Spinnaker Etf Series Etf Market Value
| LGHT Etf | USD 9.59 0.09 0.95% |
| Symbol | Spinnaker |
The market value of Spinnaker ETF Series is measured differently than its book value, which is the value of Spinnaker that is recorded on the company's balance sheet. Investors also form their own opinion of Spinnaker ETF's value that differs from its market value or its book value, called intrinsic value, which is Spinnaker ETF's true underlying value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Because Spinnaker ETF's market value can be influenced by many factors that don't directly affect Spinnaker ETF's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Understanding that Spinnaker ETF's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Spinnaker ETF represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Meanwhile, Spinnaker ETF's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
Spinnaker ETF '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 Spinnaker ETF'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 Spinnaker ETF.
| 11/10/2025 |
| 02/08/2026 |
If you would invest 0.00 in Spinnaker ETF on November 10, 2025 and sell it all today you would earn a total of 0.00 from holding Spinnaker ETF Series or generate 0.0% return on investment in Spinnaker ETF over 90 days. Spinnaker ETF is related to or competes with Amplify Samsung, PGIM Nasdaq, Themes Silver, IShares Trust, Guinness Atkinson, Harbor ETF, and Direxion Daily. Lighthouse Bank provides commercial and personal banking products and services to individuals, professionals, small to m... More
Spinnaker ETF 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 Spinnaker ETF'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 Spinnaker ETF Series upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 5.8 | |||
| Value At Risk | (1.73) | |||
| Potential Upside | 1.74 |
Spinnaker ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Spinnaker ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Spinnaker ETF's standard deviation. In reality, there are many statistical measures that can use Spinnaker ETF historical prices to predict the future Spinnaker ETF's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | (0.12) |
Spinnaker ETF February 8, 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 | (0.08) | |||
| Market Risk Adjusted Performance | (0.11) | |||
| Mean Deviation | 0.8234 | |||
| Coefficient Of Variation | (1,006) | |||
| Standard Deviation | 1.06 | |||
| Variance | 1.13 | |||
| Information Ratio | (0.18) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | (0.12) | |||
| Maximum Drawdown | 5.8 | |||
| Value At Risk | (1.73) | |||
| Potential Upside | 1.74 | |||
| Skewness | 0.2446 | |||
| Kurtosis | 0.4908 |
Spinnaker ETF Series Backtested Returns
Spinnaker ETF Series owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0798, which indicates the etf had a -0.0798 % return per unit of risk over the last 3 months. Spinnaker ETF Series exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Spinnaker ETF's Coefficient Of Variation of (1,006), variance of 1.13, and Risk Adjusted Performance of (0.08) to confirm the risk estimate we provide. The entity has a beta of 0.93, which indicates possible diversification benefits within a given portfolio. Spinnaker ETF returns are very sensitive to returns on the market. As the market goes up or down, Spinnaker ETF is expected to follow.
Auto-correlation | -0.04 |
Very weak reverse predictability
Spinnaker ETF Series has very weak reverse predictability. Overlapping area represents the amount of predictability between Spinnaker ETF time series from 10th of November 2025 to 25th of December 2025 and 25th of December 2025 to 8th of February 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 Spinnaker ETF Series price movement. The serial correlation of -0.04 indicates that only as little as 4.0% of current Spinnaker ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.04 | |
| Spearman Rank Test | 0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Thematic Opportunities
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Check out Spinnaker ETF Correlation, Spinnaker ETF Volatility and Spinnaker ETF Performance module to complement your research on Spinnaker ETF. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Spinnaker ETF 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.