Alps Etf Trust Etf Market Value
| OUSM Etf | USD 47.11 0.22 0.47% |
| Symbol | ALPS |
Investors evaluate ALPS ETF Trust using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating ALPS ETF's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause ALPS ETF's market price to deviate significantly from intrinsic value.
It's important to distinguish between ALPS ETF's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding ALPS ETF should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, ALPS ETF's market price signifies the transaction level at which participants voluntarily complete trades.
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.
| 11/15/2025 |
| 02/13/2026 |
If you would invest 0.00 in ALPS ETF on November 15, 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 ALPS ETF, Invesco High, IShares Asia, IShares Energy, Invesco SP, IShares Micro, and IShares Emerging. Under normal market conditions, the fund will invest at least 80 percent of its total assets in the components of the in... 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 | 0.7267 | |||
| Information Ratio | 0.046 | |||
| Maximum Drawdown | 3.67 | |||
| Value At Risk | (1.17) | |||
| Potential Upside | 1.78 |
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 | 0.1137 | |||
| Jensen Alpha | 0.0515 | |||
| Total Risk Alpha | 0.0351 | |||
| Sortino Ratio | 0.0548 | |||
| Treynor Ratio | 0.1323 |
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 13, 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 | 0.1137 | |||
| Market Risk Adjusted Performance | 0.1423 | |||
| Mean Deviation | 0.6596 | |||
| Semi Deviation | 0.563 | |||
| Downside Deviation | 0.7267 | |||
| Coefficient Of Variation | 718.38 | |||
| Standard Deviation | 0.8663 | |||
| Variance | 0.7505 | |||
| Information Ratio | 0.046 | |||
| Jensen Alpha | 0.0515 | |||
| Total Risk Alpha | 0.0351 | |||
| Sortino Ratio | 0.0548 | |||
| Treynor Ratio | 0.1323 | |||
| Maximum Drawdown | 3.67 | |||
| Value At Risk | (1.17) | |||
| Potential Upside | 1.78 | |||
| Downside Variance | 0.528 | |||
| Semi Variance | 0.3169 | |||
| Expected Short fall | (0.78) | |||
| Skewness | 0.4431 | |||
| Kurtosis | 0.0897 |
ALPS ETF Trust Backtested Returns
As of now, ALPS Etf is very steady. ALPS ETF Trust secures Sharpe Ratio (or Efficiency) of 0.22, which signifies that the etf had a 0.22 % return per unit of risk over the last 3 months. We have found twenty-eight 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 0.6596, and Risk Adjusted Performance of 0.1137 to double-check if the risk estimate we provide is consistent with the expected return of 0.19%. The etf shows a Beta (market volatility) of 0.84, which signifies possible diversification benefits within a given portfolio. 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 | 0.68 |
Good predictability
ALPS ETF Trust has good predictability. Overlapping area represents the amount of predictability between ALPS ETF time series from 15th of November 2025 to 30th of December 2025 and 30th of December 2025 to 13th 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 0.68 indicates that around 68.0% of current ALPS ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.68 | |
| Spearman Rank Test | 0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 0.92 |
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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.