Smi 3fourteen Full Cycle Etf Market Value
| FCTE Etf | 25.48 0.48 1.92% |
| Symbol | SMI |
The market value of SMI 3Fourteen Full is measured differently than its book value, which is the value of SMI that is recorded on the company's balance sheet. Investors also form their own opinion of SMI 3Fourteen's value that differs from its market value or its book value, called intrinsic value, which is SMI 3Fourteen'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 SMI 3Fourteen's market value can be influenced by many factors that don't directly affect SMI 3Fourteen'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 SMI 3Fourteen's value and its price as these two are different measures arrived at by different means. Investors typically determine if SMI 3Fourteen is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SMI 3Fourteen'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.
SMI 3Fourteen '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 SMI 3Fourteen'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 SMI 3Fourteen.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in SMI 3Fourteen on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding SMI 3Fourteen Full Cycle or generate 0.0% return on investment in SMI 3Fourteen over 90 days. SMI 3Fourteen is related to or competes with FT Vest, Northern Lights, Dimensional International, First Trust, EA Series, FT Cboe, and FT Cboe. SMI 3Fourteen is entity of United States More
SMI 3Fourteen 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 SMI 3Fourteen'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 SMI 3Fourteen Full Cycle upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0077 | |||
| Maximum Drawdown | 4.16 | |||
| Value At Risk | (1.33) | |||
| Potential Upside | 1.33 |
SMI 3Fourteen Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SMI 3Fourteen's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SMI 3Fourteen's standard deviation. In reality, there are many statistical measures that can use SMI 3Fourteen historical prices to predict the future SMI 3Fourteen's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | 0.0162 | |||
| Treynor Ratio | (0.14) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SMI 3Fourteen'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.
SMI 3Fourteen Full Backtested Returns
SMI 3Fourteen Full owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.095, which indicates the etf had a -0.095 % return per unit of volatility over the last 3 months. SMI 3Fourteen Full Cycle exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SMI 3Fourteen's risk adjusted performance of (0.08), and Variance of 0.8876 to confirm the risk estimate we provide. The entity has a beta of 0.7, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SMI 3Fourteen's returns are expected to increase less than the market. However, during the bear market, the loss of holding SMI 3Fourteen is expected to be smaller as well.
Auto-correlation | -0.6 |
Good reverse predictability
SMI 3Fourteen Full Cycle has good reverse predictability. Overlapping area represents the amount of predictability between SMI 3Fourteen time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 SMI 3Fourteen Full price movement. The serial correlation of -0.6 indicates that roughly 60.0% of current SMI 3Fourteen price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.6 | |
| Spearman Rank Test | -0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.39 |
SMI 3Fourteen Full lagged returns against current returns
Autocorrelation, which is SMI 3Fourteen 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 SMI 3Fourteen's etf expected returns. We can calculate the autocorrelation of SMI 3Fourteen returns to help us make a trade decision. For example, suppose you find that SMI 3Fourteen 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 |
SMI 3Fourteen 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 SMI 3Fourteen etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SMI 3Fourteen etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SMI 3Fourteen etf over time.
Current vs Lagged Prices |
| Timeline |
SMI 3Fourteen Lagged Returns
When evaluating SMI 3Fourteen's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SMI 3Fourteen etf have on its future price. SMI 3Fourteen 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, SMI 3Fourteen autocorrelation shows the relationship between SMI 3Fourteen etf current value and its past values and can show if there is a momentum factor associated with investing in SMI 3Fourteen Full Cycle.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether SMI 3Fourteen Full is a strong investment it is important to analyze SMI 3Fourteen's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact SMI 3Fourteen's future performance. For an informed investment choice regarding SMI Etf, refer to the following important reports:Check out SMI 3Fourteen Correlation, SMI 3Fourteen Volatility and SMI 3Fourteen Alpha and Beta module to complement your research on SMI 3Fourteen. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
SMI 3Fourteen 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.