Rocky Mountain High Stock Market Value
| RMHB Stock | USD 0.01 0 40.00% |
| Symbol | Rocky |
Rocky Mountain '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 Rocky Mountain's pink sheet 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 Rocky Mountain.
| 11/24/2024 |
| 12/24/2024 |
If you would invest 0.00 in Rocky Mountain on November 24, 2024 and sell it all today you would earn a total of 0.00 from holding Rocky Mountain High or generate 0.0% return on investment in Rocky Mountain over 30 days. Rocky Mountain is related to or competes with Coca Cola, PepsiCo, Nongfu Spring, Monster Beverage, Keurig Dr, Coca Cola, and Coca Cola. Rocky Mountain High Brands, Inc. operates as a lifestyle brand management company More
Rocky Mountain 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 Rocky Mountain's pink sheet 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 Rocky Mountain High upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 24.28 | |||
| Information Ratio | 0.1162 | |||
| Maximum Drawdown | 131.19 | |||
| Value At Risk | (38.89) | |||
| Potential Upside | 68.0 |
Rocky Mountain Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Rocky Mountain's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Rocky Mountain's standard deviation. In reality, there are many statistical measures that can use Rocky Mountain historical prices to predict the future Rocky Mountain's volatility.| Risk Adjusted Performance | 0.1027 | |||
| Jensen Alpha | 3.43 | |||
| Total Risk Alpha | 2.61 | |||
| Sortino Ratio | 0.1422 | |||
| Treynor Ratio | 1.82 |
Rocky Mountain High Backtested Returns
Rocky Mountain is out of control given 3 months investment horizon. Rocky Mountain High maintains Sharpe Ratio (i.e., Efficiency) of 0.12, which implies the firm had a 0.12% return per unit of risk over the last 3 months. We have analyze and collected data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 3.62% are justified by taking the suggested risk. Use Rocky Mountain Coefficient Of Variation of 852.3, risk adjusted performance of 0.1027, and Semi Deviation of 21.22 to evaluate company specific risk that cannot be diversified away. Rocky Mountain holds a performance score of 9 on a scale of zero to a hundred. The company holds a Beta of 1.91, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Rocky Mountain will likely underperform. Use Rocky Mountain maximum drawdown, skewness, and the relationship between the total risk alpha and downside variance , to analyze future returns on Rocky Mountain.
Auto-correlation | -0.27 |
Weak reverse predictability
Rocky Mountain High has weak reverse predictability. Overlapping area represents the amount of predictability between Rocky Mountain time series from 24th of November 2024 to 9th of December 2024 and 9th of December 2024 to 24th of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Rocky Mountain High price movement. The serial correlation of -0.27 indicates that nearly 27.0% of current Rocky Mountain price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.27 | |
| Spearman Rank Test | -0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Rocky Mountain High lagged returns against current returns
Autocorrelation, which is Rocky Mountain pink sheet'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 Rocky Mountain's pink sheet expected returns. We can calculate the autocorrelation of Rocky Mountain returns to help us make a trade decision. For example, suppose you find that Rocky Mountain has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Rocky Mountain 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 Rocky Mountain pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Rocky Mountain pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Rocky Mountain pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Rocky Mountain Lagged Returns
When evaluating Rocky Mountain's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Rocky Mountain pink sheet have on its future price. Rocky Mountain 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, Rocky Mountain autocorrelation shows the relationship between Rocky Mountain pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Rocky Mountain High.
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.Other Information on Investing in Rocky Pink Sheet
Rocky Mountain financial ratios help investors to determine whether Rocky Pink Sheet 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 Rocky with respect to the benefits of owning Rocky Mountain security.