Social (behaviour) trends

as a part of our current TAO short position

We take it from Hyperliquid, to check the swings in the crowd mood there

Tracks Active Addresses (1‑hour sliding window) and Transaction Volume for BTC, ETH, SOL, AAVE, and UNI to identify behavioral spikes and declines. Measures: Active Addresses (unique sending/receiving addresses per 1‑hour sliding window) and Transaction Volume (total on‑chain value transferred). Reflects: Network activity intensity, capital flow, and shifts between expansion and contraction phases. Interpretation: ↑ Active Addresses / ↑ Transaction Volume → rising participation and capital inflow ↓ Active Addresses / ↓ Transaction Volume → declining activity and reduced on‑chain engagement Context: Commonly analyzed alongside price trends to assess whether network activity confirms or diverges from market moves.

Displays multiple funding rates for a selected asset, updating dynamically when the asset is changed. Measures: Funding Rates across exchanges — periodic payments between long and short traders in perpetual futures for the chosen asset. Reflects: Leverage demand and directional sentiment across derivatives venues. Interpretation: ↑ Funding Rates → dominant long positioning, bullish bias · ↓ Funding Rates → stronger short positioning, bearish lean Context: Commonly analyzed alongside open interest to assess crowded positioning.

Combining the most relevant crowd sentiment metrics on one chart layout. Pay attention to the funding rates!

The set of some of the major metrics

Trying to find a pattern of price differences between ETH and stETH

We’ll keep this update brief. As you may have seen on our social channels, we’ve recently rolled out our initial set of on-chain metrics for...