Alps Equal Sector Etf Market Value
| EQL Etf | USD 48.04 0.13 0.27% |
| Symbol | ALPS |
The market value of ALPS Equal Sector 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 Equal's value that differs from its market value or its book value, called intrinsic value, which is ALPS Equal's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because ALPS Equal's market value can be influenced by many factors that don't directly affect ALPS Equal'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 Equal's value and its price as these two are different measures arrived at by different means. Investors typically determine if ALPS Equal is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ALPS Equal's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
ALPS Equal '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 Equal'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 Equal.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in ALPS Equal on October 29, 2025 and sell it all today you would earn a total of 0.00 from holding ALPS Equal Sector or generate 0.0% return on investment in ALPS Equal over 90 days. ALPS Equal is related to or competes with Pacer Funds, VictoryShares 500, Invesco SP, Swan Hedged, Northern Lights, Harbor ETF, and Invesco Actively. In order to track the underlying index, the fund will use a fund of funds approach, and seek to achieve its investment o... More
ALPS Equal 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 Equal'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 Equal Sector upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6274 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 2.73 | |||
| Value At Risk | (0.86) | |||
| Potential Upside | 0.9168 |
ALPS Equal Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ALPS Equal's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ALPS Equal's standard deviation. In reality, there are many statistical measures that can use ALPS Equal historical prices to predict the future ALPS Equal's volatility.| Risk Adjusted Performance | 0.0771 | |||
| Jensen Alpha | 0.0438 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.384 |
ALPS Equal January 27, 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 | 0.0771 | |||
| Market Risk Adjusted Performance | 0.394 | |||
| Mean Deviation | 0.4667 | |||
| Semi Deviation | 0.5043 | |||
| Downside Deviation | 0.6274 | |||
| Coefficient Of Variation | 921.74 | |||
| Standard Deviation | 0.587 | |||
| Variance | 0.3446 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | 0.0438 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.384 | |||
| Maximum Drawdown | 2.73 | |||
| Value At Risk | (0.86) | |||
| Potential Upside | 0.9168 | |||
| Downside Variance | 0.3936 | |||
| Semi Variance | 0.2544 | |||
| Expected Short fall | (0.47) | |||
| Skewness | (0.23) | |||
| Kurtosis | (0.30) |
ALPS Equal Sector Backtested Returns
As of now, ALPS Etf is very steady. ALPS Equal Sector secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the etf had a 0.13 % return per unit of risk over the last 3 months. We have found thirty technical indicators for ALPS Equal Sector, which you can use to evaluate the volatility of the entity. Please confirm ALPS Equal's risk adjusted performance of 0.0771, and Mean Deviation of 0.4667 to double-check if the risk estimate we provide is consistent with the expected return of 0.0779%. The etf shows a Beta (market volatility) of 0.14, which signifies not very significant fluctuations relative to the market. As returns on the market increase, ALPS Equal's returns are expected to increase less than the market. However, during the bear market, the loss of holding ALPS Equal is expected to be smaller as well.
Auto-correlation | 0.42 |
Average predictability
ALPS Equal Sector has average predictability. Overlapping area represents the amount of predictability between ALPS Equal time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th 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 ALPS Equal Sector price movement. The serial correlation of 0.42 indicates that just about 42.0% of current ALPS Equal price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.42 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 0.4 |
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ALPS Equal 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.