Alpha Brands Consumption Etf Market Value
| LOGO Etf | 21.23 0.04 0.19% |
| Symbol | Alpha |
The market value of Alpha Brands Consumption is measured differently than its book value, which is the value of Alpha that is recorded on the company's balance sheet. Investors also form their own opinion of Alpha Brands' value that differs from its market value or its book value, called intrinsic value, which is Alpha Brands' 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 Alpha Brands' market value can be influenced by many factors that don't directly affect Alpha Brands' 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 Alpha Brands' value and its price as these two are different measures arrived at by different means. Investors typically determine if Alpha Brands is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Alpha Brands' 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.
Alpha Brands '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 Alpha Brands' 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 Alpha Brands.
| 11/26/2025 |
| 12/26/2025 |
If you would invest 0.00 in Alpha Brands on November 26, 2025 and sell it all today you would earn a total of 0.00 from holding Alpha Brands Consumption or generate 0.0% return on investment in Alpha Brands over 30 days. Alpha Brands is related to or competes with Kurv Technology, ProShares Ultra, AdvisorShares, First Trust, Sprott Lithium, JP Morgan, and Innovator Equity. The investment seeks to provide investment results that correspond generally to the price and yield performance, before ... More
Alpha Brands 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 Alpha Brands' 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 Alpha Brands Consumption upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 3.45 | |||
| Value At Risk | (1.61) | |||
| Potential Upside | 0.9882 |
Alpha Brands Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alpha Brands' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alpha Brands' standard deviation. In reality, there are many statistical measures that can use Alpha Brands historical prices to predict the future Alpha Brands' volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.17) | |||
| Treynor Ratio | (0.08) |
Alpha Brands Consumption Backtested Returns
Alpha Brands Consumption secures Sharpe Ratio (or Efficiency) of -0.0809, which signifies that the etf had a -0.0809 % return per unit of risk over the last 3 months. Alpha Brands Consumption exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Alpha Brands' Risk Adjusted Performance of (0.06), mean deviation of 0.6858, and Standard Deviation of 0.8525 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.98, which signifies possible diversification benefits within a given portfolio. Alpha Brands returns are very sensitive to returns on the market. As the market goes up or down, Alpha Brands is expected to follow.
Auto-correlation | 0.05 |
Virtually no predictability
Alpha Brands Consumption has virtually no predictability. Overlapping area represents the amount of predictability between Alpha Brands time series from 26th of November 2025 to 11th of December 2025 and 11th of December 2025 to 26th of December 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Alpha Brands Consumption price movement. The serial correlation of 0.05 indicates that only as little as 5.0% of current Alpha Brands price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.05 | |
| Spearman Rank Test | 0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Alpha Brands Consumption lagged returns against current returns
Autocorrelation, which is Alpha Brands etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Alpha Brands' etf expected returns. We can calculate the autocorrelation of Alpha Brands returns to help us make a trade decision. For example, suppose you find that Alpha Brands has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Alpha Brands regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Alpha Brands etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alpha Brands etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alpha Brands etf over time.
Current vs Lagged Prices |
| Timeline |
Alpha Brands Lagged Returns
When evaluating Alpha Brands' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alpha Brands etf have on its future price. Alpha Brands autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Alpha Brands autocorrelation shows the relationship between Alpha Brands etf current value and its past values and can show if there is a momentum factor associated with investing in Alpha Brands Consumption.
Regressed Prices |
| Timeline |
Pair Trading with Alpha Brands
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Alpha Brands position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Alpha Brands will appreciate offsetting losses from the drop in the long position's value.Moving together with Alpha Etf
Moving against Alpha Etf
The ability to find closely correlated positions to Alpha Brands could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Alpha Brands when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Alpha Brands - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Alpha Brands Consumption to buy it.
The correlation of Alpha Brands is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Alpha Brands moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Alpha Brands Consumption moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Alpha Brands can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Alpha Brands Correlation, Alpha Brands Volatility and Alpha Brands Alpha and Beta module to complement your research on Alpha Brands. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Alpha Brands 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.