Silver Mines Limited Stock Market Value

SLVMF Stock  USD 0.15  0.01  6.25%   
Silver Mines' market value is the price at which a share of Silver Mines trades on a public exchange. It measures the collective expectations of Silver Mines Limited investors about its performance. Silver Mines is trading at 0.15 as of the 1st of January 2026. This is a 6.25 percent decrease since the beginning of the trading day. The stock's lowest day price was 0.15.
With this module, you can estimate the performance of a buy and hold strategy of Silver Mines Limited and determine expected loss or profit from investing in Silver Mines over a given investment horizon. Check out Silver Mines Correlation, Silver Mines Volatility and Silver Mines Alpha and Beta module to complement your research on Silver Mines.
Symbol

Please note, there is a significant difference between Silver Mines' value and its price as these two are different measures arrived at by different means. Investors typically determine if Silver Mines is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Silver Mines' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Silver Mines '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 Silver Mines' 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 Silver Mines.
0.00
10/03/2025
No Change 0.00  0.0 
In 3 months and 1 day
01/01/2026
0.00
If you would invest  0.00  in Silver Mines on October 3, 2025 and sell it all today you would earn a total of 0.00 from holding Silver Mines Limited or generate 0.0% return on investment in Silver Mines over 90 days. Silver Mines is related to or competes with Meridian Mining, Jaguar Mining, Ioneer, Aurelia Metals, Lotus Resources, Ecora Resources, and Goliath Resources. Silver Mines Limited primarily engages in the acquisition, exploration, and development of silver projects in Australia More

Silver Mines 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 Silver Mines' 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 Silver Mines Limited upside and downside potential and time the market with a certain degree of confidence.

Silver Mines Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Silver Mines' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Silver Mines' standard deviation. In reality, there are many statistical measures that can use Silver Mines historical prices to predict the future Silver Mines' volatility.
Hype
Prediction
LowEstimatedHigh
0.010.1517.81
Details
Intrinsic
Valuation
LowRealHigh
0.010.1417.80
Details
Naive
Forecast
LowNextHigh
00.1517.82
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.110.140.17
Details

Silver Mines Limited Backtested Returns

Silver Mines is out of control given 3 months investment horizon. Silver Mines Limited owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0744, which indicates the firm had a 0.0744 % return per unit of risk over the last 3 months. We have collected data for thirty different technical indicators, which can help you to evaluate if expected returns of 1.31% are justified by taking the suggested risk. Use Silver Mines Limited Coefficient Of Variation of 1344.38, risk adjusted performance of 0.0621, and Semi Deviation of 11.09 to evaluate company specific risk that cannot be diversified away. Silver Mines holds a performance score of 5 on a scale of zero to a hundred. The entity has a beta of 7.22, which indicates 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, Silver Mines will likely underperform. Use Silver Mines Limited treynor ratio, kurtosis, period momentum indicator, as well as the relationship between the downside variance and day median price , to analyze future returns on Silver Mines Limited.

Auto-correlation

    
  -0.31  

Poor reverse predictability

Silver Mines Limited has poor reverse predictability. Overlapping area represents the amount of predictability between Silver Mines time series from 3rd of October 2025 to 17th of November 2025 and 17th of November 2025 to 1st 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 Silver Mines Limited price movement. The serial correlation of -0.31 indicates that nearly 31.0% of current Silver Mines price fluctuation can be explain by its past prices.
Correlation Coefficient-0.31
Spearman Rank Test-0.33
Residual Average0.0
Price Variance0.0

Silver Mines Limited lagged returns against current returns

Autocorrelation, which is Silver Mines 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 Silver Mines' pink sheet expected returns. We can calculate the autocorrelation of Silver Mines returns to help us make a trade decision. For example, suppose you find that Silver Mines 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  

Silver Mines 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 Silver Mines pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Silver Mines pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Silver Mines pink sheet over time.
   Current vs Lagged Prices   
       Timeline  

Silver Mines Lagged Returns

When evaluating Silver Mines' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Silver Mines pink sheet have on its future price. Silver Mines 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, Silver Mines autocorrelation shows the relationship between Silver Mines pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Silver Mines Limited.
   Regressed Prices   
       Timeline  

Currently Active Assets on Macroaxis

Other Information on Investing in Silver Pink Sheet

Silver Mines financial ratios help investors to determine whether Silver 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 Silver with respect to the benefits of owning Silver Mines security.