What is driving it today
Pyth Network's CryptoKeyhole Fear & Greed reading of 51 is 1 point above neutral (50). Pushing it towards greed: funding rates (score 71, +4.5 points) and price momentum (score 59, +3.1 points). Pulling it towards fear: volatility (score 28, −4.7 points) and long/short ratio (score 16, −2.4 points). Strongest signal: volatility. 114% a year (30-day volatility of daily returns, annualised). Calm markets score towards greed, wild ones towards fear. By group: price action 47 (neutral) and derivatives positioning 55 (neutral).
| Component | Score | Leans to | Weight | Today's reading |
|---|---|---|---|---|
| Price momentum | 59 | Greed | 36% | Price −10.4% against its 30-day average and +1.5% against its 90-day average |
| Volatility | 28 | Fear | 21% | 114% a year (30-day volatility of daily returns, annualised) |
| Funding rates | 71 | Greed | 21% | +0.0078% per 8 hours (7-day mean of the median venue) |
| Taker flow | 50 | Neutral | 14% | Takers bought 49.0% of Binance volume over 7 days (spot and perpetuals) |
| Long/short ratio | 16 | Fear | 7% | 2.39 accounts long for every account short (7-day mean), on Bybit |
Not in this reading: open interest (we have no Bybit perpetual open-interest record for it); holder profit (no on-chain profit measure: we do not run this network's node); exchange flows (no on-chain exchange flows: we do not run this network's node); attention (not enough history yet: a component needs 365 days of readings in its last two years and this one has 60); options implied volatility (its options have no implied volatility index; Deribit publishes one for Bitcoin and Ether). Their weight is shared among the components above.
The component chart shows each component's score day by day; the market page compares every coin.
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The Pyth Network index over time
The Pyth Network index between two dates
By CryptoKeyhole's daily readings, from 10 November 2025 to today, the Pyth Network Fear & Greed Index went from 42 (fear) to 51 (neutral) so far, up 9 points. Its highest reading in that span was 88 (extreme greed) on 21 September 2026, and its lowest 18 (extreme fear) on 5 February 2026. It averaged 55 (neutral), with 12 days in extreme fear and 48 days in extreme greed.
- 10 Nov 2025 reading
- 42
- final · fear
- Today so far
- 51
- today · neutral
- Change
- +9
- points, 365 days
- Highest reading
- 88
- 21 Sep 2026 · extreme greed
- Lowest reading
- 18
- 5 Feb 2026 · extreme fear
- Average
- 55
- neutral
- Days in extreme fear
- 12
- of 365 days
- Days in extreme greed
- 48
- of 365 days
Each reading is one UTC day's value, labelled as our chart labels it (final); the highest and lowest are closed days only, never today so far.
Each span runs from the first reading of its first month to the last reading of its last, both months included. Choose one to see it in the picker above.
A year apart
| Span | First reading | Last reading | Change | Highest reading | Lowest reading | Average |
|---|---|---|---|---|---|---|
| November 2025 to November 2026 so far | 28 fear | 51 today | +23 | 88 21 Sep 2026 | 18 5 Feb 2026 | 54 neutral |
| October 2025 to October 2026 | 58 greed | 40 fear | −18 | 88 21 Sep 2026 | 15 16 Oct 2025 | 53 neutral |
| September 2025 to September 2026 | 45 neutral | 82 extreme greed | +37 | 88 21 Sep 2026 | 15 16 Oct 2025 | 51 neutral |
| August 2025 to August 2026 | 52 neutral | 81 extreme greed | +29 | 83 29 Aug 2026 | 15 16 Oct 2025 | 49 neutral |
| July 2025 to July 2026 | 45 neutral | 66 greed | +21 | 79 11 Jul 2026 | 15 16 Oct 2025 | 48 neutral |
| June 2025 to June 2026 | 29 fear | 54 neutral | +25 | 78 7 May 2026 | 15 16 Oct 2025 | 45 neutral |
| May 2025 to May 2026 | 45 neutral | 59 greed | +14 | 78 7 May 2026 | 15 16 Oct 2025 | 45 neutral |
| April 2025 to April 2026 | 30 fear | 54 neutral | +24 | 76 10 Apr 2026 | 15 16 Oct 2025 | 43 fear |
| March 2025 to March 2026 | 19 extreme fear | 52 neutral | +33 | 74 8 Oct 2025 | 9 13 Mar 2025 | 40 fear |
| February 2025 to February 2026 | 20 extreme fear | 31 fear | +11 | 74 8 Oct 2025 | 9 13 Mar 2025 | 39 fear |
Within a year
