Alps Etf Trust Etf Market Value
| SMTH Etf | 26.26 0.10 0.38% |
| Symbol | ALPS |
The market value of ALPS ETF Trust is measured differently than its book value, which is the value of ALPS that is recorded on the company's balance sheet. Investors also form their own opinion of ALPS ETF's value that differs from its market value or its book value, called intrinsic value, which is ALPS 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 ALPS ETF's market value can be influenced by many factors that don't directly affect ALPS ETF's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between ALPS ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if ALPS ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Meanwhile, ALPS ETF's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
ALPS 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 ALPS 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 ALPS ETF.
| 11/16/2025 |
| 02/14/2026 |
If you would invest 0.00 in ALPS ETF on November 16, 2025 and sell it all today you would earn a total of 0.00 from holding ALPS ETF Trust or generate 0.0% return on investment in ALPS ETF over 90 days. ALPS ETF is related to or competes with Hartford Total, JP Morgan, BNY Mellon, Bondbloxx ETF, Invesco BulletShares, IShares Trust, and PIMCO Intermediate. ALPS ETF is entity of United States. It is traded as Etf on NYSE ARCA exchange. More
ALPS 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 ALPS 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 ALPS ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1953 | |||
| Information Ratio | (0.27) | |||
| Maximum Drawdown | 0.7307 | |||
| Value At Risk | (0.27) | |||
| Potential Upside | 0.309 |
ALPS ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ALPS ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ALPS ETF's standard deviation. In reality, there are many statistical measures that can use ALPS ETF historical prices to predict the future ALPS ETF's volatility.| Risk Adjusted Performance | 0.0567 | |||
| Jensen Alpha | 0.0067 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.25) | |||
| Treynor Ratio | 0.1676 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ALPS ETF's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
ALPS ETF February 14, 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 | 0.0567 | |||
| Market Risk Adjusted Performance | 0.1776 | |||
| Mean Deviation | 0.1476 | |||
| Semi Deviation | 0.0764 | |||
| Downside Deviation | 0.1953 | |||
| Coefficient Of Variation | 884.69 | |||
| Standard Deviation | 0.1813 | |||
| Variance | 0.0329 | |||
| Information Ratio | (0.27) | |||
| Jensen Alpha | 0.0067 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.25) | |||
| Treynor Ratio | 0.1676 | |||
| Maximum Drawdown | 0.7307 | |||
| Value At Risk | (0.27) | |||
| Potential Upside | 0.309 | |||
| Downside Variance | 0.0382 | |||
| Semi Variance | 0.0058 | |||
| Expected Short fall | (0.18) | |||
| Skewness | (0.13) | |||
| Kurtosis | (0.38) |
ALPS ETF Trust Backtested Returns
ALPS ETF is very steady at the moment. ALPS ETF Trust secures Sharpe Ratio (or Efficiency) of 0.15, which signifies that the etf had a 0.15 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for ALPS ETF Trust, which you can use to evaluate the volatility of the entity. Please confirm ALPS ETF's mean deviation of 0.1476, and Risk Adjusted Performance of 0.0567 to double-check if the risk estimate we provide is consistent with the expected return of 0.0266%. The etf shows a Beta (market volatility) of 0.0626, which signifies not very significant fluctuations relative to the market. As returns on the market increase, ALPS ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding ALPS ETF is expected to be smaller as well.
Auto-correlation | 0.33 |
Below average predictability
ALPS ETF Trust has below average predictability. Overlapping area represents the amount of predictability between ALPS ETF time series from 16th of November 2025 to 31st of December 2025 and 31st of December 2025 to 14th 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 ALPS ETF Trust price movement. The serial correlation of 0.33 indicates that nearly 33.0% of current ALPS ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.33 | |
| Spearman Rank Test | 0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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Check out ALPS ETF Correlation, ALPS ETF Volatility and ALPS ETF Performance module to complement your research on ALPS ETF. For more detail on how to invest in ALPS Etf please use our How to Invest in ALPS ETF guide.You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
ALPS 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.