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Crypto Fear & Greed Index Calculator

What is Crypto Fear & Greed Index Calculator?

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क्रिप्टो फिअर अँड ग्रीड इंडेक्स कॅल्क्युलेटर 0 (अत्यंत भय) ते 100 (अत्यंत लोभ) भारित इनपुट वापरून एकत्रित भावना स्कोअरची गणना करते ज्यात बाजारातील अस्थिरता, व्यापाराची गती, सोशल मीडिया भावना, बिटकॉइनचे वर्चस्व, Google Trends शोध खंड आणि सर्वेक्षण डेटा यांचा समावेश होतो. हा निर्देशांक क्रिप्टोकरन्सी मार्केटच्या भावनिक स्थितीला एकाच संख्येत डिस्टिल करतो, एक विरोधाभासी निर्देशक म्हणून काम करतो: अत्यंत भीती अनेकदा खरेदीच्या संधींना सूचित करते, तर अत्यंत लोभ अनेकदा सुधारणांपूर्वी असतो. हा निर्देशांक पारंपारिक स्टॉक मार्केटसाठी CNN फिअर आणि ग्रीड इंडेक्स द्वारे प्रेरित आहे परंतु क्रिप्टो मार्केट्सच्या अनन्य वैशिष्ट्यांसाठी अनुकूल आहे, जिथे भावना अधिक तीव्र असतात आणि किरकोळ सहभाग जास्त असतो. क्रिप्टो मार्केट विशेषतः भावना-चालित आहे कारण अनेक मालमत्तेमध्ये पारंपारिक मूल्यांकन मेट्रिक्स (कमाई, लाभांश, पुस्तक मूल्य) नसतात, ज्यामुळे किमतीच्या हालचाली मूलभूत गोष्टींऐवजी कथा आणि भावनांवर मोठ्या प्रमाणात अवलंबून असतात. कॅल्क्युलेटर निर्देशांकाला त्याच्या सहा घटक स्कोअरमध्ये डीकंस्ट्रक्ट करतो, ज्यामुळे तुम्हाला एकूण भावना निर्माण करणारे घटक कोणते घटक आहेत हे पाहू शकतात. किमतीत तीव्र घसरण होत असताना, अस्थिरता घटक अत्यंत भीती वाचू शकतो तर सोशल मीडिया भावना तटस्थ राहते, हे सूचित करते की भीती कथा-चालित ऐवजी किंमत-चालित आहे. याउलट, सट्टेबाजीच्या उन्मादात, सोशल मीडिया आणि Google Trends अस्थिरता कमी असताना अत्यंत लोभ दर्शवू शकतात, जे आत्मसंतुष्टतेचे संकेत देतात. ऐतिहासिक विश्लेषण दर्शविते की निर्देशांक अत्यंत विश्वासार्ह विरोधाभासी संकेत आहे. ज्या कालावधीत दोन आठवड्यांपेक्षा जास्त काळ निर्देशांक 20 च्या खाली राहिला (अत्यंत भीती) पुढील 6 महिन्यांत 40-80% च्या सरासरी परतावा आधी आहे. ज्या कालावधीत निर्देशांक दोन आठवड्यांपेक्षा जास्त काळ 80 च्या वर (अत्यंत लोभ) राहिला, त्यापूर्वी सरासरी 20-40% ची घट झाली आहे. कॅल्क्युलेटर गुंतवणुकीच्या वेळेचे निर्णय कळविण्यात मदत करण्यासाठी वर्तमान वाचनासोबत हा ऐतिहासिक संदर्भ प्रदान करतो.

Calkulon makes complex calculations simple — built for students and everyday problem-solvers.

