Question 1

What is crypto macro analytics and why track Ethereum vs Dow Jones?

Accepted Answer

Crypto macro analytics examines the relationship between cryptocurrency markets and traditional financial assets. Tracking Ethereum vs Dow Jones helps investors understand how ETH correlates with traditional markets, identify risk-on or risk-off market environments, spot divergences that may signal trend changes, and make informed portfolio allocation decisions. This dashboard provides real-time correlation tracking, performance comparison, and volatility analysis between Ethereum and Dow Jones, enabling data-driven investment strategies.

Question 2

How do I interpret Ethereum vs Dow Jones correlation data?

Accepted Answer

Correlation measures how two assets move together, ranging from -1 (perfect inverse) to +1 (perfect positive correlation). When Ethereum shows high positive correlation with Dow Jones, they tend to move in the same direction, suggesting ETH is behaving like a risk asset. Low or negative correlation indicates Ethereum is moving independently or inversely to Dow Jones, potentially offering diversification benefits. Our dashboard displays rolling correlation over multiple timeframes (1 week, 1 month, 3 months, 6 months) to identify trend changes. Rising correlation during market stress often indicates flight-to-safety dynamics affecting both crypto and traditional markets.

Question 3

What is realized volatility and how is it calculated for Ethereum?

Accepted Answer

Realized volatility measures actual historical price fluctuations of Ethereum over a specific period, calculated using the standard deviation of logarithmic returns. Unlike implied volatility which reflects future expectations, realized volatility (RV) shows what actually happened. Our dashboard displays Ethereum realized volatility over 1-week, 1-month, 3-month, and 6-month windows, allowing comparison with Dow Jones volatility. Higher realized volatility indicates larger price swings and greater risk, while lower RV suggests more stable price behavior. Comparing Ethereum RV against Dow Jones helps assess relative risk and identify periods when crypto volatility diverges from traditional market volatility.

Question 4

How can I use Ethereum quarterly returns data for investment decisions?

Accepted Answer

Quarterly returns data shows Ethereum percentage performance for each quarter (Q1-Q4) across multiple years, revealing seasonal patterns, bull and bear market cycles, and long-term performance trends. Use this data to identify historically strong quarters for Ethereum, compare performance across different market cycles, calculate compound annual growth rates (CAGR), evaluate risk-adjusted returns, and set realistic return expectations. The quarterly close prices table complements returns data by showing actual Ethereum price levels at quarter-end, helping identify support and resistance zones. Historical quarterly analysis helps investors avoid recency bias and understand Ethereum long-term performance characteristics.

Question 5

What does the correlation coefficient heatmap show?

Accepted Answer

The correlation coefficient heatmap visualizes correlation relationships between Ethereum, Bitcoin, Dow Jones, and other major assets. Color intensity indicates correlation strength: darker colors show stronger correlation (positive or negative), while lighter colors indicate weak correlation. This heatmap helps identify which assets move together (diversification risks) or move independently (diversification opportunities), spot changes in correlation regimes across different market conditions, and understand Ethereum positioning within the broader financial ecosystem. Strong correlation clustering indicates systemic risk, while dispersed correlations suggest better portfolio diversification potential.

Question 6

What timeframes should I use for Ethereum macro analysis?

Accepted Answer

Different timeframes serve different investment strategies. For day trading and short-term positions, use 1-month and 3-month views to capture recent correlation trends and volatility patterns. For swing trading and medium-term positioning, 3-month and 6-month timeframes balance responsiveness with trend stability. For long-term investing and portfolio allocation, 1-year and 2-year views reveal structural correlation changes and major trend shifts. Our dashboard offers 1-month, 3-month, 6-month, 1-year, and 2-year analysis windows. Comparing multiple timeframes simultaneously helps identify whether current Ethereum vs Dow Jones correlation is temporary or part of a sustained regime change.

Question 7

How does Ethereum correlation with gold differ from stock market correlation?

Accepted Answer

Ethereum correlation with gold versus stock markets reveals its evolving market role. Gold traditionally serves as a safe-haven asset with low or negative stock correlation, appreciating during market stress. When Ethereum correlation with gold increases, it suggests ETH is being treated as a store of value or inflation hedge. High Ethereum correlation with stock indices like Dow Jones indicates risk-on behavior where ETH moves with equity markets. The correlation spread between Ethereum-gold and Ethereum-stocks helps identify whether crypto is functioning as digital gold (safe haven) or a risk asset (tech stock proxy). Monitoring these relationships guides asset allocation and risk management strategies.

Question 8

What is the ETH/BTC ratio and why does it matter for macro analysis?

Accepted Answer

The ETH/BTC ratio measures Ethereum price relative to Bitcoin, indicating which cryptocurrency is outperforming. Rising ETH/BTC ratio signals Ethereum strength and potential altcoin season, often correlating with risk-on market sentiment and increased speculation. Falling ETH/BTC ratio indicates Bitcoin dominance and flight-to-quality within crypto markets, typically during risk-off environments or bear markets. This ratio helps identify crypto market leadership, assess relative value between major cryptocurrencies, and time rotations between BTC and ETH exposure. The dashboard also displays ETH-BTC correlation across multiple timeframes (1-month, 3-month, 6-month, 1-year), showing when both assets move in tandem versus diverge, informing diversification decisions within crypto portfolios.

Question 9

How do I use the Assets To Date Returns table?

Accepted Answer

The Assets To Date Returns table displays MTD (Month-to-Date), QTD (Quarter-to-Date), and YTD (Year-to-Date) performance for Ethereum, Bitcoin, and major market indices including Dow Jones. Use MTD returns to track current month momentum and identify near-term leaders, QTD returns to assess quarterly performance and spot sector rotation trends, and YTD returns to evaluate full-year performance and relative strength across asset classes. This table enables quick performance comparison, identifies outperformers and underperformers, informs portfolio rebalancing decisions, and provides context for Ethereum performance relative to traditional markets. Consistently strong relative returns suggest sustained investor interest and momentum.

Ethereum vs DOW JONES • Macro Analytics

ETH Quarterly returns (%)

ETH Quarterly close Prices

Assets To Date Returns (%)