Sustainable Innovation Health Fund Technical Analysis
| SIH-UN Fund | CAD 13.86 0.10 0.73% |
As of the 18th of January 2025, Sustainable Innovation has the Risk Adjusted Performance of 0.0854, semi deviation of 0.6383, and Coefficient Of Variation of 997.59. Our technical analysis interface makes it possible for you to check existing technical drivers of Sustainable Innovation, as well as the relationship between them.
Sustainable Innovation Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Sustainable, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SustainableSustainable |
Sustainable Innovation technical fund 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, fund market cycles, or different charting patterns.
Sustainable Innovation Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Sustainable Innovation volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Sustainable Innovation Trend Analysis
Use this graph to draw trend lines for Sustainable Innovation Health. You can use it to identify possible trend reversals for Sustainable Innovation 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 Sustainable Innovation price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Sustainable Innovation Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Sustainable Innovation Health applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Sustainable Innovation Health will continue generating value for investors. It has 122 observation points and a regression sum of squares at 4.68, which is the sum of squared deviations for the predicted Sustainable Innovation price change compared to its average price change.About Sustainable Innovation 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 Sustainable Innovation Health 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 Sustainable Innovation Health based on its technical analysis. In general, a bottom-up approach, as applied to this fund, focuses on Sustainable Innovation price pattern first instead of the macroeconomic environment surrounding Sustainable Innovation. By analyzing Sustainable Innovation'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 Sustainable Innovation'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 Sustainable Innovation specific price patterns or momentum indicators. Please read more on our technical analysis page.
Sustainable Innovation January 18, 2025 Technical Indicators
Most technical analysis of Sustainable 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 Sustainable from various momentum indicators to cycle indicators. When you analyze Sustainable 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 | 0.0854 | |||
| Market Risk Adjusted Performance | 0.489 | |||
| Mean Deviation | 0.605 | |||
| Semi Deviation | 0.6383 | |||
| Downside Deviation | 1.24 | |||
| Coefficient Of Variation | 997.59 | |||
| Standard Deviation | 0.9938 | |||
| Variance | 0.9877 | |||
| Information Ratio | 0.0704 | |||
| Jensen Alpha | 0.0859 | |||
| Total Risk Alpha | 0.0662 | |||
| Sortino Ratio | 0.0566 | |||
| Treynor Ratio | 0.479 | |||
| Maximum Drawdown | 5.31 | |||
| Value At Risk | (1.57) | |||
| Potential Upside | 1.99 | |||
| Downside Variance | 1.53 | |||
| Semi Variance | 0.4075 | |||
| Expected Short fall | (1.00) | |||
| Skewness | 0.3162 | |||
| Kurtosis | 1.99 |
Other Information on Investing in Sustainable Fund
Sustainable Innovation financial ratios help investors to determine whether Sustainable Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Sustainable with respect to the benefits of owning Sustainable Innovation security.
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
| Economic Indicators Top statistical indicators that provide insights into how an economy is performing |