सूत्र

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f(x)भीती आणि लोभ निर्देशांक = (अस्थिरता स्कोअर x 25%) + (मोमेंटम स्कोअर x 25%) + (सोशल मीडिया स्कोअर x 15%) + (BTC वर्चस्व स्कोर x 10%) + (Google ट्रेंड स्कोअर x 10%) + (सर्वेक्षण स्कोअर x 15%) अस्थिरता स्कोअर = 100 - सामान्यीकरण (वर्तमान 30d अस्थिरता / सरासरी 90d अस्थिरता) मोमेंटम स्कोअर = सामान्यीकरण (वर्तमान किंमत / 30d SMA आणि खंड / 30d सरासरी खंड) सामाजिक स्कोअर = सामान्यीकरण (भारित सोशल मीडिया उल्लेख आणि भावना) वर्चस्व स्कोअर = 100 - सामान्यीकरण (BTC.D 30 दिवसांमध्ये बदल) ट्रेंड स्कोअर = सामान्यीकरण (बिटकॉइनसाठी Google शोध खंड) कार्य केलेले उदाहरण: अस्थिरता स्कोअर: 35 (मध्यम भीतीदायक, सरासरीपेक्षा जास्त अस्थिरता). गती: 55 (तटस्थ, 30-दिवसांच्या सरासरीच्या जवळ किंमत). सामाजिक: 40 (किंचित मंदीची भावना). वर्चस्व: 60 (BTC वर्चस्व वाढणे = जोखीम-बंद). ट्रेंड: 45 (मध्यम शोध स्वारस्य). सर्वेक्षण: 50 (तटस्थ). अनुक्रमणिका = (35 x 0.25) + (55 x 0.25) + (40 x 0.15) + (60 x 0.10) + (45 x 0.10) + (50 x 0.15) = 8.75 + 13.75 + 6.0 + 6.0 + 4.5 (4.5 कान = 4.5) +

Variable Legend

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प्रतीकनावएककवर्णन
FGIFear and Greed Indexscore (0-100)The composite sentiment score where 0 is maximum fear and 100 is maximum greed
VVolatility Scorescore (0-100)The normalized measure of current market volatility relative to historical average
MMomentum Scorescore (0-100)The normalized measure of price and volume trend strength
SSocial Scorescore (0-100)The normalized sentiment analysis from social media platforms weighted by engagement
DBTC Dominance Scorescore (0-100)The sentiment proxy based on Bitcoin market cap share changes (rising dominance = fear)
TGoogle Trends Scorescore (0-100)The normalized search volume interest for Bitcoin-related terms

How to Crypto Fear & Greed Index Calculator

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  1. 1पायरी 1 - अस्थिरता घटक (25% वजन) सध्याच्या बिटकॉइनच्या किंमतीतील अस्थिरतेच्या अलीकडील सरासरीच्या तुलनेत मोजतो. जेव्हा 30-दिवसांची अस्थिरता 90-दिवसांच्या सरासरीपेक्षा लक्षणीयरीत्या ओलांडते, तेव्हा बाजारपेठ भयभीत असते (तीक्ष्ण किमतीतील चढ-उतार घाबरण्याचे संकेत देतात). सरासरीच्या तुलनेत कमी अस्थिरता आत्मसंतुष्टता किंवा लोभ सूचित करते. स्कोअर 0-100 पर्यंत सामान्य केला जातो, जेथे 0 कमाल भीती (अत्यंत अस्थिरता) आणि 100 कमाल लोभ (असामान्यपणे शांत बाजार) आहे.
  2. 2पायरी 2 - बाजार गती घटक (25% वजन) किंमत आणि खंड ट्रेंडचे मूल्यांकन करते. जर बिटकॉइनची किंमत ३० दिवसांच्या साध्या मूव्हिंग ॲव्हरेज (SMA) च्या वर असेल आणि ट्रेडिंग व्हॉल्यूम वाढत असेल, तर भावना लोभी असेल (खरेदीदार वर्चस्व गाजवतात). घटत्या व्हॉल्यूमसह किंमत SMA च्या खाली असल्यास, भावना भीतीदायक आहे. हा घटक दिशात्मक विश्वास मोजण्यासाठी मोठ्या एक्सचेंजेसवर व्हॉल्यूम विरुद्ध विक्री व्हॉल्यूम खरेदीकडे देखील पाहतो.
  3. 3पायरी 3 - सोशल मीडिया घटक (15% वजन) Twitter/X, Reddit, Telegram आणि Discord मधील क्रिप्टोकरन्सी चर्चांचे प्रमाण आणि भावनांचे विश्लेषण करते. नैसर्गिक भाषा प्रक्रिया अल्गोरिदम पोस्टचे वर्गीकरण तेजी, मंदी किंवा तटस्थ म्हणून करतात. स्कोअरमध्ये उल्लेखांची मात्रा (मॅनियास दरम्यान उच्च क्रियाकलाप) आणि भावना प्रमाण (सकारात्मक विरुद्ध नकारात्मक पोस्टची टक्केवारी) दोन्ही विचारात घेतले जातात. पीक लोभ दरम्यान, Twitter वर क्रिप्टो उल्लेख 10x सामान्य पातळी ओलांडू शकतात.
  4. 4Step 4 - The Bitcoin dominance component (10% weight) measures the change in Bitcoin market cap share relative to the total crypto market. Rising BTC dominance typically indicates risk-off behavior (investors moving from altcoins to Bitcoin for safety), which correlates with fear. Falling BTC dominance suggests risk-on behavior (investors rotating into speculative altcoins), which correlates with greed.
  5. 5Step 5 - The Google Trends component (10% weight) tracks search volume for Bitcoin-related terms. Spikes in searches for buy Bitcoin indicate retail FOMO (greed), while searches for Bitcoin crash or crypto scam indicate fear. The absolute search volume is normalized against recent history to account for the secular decline in Bitcoin search interest as it becomes more mainstream.
  6. 6Step 6 - The survey component (15% weight) aggregates data from crypto polling platforms and prediction markets. Some implementations use StrawPoll weekly surveys of crypto participants, while others use prediction market data from Polymarket or Kalshi as a proxy for market expectations. This component captures the explicit sentiment that market participants are willing to state.
  7. 7Step 7 - All six components are weighted and summed to produce the final index value from 0 to 100. The calculator displays: the overall index value and label (Extreme Fear 0-24, Fear 25-49, Neutral 50, Greed 51-74, Extreme Greed 75-100), each component score, a historical chart showing the index over time with price overlay, the current percentile rank versus the past year, and the historical return statistics for the current sentiment zone.

