Smartetfs Etf Market Value

MOTO
 Etf
  

USD 38.63  0.02  0.05%   

Smartetfs Smart's market value is the price at which a share of Smartetfs Smart stock trades on a public exchange. It measures the collective expectations of Smartetfs Smart Transport investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of Smartetfs Smart Transport and determine expected loss or profit from investing in Smartetfs Smart over a given investment horizon. Additionally, see Smartetfs Smart Hype Analysis, Smartetfs Smart Correlation, Portfolio Optimization, Smartetfs Smart Volatility, as well as analyze Smartetfs Smart Alpha and Beta and Smartetfs Smart Performance.
Symbol

The market value of Smartetfs Smart Transport is measured differently than its book value, which is the value of Smartetfs that is recorded on the company's balance sheet. Investors also form their own opinion of Smartetfs Smart's value that differs from its market value or its book value, called intrinsic value, which is Smartetfs Smart'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 Smartetfs Smart's market value can be influenced by many factors that don't directly affect Smartetfs Smart'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 Smartetfs Smart's value and its price as these two are different measures arrived at by different means. Investors typically determine Smartetfs Smart value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Smartetfs Smart'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.

Smartetfs Smart '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 Smartetfs Smart'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 Smartetfs Smart.
0.00
08/18/2020
No Change 0.00  0.0 
In 1 year 11 months and 22 days
08/08/2022
0.00
If you would invest  0.00  in Smartetfs Smart on August 18, 2020 and sell it all today you would earn a total of 0.00 from holding Smartetfs Smart Transport or generate 0.0% return on investment in Smartetfs Smart over 720 days. Smartetfs Smart is related to or competes with Johnson Johnson. The fund invests in publicly-traded equity securities of domestic or foreign companies that are involved in the developm...More

Smartetfs Smart 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 Smartetfs Smart'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 Smartetfs Smart Transport upside and downside potential and time the market with a certain degree of confidence.

Smartetfs Smart Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Smartetfs Smart's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Smartetfs Smart's standard deviation. In reality, there are many statistical measures that can use Smartetfs Smart historical prices to predict the future Smartetfs Smart's volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Smartetfs Smart'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. Please use the tools below to analyze the current value of Smartetfs Smart in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
36.6638.6340.60
Details
Intrinsic
Valuation
LowReal ValueHigh
36.1938.1640.13
Details
Naive
Forecast
LowNext ValueHigh
35.7037.6739.63
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
34.3337.2740.21
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Smartetfs Smart. Your research has to be compared to or analyzed against Smartetfs Smart's peers to derive any actionable benefits. When done correctly, Smartetfs Smart's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Smartetfs Smart Transport.

Smartetfs Smart Transport Backtested Returns

We consider Smartetfs Smart very steady. Smartetfs Smart Transport owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0558, which indicates the etf had 0.0558% of return per unit of risk over the last 3 months. Our standpoint towards measuring the volatility of an etf is to use all available market data together with etf-specific technical indicators that cannot be diversified away. We have found twenty-eight technical indicators for Smartetfs Smart Transport, which you can use to evaluate the future volatility of the etf. Please validate Smartetfs Smart Coefficient Of Variation of 7689.27, risk adjusted performance of 0.021, and Semi Deviation of 2.05 to confirm if the risk estimate we provide is consistent with the expected return of 0.11%.
The entity has a beta of 1.2662, which indicates a somewhat significant risk relative to the market. Let's try to break down what Smartetfs's beta means in this case. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Smartetfs Smart will likely underperform. Although it is important to respect Smartetfs Smart Transport current price movements, it is better to be realistic regarding the information on the equity's historical returns. The philosophy towards measuring future performance of any etf is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By inspecting Smartetfs Smart Transport technical indicators, you can presently evaluate if the expected return of 0.11% will be sustainable into the future.

Auto-correlation

    
  -0.66  

Very good reverse predictability

Smartetfs Smart Transport has very good reverse predictability. Overlapping area represents the amount of predictability between Smartetfs Smart time series from 18th of August 2020 to 13th of August 2021 and 13th of August 2021 to 8th of August 2022. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Smartetfs Smart Transport price movement. The serial correlation of -0.66 indicates that around 66.0% of current Smartetfs Smart price fluctuation can be explain by its past prices.
Correlation Coefficient-0.66
Spearman Rank Test-0.73
Residual Average0.0
Price Variance20.73

Smartetfs Smart Transport lagged returns against current returns

Autocorrelation, which is Smartetfs Smart 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 Smartetfs Smart's etf expected returns. We can calculate the autocorrelation of Smartetfs Smart returns to help us make a trade decision. For example, suppose you find that Smartetfs Smart etf has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
   Current and Lagged Values   
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       Timeline  

Smartetfs Smart 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 Smartetfs Smart etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Smartetfs Smart etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Smartetfs Smart etf over time.
   Current vs Lagged Prices   
Share
       Timeline  

Smartetfs Smart Lagged Returns

When evaluating Smartetfs Smart's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Smartetfs Smart etf have on its future price. Smartetfs Smart 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, Smartetfs Smart autocorrelation shows the relationship between Smartetfs Smart etf current value and its past values and can show if there is a momentum factor associated with investing in Smartetfs Smart Transport.
   Regressed Prices   
Share
       Timeline  

Be your own money manager

Our tools can tell you how much better you can do entering a position in Smartetfs Smart without increasing your portfolio risk or giving up expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate.risk-adjusted returns of your individual positions relative to your overall portfolio.

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Becoming a Better Investor with Macroaxis

Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Smartetfs Smart Transport using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.

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Additionally, see Smartetfs Smart Hype Analysis, Smartetfs Smart Correlation, Portfolio Optimization, Smartetfs Smart Volatility, as well as analyze Smartetfs Smart Alpha and Beta and Smartetfs Smart Performance. Note that the Smartetfs Smart Transport information on this page should be used as a complementary analysis to other Smartetfs Smart's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.

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When running Smartetfs Smart Transport price analysis, check to measure Smartetfs Smart's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Smartetfs Smart is operating at the current time. Most of Smartetfs Smart's value examination focuses on studying past and present price action to predict the probability of Smartetfs Smart's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Smartetfs Smart's price. Additionally, you may evaluate how the addition of Smartetfs Smart to your portfolios can decrease your overall portfolio volatility.
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Smartetfs Smart 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, stock market cycles, or different charting patterns.
A focus of Smartetfs Smart technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Smartetfs Smart trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...