Exchange Traded Concepts Etf Market Value
| NUKZ Etf | 72.07 0.52 0.72% |
| Symbol | Exchange |
Investors evaluate Exchange Traded Concepts using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Exchange Traded's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. External factors like market trends, sector rotation, and investor psychology can cause Exchange Traded's market price to deviate significantly from intrinsic value.
It's important to distinguish between Exchange Traded's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Exchange Traded should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Exchange Traded's market price signifies the transaction level at which participants voluntarily complete trades.
Exchange Traded 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Exchange Traded's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Exchange Traded.
| 11/01/2025 |
| 01/30/2026 |
If you would invest 0.00 in Exchange Traded on November 1, 2025 and sell it all today you would earn a total of 0.00 from holding Exchange Traded Concepts or generate 0.0% return on investment in Exchange Traded over 90 days. Exchange Traded is related to or competes with SPDR SSgA, VanEck Pharmaceutical, Innovator Equity, Longview Advantage, JPMorgan Value, Fidelity Momentum, and WisdomTree China. More
Exchange Traded Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Exchange Traded's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Exchange Traded Concepts upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.84 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 5.8 | |||
| Value At Risk | (3.25) | |||
| Potential Upside | 2.51 |
Exchange Traded Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Exchange Traded's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Exchange Traded's standard deviation. In reality, there are many statistical measures that can use Exchange Traded historical prices to predict the future Exchange Traded's volatility.| Risk Adjusted Performance | 0.0062 | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | (0.01) |
Exchange Traded January 30, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0062 | |||
| Market Risk Adjusted Performance | 0.0028 | |||
| Mean Deviation | 1.31 | |||
| Semi Deviation | 1.81 | |||
| Downside Deviation | 1.84 | |||
| Coefficient Of Variation | 161050.62 | |||
| Standard Deviation | 1.69 | |||
| Variance | 2.87 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | (0.01) | |||
| Maximum Drawdown | 5.8 | |||
| Value At Risk | (3.25) | |||
| Potential Upside | 2.51 | |||
| Downside Variance | 3.4 | |||
| Semi Variance | 3.28 | |||
| Expected Short fall | (1.29) | |||
| Skewness | (0.35) | |||
| Kurtosis | 0.2185 |
Exchange Traded Concepts Backtested Returns
At this stage we consider Exchange Etf to be very steady. Exchange Traded Concepts secures Sharpe Ratio (or Efficiency) of close to zero, which denotes the etf had a close to zero % return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for Exchange Traded Concepts, which you can use to evaluate the volatility of the entity. Please confirm Exchange Traded's Downside Deviation of 1.84, semi deviation of 1.81, and Mean Deviation of 1.31 to check if the risk estimate we provide is consistent with the expected return of 0.0167%. The etf shows a Beta (market volatility) of 1.24, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Exchange Traded will likely underperform.
Auto-correlation | -0.4 |
Poor reverse predictability
Exchange Traded Concepts has poor reverse predictability. Overlapping area represents the amount of predictability between Exchange Traded time series from 1st of November 2025 to 16th of December 2025 and 16th of December 2025 to 30th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Exchange Traded Concepts price movement. The serial correlation of -0.4 indicates that just about 40.0% of current Exchange Traded price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.4 | |
| Spearman Rank Test | -0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 8.9 |
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Check out Exchange Traded Correlation, Exchange Traded Volatility and Exchange Traded Performance module to complement your research on Exchange Traded. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Exchange Traded technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.