Surge Copper Corp Stock Market Value
| SRGXF Stock | USD 0.07 0 3.61% |
| Symbol | Surge |
Surge Copper '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 Surge Copper's otc 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 Surge Copper.
| 05/31/2024 |
| 11/27/2024 |
If you would invest 0.00 in Surge Copper on May 31, 2024 and sell it all today you would earn a total of 0.00 from holding Surge Copper Corp or generate 0.0% return on investment in Surge Copper over 180 days. Surge Copper is related to or competes with Ameriwest Lithium, and Osisko Metals. Surge Copper Corp. engages in the acquisition, exploration, and development of mineral properties in Canada More
Surge Copper 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 Surge Copper's otc 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 Surge Copper Corp upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 26.13 | |||
| Value At Risk | (9.54) | |||
| Potential Upside | 7.61 |
Surge Copper Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Surge Copper's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Surge Copper's standard deviation. In reality, there are many statistical measures that can use Surge Copper historical prices to predict the future Surge Copper's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.58) | |||
| Total Risk Alpha | (1.41) | |||
| Treynor Ratio | (26.02) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Surge Copper'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.
Surge Copper Corp Backtested Returns
Surge Copper Corp owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0821, which indicates the firm had a -0.0821% return per unit of risk over the last 3 months. Surge Copper Corp exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Surge Copper's Variance of 28.41, coefficient of variation of (943.23), and Risk Adjusted Performance of (0.07) to confirm the risk estimate we provide. The entity has a beta of 0.0221, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Surge Copper's returns are expected to increase less than the market. However, during the bear market, the loss of holding Surge Copper is expected to be smaller as well. At this point, Surge Copper Corp has a negative expected return of -0.44%. Please make sure to validate Surge Copper's treynor ratio, daily balance of power, as well as the relationship between the Daily Balance Of Power and period momentum indicator , to decide if Surge Copper Corp performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.50 |
Modest predictability
Surge Copper Corp has modest predictability. Overlapping area represents the amount of predictability between Surge Copper time series from 31st of May 2024 to 29th of August 2024 and 29th of August 2024 to 27th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Surge Copper Corp price movement. The serial correlation of 0.5 indicates that about 50.0% of current Surge Copper price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.5 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Surge Copper Corp lagged returns against current returns
Autocorrelation, which is Surge Copper otc 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 Surge Copper's otc stock expected returns. We can calculate the autocorrelation of Surge Copper returns to help us make a trade decision. For example, suppose you find that Surge Copper has exhibited high autocorrelation historically, and you observe that the otc 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 |
Surge Copper 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 Surge Copper otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Surge Copper otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Surge Copper otc stock over time.
Current vs Lagged Prices |
| Timeline |
Surge Copper Lagged Returns
When evaluating Surge Copper's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Surge Copper otc stock have on its future price. Surge Copper 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, Surge Copper autocorrelation shows the relationship between Surge Copper otc stock current value and its past values and can show if there is a momentum factor associated with investing in Surge Copper Corp.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Surge OTC Stock
Surge Copper financial ratios help investors to determine whether Surge OTC Stock 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 Surge with respect to the benefits of owning Surge Copper security.