Worked Examples

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Example 1Extreme Fear During Market Crash
Given:BTC dropped 25% in one week. 30d volatility: 95% annualized (vs 60% average). Price below 30d SMA by 20%. Social sentiment: 70% bearish. BTC dominance rising 5%. Google Trends: Bitcoin crash surging.
परिणाम:Index: 12 (Extreme Fear). Volatility: 8. Momentum: 15. Social: 18. Dominance: 25. Trends: 10. Survey: 15.

All six components converge on extreme fear. This reading of 12 has historically occurred only during major market events (COVID crash March 2020 at index 8, FTX collapse November 2022 at index 10, China mining ban June 2021 at index 11). Each of these extreme fear episodes preceded 100%+ recoveries within 12 months. The calculator flags this as a historically rare contrarian buy signal.

Example 2Extreme Greed During Parabolic Rally
Given:BTC up 40% in 30 days. Volatility low relative to upside. Price 30% above 30d SMA. Social media euphoria: 85% bullish. BTC dominance falling (altcoin rotation). Google Trends for buy Bitcoin at 12-month high.
परिणाम:Index: 88 (Extreme Greed). Volatility: 75. Momentum: 95. Social: 92. Dominance: 85. Trends: 90. Survey: 82.

Extreme greed readings above 85 have historically been followed by corrections of 15-30% within 1-3 months. The 2021 peak reached index 95 in November before Bitcoin fell 55% over the next two months. However, extreme greed can persist for weeks during strong rallies, so it is not a precise timing tool. The calculator recommends reducing position sizes and setting stop losses rather than outright selling.

Example 3Neutral Market with Divergent Components
Given:BTC price flat over 30 days. Volatility: normal. Social media: very bullish (80%). BTC dominance: stable. Google Trends: declining. Survey: mixed.
परिणाम:Index: 52 (Neutral). Volatility: 50. Momentum: 48. Social: 78. Dominance: 50. Trends: 35. Survey: 45.

The overall index is neutral but component analysis reveals tension. Social media is very bullish while Google Trends is declining and surveys are pessimistic. This divergence suggests that active crypto participants are bullish but the broader public is disengaged. Such divergences often resolve with a decisive move in either direction within 2-4 weeks.

