Nine Mile Metals Stock Probability of Future Pink Sheet Price Finishing Under 0.0251
| VMSXF Stock | USD 0.02 0 7.23% |
Nine |
Nine Mile Target Price Odds to finish below 0.0251
The tendency of Nine Pink Sheet price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to stay under $ 0.03 after 90 days |
| 0.02 | 90 days | 0.03 | about 12.51 |
Based on a normal probability distribution, the odds of Nine Mile to stay under $ 0.03 after 90 days from now is about 12.51 (This Nine Mile Metals probability density function shows the probability of Nine Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Nine Mile Metals price to stay between its current price of $ 0.02 and $ 0.03 at the end of the 90-day period is about 9.24 .
Assuming the 90 days horizon Nine Mile Metals has a beta of -1.78. This entails as returns on its benchmark rise, returns on holding Nine Mile Metals are expected to decrease by similarly larger amounts. On the other hand, during market turmoils, Nine Mile is expected to outperform its benchmark. Additionally Nine Mile Metals has an alpha of 0.5866, implying that it can generate a 0.59 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Nine Mile Price Density |
| Price |
Predictive Modules for Nine Mile
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Nine Mile Metals. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Nine Mile's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Nine Mile Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Nine Mile is not an exception. The market had few large corrections towards the Nine Mile's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Nine Mile Metals, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Nine Mile within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.59 | |
β | Beta against Dow Jones | -1.78 | |
σ | Overall volatility | 0 | |
Ir | Information ratio | 0.02 |
Nine Mile Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Nine Mile for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Nine Mile Metals can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Nine Mile Metals had very high historical volatility over the last 90 days | |
| Nine Mile Metals has some characteristics of a very speculative penny stock | |
| Nine Mile Metals has high likelihood to experience some financial distress in the next 2 years | |
| Net Loss for the year was (1.72 M) with profit before overhead, payroll, taxes, and interest of 0. | |
| Nine Mile Metals has accumulated about 552.36 K in cash with (1.33 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.01. | |
| Roughly 40.0% of the company outstanding shares are owned by insiders |
Nine Mile Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Nine Pink Sheet often depends not only on the future outlook of the current and potential Nine Mile's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Nine Mile's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 53 M |
Nine Mile Technical Analysis
Nine Mile's future price can be derived by breaking down and analyzing its technical indicators over time. Nine Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Nine Mile Metals. In general, you should focus on analyzing Nine Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
Nine Mile Predictive Forecast Models
Nine Mile's time-series forecasting models is one of many Nine Mile's pink sheet analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Nine Mile's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the pink sheet market movement and maximize returns from investment trading.
Things to note about Nine Mile Metals
Checking the ongoing alerts about Nine Mile for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Nine Mile Metals help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Nine Mile Metals had very high historical volatility over the last 90 days | |
| Nine Mile Metals has some characteristics of a very speculative penny stock | |
| Nine Mile Metals has high likelihood to experience some financial distress in the next 2 years | |
| Net Loss for the year was (1.72 M) with profit before overhead, payroll, taxes, and interest of 0. | |
| Nine Mile Metals has accumulated about 552.36 K in cash with (1.33 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.01. | |
| Roughly 40.0% of the company outstanding shares are owned by insiders |
Other Information on Investing in Nine Pink Sheet
Nine Mile financial ratios help investors to determine whether Nine 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 Nine with respect to the benefits of owning Nine Mile security.