The CAPIVIX Index gives crypto traders something traditional markets have long relied on - a clear measure of expected market volatility. Think of it as the VIX for Bitcoin and Ethereum, showing what the market anticipates for price swings over the next 30 days.

This crypto volatility index tracks market sentiment for BTC/USD and ETH/USD pairs by analyzing options data from major derivatives exchanges. When CAPIVIX rises, it signals increased uncertainty and potential turbulence ahead. When it falls, markets are expecting calmer conditions.

What makes CAPIVIX valuable is its methodology - we've adapted the widely-trusted VIX calculation approach to work specifically with cryptocurrency options. This gives you a standardized way to gauge market anxiety or confidence across different market conditions.

The index updates continuously throughout trading hours, incorporating real-time options pricing to reflect the market's evolving risk perception. For traders and investors looking to understand market sentiment beyond price movements alone, CAPIVIX provides that crucial additional dimension of market intelligence.

➡️ Why choose us?

📊 Market Coverage & Data Types: ◦ Real-time and historical data since 2010 (for chosen assets) ◦ Full order book depth (L2/L3) ◦ Trade-by-trade data ◦ OHLCV across multiple timeframes ◦ Market indexes (VWAP, PRIMKT) ◦ Exchange rates with fiat pairs ◦ Spot, futures, options, and perpetual contracts ◦ Coverage of 90%+ global trading volume ◦ Bitcoin Price Data

🔧 Technical Excellence: ◦ 99% uptime guarantee ◦ Multiple delivery methods: REST, WebSocket, FIX, S3 ◦ Standardized data format across exchanges ◦ Ultra-low latency data streaming ◦ Detailed documentation ◦ Custom integration assistance

Whether you're hedging positions, timing entries and exits, or just wanting to better understand market psychology, our Bitcoin and Ethereum volatility data offers valuable insights into what the market collectively expects in the weeks ahead.

Between 2020 and 2023, a country ranking that estimates crypto adoption based on transaction volume consistently placed the U.S. in the top 10 of the world. The figure for 2022, especially, stands out as it broke a declining trend in 2021 and was likely caused by the change of the methodology to now include Decentralized Finance (DeFi) in the index. For example, the United States ranked second in the world when it comes to on-chain retail value received from DeFi protocols - or consumers who were buying certain DeFi protocols. This may refer to the growing use of OpenSea and other Web3 wallets within the U.S. particularly in the first months of 2022.

Our industry-leading Indices are used as the underlying for financial products or for valuation and reporting use cases

| Use Cases | Derivatives settlement Product settlement Reporting

| Why work with us? |

A proven enterprise-grade solution We prioritize the needs of enterprises in our product development, ensuring our solutions meet the requirements of larger organizations seeking best-in-class crypto data.

A UI-free approach to crypto data We recognize the importance of flexibility when it comes to crypto data, and so we offer you complete freedom by taking a UI-free approach to data delivery. This gives you total control over how you use and interpret the data, reducing friction and streamlining workflows.

Flexible to meet your needs Flexibility lies at the heart of our product and is fundamental to how crypto data can deliver value across industries and use cases. Living this philosophy, we’re always building custom options that can help you achieve your specific objectives. Whether it’s tailoring a package to meet your requirements, or adapting infrastructure to support your use case, our data and product teams are on-hand to help you find the best way to achieve your priority outcomes.

Sweden consistently ranked low compared to other countries worldwide when it comes to crypto adoption based on transaction volume. This is according to estimates based on web traffic toward individual websites that are used to perform cryptocurrency transactions. Sweden did not have a specific main area in which it preferred to use crypto. Initial estimates showcased an interest in P2P payments, but this ranking continuously declined as more research released.

In 2023, a country ranking that estimates crypto adoption based on transaction volume placed Malaysia in the top 30 in the world. Nevertheless, Malaysia fell slightly behind when it comes to retail centralized service value. Meanwhile, Malaysia was in the 40th place based on its P2P exchange trade volume. Peer-to-peer (P2P) crypto exchanges are a type of crypto exchange that let users trade cryptocurrencies with one another without the influence of a mediator, such as banks or other regulatory bodies.

