Ethereum Funding Frenzy: Is a Bull Move or Looming Crash?

In a QuickTake post on the CryptoQuant platform, the analyst Amr Taha draws attention to a curious shift in ETH funding rates – a crude but telling barometer of the market’s mood in perpetual futures. The funding rate reveals whether the crowd is feeling buoyant or fearful.



![The study demonstrates a nuanced relationship between feature extraction (F), reliability (R), and operational toil (O) within a simplex, revealing that a Euclidean alarm can trigger even when the F/R ratio remains constant, while conversely, no alarm may sound despite an unsafe F/R ratio exceeding 1.5, indicating the limitations of a simple Euclidean threshold for accurately assessing system state when [latex] F = R [/latex] or [latex] F = 1.5R [/latex].](https://arxiv.org/html/2602.05483v1/x1.png)

![Electricity load forecasting performance-measured by metrics including mean squared error (MSE), spectral divergence, autocorrelation MSE, and maximum mean discrepancy-is evaluated across varying context lengths [latex] \ell [/latex], demonstrating the comparative efficacy of LISA, ALSA, and PTST models in predicting energy demand with established statistical rigor.](https://arxiv.org/html/2602.04906v1/figures/electricity_mse.png)