch: a rotation out of crowded chip winners could redirect flow into digital assets, while a genuine liquidity contraction — Wilson’s base case — would likely pressure BTC in tandem with the semiconductor names it’s currently tracking.

Read more: Bitcoin Pinned Near $64K as Fear Index Hits 24, Dominance Climbs to 69.3%

Sources

• coinotag.com