Full Metal Minerals Stock Market Value
| FLMTF Stock | USD 0.04 0.03 215.70% |
| Symbol | Full |
Full Metal '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 Full Metal'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 Full Metal.
| 12/16/2025 |
| 01/15/2026 |
If you would invest 0.00 in Full Metal on December 16, 2025 and sell it all today you would earn a total of 0.00 from holding Full Metal Minerals or generate 0.0% return on investment in Full Metal over 30 days. Full Metal is related to or competes with Ameriwest Lithium, and Vanadiumcorp Resource. Full Metal Minerals Ltd., an exploration stage company, engages in the acquisition and exploration of mineral properties... More
Full Metal 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 Full Metal'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 Full Metal Minerals upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1232 | |||
| Maximum Drawdown | 199.57 | |||
| Value At Risk | (14.03) | |||
| Potential Upside | 3.27 |
Full Metal Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Full Metal's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Full Metal's standard deviation. In reality, there are many statistical measures that can use Full Metal historical prices to predict the future Full Metal's volatility.| Risk Adjusted Performance | 0.0992 | |||
| Jensen Alpha | 4.89 | |||
| Total Risk Alpha | (1.06) | |||
| Treynor Ratio | (1.29) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Full Metal'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.
Full Metal Minerals Backtested Returns
Full Metal is out of control given 3 months investment horizon. Full Metal Minerals secures Sharpe Ratio (or Efficiency) of 0.0931, which denotes the company had a 0.0931 % return per unit of risk over the last 3 months. We were able to interpolate and analyze data for twenty-one different technical indicators, which can help you to evaluate if expected returns of 3.26% are justified by taking the suggested risk. Use Full Metal Mean Deviation of 13.4, variance of 1270.83, and Standard Deviation of 35.65 to evaluate company specific risk that cannot be diversified away. Full Metal holds a performance score of 7 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -3.49, which means a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Full Metal are expected to decrease by larger amounts. On the other hand, during market turmoil, Full Metal is expected to outperform it. Use Full Metal total risk alpha, as well as the relationship between the kurtosis and day typical price , to analyze future returns on Full Metal.
Auto-correlation | -0.48 |
Modest reverse predictability
Full Metal Minerals has modest reverse predictability. Overlapping area represents the amount of predictability between Full Metal time series from 16th of December 2025 to 31st of December 2025 and 31st of December 2025 to 15th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Full Metal Minerals price movement. The serial correlation of -0.48 indicates that about 48.0% of current Full Metal price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.48 | |
| Spearman Rank Test | -0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Full Metal Minerals lagged returns against current returns
Autocorrelation, which is Full Metal 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 Full Metal's pink sheet expected returns. We can calculate the autocorrelation of Full Metal returns to help us make a trade decision. For example, suppose you find that Full Metal 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 |
Full Metal 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 Full Metal pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Full Metal pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Full Metal pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Full Metal Lagged Returns
When evaluating Full Metal's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Full Metal pink sheet have on its future price. Full Metal 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, Full Metal autocorrelation shows the relationship between Full Metal pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Full Metal Minerals.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Full Pink Sheet
Full Metal financial ratios help investors to determine whether Full 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 Full with respect to the benefits of owning Full Metal security.