Between any two months of 2026
| From | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| January | −19 | −23 | −2 | 0 | +5 | 0 | +12 | +27 | +28 | −14 | −3 | |
| February | −2 | +19 | +21 | +26 | +21 | +33 | +48 | +49 | +7 | +18 | ||
| March | +23 | +25 | +30 | +25 | +37 | +52 | +53 | +11 | +22 | |||
| April | +7 | +12 | +7 | +19 | +34 | +35 | −7 | +4 | ||||
| May | +5 | 0 | +12 | +27 | +28 | −14 | −3 | |||||
| June | −7 | +5 | +20 | +21 | −21 | −10 | ||||||
| July | +13 | +28 | +29 | −13 | −2 | |||||||
| August | +18 | +19 | −23 | −12 | ||||||||
| September | +1 | −41 | −30 | |||||||||
| October | −38 | −27 | ||||||||||
| November | +10 |
Between any two months of 2025
| From | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| February | −1 | +3 | +25 | +9 | +28 | +33 | +27 | +30 | +5 | +3 | +29 | |
| March | +4 | +26 | +10 | +29 | +34 | +28 | +31 | +6 | +4 | +30 | ||
| April | +15 | −1 | +18 | +23 | +17 | +20 | −5 | −7 | +19 | |||
| May | −16 | +3 | +8 | +2 | +5 | −20 | −22 | +4 | ||||
| June | +19 | +24 | +18 | +21 | −4 | −6 | +20 | |||||
| July | +8 | +2 | +5 | −20 | −22 | +4 | ||||||
| August | −5 | −2 | −27 | −29 | −3 | |||||||
| September | +5 | −20 | −22 | +4 | ||||||||
| October | −33 | −35 | −9 | |||||||||
| November | −5 | +21 | ||||||||||
| December | +25 |
What followed fear and greed
By CryptoKeyhole's back-test of the Pyth Network Fear & Greed Index since 2025, after days of extreme fear, Pyth Network's price was higher 90 days later 8% of the time (median −32.7%), against 28% of all days (median −18.1%).
| Reading | Days | Median change after 30 days | Higher after 30 days | Median change after 90 days | Higher after 90 days | Median change after a year | Higher after a year |
|---|---|---|---|---|---|---|---|
| Extreme fear | 75 17 spells | −21.9% | 12% | −32.7% | 8% | −70.9% | 0% |
| Fear | 206 38 spells | −10.9% | 33% | −20.7% | 25% | −65.2% | 0% |
| Neutral | 127 36 spells | −4.4% | 46% | −16.4% | 23% | −67.6% | 0% |
| Greed | 158 30 spells | −0.5% | 50% | −5.4% | 45% | −62.8% | 0% |
| Extreme greed | 46 14 spells | +21.2% | 59% | +63.9% | 70% | – | – |
| All days | 612 | −8.5% | 39% | −18.1% | 28% | −66.6% | 0% |
Every closed day since 6 February 2025 counts once, by its zone. The market page sets out how the back-test is counted; past results are not a forecast.
How it works
Pyth Network's index is the weighted mean of its components today (price momentum, volatility, funding rates, taker flow, long/short ratio), each scored from 0 to 100 against its own past two years: below 25 is extreme fear, 25 to 44 fear, 45 to 55 neutral, 56 to 75 greed and above 75 extreme greed. The market page explains how each component is calculated, how to read the index and how it differs from other fear and greed indexes.
The last 30 days
| Day | Index | Zone | Change |
|---|---|---|---|
| 10 November 2026 (today so far) | 51 | Neutral | +2 |
| 9 November 2026 | 49 | Neutral | +7 |
| 8 November 2026 | 42 | Fear | −7 |
| 7 November 2026 | 49 | Neutral | −1 |
| 6 November 2026 | 50 | Neutral | +12 |
| 5 November 2026 | 38 | Fear | −5 |
| 4 November 2026 | 43 | Fear | +2 |
| 3 November 2026 | 41 | Fear | +3 |
| 2 November 2026 | 38 | Fear | −3 |
| 1 November 2026 | 41 | Fear | +1 |
| 31 October 2026 | 40 | Fear | 0 |
| 30 October 2026 | 40 | Fear | −5 |
| 29 October 2026 | 45 | Neutral | −14 |
| 28 October 2026 | 59 | Greed | +2 |
| 27 October 2026 | 57 | Greed | −1 |
| 26 October 2026 | 58 | Greed | +2 |
| 25 October 2026 | 56 | Greed | +5 |
| 24 October 2026 | 51 | Neutral | +2 |
| 23 October 2026 | 49 | Neutral | −1 |
| 22 October 2026 | 50 | Neutral | −12 |
| 21 October 2026 | 62 | Greed | −2 |
| 20 October 2026 | 64 | Greed | +2 |
| 19 October 2026 | 62 | Greed | −2 |
| 18 October 2026 | 64 | Greed | −4 |
| 17 October 2026 | 68 | Greed | −5 |
| 16 October 2026 | 73 | Greed | −4 |
| 15 October 2026 | 77 | Extreme greed | +3 |
| 14 October 2026 | 74 | Greed | +2 |
| 13 October 2026 | 72 | Greed | −4 |
| 12 October 2026 | 76 | Extreme greed | +4 |
What its history shows
- Over the past 12 months: high 88 (extreme greed) on 21 September 2026, low 18 (extreme fear) on 5 February 2026, average 55.
