Bitcoin’s derivatives market is flashing a familiar contrarian signal: funding rates are at their most negative levels since 2023 — a pattern that has often marked local bottoms in past selloffs, even as BTC pushes above $74–75k.
On a seven-day moving average, funding rates have slid to roughly -0.005%, Glassnode data shows. For readers new to the metric: funding rates are periodic payments that keep perpetual futures prices tethered to the spot market. Positive rates mean longs pay shorts (bullish skew); negative rates mean shorts pay longs (bearish skew). Deeply negative funding typically reflects crowded short positioning, which can set the stage for short squeezes when bearish bets unwind.
That dynamic is playing out now. Despite sustained negative funding through March and April, Bitcoin has marched upward from the low–mid $60,000s to the current ~$74k–75k range. The divergence — falling (negative) funding while price rises — is classic “climbing a wall of worry,” where pervasive bearish bets can fuel further upside if shorts rush to cover.
History supports the signal. Episodes of extreme negative funding have often aligned with local price troughs:
- March 2020 (COVID-19 crash): funding turned sharply negative as BTC plunged to around $3,000.
- Mid‑2021 (China mining crackdowns): negative funding accompanied the drop to ~$30,000.
- November 2022 (FTX collapse): funding was extreme while BTC bottomed near $15,000.
- 2023 (Silicon Valley Bank stress): negative funding coincided with a dip below $20,000.
- More recent events such as the August 2024 yen carry-trade unwind and the April 2025 “Liberation Day” selloff also saw negative funding line up with local lows.
The takeaway for traders and market watchers: persistent negative funding signals elevated bearish positioning even as prices climb. That crowded-short setup can act as fuel for more upside if a trigger forces rapid covering. As always, funding rates are one useful indicator among many — informative about market structure and sentiment, but not a standalone predictor.
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