Smart Trend 25 Etf Market Value
| STRN Etf | USD 22.54 0.05 0.22% |
| Symbol | SMART |
The market value of SMART Trend 25 is measured differently than its book value, which is the value of SMART that is recorded on the company's balance sheet. Investors also form their own opinion of SMART Trend's value that differs from its market value or its book value, called intrinsic value, which is SMART Trend'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 SMART Trend's market value can be influenced by many factors that don't directly affect SMART Trend'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 SMART Trend's value and its price as these two are different measures arrived at by different means. Investors typically determine if SMART Trend is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SMART Trend'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.
SMART Trend '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 SMART Trend'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 SMART Trend.
| 01/09/2024 |
| 12/29/2025 |
If you would invest 0.00 in SMART Trend on January 9, 2024 and sell it all today you would earn a total of 0.00 from holding SMART Trend 25 or generate 0.0% return on investment in SMART Trend over 720 days. SMART Trend is related to or competes with Invesco DWA, SEI Exchange, American Century, Putnam Sustainable, ERShares Private, WisdomTree Efficient, and Adaptive Alpha. Stran Company, Inc. provides outsourced marketing solutions More
SMART Trend 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 SMART Trend'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 SMART Trend 25 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.71 | |||
| Information Ratio | 0.0026 | |||
| Maximum Drawdown | 7.58 | |||
| Value At Risk | (3.23) | |||
| Potential Upside | 2.33 |
SMART Trend Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SMART Trend's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SMART Trend's standard deviation. In reality, there are many statistical measures that can use SMART Trend historical prices to predict the future SMART Trend's volatility.| Risk Adjusted Performance | 0.0456 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | 0.0024 | |||
| Treynor Ratio | 0.054 |
SMART Trend 25 Backtested Returns
As of now, SMART Etf is very steady. SMART Trend 25 retains Efficiency (Sharpe Ratio) of 0.0372, which indicates the etf had a 0.0372 % return per unit of risk over the last 3 months. We have found thirty technical indicators for SMART Trend, which you can use to evaluate the volatility of the etf. Please validate SMART Trend's risk adjusted performance of 0.0456, and Downside Deviation of 1.71 to confirm if the risk estimate we provide is consistent with the expected return of 0.0588%. The entity owns a Beta (Systematic Risk) of 1.47, which indicates 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, SMART Trend will likely underperform.
Auto-correlation | 0.00 |
No correlation between past and present
SMART Trend 25 has no correlation between past and present. Overlapping area represents the amount of predictability between SMART Trend time series from 9th of January 2024 to 3rd of January 2025 and 3rd of January 2025 to 29th 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 SMART Trend 25 price movement. The serial correlation of 0.0 indicates that just 0.0% of current SMART Trend price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SMART Trend 25 lagged returns against current returns
Autocorrelation, which is SMART Trend 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 SMART Trend's etf expected returns. We can calculate the autocorrelation of SMART Trend returns to help us make a trade decision. For example, suppose you find that SMART Trend 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 |
SMART Trend 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 SMART Trend etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SMART Trend etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SMART Trend etf over time.
Current vs Lagged Prices |
| Timeline |
SMART Trend Lagged Returns
When evaluating SMART Trend's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SMART Trend etf have on its future price. SMART Trend 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, SMART Trend autocorrelation shows the relationship between SMART Trend etf current value and its past values and can show if there is a momentum factor associated with investing in SMART Trend 25.
Regressed Prices |
| Timeline |
Pair Trading with SMART Trend
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 SMART Trend 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 SMART Trend will appreciate offsetting losses from the drop in the long position's value.Moving together with SMART Etf
Moving against SMART Etf
The ability to find closely correlated positions to SMART Trend could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SMART Trend 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 SMART Trend - 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 SMART Trend 25 to buy it.
The correlation of SMART Trend 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 SMART Trend moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SMART Trend 25 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 SMART Trend 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 SMART Trend Correlation, SMART Trend Volatility and SMART Trend Alpha and Beta module to complement your research on SMART Trend. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
SMART Trend 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.