Alphadroid Defensive Sector Etf Market Value
| EZRO Etf | 24.67 0.12 0.48% |
| Symbol | AlphaDroid |
The market value of AlphaDroid Defensive is measured differently than its book value, which is the value of AlphaDroid that is recorded on the company's balance sheet. Investors also form their own opinion of AlphaDroid Defensive's value that differs from its market value or its book value, called intrinsic value, which is AlphaDroid Defensive'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 AlphaDroid Defensive's market value can be influenced by many factors that don't directly affect AlphaDroid Defensive'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 AlphaDroid Defensive's value and its price as these two are different measures arrived at by different means. Investors typically determine if AlphaDroid Defensive is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AlphaDroid Defensive'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.
AlphaDroid Defensive '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 AlphaDroid Defensive'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 AlphaDroid Defensive.
| 11/25/2025 |
| 12/25/2025 |
If you would invest 0.00 in AlphaDroid Defensive on November 25, 2025 and sell it all today you would earn a total of 0.00 from holding AlphaDroid Defensive Sector or generate 0.0% return on investment in AlphaDroid Defensive over 30 days. AlphaDroid Defensive is related to or competes with Freedom Day, Davis Select, IShares MSCI, SmartETFs Dividend, Elevation Series, Principal Value, and Vanguard Total. AlphaDroid Defensive is entity of United States More
AlphaDroid Defensive 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 AlphaDroid Defensive'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 AlphaDroid Defensive Sector upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 5.22 | |||
| Value At Risk | (2.44) | |||
| Potential Upside | 2.01 |
AlphaDroid Defensive Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AlphaDroid Defensive's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AlphaDroid Defensive's standard deviation. In reality, there are many statistical measures that can use AlphaDroid Defensive historical prices to predict the future AlphaDroid Defensive's volatility.| Risk Adjusted Performance | 2.0E-4 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.13) | |||
| Treynor Ratio | (0.07) |
AlphaDroid Defensive Backtested Returns
AlphaDroid Defensive secures Sharpe Ratio (or Efficiency) of close to zero, which signifies that the etf had a close to zero % return per unit of risk over the last 3 months. AlphaDroid Defensive Sector exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm AlphaDroid Defensive's Risk Adjusted Performance of 2.0E-4, standard deviation of 1.33, and Mean Deviation of 1.01 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.27, which signifies not very significant fluctuations relative to the market. As returns on the market increase, AlphaDroid Defensive's returns are expected to increase less than the market. However, during the bear market, the loss of holding AlphaDroid Defensive is expected to be smaller as well.
Auto-correlation | 0.03 |
Virtually no predictability
AlphaDroid Defensive Sector has virtually no predictability. Overlapping area represents the amount of predictability between AlphaDroid Defensive time series from 25th of November 2025 to 10th of December 2025 and 10th of December 2025 to 25th 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 AlphaDroid Defensive price movement. The serial correlation of 0.03 indicates that only 3.0% of current AlphaDroid Defensive price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.03 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
AlphaDroid Defensive lagged returns against current returns
Autocorrelation, which is AlphaDroid Defensive 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 AlphaDroid Defensive's etf expected returns. We can calculate the autocorrelation of AlphaDroid Defensive returns to help us make a trade decision. For example, suppose you find that AlphaDroid Defensive 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 |
AlphaDroid Defensive 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 AlphaDroid Defensive etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AlphaDroid Defensive etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AlphaDroid Defensive etf over time.
Current vs Lagged Prices |
| Timeline |
AlphaDroid Defensive Lagged Returns
When evaluating AlphaDroid Defensive's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AlphaDroid Defensive etf have on its future price. AlphaDroid Defensive 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, AlphaDroid Defensive autocorrelation shows the relationship between AlphaDroid Defensive etf current value and its past values and can show if there is a momentum factor associated with investing in AlphaDroid Defensive Sector.
Regressed Prices |
| Timeline |
Pair Trading with AlphaDroid Defensive
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 AlphaDroid Defensive 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 AlphaDroid Defensive will appreciate offsetting losses from the drop in the long position's value.Moving together with AlphaDroid Etf
The ability to find closely correlated positions to AlphaDroid Defensive could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AlphaDroid Defensive 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 AlphaDroid Defensive - 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 AlphaDroid Defensive Sector to buy it.
The correlation of AlphaDroid Defensive 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 AlphaDroid Defensive moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AlphaDroid Defensive 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 AlphaDroid Defensive 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 AlphaDroid Defensive Correlation, AlphaDroid Defensive Volatility and AlphaDroid Defensive Alpha and Beta module to complement your research on AlphaDroid Defensive. You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
AlphaDroid Defensive 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.