Tidal ETF Trust ETF Alpha and Beta Analysis

JOJO ETF  USD 15.60  0.03  0.19%   
This tool quantifies Tidal ETF's market sensitivity and excess return over the selected time period. The resulting alpha and beta estimates provide a standardized view of Tidal ETF's value creation. Key technical indicators related to Tidal ETF's market risk premium analysis are outlined below. Alpha persistence is rare — a high alpha in one period does not guarantee continuation in the next.
 Beta
0.17
 Alpha
0.02
 Risk
0.54
 Sharpe Ratio
0.02
 Expected Return
0.01
Relative to Dow Jones Industrial, Tidal ETF shows alpha at 0.02  and beta at 0.17  . With a sub-1 beta, Tidal ETF typically participates in market rallies at a reduced pace while often limiting downside exposure. .
Alpha captures the portion of returns not explained by broad market exposure. High-beta assets amplify both gains and losses relative to the broader market.
  
Performance context for Tidal ETF is available through Tidal ETF Analysis, Portfolio Optimization, Tidal ETF Correlation, Tidal ETF Market Sentiment Analysis, Tidal ETF Volatility, Tidal ETF Price History and Tidal ETF Performance.

Market Premiums

The risk premium on Tidal ETF Trust connects expected return with the level of market exposure investors accept. Combining market premium with volatility, diversification, and the investor's actual time horizon produces a more grounded assessment.
α0.02   β0.17

Expected Buy-and-Hold Returns

Although buy-and-hold investment strategy may not appeal to all investors, it may be used as a good measure of Tidal ETF's Buy-and-hold return. Our buy-and-hold chart shows how Tidal ETF performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.

Market Price Analysis

Price-action analysis on Tidal ETF Trust is useful because it shows how the market is currently processing news, volatility, and changing expectations around the asset. Using price indicators as decision support, then validating them against fundamentals, valuation, and portfolio context, produces a more complete picture.

Return and Market Media

The median price of Tidal ETF for the period between Thu, Feb 5, 2026 and Wed, May 6, 2026 is 15.61 with a coefficient of variation of 1.15. The daily time series for the period is distributed with a sample standard deviation of 0.18, arithmetic mean of 15.62, and mean deviation of 0.14. The Etf did not receive any noticeable media coverage during the period.
 Price Growth (%)  
       Timeline  

Performance Metrics & Calculation Methodology

Benchmark tracking for Tidal ETF determines how closely returns mirror the target index after costs. Tracking difference separates implementation cost from structural return divergence.

Tidal ETF Trust metrics draw on fund disclosures and market reference feeds, standardized for cross-period comparison. Return and risk statistics are calculated from historical price series.

Editorial review and methodology oversight provided by: Ellen Johnson, Member of Macroaxis Editorial Board
Tracking market mood for Tidal ETF adds a behavior lens on top of core and technical work. Mood signals for Tidal ETF range from surveys to machine scans of news and social media. The most useful mood reads for Tidal ETF come at extremes, where crowd moves are most clear.

Build Portfolio with Tidal ETF

Serious investors usually evaluate Tidal ETF Trust in portfolio context because a good security can still be a weak addition if it increases concentration or unnecessary volatility. Comparing expected return, volatility, and correlation before the position is increased or introduced reduces avoidable risk.

Build Diversified Portfolios

Align your risk with return expectations

The optimization framework evaluates risk capacity by factoring in risk tolerance and time horizon settings. The analysis quantifies risk context relative to target returns.

More Resources for Tidal ETF ETF Analysis

Analysis of Tidal ETF Trust often begins with its portfolio holdings and historical return patterns. Metrics connect expense ratio, tracking precision, and portfolio construction quality.