- Highest reading: 88 on 21 September 2026. Lowest: 9 on 13 March 2025.
- Across all 643 days since 6 February 2025: extreme fear 12% of days, fear 33%, neutral 21%, greed 27%, extreme greed 7%.
| Year | Average | Range | Days of extreme fear | Days of extreme greed | Days |
|---|---|---|---|---|---|
| 2026 | 58 | 18–88 | 2 | 48 | 314 |
| 2025 | 38 | 9–74 | 73 | 0 | 329 |
Pyth Network's longest run of extreme fear lasted 19 days, from 3 March 2025 to 21 March 2025, while its price went from $0.1831 to $0.1484; its last day of extreme fear was 11 February 2026. Pyth Network's longest run of extreme greed lasted 12 days, from 29 August 2026 to 9 September 2026, while its price went from $0.04825 to $0.05215; its last day of extreme greed was 15 October 2026.
The Pyth Network index by month
CryptoKeyhole's daily readings month by month (00:00 UTC days; the lowest and highest are the first day with that reading):
2026 by month
| Month | Average | Lowest | Highest | Days of extreme fear | Days of extreme greed | Days |
|---|---|---|---|---|---|---|
| November so far | 44 Fear | 38 2 Nov | 51 10 Nov | 0 | 0 | 10 |
| October | 66 Greed | 40 30 Oct | 80 2 Oct | 0 | 10 | 31 |
| September | 79 Extreme greed | 71 15 Sep | 88 21 Sep | 0 | 22 | 30 |
| August | 69 Greed | 56 3 Aug | 83 29 Aug | 0 | 7 | 31 |
| July | 68 Greed | 53 1 Jul | 79 11 Jul | 0 | 6 | 31 |
| June | 50 Neutral | 31 6 Jun | 61 1 Jun | 0 | 0 | 30 |
| May | 55 Neutral | 34 22 May | 78 7 May | 0 | 2 | 31 |
| April | 63 Greed | 47 1 Apr | 76 10 Apr | 0 | 1 | 30 |
| March | 43 Fear | 29 1 Mar | 54 17 Mar | 0 | 0 | 31 |
| February | 33 Fear | 18 5 Feb | 43 25 Feb | 2 | 0 | 28 |
| January | 53 Neutral | 35 31 Jan | 68 13 Jan | 0 | 0 | 31 |
2025 by month
| Month | Average | Lowest | Highest | Days of extreme fear | Days of extreme greed | Days |
|---|---|---|---|---|---|---|
| December | 42 Fear | 24 1 Dec | 54 28 Dec | 1 | 0 | 31 |
| November | 28 Fear | 18 3 Nov | 42 10 Nov | 13 | 0 | 30 |
| October | 36 Fear | 15 16 Oct | 74 8 Oct | 12 | 0 | 31 |
| September | 39 Fear | 28 25 Sep | 50 30 Sep | 0 | 0 | 30 |
| August | 54 Neutral | 47 5 Aug | 64 13 Aug | 0 | 0 | 31 |
| July | 57 Greed | 40 7 Jul | 71 17 Jul | 0 | 0 | 31 |
| June | 35 Fear | 18 5 Jun | 54 29 Jun | 2 | 0 | 30 |
| May | 42 Fear | 27 30 May | 51 8 May | 0 | 0 | 31 |
| April | 36 Fear | 20 7 Apr | 51 28 Apr | 4 | 0 | 30 |
| March | 22 Extreme fear | 9 13 Mar | 40 26 Mar | 22 | 0 | 31 |
| February | 22 Extreme fear | 16 8 Feb | 31 23 Feb | 19 | 0 | 23 |
Cite, download and reuse
Cite this reading
CryptoKeyhole Pyth Network Fear & Greed Index: 51 out of 100 (neutral) at 04:00 UTC on 10 November 2026. https://cryptokeyhole.com/fear-and-greed-index/pyth/
The readings and their history are free to reuse under CC BY 4.0, crediting CryptoKeyhole with a link to this page. The history is recalculated from our charts as they are published now, so a corrected input also corrects the days it touches.
Questions
What is the Pyth Network Fear and Greed Index?
A daily reading from 0 to 100 of how fearful or greedy the Pyth Network market is, calculated by CryptoKeyhole from PYTH's own price momentum, volatility, derivatives positioning, order flow and, where we have them, on-chain and attention data. Each part is ranked against its own past two years.
Is the Pyth Network market fearful or greedy today?
The reading at the top of this page answers it, with its zone. It updates every hour; today's value is a partial reading until the day closes at 00:00 UTC.
How is it different from the usual crypto fear and greed index?
It is calculated separately for each coin, from our own market and derivatives data rather than social media, and every component, weight and reading is published on the page.
Open the interactive chartComponent scoresEvery coin's indexCreate a free account
Readings on this page are calculated by CryptoKeyhole from its own price indexes of public exchange markets, its collection of the venues' public derivatives data and Wikimedia's public page views, and are refreshed every hour; the method section above gives each source.