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Building with sentiment? The whole index is just one call away. ⭐️ Fear-and-greed/historical returns the full series ⭐️ Every record carries a value and classification ⭐️ The endpoint is free on any plan Start building today
CoinMarketCap announced a free API endpoint for its fear-and-greed index, which measures market sentiment. The endpoint provides historical returns and classifies each record by value. It is available on any plan, allowing developers to integrate sentiment data into their applications.
Published:
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What happened
CoinMarketCap announced a free API endpoint for its fear-and-greed index, which measures market sentiment. The endpoint provides historical returns and classifies each record by value. It is available on any plan, allowing developers to integrate sentiment data into their applications.
Confirmed
Global impact / market context
This free access lets investors and developers easily track market mood, which can influence buying and selling decisions. By using sentiment data, they might better time their entries or exits, potentially improving returns. It also lowers barriers for building sentiment-based tools.
Analyst inference
Sentiment indicators like fear and greed are often used to gauge market extremes. High fear may signal oversold conditions, while high greed could indicate overbought markets. This data can help investors understand potential turning points, but it is not a guaranteed predictor of future price movements.
Analyst inference
What to watch
- The endpoint is free on any plan, so developers can start using it immediately. This means no cost barrier for accessing historical sentiment data and classifications. Confirmed
- Investors could watch for shifts in the fear-and-greed index to see if market sentiment is becoming more fearful or greedy, which might signal potential buying or selling opportunities. Proposed
- If many developers build tools using this data, sentiment analysis could become more common in trading strategies, potentially increasing market reactions to sentiment shifts. Analyst inference