Alps Sector Dividend Etf Technical Analysis
| SDOG Etf | USD 67.76 0.83 1.24% |
As of the 13th of February 2026, ALPS Sector shows the mean deviation of 0.6195, and Risk Adjusted Performance of 0.2441. In relation to fundamental indicators, the technical analysis model gives you tools to check helpful technical drivers of ALPS Sector, as well as the relationship between them. Please confirm ALPS Sector Dividend variance, maximum drawdown, as well as the relationship between the Maximum Drawdown and semi variance to decide if ALPS Sector Dividend is priced favorably, providing market reflects its regular price of 67.76 per share.
ALPS Sector Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as ALPS, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ALPSALPS Sector's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Investors evaluate ALPS Sector Dividend using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating ALPS Sector's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause ALPS Sector's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between ALPS Sector's value and its price as these two are different measures arrived at by different means. Investors typically determine if ALPS Sector is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, ALPS Sector's market price signifies the transaction level at which participants voluntarily complete trades.
ALPS Sector '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 Sector'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 Sector.
| 11/15/2025 |
| 02/13/2026 |
If you would invest 0.00 in ALPS Sector on November 15, 2025 and sell it all today you would earn a total of 0.00 from holding ALPS Sector Dividend or generate 0.0% return on investment in ALPS Sector over 90 days. ALPS Sector is related to or competes with Invesco Dynamic, WisdomTree High, Vanguard, IShares Morningstar, First Trust, First Trust, and JPMorgan International. The underlying index generally consists of 50 stocks on each annual reconstitution date, which is the third Friday of De... More
ALPS Sector 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 Sector'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 Sector Dividend upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6809 | |||
| Information Ratio | 0.1996 | |||
| Maximum Drawdown | 3.59 | |||
| Value At Risk | (1.11) | |||
| Potential Upside | 1.56 |
ALPS Sector Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ALPS Sector's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ALPS Sector's standard deviation. In reality, there are many statistical measures that can use ALPS Sector historical prices to predict the future ALPS Sector's volatility.| Risk Adjusted Performance | 0.2441 | |||
| Jensen Alpha | 0.2286 | |||
| Total Risk Alpha | 0.1606 | |||
| Sortino Ratio | 0.234 | |||
| Treynor Ratio | 11.12 |
ALPS Sector 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 | 0.2441 | |||
| Market Risk Adjusted Performance | 11.13 | |||
| Mean Deviation | 0.6195 | |||
| Semi Deviation | 0.3047 | |||
| Downside Deviation | 0.6809 | |||
| Coefficient Of Variation | 332.5 | |||
| Standard Deviation | 0.7984 | |||
| Variance | 0.6374 | |||
| Information Ratio | 0.1996 | |||
| Jensen Alpha | 0.2286 | |||
| Total Risk Alpha | 0.1606 | |||
| Sortino Ratio | 0.234 | |||
| Treynor Ratio | 11.12 | |||
| Maximum Drawdown | 3.59 | |||
| Value At Risk | (1.11) | |||
| Potential Upside | 1.56 | |||
| Downside Variance | 0.4637 | |||
| Semi Variance | 0.0929 | |||
| Expected Short fall | (0.74) | |||
| Skewness | 0.2593 | |||
| Kurtosis | 0.0203 |
ALPS Sector Dividend Backtested Returns
ALPS Sector appears to be very steady, given 3 months investment horizon. ALPS Sector Dividend secures Sharpe Ratio (or Efficiency) of 0.32, which signifies that the etf had a 0.32 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for ALPS Sector Dividend, which you can use to evaluate the volatility of the entity. Please makes use of ALPS Sector's mean deviation of 0.6195, and Risk Adjusted Performance of 0.2441 to double-check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 0.0207, which signifies not very significant fluctuations relative to the market. As returns on the market increase, ALPS Sector's returns are expected to increase less than the market. However, during the bear market, the loss of holding ALPS Sector is expected to be smaller as well.
Auto-correlation | 0.77 |
Good predictability
ALPS Sector Dividend has good predictability. Overlapping area represents the amount of predictability between ALPS Sector 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 Sector Dividend price movement. The serial correlation of 0.77 indicates that around 77.0% of current ALPS Sector price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.77 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 3.37 |
ALPS Sector 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.
ALPS Sector Dividend Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for ALPS Sector Dividend across different markets.
About ALPS Sector Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of ALPS Sector Dividend on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of ALPS Sector Dividend based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on ALPS Sector Dividend price pattern first instead of the macroeconomic environment surrounding ALPS Sector Dividend. By analyzing ALPS Sector's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of ALPS Sector's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to ALPS Sector specific price patterns or momentum indicators. Please read more on our technical analysis page.
ALPS Sector February 13, 2026 Technical Indicators
Most technical analysis of ALPS help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for ALPS from various momentum indicators to cycle indicators. When you analyze ALPS charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.2441 | |||
| Market Risk Adjusted Performance | 11.13 | |||
| Mean Deviation | 0.6195 | |||
| Semi Deviation | 0.3047 | |||
| Downside Deviation | 0.6809 | |||
| Coefficient Of Variation | 332.5 | |||
| Standard Deviation | 0.7984 | |||
| Variance | 0.6374 | |||
| Information Ratio | 0.1996 | |||
| Jensen Alpha | 0.2286 | |||
| Total Risk Alpha | 0.1606 | |||
| Sortino Ratio | 0.234 | |||
| Treynor Ratio | 11.12 | |||
| Maximum Drawdown | 3.59 | |||
| Value At Risk | (1.11) | |||
| Potential Upside | 1.56 | |||
| Downside Variance | 0.4637 | |||
| Semi Variance | 0.0929 | |||
| Expected Short fall | (0.74) | |||
| Skewness | 0.2593 | |||
| Kurtosis | 0.0203 |
ALPS Sector Dividend One Year Return
Based on the recorded statements, ALPS Sector Dividend has an One Year Return of 21.0%. This is 116.94% higher than that of the ALPS family and significantly higher than that of the Large Value category. The one year return for all United States etfs is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.ALPS Sector February 13, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as ALPS stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.01 | ||
| Daily Balance Of Power | 1.17 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 67.41 | ||
| Day Typical Price | 67.53 | ||
| Price Action Indicator | 0.76 | ||
| Market Facilitation Index | 0.71 |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in ALPS Sector Dividend. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in employment. You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
Investors evaluate ALPS Sector Dividend using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating ALPS Sector's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause ALPS Sector's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between ALPS Sector's value and its price as these two are different measures arrived at by different means. Investors typically determine if ALPS Sector is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, ALPS Sector's market price signifies the transaction level at which participants voluntarily complete trades.