American Lithium Minerals Stock Market Value
| AMLM Stock | USD 0.03 0.01 30.79% |
| Symbol | American |
American Lithium '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 American Lithium'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 American Lithium.
| 12/09/2022 |
| 11/28/2024 |
If you would invest 0.00 in American Lithium on December 9, 2022 and sell it all today you would earn a total of 0.00 from holding American Lithium Minerals or generate 0.0% return on investment in American Lithium over 720 days. American Lithium is related to or competes with Aurelia Metals, Adriatic Metals, American Helium, Azimut Exploration, and Critical Elements. American Lithium Minerals, Inc., engages in mineral exploration for lithium and rare earth minerals in the United States More
American Lithium 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 American Lithium'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 American Lithium Minerals upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 14.02 | |||
| Information Ratio | 0.0913 | |||
| Maximum Drawdown | 60.95 | |||
| Value At Risk | (19.44) | |||
| Potential Upside | 23.08 |
American Lithium Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for American Lithium's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as American Lithium's standard deviation. In reality, there are many statistical measures that can use American Lithium historical prices to predict the future American Lithium's volatility.| Risk Adjusted Performance | 0.0866 | |||
| Jensen Alpha | 1.72 | |||
| Total Risk Alpha | (0.78) | |||
| Sortino Ratio | 0.0885 | |||
| Treynor Ratio | (0.45) |
American Lithium Minerals Backtested Returns
American Lithium is out of control given 3 months investment horizon. American Lithium Minerals secures Sharpe Ratio (or Efficiency) of 0.0976, which signifies that the company had a 0.0976% return per unit of standard deviation over the last 3 months. We were able to break down and interpolate thirty different technical indicators, which can help you to evaluate if expected returns of 1.36% are justified by taking the suggested risk. Use American Lithium mean deviation of 10.27, and Risk Adjusted Performance of 0.0866 to evaluate company specific risk that cannot be diversified away. American Lithium holds a performance score of 7 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -3.0, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning American Lithium are expected to decrease by larger amounts. On the other hand, during market turmoil, American Lithium is expected to outperform it. Use American Lithium standard deviation, expected short fall, period momentum indicator, as well as the relationship between the maximum drawdown and rate of daily change , to analyze future returns on American Lithium.
Auto-correlation | 0.32 |
Below average predictability
American Lithium Minerals has below average predictability. Overlapping area represents the amount of predictability between American Lithium time series from 9th of December 2022 to 4th of December 2023 and 4th of December 2023 to 28th of November 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 American Lithium Minerals price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current American Lithium price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | 0.32 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
American Lithium Minerals lagged returns against current returns
Autocorrelation, which is American Lithium 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 American Lithium's pink sheet expected returns. We can calculate the autocorrelation of American Lithium returns to help us make a trade decision. For example, suppose you find that American Lithium 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 |
American Lithium 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 American Lithium pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if American Lithium pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in American Lithium pink sheet over time.
Current vs Lagged Prices |
| Timeline |
American Lithium Lagged Returns
When evaluating American Lithium's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of American Lithium pink sheet have on its future price. American Lithium 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, American Lithium autocorrelation shows the relationship between American Lithium pink sheet current value and its past values and can show if there is a momentum factor associated with investing in American Lithium Minerals.
Regressed Prices |
| Timeline |
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American Lithium financial ratios help investors to determine whether American 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 American with respect to the benefits of owning American Lithium security.