Search Minerals Stock Market Value
| SHCMF Stock | USD 0.32 0.01 3.03% |
| Symbol | Search |
Search Minerals '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 Search Minerals' 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 Search Minerals.
| 12/06/2025 |
| 01/05/2026 |
If you would invest 0.00 in Search Minerals on December 6, 2025 and sell it all today you would earn a total of 0.00 from holding Search Minerals or generate 0.0% return on investment in Search Minerals over 30 days. Search Minerals is related to or competes with Vulcan Minerals, Grid Metals, TNR Gold, Taranis Resources, and Strategic Resources. Search Minerals Inc. engages in the acquisition, evaluation, and exploration of mineral resource properties in Canada More
Search Minerals 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 Search Minerals' 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 Search Minerals upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 9.05 | |||
| Information Ratio | 0.047 | |||
| Maximum Drawdown | 41.62 | |||
| Value At Risk | (12.12) | |||
| Potential Upside | 16.22 |
Search Minerals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Search Minerals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Search Minerals' standard deviation. In reality, there are many statistical measures that can use Search Minerals historical prices to predict the future Search Minerals' volatility.| Risk Adjusted Performance | 0.0487 | |||
| Jensen Alpha | 0.3945 | |||
| Total Risk Alpha | (0.18) | |||
| Sortino Ratio | 0.0384 | |||
| Treynor Ratio | 2.67 |
Search Minerals Backtested Returns
At this point, Search Minerals is out of control. Search Minerals owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0221, which indicates the firm had a 0.0221 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Search Minerals, which you can use to evaluate the volatility of the company. Please validate Search Minerals' Semi Deviation of 5.4, risk adjusted performance of 0.0487, and Coefficient Of Variation of 1787.32 to confirm if the risk estimate we provide is consistent with the expected return of 0.16%. Search Minerals has a performance score of 1 on a scale of 0 to 100. The entity has a beta of 0.15, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Search Minerals' returns are expected to increase less than the market. However, during the bear market, the loss of holding Search Minerals is expected to be smaller as well. Search Minerals right now has a risk of 7.3%. Please validate Search Minerals information ratio, downside variance, day typical price, as well as the relationship between the treynor ratio and kurtosis , to decide if Search Minerals will be following its existing price patterns.
Auto-correlation | 0.38 |
Below average predictability
Search Minerals has below average predictability. Overlapping area represents the amount of predictability between Search Minerals time series from 6th of December 2025 to 21st of December 2025 and 21st of December 2025 to 5th 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 Search Minerals price movement. The serial correlation of 0.38 indicates that just about 38.0% of current Search Minerals price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.38 | |
| Spearman Rank Test | 0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Search Minerals lagged returns against current returns
Autocorrelation, which is Search Minerals 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 Search Minerals' pink sheet expected returns. We can calculate the autocorrelation of Search Minerals returns to help us make a trade decision. For example, suppose you find that Search Minerals 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 |
Search Minerals 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 Search Minerals pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Search Minerals pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Search Minerals pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Search Minerals Lagged Returns
When evaluating Search Minerals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Search Minerals pink sheet have on its future price. Search Minerals 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, Search Minerals autocorrelation shows the relationship between Search Minerals pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Search Minerals.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Search Pink Sheet
Search Minerals financial ratios help investors to determine whether Search 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 Search with respect to the benefits of owning Search Minerals security.