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Cardano Fear & Greed Index Methodology

The Cardano Fear & Greed Index is a deterministic 0–100 market sentiment score built specifically for Cardano rather than borrowed from a general crypto index.

Generic crypto fear and greed indices are dominated by Bitcoin. They tell you little about ADA momentum, Cardano trading volume, Cardano DeFi activity or how Cardano native tokens are behaving. This index keeps the wider market in view while giving Cardano its own weighted layer.

The live score, history and component breakdown are on the Cardano Fear & Greed Index page. This page documents how it is calculated.

Built for Transparency

Cardano Smart AI built the Cardano Fear & Greed Index so the score itself can be understood and scrutinized. Its weighted layers, Cardano-specific components, missing-data behavior and methodology are published openly rather than hidden behind a black-box sentiment number.

Our goal was to build the first fully transparent Fear & Greed Index dedicated to a single blockchain ecosystem — Cardano.

Three Weighted Layers

  • 60% Crypto Market Sentiment — the wider crypto market mood
  • 20% Macroeconomic Environment — a risk gauge built on macro indicators
  • 20% Cardano-Specific Sentiment — a weighted Cardano sub-index

The visible component numbers add up exactly to the final score. If a layer's data is unavailable, the remaining layer weights are renormalized so the score still sums correctly — a missing component is never treated as a zero reading.

Cardano Sub-Index

The Cardano layer is itself weighted, and renormalized whenever a component is unavailable:

  • 40% ADA Momentum
  • 20% Trading Volume
  • 15% Volatility
  • 10% Token Market Momentum
  • 10% DeFi Activity
  • 5% Stablecoin & On-chain Activity

How the components are measured

ADA momentum and trading volume are read from verified market data. Volatility uses 30-day realized volatility of ADA/USD daily log returns, annualized, scored against absolute regime anchors rather than a rolling percentile. Token market momentum measures how Cardano native tokens are moving relative to ADA. DeFi activity uses Cardano DeFi TVL on a completed-day basis, and the on-chain component covers stablecoin liquidity and activity.

The macro layer scores its indicators against absolute regime anchors describing how supportive or restrictive conditions are for risk assets.

How We Validate the Index

Before a scoring change ships, the model is replayed against representative historical market regimes, reduced to their defining market and macro conditions. A change must produce a sentiment band consistent with that regime — otherwise it is rejected.

  • March 2020 COVID crash → Extreme Fear
  • 2021 bull-cycle top → Greed / Extreme Greed
  • 2022 bear-market bottom → Fear
  • January 2024 ETF rally → Greed
  • August 2024 carry-trade unwind → Fear
  • Range-bound baseline → Neutral

Safeguards

  • Scoring is deterministic and runs server-side — the AI can explain the result but never determines the numerical score
  • Scoring changes are checked against locked reference results, so scores cannot silently change
  • Missing inputs are handled through renormalization rather than being treated as a zero reading
Reconstructions, not backtests
These regime replays are deterministic reconstructions of the defining market and macro conditions of each period — not tick-by-tick price backtests and not predictions of future returns.

Determinism and Versioning

The engine is deterministic: the same inputs always produce the same score. Each stored snapshot records the model version that produced it, and stored history is never rewritten when the model changes. Comparable model versions share one continuous history series, so trend charts, yesterday's value and 7-day and 30-day averages remain honest across revisions.

Not a price prediction
The index describes measured market conditions. It is a sentiment reading, not a forecast or investment advice.

History and Trend

Scores are snapshotted on a schedule, which makes historical Fear & Greed and trend comparison possible.