S2 Minerals Stock Market Value
| SMNRF Stock | USD 0.10 0.00 0.00% |
| Symbol | SMNRF |
S2 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 S2 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 S2 Minerals.
| 10/22/2024 |
| 01/15/2026 |
If you would invest 0.00 in S2 Minerals on October 22, 2024 and sell it all today you would earn a total of 0.00 from holding S2 Minerals or generate 0.0% return on investment in S2 Minerals over 450 days. S2 Minerals is related to or competes with Brigadier Gold. It holds interest in the Sandy Lake property that consists 3,225 cell mining claims located to the north of Red Lake, no... More
S2 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 S2 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 S2 Minerals upside and downside potential and time the market with a certain degree of confidence.
S2 Minerals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for S2 Minerals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as S2 Minerals' standard deviation. In reality, there are many statistical measures that can use S2 Minerals historical prices to predict the future S2 Minerals' volatility.S2 Minerals Backtested Returns
We have found three technical indicators for S2 Minerals, which you can use to evaluate the volatility of the entity. The firm owns a Beta (Systematic Risk) of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and S2 Minerals are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
S2 Minerals has perfect predictability. Overlapping area represents the amount of predictability between S2 Minerals time series from 22nd of October 2024 to 4th of June 2025 and 4th of June 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 S2 Minerals price movement. The serial correlation of 1.0 indicates that 100.0% of current S2 Minerals price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
S2 Minerals lagged returns against current returns
Autocorrelation, which is S2 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 S2 Minerals' pink sheet expected returns. We can calculate the autocorrelation of S2 Minerals returns to help us make a trade decision. For example, suppose you find that S2 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 |
S2 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 S2 Minerals pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if S2 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 S2 Minerals pink sheet over time.
Current vs Lagged Prices |
| Timeline |
S2 Minerals Lagged Returns
When evaluating S2 Minerals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of S2 Minerals pink sheet have on its future price. S2 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, S2 Minerals autocorrelation shows the relationship between S2 Minerals pink sheet current value and its past values and can show if there is a momentum factor associated with investing in S2 Minerals.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in SMNRF Pink Sheet
S2 Minerals financial ratios help investors to determine whether SMNRF 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 SMNRF with respect to the benefits of owning S2 Minerals security.