Real-World Applications

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🏗️

Quantitative crypto hedge funds incorporate the Fear and Greed Index as one input in multi-factor trading models. Research by firms like Pantera Capital and Galaxy Digital has shown that adding a sentiment factor to purely technical models improves risk-adjusted returns by 10-20% annually. The index is typically used as a position sizing signal: full-size positions during extreme fear, reduced positions during extreme greed, with the transition zone triggering gradual scaling.

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Retail investors use the index as an emotional discipline tool. The psychological challenge of crypto investing is that extreme fear feels like the worst time to buy, and extreme greed feels like the best time to buy, when the opposite is statistically true. By checking the index before making trading decisions, investors can override their emotional impulses. Several popular DCA apps (Swan Bitcoin, River) have integrated the index to automatically increase purchase amounts during fear and decrease during greed.

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Crypto media companies and newsletters use the index as a daily headline metric. Publications like CoinDesk, The Block, and Decrypt reference the Fear and Greed Index regularly because it provides a simple, digestible market summary that drives reader engagement. The index landing on extreme values (below 10 or above 90) often becomes a viral social media event, generating significant traffic and discussion.

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Risk management teams at crypto exchanges and lending platforms monitor the index to adjust margin requirements and risk parameters. When the index hits extreme greed (above 80), the probability of a sharp correction increases, and exchanges may proactively reduce maximum leverage, increase margin requirements, or tighten liquidation thresholds. During extreme fear, they may ease requirements to prevent unnecessary cascade liquidations that would further destabilize the market.

Special Cases

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During the March 2020 COVID crash, the crypto Fear and Greed Index hit an

During the March 2020 COVID crash, the crypto Fear and Greed Index hit an all-time low of 8 on March 13, the same day Bitcoin crashed 50% from 8000 to 3800 dollars in a single day. This was the most extreme fear reading ever recorded. Investors who bought at this extreme would have seen a 1700% return to the November 2021 peak. However, the speed of the crash (50% in one day) made it psychologically nearly impossible to buy, illustrating the fundamental challenge of contrarian investing: the best opportunities feel the worst. The index behavior during the 2021 bull market revealed an important pattern: extreme greed can persist for extended periods during parabolic rallies. The index remained above 75 for over 45 consecutive days in early 2021, during which Bitcoin rose from 30000 to 60000 dollars. Selling at the first extreme greed signal would have missed the best part of the rally. This illustrates that extreme greed is a better signal for reducing position size than for exiting entirely. The calculator tracks the duration of extreme readings and shows that returns diminish as extreme greed persists beyond 30 days. A unique phenomenon occurs when the index shows extreme fear while on-chain metrics show accumulation by long-term holders (often called smart money). This divergence, where retail is panicking but institutional and long-term investors are quietly buying, has historically been the strongest bullish signal available. The calculator cross-references the Fear and Greed Index with publicly available on-chain accumulation data to identify these smart money divergence events, which occur approximately 2-3 times per major cycle.

Fear and Greed Index Historical Returns by Zone (2018-2024)

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Index Zoneश्रेणीAvg Days Per YearAvg 30d Forward ReturnAvg 90d Forward ReturnAvg 180d Forward Return
Extreme Fear0-2455-70 days+12%+28%+52%
Fear25-49100-130 days+5%+14%+25%
Neutral5015-25 days+2%+8%+15%
Greed51-7480-100 days-1%+3%+8%
Extreme Greed75-10040-60 days-5%-8%-2%

Frequently Asked Questions

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Q

What does extreme fear mean and should I buy?

A

Extreme fear (index below 25) means the market is dominated by panic selling, high volatility, and negative sentiment. Historically, buying during extreme fear and holding for 6-12 months has produced positive returns about 85% of the time with an average gain of 50-80%. However, extreme fear can intensify before reversing, so dollar-cost-averaging during fear periods is safer than making a single large purchase.

Q

How often does the index reach extreme values?

