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Liveliness Derivatives 30d

30-day rate of change of Liveliness. Negative derivative identifies accumulation regimes, positive derivative flags distribution pressure.

Tier proOn-chain Bitcoincointimelivelinessderivativeaccumulationdistribution

What is it?

Temporal derivative of Liveliness on a 30-day rolling window. Formula: L'₃₀ = Δ(mean₃₀(Liveliness)) / mean₃₀(Liveliness). Liveliness being defined as the ratio of Coindays Destroyed to Coindays Created (measure of on-chain activity intensity), its derivative captures the relative variation of this intensity. Positive derivative: accelerating activity (dominant distribution). Negative derivative: slowing activity (dominant accumulation).

How to read

Y-axis centered on zero. Historical ±σ bands delimit normal oscillations from statistical extremes. Clean positive derivative: distribution regime - mature holders release coindays, increasing relative activity. Clean negative derivative: accumulation regime - new holders and hodlers silently build coindays, slowing relative activity.

Key zones

Above +1σ historical: intense short-term distribution, reading to cross-check with price metrics to identify rally ends. Below -1σ historical: intense short-term accumulation, potential local-bottom indication. ±2σ extremes are rare and historically precede or accompany major reversals.

What to observe

Zero crossings mark regime shifts - particularly informative when synchronized with macro events (halvings, regulatory approvals, liquidity crises). Observe divergences between Liveliness derivative and price: a rising derivative while price falls marks silent distribution despite apparent correction; a frequent configuration at bear-market end when mature holders exit in late capitulation.

Historical context

The Liveliness derivative captures regime shifts since Liveliness is measurable (approximately post-2013, when cumulative coindays reach critical mass). Marked negative extremes at historical bottoms (late 2015, late 2018, March 2020, November 2022). Positive extremes at tops (late 2017, mid-2019, late 2021). The post-ETF 2024 cycle confirms these patterns despite the renewed liquidity regime.

Expert notes

The 30-day window is chosen to smooth daily oscillations without masking sub-monthly inflections. A shorter window (7-14 days) would overreact to punctual transaction-volume spikes; a longer one (60-90 days) would mask intra-cycle shifts. The Liveliness derivative is complementary to the AVIV ratio and its derivatives - it measures activity-change velocity, while AVIV measures cap composition.

Common mistakes to avoid

A positive Liveliness derivative does not automatically mean a sell indication - it indicates on-chain activity is relatively accelerating, which can reflect distribution, increased adoption, or portfolio rotation. Macro context (price state, cycle phase) determines the correct reading. Do not stack this reading with raw Liveliness as confirmation: the derivative is by construction orthogonal to the level, it brings independent information.

Programmatic access

REST API

curl -sS \
  'https://api.trinityinsights.io/api/v1/onchain/liveliness-derivatives-30d/history?days=90' \
  -H 'X-API-Key: $TRINITY_API_KEY'

MCP server

{
  "tool": "get_chart_value",
  "metric_id": "liveliness-derivatives-30d",
  "timeframe": "1y"
}

Required tier: pro. See the pricing grid for the tier list and the MCP documentation for multi-client configuration.

Related metrics

Institutional disclaimer

Trinity Insights is an educational and analytical tool. The metric above does not constitute investment advice. Trinity Insights is not a Crypto-Asset Service Provider (CASP) registered under MiCA Regulation (EU) 2023/1114. See the full disclaimer.