Silver Storm Mining Stock Market Value
| SVRS Stock | 0.21 0.05 31.25% |
| Symbol | Silver |
Silver Storm Mining Price To Book Ratio
Silver Storm '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 Storm's stock 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 Storm.
| 04/24/2025 |
| 07/23/2025 |
If you would invest 0.00 in Silver Storm on April 24, 2025 and sell it all today you would earn a total of 0.00 from holding Silver Storm Mining or generate 0.0% return on investment in Silver Storm over 90 days. Silver Storm is related to or competes with Data Communications, T2 Metals, High Liner, Cogeco Communications, Storage Vault, and Western Copper. Silver Storm is entity of Canada. It is traded as Stock on V exchange. More
Silver Storm 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 Storm's stock 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 Storm Mining upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 9.14 | |||
| Information Ratio | 0.091 | |||
| Maximum Drawdown | 49.52 | |||
| Value At Risk | (7.69) | |||
| Potential Upside | 16.67 |
Silver Storm Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Silver Storm's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Silver Storm's standard deviation. In reality, there are many statistical measures that can use Silver Storm historical prices to predict the future Silver Storm's volatility.| Risk Adjusted Performance | 0.1103 | |||
| Jensen Alpha | 0.9036 | |||
| Total Risk Alpha | (0.63) | |||
| Sortino Ratio | 0.083 | |||
| Treynor Ratio | 6.66 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Silver Storm'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.
Silver Storm Mining Backtested Returns
Silver Storm is out of control given 3 months investment horizon. Silver Storm Mining owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the firm had a 0.13 % return per unit of risk over the last 3 months. We were able to interpolate data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.09% are justified by taking the suggested risk. Use Silver Storm Mining Semi Deviation of 4.96, coefficient of variation of 890.0, and Risk Adjusted Performance of 0.1103 to evaluate company specific risk that cannot be diversified away. Silver Storm holds a performance score of 10 on a scale of zero to a hundred. The entity has a beta of 0.14, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Silver Storm's returns are expected to increase less than the market. However, during the bear market, the loss of holding Silver Storm is expected to be smaller as well. Use Silver Storm Mining sortino ratio, maximum drawdown, and the relationship between the total risk alpha and treynor ratio , to analyze future returns on Silver Storm Mining.
Auto-correlation | -0.21 |
Weak reverse predictability
Silver Storm Mining has weak reverse predictability. Overlapping area represents the amount of predictability between Silver Storm time series from 24th of April 2025 to 8th of June 2025 and 8th of June 2025 to 23rd of July 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 Silver Storm Mining price movement. The serial correlation of -0.21 indicates that over 21.0% of current Silver Storm price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.21 | |
| Spearman Rank Test | 0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Silver Storm Mining lagged returns against current returns
Autocorrelation, which is Silver Storm stock'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 Storm's stock expected returns. We can calculate the autocorrelation of Silver Storm returns to help us make a trade decision. For example, suppose you find that Silver Storm has exhibited high autocorrelation historically, and you observe that the stock 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 Storm 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 Storm stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Silver Storm stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Silver Storm stock over time.
Current vs Lagged Prices |
| Timeline |
Silver Storm Lagged Returns
When evaluating Silver Storm's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Silver Storm stock have on its future price. Silver Storm 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 Storm autocorrelation shows the relationship between Silver Storm stock current value and its past values and can show if there is a momentum factor associated with investing in Silver Storm Mining.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Silver Stock Analysis
When running Silver Storm's price analysis, check to measure Silver Storm's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Silver Storm is operating at the current time. Most of Silver Storm's value examination focuses on studying past and present price action to predict the probability of Silver Storm's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Silver Storm's price. Additionally, you may evaluate how the addition of Silver Storm to your portfolios can decrease your overall portfolio volatility.