Clean Air Metals Stock Market Value
| CLRMF Stock | USD 0.03 0.0006 1.71% |
| Symbol | Clean |
Clean Air '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 Clean Air's otc stock 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 Clean Air.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Clean Air on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Clean Air Metals or generate 0.0% return on investment in Clean Air over 90 days. Clean Air is related to or competes with Denarius Silver, Arras Minerals, and Gold79 Mines. Clean Air Metals Inc., an exploration stage company, engages in the identification, acquisition, exploration, and develo... More
Clean Air 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 Clean Air's otc stock 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 Clean Air Metals upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.63 | |||
| Information Ratio | 0.0319 | |||
| Maximum Drawdown | 26.58 | |||
| Value At Risk | (8.33) | |||
| Potential Upside | 9.09 |
Clean Air Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Clean Air's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Clean Air's standard deviation. In reality, there are many statistical measures that can use Clean Air historical prices to predict the future Clean Air's volatility.| Risk Adjusted Performance | 0.0211 | |||
| Jensen Alpha | 0.1006 | |||
| Total Risk Alpha | 0.7852 | |||
| Sortino Ratio | 0.0323 | |||
| Treynor Ratio | 0.2813 |
Clean Air Metals Backtested Returns
At this point, Clean Air is out of control. Clean Air Metals secures Sharpe Ratio (or Efficiency) of 0.0145, which signifies that the company had a 0.0145 % return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for Clean Air Metals, which you can use to evaluate the volatility of the firm. Please confirm Clean Air's risk adjusted performance of 0.0211, and Mean Deviation of 4.49 to double-check if the risk estimate we provide is consistent with the expected return of 0.0825%. Clean Air has a performance score of 1 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.26, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Clean Air's returns are expected to increase less than the market. However, during the bear market, the loss of holding Clean Air is expected to be smaller as well. Clean Air Metals right now shows a risk of 5.69%. Please confirm Clean Air Metals coefficient of variation, potential upside, day median price, as well as the relationship between the sortino ratio and skewness , to decide if Clean Air Metals will be following its price patterns.
Auto-correlation | 0.08 |
Virtually no predictability
Clean Air Metals has virtually no predictability. Overlapping area represents the amount of predictability between Clean Air time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Clean Air Metals price movement. The serial correlation of 0.08 indicates that barely 8.0% of current Clean Air price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.08 | |
| Spearman Rank Test | 0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Clean Air Metals lagged returns against current returns
Autocorrelation, which is Clean Air otc stock'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 Clean Air's otc stock expected returns. We can calculate the autocorrelation of Clean Air returns to help us make a trade decision. For example, suppose you find that Clean Air has exhibited high autocorrelation historically, and you observe that the otc stock 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 |
Clean Air 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 Clean Air otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Clean Air otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Clean Air otc stock over time.
Current vs Lagged Prices |
| Timeline |
Clean Air Lagged Returns
When evaluating Clean Air's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Clean Air otc stock have on its future price. Clean Air 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, Clean Air autocorrelation shows the relationship between Clean Air otc stock current value and its past values and can show if there is a momentum factor associated with investing in Clean Air Metals.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Clean OTC Stock
Clean Air financial ratios help investors to determine whether Clean OTC Stock 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 Clean with respect to the benefits of owning Clean Air security.