---
title: "AI Fear & Greed Index"
canonical: "https://supercyclehq.com/ai-fear-greed-index"
type: "index"
dataAsOf: "2026-11-02"
methodologyVersion: 1
license: "Free to use and quote with attribution to supercyclehq.com. Do not redistribute as a dataset."
disclaimer: "Informational only, not investment advice. The AI Exposure Score is Supercycle's editorial opinion. Agent portfolios are simulated paper portfolios run by AI."
---

# AI Fear & Greed Index

A daily 0-100 sentiment reading for AI stocks, overall and per buildout layer. 0 is extreme fear, 100 is extreme greed. Each component is a percentile against its own trailing history. A component shown as n/a was not measured that day; the composite is then renormalized over the measured components, never filled with a zero.

## Today

**11 (Extreme Fear)** on 2026-11-02, built on 5 of 5 signals across 514 stocks.

| Compared with | Score | Date |
| --- | --- | --- |
| Previous day | 10 | 2026-10-30 |
| Previous week | 15 | 2026-10-26 |
| Previous month | 36 | 2026-10-02 |

## Components

| Component | Score (0-100) | Raw measurement | Plain reading |
| --- | --- | --- | --- |
| Momentum | 1 | -0.0807 | The AI composite is 8% below its 125-day average. |
| Breadth | 9 | 0.291 | 29% of tracked stocks are above their own 50-day average. |
| 52-week position | 3 | -0.0996 | 10% more stocks sit near 52-week lows than near highs. |
| Volatility | 43 | 0.2147 | The composite is moving 21% annualized over the last 30 days. |
| Exposure tilt | 0 | -0.2173 | Peripheral names are beating pure plays by 22% over 20 days. |

## By buildout layer

| Layer | Score | Band | Signals used | Stocks |
| --- | --- | --- | --- | --- |
| [AI Healthcare](https://supercyclehq.com/category/ai-healthcare.md) | 47 | Neutral | 5/5 | 34 |
| [AI Applications](https://supercyclehq.com/category/ai-saas.md) | 45 | Neutral | 5/5 | 52 |
| [Cybersecurity AI](https://supercyclehq.com/category/cybersecurity-ai.md) | 40 | Fear | 4/5 | 25 |
| [Utilities & Grid](https://supercyclehq.com/category/utilities-grid.md) | 35 | Fear | 4/5 | 41 |
| [Defense & Aerospace AI](https://supercyclehq.com/category/defense-ai.md) | 27 | Fear | 5/5 | 44 |
| [AI Software & Platforms](https://supercyclehq.com/category/ai-software.md) | 24 | Extreme Fear | 5/5 | 36 |
| [Foundation Models](https://supercyclehq.com/category/foundation-models.md) | 23 | Extreme Fear | 5/5 | 19 |
| [Autonomous Vehicles](https://supercyclehq.com/category/autonomous-vehicles.md) | 22 | Extreme Fear | 5/5 | 39 |
| [Chip Equipment & Foundries](https://supercyclehq.com/category/chip-equipment.md) | 19 | Extreme Fear | 4/5 | 36 |
| [Semiconductors](https://supercyclehq.com/category/semiconductors.md) | 15 | Extreme Fear | 5/5 | 66 |
| [Cloud & Hyperscalers](https://supercyclehq.com/category/cloud-infrastructure.md) | 15 | Extreme Fear | 5/5 | 41 |
| [Neoclouds](https://supercyclehq.com/category/neoclouds.md) | 14 | Extreme Fear | 5/5 | 23 |
| [Power & Energy](https://supercyclehq.com/category/power-energy.md) | 13 | Extreme Fear | 5/5 | 62 |
| [Raw Materials & Mining](https://supercyclehq.com/category/raw-materials.md) | 11 | Extreme Fear | 4/5 | 37 |
| [Networking & Optics](https://supercyclehq.com/category/networking.md) | 10 | Extreme Fear | 5/5 | 24 |
| [Robotics & Automation](https://supercyclehq.com/category/robotics.md) | 8 | Extreme Fear | 5/5 | 43 |
| [Data Centers & Hardware](https://supercyclehq.com/category/data-centers.md) | 6 | Extreme Fear | 5/5 | 63 |

Layers without a reading today:

| Layer | Reason | Stocks tracked |
| --- | --- | --- |
| Memory & Storage | too-few-names | 9 |
| Cooling & Thermal | too-few-names | 10 |
| EMS & Manufacturing | too-few-names | 9 |
| Quantum Computing | too-few-names | 12 |
| AI Services | too-few-names | 10 |

## Last 30 readings

| Date | Score |
| --- | --- |
| 2026-11-02 | 11 |
| 2026-10-30 | 10 |
| 2026-10-29 | 20 |
| 2026-10-28 | 20 |
| 2026-10-27 | 20 |
| 2026-10-26 | 15 |
| 2026-10-23 | 13 |
| 2026-10-22 | 13 |
| 2026-10-21 | 17 |
| 2026-10-20 | 15 |
| 2026-10-19 | 15 |
| 2026-10-16 | 15 |
| 2026-10-15 | 20 |
| 2026-10-14 | 24 |
| 2026-10-13 | 34 |
| 2026-10-12 | 35 |
| 2026-10-09 | 35 |
| 2026-10-08 | 33 |
| 2026-10-07 | 37 |
| 2026-10-06 | 41 |
| 2026-10-05 | 38 |
| 2026-10-02 | 36 |
| 2026-10-01 | 35 |
| 2026-09-30 | 35 |
| 2026-09-29 | 33 |
| 2026-09-28 | 33 |
| 2026-09-25 | 34 |
| 2026-09-24 | 36 |
| 2026-09-23 | 37 |
| 2026-09-22 | 43 |

## Methodology

Methodology version 1. Components are equally weighted (momentum 0.2, breadth 0.2, highLow 0.2, volatility 0.2, tilt 0.2). Percentiles rank against a trailing window of up to 756 trading days. Volatility is inverted (high volatility reads as fear). Bands: 0-24 Extreme Fear, 25-44 Fear, 45-55 Neutral, 56-74 Greed, 75-100 Extreme Greed.

History starts 2023-10-27; first scored reading 2023-11-24.

---

Source: https://supercyclehq.com/ai-fear-greed-index. Data as of 2026-11-02. Prices are end-of-day closes, never live.

Informational only, not investment advice. The AI Exposure Score is Supercycle's editorial opinion. Agent portfolios are simulated paper portfolios run by AI.

Free to use and quote with attribution to supercyclehq.com. Do not redistribute as a dataset.