--- title: "Market Fear & Greed Composite: Formula" description: "A single score built by averaging several sentiment inputs, modelled on the CNN Fear and Greed Index, which combines seven indicators: price momentum, price..." canonical: https://www.getswoopr.com/indicators/sentiment/market-fear-and-greed-composite/ source: "Swoopr Investment: https://www.getswoopr.com" --- ## Direct Answer > A single score built by averaging several sentiment inputs, modelled on the CNN Fear and Greed Index, which combines seven indicators: price momentum, price strength, price breadth, put/call options, junk bond demand, market volatility and safe haven demand. Each is scaled to a 0 to 100 range. Low scores describe fear and high scores greed, with the middle of the range neutral. # Market Fear & Greed Composite: Formula, Meaning, Signals, Examples and How to Use It ## How Is Market Fear & Greed Composite Calculated? A single score built by averaging several sentiment inputs, modelled on the CNN Fear and Greed Index, which combines seven indicators: price momentum, price strength, price breadth, put/call options, junk bond demand, market volatility and safe haven demand. Each is scaled to a 0 to 100 range. **Formula:** `Composite = (sum of the scaled component readings) / number of components` **Inputs:** - Component sentiment readings - Scaling of each to a 0-100 range - Weights, equal in the CNN version **Worked example.** If the seven component readings are 62, 48, 55, 70, 41, 58 and 66, the equal-weighted composite is 57.1. The inputs are illustrative numbers, not market data. **Reading it.** Low scores describe fear and high scores greed, with the middle of the range neutral. Analysts use extremes as a contrarian cue, for instance fear as a sign of stretched selling, and watch how quickly the score moves. **Limits.** The score depends on how each input is scaled and weighted, which is a design choice and not a measurement. Several components are correlated, so the composite counts the same market move more than once. ## What is Market Fear & Greed Composite? A single score built by averaging several sentiment inputs, modelled on the CNN Fear and Greed Index, which combines seven indicators: price momentum, price strength, price breadth, put/call options, junk bond demand, market volatility and safe haven demand. Each is scaled to a 0 to 100 range. ## How to use Market Fear & Greed Composite Low scores describe fear and high scores greed, with the middle of the range neutral. Analysts use extremes as a contrarian cue, for instance fear as a sign of stretched selling, and watch how quickly the score moves. A reading alone is never a buy or sell signal; it needs context from price structure, volume, volatility and the broader market regime. ## Strengths - Rescaling every input to 0 to 100 puts quantities with different units, such as volatility and breadth, on one scale that can be averaged. - Equal weights make the arithmetic transparent: each component contributes the same share of the final score. - Reproducible when the formula and data convention are fixed. ## Weaknesses and limitations - Scaling ranges are fitted to past data, so a reading near 0 or 100 depends on the history used to set the range. - A sudden change in one component moves the whole score by a fixed share, even when the other inputs have not changed. - Correlated indicators can create false confidence by repeating the same underlying information. ## Editorial and risk note This page is educational content, not individualized investment advice. It should not imply guaranteed prediction, accuracy or outperformance. ## Frequently Asked Questions Is Market Fear & Greed Composite a buy or sell signal? No. Low scores describe fear and high scores greed, with the middle of the range neutral. The score depends on how each input is scaled and weighted, which is a design choice and not a measurement. A trade built on it still needs a trigger, an invalidation rule, a position size and realistic execution assumptions. What is the best setting for Market Fear & Greed Composite? Market Fear & Greed Composite is computed from component sentiment readings; scaling of each to a 0-100 range; weights, equal in the CNN version, so the choices that matter are the data convention and the window it is read over. Test those across instruments, regimes and out-of-sample periods instead of fitting one historical winner. Can Market Fear & Greed Composite be used by itself? The score depends on how each input is scaled and weighted, which is a design choice and not a measurement. Several components are correlated, so the composite counts the same market move more than once. For that reason it is read next to measures of direction, participation, valuation, liquidity and risk, not alone. Does Market Fear & Greed Composite work on every timeframe? The calculation (Composite = (sum of the scaled component readings) / number of components) can be run on any bar size, but behavior is not portable: a reading on a five-minute chart describes a very different market window from the same reading on a daily chart. Validate the exact timeframe before relying on it. Why does Market Fear & Greed Composite give false signals? Scaling ranges are fitted to past data, so a reading near 0 or 100 depends on the history used to set the range. A sudden change in one component moves the whole score by a fixed share, even when the other inputs have not changed. Lag, noise and regime changes add to this, because market participants react to new information after the reading is calculated. How should Market Fear & Greed Composite be backtested? Rebuild Market Fear & Greed Composite from component sentiment readings using point-in-time data, write the rules before testing, include delisted securities where relevant, model realistic fills and costs, reserve a validation sample and compare with a simpler baseline. S Swoopr Editorial Team The Swoopr Editorial Team produces independent investment education, research, and tools for understanding markets, evaluating opportunities, and managing risk. All content is educational only and does not constitute personalized investment advice. See our [editorial policy](https://www.getswoopr.com/legal/editorial-policy/) and [corrections policy](https://www.getswoopr.com/legal/corrections-policy/).