Gpm Metals Stock Market Value
| GPMTF Stock | USD 0.12 0.01 9.09% |
| Symbol | GPM |
GPM Metals '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 GPM Metals' 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 GPM Metals.
| 08/08/2025 |
| 11/06/2025 |
If you would invest 0.00 in GPM Metals on August 8, 2025 and sell it all today you would earn a total of 0.00 from holding GPM Metals or generate 0.0% return on investment in GPM Metals over 90 days. GPM Metals is related to or competes with Fokus Mining, Latin Metals, Mundoro Capital, Churchill Resources, Taranis Resources, and Aton Resources. GPM Metals Inc., together with its subsidiaries, operates as a junior mineral exploration company More
GPM Metals 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 GPM Metals' 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 GPM Metals upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1226 | |||
| Maximum Drawdown | 3498.1 |
GPM Metals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GPM Metals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GPM Metals' standard deviation. In reality, there are many statistical measures that can use GPM Metals historical prices to predict the future GPM Metals' volatility.| Risk Adjusted Performance | 0.0837 | |||
| Jensen Alpha | 51.6 | |||
| Total Risk Alpha | (17.29) | |||
| Treynor Ratio | 5.35 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of GPM Metals' 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.
GPM Metals Backtested Returns
GPM Metals is out of control given 3 months investment horizon. GPM Metals holds Efficiency (Sharpe) Ratio of 0.12, which attests that the entity had a 0.12 % return per unit of risk over the last 3 months. We were able to interpolate and analyze data for twenty different technical indicators, which can help you to evaluate if expected returns of 15.6% are justified by taking the suggested risk. Use GPM Metals Market Risk Adjusted Performance of 5.36, coefficient of variation of 813.69, and Risk Adjusted Performance of 0.0837 to evaluate company specific risk that cannot be diversified away. GPM Metals holds a performance score of 9 on a scale of zero to a hundred. The company retains a Market Volatility (i.e., Beta) of 9.82, which attests to 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, GPM Metals will likely underperform. Use GPM Metals variance, kurtosis, as well as the relationship between the Kurtosis and price action indicator , to analyze future returns on GPM Metals.
Auto-correlation | 0.06 |
Virtually no predictability
GPM Metals has virtually no predictability. Overlapping area represents the amount of predictability between GPM Metals time series from 8th of August 2025 to 22nd of September 2025 and 22nd of September 2025 to 6th of November 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 GPM Metals price movement. The serial correlation of 0.06 indicates that barely 6.0% of current GPM Metals price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.06 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
GPM Metals lagged returns against current returns
Autocorrelation, which is GPM Metals 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 GPM Metals' pink sheet expected returns. We can calculate the autocorrelation of GPM Metals returns to help us make a trade decision. For example, suppose you find that GPM Metals 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 |
GPM Metals 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 GPM Metals pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GPM Metals pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GPM Metals pink sheet over time.
Current vs Lagged Prices |
| Timeline |
GPM Metals Lagged Returns
When evaluating GPM Metals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GPM Metals pink sheet have on its future price. GPM Metals 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, GPM Metals autocorrelation shows the relationship between GPM Metals pink sheet current value and its past values and can show if there is a momentum factor associated with investing in GPM Metals.
Regressed Prices |
| Timeline |
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Other Information on Investing in GPM Pink Sheet
GPM Metals financial ratios help investors to determine whether GPM 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 GPM with respect to the benefits of owning GPM Metals security.