Rocky Mountain High Stock Technical Analysis
| RMHB Stock | USD 0.01 0 12.50% |
As of the 24th of December, Rocky Mountain holds the Risk Adjusted Performance of 0.1035, coefficient of variation of 852.3, and Semi Deviation of 21.22. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Rocky Mountain, as well as the relationship between them.
Rocky Mountain Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Rocky, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to RockyRocky |
Rocky Mountain technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Rocky Mountain High Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Rocky Mountain High volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Rocky Mountain High Trend Analysis
Use this graph to draw trend lines for Rocky Mountain High. You can use it to identify possible trend reversals for Rocky Mountain 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 Rocky Mountain price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Rocky Mountain Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Rocky Mountain High applied against its price change over selected period. The best fit line has a slop of 0 , which may suggest that Rocky Mountain High market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Rocky Mountain price change compared to its average price change.About Rocky Mountain 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 Rocky Mountain High 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 Rocky Mountain High based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Rocky Mountain High price pattern first instead of the macroeconomic environment surrounding Rocky Mountain High. By analyzing Rocky Mountain'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 Rocky Mountain'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 Rocky Mountain specific price patterns or momentum indicators. Please read more on our technical analysis page.
Rocky Mountain December 24, 2024 Technical Indicators
Most technical analysis of Rocky 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 Rocky from various momentum indicators to cycle indicators. When you analyze Rocky 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 | 0.1035 | |||
| Market Risk Adjusted Performance | 2.14 | |||
| Mean Deviation | 22.99 | |||
| Semi Deviation | 21.22 | |||
| Downside Deviation | 24.28 | |||
| Coefficient Of Variation | 852.3 | |||
| Standard Deviation | 29.71 | |||
| Variance | 882.89 | |||
| Information Ratio | 0.1158 | |||
| Jensen Alpha | 3.42 | |||
| Total Risk Alpha | 2.19 | |||
| Sortino Ratio | 0.1417 | |||
| Treynor Ratio | 2.13 | |||
| Maximum Drawdown | 131.19 | |||
| Value At Risk | (38.89) | |||
| Potential Upside | 68.0 | |||
| Downside Variance | 589.53 | |||
| Semi Variance | 450.37 | |||
| Expected Short fall | (29.53) | |||
| Skewness | 0.7153 | |||
| Kurtosis | 0.3241 |
Complementary Tools for Rocky Pink Sheet analysis
When running Rocky Mountain's price analysis, check to measure Rocky Mountain's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Rocky Mountain is operating at the current time. Most of Rocky Mountain's value examination focuses on studying past and present price action to predict the probability of Rocky Mountain's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Rocky Mountain's price. Additionally, you may evaluate how the addition of Rocky Mountain to your portfolios can decrease your overall portfolio volatility.
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