Alpha Brands Consumption Etf Technical Analysis
| LOGO Etf | 20.09 0.32 1.62% |
As of the 9th of February, Alpha Brands shows the Risk Adjusted Performance of (0.1), standard deviation of 0.8442, and Mean Deviation of 0.6659. In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of Alpha Brands, as well as the relationship between them.
Alpha Brands Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Alpha, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AlphaAlpha Brands' 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 Alpha Brands Consumption using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Alpha Brands' 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 Alpha Brands' market price to deviate significantly from intrinsic value.
Understanding that Alpha Brands' value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Alpha Brands represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Conversely, Alpha Brands' market price signifies the transaction level at which participants voluntarily complete trades.
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.
| 11/11/2025 |
| 02/09/2026 |
If you would invest 0.00 in Alpha Brands on November 11, 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 90 days. Alpha Brands is related to or competes with Kurv Technology, Listed Funds, ProShares Ultra, AdvisorShares, First Trust, Sprott Lithium, and JP Morgan. 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 | (0.23) | |||
| Maximum Drawdown | 3.85 | |||
| Value At Risk | (1.61) | |||
| Potential Upside | 0.9497 |
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 | (0.1) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | (0.14) |
Alpha Brands February 9, 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 | (0.1) | |||
| Market Risk Adjusted Performance | (0.13) | |||
| Mean Deviation | 0.6659 | |||
| Coefficient Of Variation | (821.87) | |||
| Standard Deviation | 0.8442 | |||
| Variance | 0.7126 | |||
| Information Ratio | (0.23) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | (0.14) | |||
| Maximum Drawdown | 3.85 | |||
| Value At Risk | (1.61) | |||
| Potential Upside | 0.9497 | |||
| Skewness | (0.49) | |||
| Kurtosis | 0.0641 |
Alpha Brands Consumption Backtested Returns
Alpha Brands Consumption secures Sharpe Ratio (or Efficiency) of -0.11, which signifies that the etf had a -0.11 % 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' Standard Deviation of 0.8442, mean deviation of 0.6659, and Risk Adjusted Performance of (0.1) to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.82, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Alpha Brands' returns are expected to increase less than the market. However, during the bear market, the loss of holding Alpha Brands is expected to be smaller as well.
Auto-correlation | -0.38 |
Poor reverse predictability
Alpha Brands Consumption has poor reverse predictability. Overlapping area represents the amount of predictability between Alpha Brands time series from 11th of November 2025 to 26th of December 2025 and 26th of December 2025 to 9th 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 Alpha Brands Consumption price movement. The serial correlation of -0.38 indicates that just about 38.0% of current Alpha Brands price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.38 | |
| Spearman Rank Test | -0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.19 |
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.
Alpha Brands Consumption Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Alpha Brands Consumption volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Alpha Brands 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 Alpha Brands Consumption 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 Alpha Brands Consumption based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Alpha Brands Consumption price pattern first instead of the macroeconomic environment surrounding Alpha Brands Consumption. By analyzing Alpha Brands'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 Alpha Brands'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 Alpha Brands specific price patterns or momentum indicators. Please read more on our technical analysis page.
Alpha Brands February 9, 2026 Technical Indicators
Most technical analysis of Alpha 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 Alpha from various momentum indicators to cycle indicators. When you analyze Alpha 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 | (0.1) | |||
| Market Risk Adjusted Performance | (0.13) | |||
| Mean Deviation | 0.6659 | |||
| Coefficient Of Variation | (821.87) | |||
| Standard Deviation | 0.8442 | |||
| Variance | 0.7126 | |||
| Information Ratio | (0.23) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | (0.14) | |||
| Maximum Drawdown | 3.85 | |||
| Value At Risk | (1.61) | |||
| Potential Upside | 0.9497 | |||
| Skewness | (0.49) | |||
| Kurtosis | 0.0641 |
Alpha Brands February 9, 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 Alpha 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 | 0.00 | ||
| Daily Balance Of Power | 3.56 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 20.05 | ||
| Day Typical Price | 20.06 | ||
| Price Action Indicator | 0.21 | ||
| Market Facilitation Index | 0.09 |
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Alpha Brands Consumption. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in price. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
Investors evaluate Alpha Brands Consumption using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Alpha Brands' 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 Alpha Brands' market price to deviate significantly from intrinsic value.
Understanding that Alpha Brands' value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Alpha Brands represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Conversely, Alpha Brands' market price signifies the transaction level at which participants voluntarily complete trades.