Alphamark Actively Managed Etf Market Value
| SMCP Etf | USD 35.40 0.01 0.03% |
| Symbol | AlphaMark |
The market value of AlphaMark Actively is measured differently than its book value, which is the value of AlphaMark that is recorded on the company's balance sheet. Investors also form their own opinion of AlphaMark Actively's value that differs from its market value or its book value, called intrinsic value, which is AlphaMark Actively'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 AlphaMark Actively's market value can be influenced by many factors that don't directly affect AlphaMark Actively'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 AlphaMark Actively's value and its price as these two are different measures arrived at by different means. Investors typically determine if AlphaMark Actively is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AlphaMark Actively'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.
AlphaMark Actively '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 AlphaMark Actively'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 AlphaMark Actively.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in AlphaMark Actively on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding AlphaMark Actively Managed or generate 0.0% return on investment in AlphaMark Actively over 30 days. AlphaMark Actively is related to or competes with Vanguard Mid, Vanguard Small, Vanguard FTSE, Vanguard Large, and Vanguard Small. Under normal circumstances, the fund will invest at least 80 percent of its net assets directly or indirectly in small c... More
AlphaMark Actively 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 AlphaMark Actively'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 AlphaMark Actively Managed upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.08 | |||
| Information Ratio | 0.0094 | |||
| Maximum Drawdown | 7.88 | |||
| Value At Risk | (1.48) | |||
| Potential Upside | 2.06 |
AlphaMark Actively Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AlphaMark Actively's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AlphaMark Actively's standard deviation. In reality, there are many statistical measures that can use AlphaMark Actively historical prices to predict the future AlphaMark Actively's volatility.| Risk Adjusted Performance | 0.0858 | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | 0.0116 | |||
| Treynor Ratio | 0.0888 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AlphaMark Actively's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
AlphaMark Actively Backtested Returns
Currently, AlphaMark Actively Managed is very steady. AlphaMark Actively 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. We have found thirty technical indicators for AlphaMark Actively Managed, which you can use to evaluate the volatility of the entity. Please confirm AlphaMark Actively's Downside Deviation of 1.08, mean deviation of 0.9544, and Risk Adjusted Performance of 0.0858 to double-check if the risk estimate we provide is consistent with the expected return of 0.16%. The etf shows a Beta (market volatility) of 1.5, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, AlphaMark Actively will likely underperform.
Auto-correlation | 0.74 |
Good predictability
AlphaMark Actively Managed has good predictability. Overlapping area represents the amount of predictability between AlphaMark Actively time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of AlphaMark Actively price movement. The serial correlation of 0.74 indicates that around 74.0% of current AlphaMark Actively price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.4 |
AlphaMark Actively lagged returns against current returns
Autocorrelation, which is AlphaMark Actively 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 AlphaMark Actively's etf expected returns. We can calculate the autocorrelation of AlphaMark Actively returns to help us make a trade decision. For example, suppose you find that AlphaMark Actively 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 |
AlphaMark Actively 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 AlphaMark Actively etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AlphaMark Actively etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AlphaMark Actively etf over time.
Current vs Lagged Prices |
| Timeline |
AlphaMark Actively Lagged Returns
When evaluating AlphaMark Actively's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AlphaMark Actively etf have on its future price. AlphaMark Actively 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, AlphaMark Actively autocorrelation shows the relationship between AlphaMark Actively etf current value and its past values and can show if there is a momentum factor associated with investing in AlphaMark Actively Managed.
Regressed Prices |
| Timeline |
Pair Trading with AlphaMark Actively
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 AlphaMark Actively 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 AlphaMark Actively will appreciate offsetting losses from the drop in the long position's value.Moving together with AlphaMark Etf
| 0.98 | VB | Vanguard Small Cap | PairCorr |
| 0.99 | IJR | iShares Core SP | PairCorr |
| 0.99 | IWM | iShares Russell 2000 Aggressive Push | PairCorr |
| 0.99 | VRTIX | Vanguard Russell 2000 | PairCorr |
| 0.99 | VTWO | Vanguard Russell 2000 | PairCorr |
The ability to find closely correlated positions to AlphaMark Actively could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AlphaMark Actively 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 AlphaMark Actively - 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 AlphaMark Actively Managed to buy it.
The correlation of AlphaMark Actively 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 AlphaMark Actively moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AlphaMark Actively 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 AlphaMark Actively 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 AlphaMark Actively Correlation, AlphaMark Actively Volatility and AlphaMark Actively Alpha and Beta module to complement your research on AlphaMark Actively. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
AlphaMark Actively 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.