A

Extreme fear (below 25) occurs approximately 15-20% of the time, while extreme greed (above 75) occurs approximately 10-15% of the time. The index spends most of its time in the fear-to-neutral range (25-55), reflecting that crypto markets tend to have a slight fear bias due to their speculative nature. Sustained extremes lasting more than two weeks are rarer, occurring 2-4 times per year.

Q

Can the index be manipulated?

A

Individual components can be influenced: social media sentiment can be manipulated by bots, Google Trends can be gamed by coordinated search campaigns, and surveys are subject to self-selection bias. However, the index is reasonably robust because it combines multiple independent data sources and weights them to reduce the impact of any single manipulated component. The volatility and momentum components, based on actual market data, are the most manipulation-resistant.

Q

Does the index work for bear markets differently than bull markets?

A

Yes. During bear markets, the index tends to oscillate between fear and extreme fear, rarely reaching greed territory. Short relief rallies that push the index to neutral or greed often represent selling opportunities rather than the start of a new bull market. Conversely, during bull markets, the index tends to oscillate between greed and extreme greed, with brief dips to fear representing buying opportunities. The market cycle context is essential for interpreting the index correctly.

Q

How does this differ from the CNN Fear and Greed Index for stocks?

A

The crypto index uses different components adapted for crypto markets: BTC dominance, crypto-specific social media, and crypto Google Trends replace the stock market indicators of put/call ratios, junk bond demand, and stock breadth. The crypto index is more volatile, reaching extremes more frequently due to the higher emotional intensity of crypto markets. The stock index rarely goes below 10 or above 90, while the crypto index reaches these levels multiple times per year.

Q

Should I change my portfolio allocation based on the index?

A

The index is best used to adjust position sizing and timing rather than fundamental allocation decisions. If your long-term target is 10% crypto, the index might suggest deploying that allocation faster during extreme fear and slower during extreme greed. It should not be used to make major allocation changes like going from 10% to 50% crypto because the index hit extreme fear. Tactical adjustments of 20-30% around your target allocation are more appropriate.

Common Mistakes to Avoid

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Pro Tip

Set up automatic alerts for when the index drops below 20 or rises above 80. These extreme readings occur infrequently enough (maybe 6-10 times per year) that they are actionable. When you receive a fear alert, deploy extra capital through DCA over the following 2-4 weeks rather than in a single purchase. When you receive a greed alert, consider taking 10-20% of profits off the table. This systematic approach removes emotion from the decision process.

⭐

Did you know?

The crypto Fear and Greed Index hit extreme greed (above 90) on November 9, 2021, the exact day Bitcoin reached its all-time high of 69000 dollars. Within 30 days, Bitcoin had fallen to 42000 dollars (a 39% decline), and within 13 months it hit 15500 dollars (a 77% decline). This single data point perfectly illustrates the index contrarian value: when absolutely everyone is greedy, the top is often already in.

Regional Guides

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United States▾
US-specific sentiment indicators include the Bitcoin ETF fund flow data (net inflows versus outflows from IBIT, FBTC, etc.), which serves as a direct measure of traditional finance sentiment toward crypto. When ETF flows turn sharply negative while the Fear and Greed Index shows extreme fear, it confirms broad-based pessimism. US regulatory sentiment (SEC enforcement actions, Congressional hearings) also affects the social media component disproportionately, as major regulatory events generate outsized discussion.
Asia Pacific▾
Asian markets often lead crypto sentiment shifts due to time zone positioning and the high concentration of retail traders in South Korea, Japan, and China. The Korean kimchi premium (the price difference between Korean exchanges and global markets) is a powerful regional sentiment indicator. When the kimchi premium exceeds 5%, it indicates extreme Korean retail FOMO (greed). When it turns negative (Korean exchanges trading below global price), it indicates extreme local fear.
Global▾
The Fear and Greed Index is inherently global because cryptocurrency markets operate 24/7 without geographic boundaries. However, sentiment can diverge regionally: Asian traders may be fearful during a US regulatory crackdown while European traders remain neutral. The index weights social media data from English-language platforms disproportionately, potentially underrepresenting sentiment in Chinese (WeChat, Weibo), Korean (KakaoTalk), and Japanese (Line) social networks.
📖Difficulty:Beginner
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Formula-verified for precision
Reviewed October 2026
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