Smi 3fourteen Full Cycle Etf Technical Analysis
| FCTE Etf | 27.29 0.16 0.59% |
As of the 2nd of December, SMI 3Fourteen has the coefficient of variation of 5283.64, and Risk Adjusted Performance of 0.0169. SMI 3Fourteen technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the etf's future prices. Please validate SMI 3Fourteen Full variance, as well as the relationship between the maximum drawdown and semi variance to decide if SMI 3Fourteen is priced adequately, providing market reflects its prevalent price of 27.29 per share.
SMI 3Fourteen Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SMI, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SMISMI |
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.
SMI 3Fourteen Full Technical Analysis
The output start index for this execution was twenty-eight with a total number of output elements of thirty-three. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of SMI 3Fourteen Full volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SMI 3Fourteen Full Trend Analysis
Use this graph to draw trend lines for SMI 3Fourteen Full Cycle. You can use it to identify possible trend reversals for SMI 3Fourteen as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual SMI 3Fourteen price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SMI 3Fourteen Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SMI 3Fourteen Full Cycle applied against its price change over selected period. The best fit line has a slop of 0 , which means SMI 3Fourteen Full Cycle will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.49, which is the sum of squared deviations for the predicted SMI 3Fourteen price change compared to its average price change.About SMI 3Fourteen Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of SMI 3Fourteen Full Cycle on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of SMI 3Fourteen Full Cycle based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on SMI 3Fourteen Full price pattern first instead of the macroeconomic environment surrounding SMI 3Fourteen Full. By analyzing SMI 3Fourteen's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of SMI 3Fourteen's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to SMI 3Fourteen specific price patterns or momentum indicators. Please read more on our technical analysis page.
SMI 3Fourteen December 2, 2024 Technical Indicators
Most technical analysis of SMI help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for SMI from various momentum indicators to cycle indicators. When you analyze SMI charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0169 | |||
| Market Risk Adjusted Performance | 0.0208 | |||
| Mean Deviation | 0.7664 | |||
| Semi Deviation | 1.09 | |||
| Downside Deviation | 1.14 | |||
| Coefficient Of Variation | 5283.64 | |||
| Standard Deviation | 1.01 | |||
| Variance | 1.01 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | (0.1) | |||
| Total Risk Alpha | (0.16) | |||
| Sortino Ratio | (0.10) | |||
| Treynor Ratio | 0.0108 | |||
| Maximum Drawdown | 4.45 | |||
| Value At Risk | (1.67) | |||
| Potential Upside | 1.51 | |||
| Downside Variance | 1.29 | |||
| Semi Variance | 1.19 | |||
| Expected Short fall | (0.74) | |||
| Skewness | (0.64) | |||
| Kurtosis | 1.72 |
SMI 3Fourteen December 2, 2024 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as SMI stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 736.33 | ||
| Daily Balance Of Power | 0.70 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 27.21 | ||
| Day Typical Price | 27.23 | ||
| Price Action Indicator | 0.16 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in SMI 3Fourteen Full Cycle. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in estimate. You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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.