Harvest Clean Energy Etf Technical Analysis
| HCLN Etf | CAD 8.10 0.09 1.10% |
As of the 4th of December, Harvest Clean retains the Risk Adjusted Performance of (0.02), standard deviation of 1.5, and Market Risk Adjusted Performance of 0.6142. Harvest Clean technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the entity's future prices.
Harvest Clean Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Harvest, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HarvestHarvest |
Harvest Clean 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.
Harvest Clean Energy Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. 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 Harvest Clean Energy volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Harvest Clean Energy Trend Analysis
Use this graph to draw trend lines for Harvest Clean Energy. You can use it to identify possible trend reversals for Harvest Clean 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 Harvest Clean price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Harvest Clean Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Harvest Clean Energy applied against its price change over selected period. The best fit line has a slop of 0.02 , which may suggest that Harvest Clean Energy market price will keep on failing further. It has 122 observation points and a regression sum of squares at 9.43, which is the sum of squared deviations for the predicted Harvest Clean price change compared to its average price change.About Harvest Clean 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 Harvest Clean Energy 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 Harvest Clean Energy based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Harvest Clean Energy price pattern first instead of the macroeconomic environment surrounding Harvest Clean Energy. By analyzing Harvest Clean'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 Harvest Clean'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 Harvest Clean specific price patterns or momentum indicators. Please read more on our technical analysis page.
Harvest Clean December 4, 2024 Technical Indicators
Most technical analysis of Harvest 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 Harvest from various momentum indicators to cycle indicators. When you analyze Harvest 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 | (0.02) | |||
| Market Risk Adjusted Performance | 0.6142 | |||
| Mean Deviation | 1.12 | |||
| Coefficient Of Variation | (2,578) | |||
| Standard Deviation | 1.5 | |||
| Variance | 2.25 | |||
| Information Ratio | (0.11) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.27) | |||
| Treynor Ratio | 0.6042 | |||
| Maximum Drawdown | 8.91 | |||
| Value At Risk | (2.53) | |||
| Potential Upside | 2.14 | |||
| Skewness | (1.07) | |||
| Kurtosis | 3.14 |
Other Information on Investing in Harvest Etf
Harvest Clean financial ratios help investors to determine whether Harvest Etf 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 Harvest with respect to the benefits of owning Harvest Clean security.