CoinAPI's Crypto Indices Data Feed delivers two powerful market benchmarks: VWAP (Volume-Weighted Average Price) and PRIMKT (Principal Market Price) index. Updated every 100ms across 350+ exchanges, these institutional-grade indexes provide essential price discovery tools meeting diverse market needs.

The VWAP index aggregates 24-hour trading activity, weighting prices by volume across multiple exchanges to deliver a comprehensive market view. This methodology captures true market dynamics by incorporating both price movements and trading liquidity, providing a reliable benchmark for trading decisions and portfolio valuations.

The PRIMKT index focuses on principal trading venues with the highest volumes for each asset pair, offering precise price discovery at any given moment. Designed to meet IFRS 13 and FASB ASC 820 standards, it serves as a compliant benchmark for fair value measurement and financial reporting. This makes it particularly valuable for institutions requiring standards-compliant valuations and financial statements.

Why work with us?

Market Coverage & Data Types: - Real-time and historical data since 2010 (for chosen assets) - Market indexes (VWAP, PRIMKT) - 13 Data Sources - +7k indexes tracked - +2k assets covered - Full order book depth (L2/L3) - Tick-by-tick data - OHLCV across multiple timeframes - Exchange rates with fiat pairs - Spot, futures, options, and perpetual contracts - Coverage of 90%+ global trading volume

Technical Excellence: - 99% uptime guarantee - 100ms update frequency - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance

CoinAPI serves hundreds of institutions worldwide, from trading firms and hedge funds to research organizations and technology providers. Our commitment to data quality and technical excellence makes us the trusted choice for cryptocurrency market data needs.

Historical price and volatility data for Dynamic Crypto Index in Polish Zloty across different time periods.

A country ranking that estimates crypto adoption based on transaction volume put Italy in the top 50 of the world for the first time in 2023. Until then, Italy's crypto adoption was considered to be relatively stable. The figure for 2022, especially, stands out as it broke a declining trend in 2021 and was likely caused by the change of the methodology to now include Decentralized Finance (DeFi) in the index. For example, Italy reached a significantly higher index score in 2022 than in 2021.

In the year 2023, Vietnam occupied the third position in the Crypto Adoption Index, out of a total of 154 nations worldwide. Within the five metrics of this ranking, the nation achieved the second position for on-chain value received and the third position for on-chain retail value received.

Historical price and volatility data for Polish Zloty in Dynamic Crypto Index across different time periods.

Historical price and volatility data for Dynamic Crypto Index in US Dollar across different time periods.

Historical price and volatility data for Euro in Dynamic Crypto Index across different time periods.

In 2023, a country ranking that estimates crypto adoption based on transaction volume placed Indonesia in the top ten of the world. Indonesia ranked seventh in the world when it comes to retail value received from DeFi protocols or consumers who were buying certain DeFi protocols. In comparison, Indonesia was in the 14th place based on its P2P exchange trade volume. Peer-to-peer (P2P) crypto exchanges are a type of crypto exchange that let users trade cryptocurrencies with one another without the influence of a mediator, such as banks or other regulatory bodies.

S&P Ethereum Index is likely to exhibit moderate volatility with a slightly positive trend. Bulls may attempt to push prices higher, potentially reaching key resistance levels, but bears could resist these advances, leading to a potential pullback. Overall, the index may trade within a defined range, with potential opportunities for swing traders. However, the predictions come with risks, as the cryptocurrency market remains highly susceptible to external factors that could influence price movements and lead to significant fluctuations.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

S&P Ethereum Index: Harbinger of Crypto Adoption?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Historical price and volatility data for Dynamic Crypto Index in Euro across different time periods.

Historical price and volatility data for Russian Rubles in Alongside Crypto Market Index across different time periods.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Is the S&P Bitcoin Index the Future of Digital Asset Valuation?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Historical price and volatility data for Dynamic Crypto Index in Vietnamese Dong across different time periods.

Graph and download economic data for Coinbase Index (DISCONTINUED) (CBCCIND) from 2015-01-01 to 2020-05-26 about cryptocurrency, indexes, and USA.