Canada Computational Unlimited Stock Market Value
| CCPUF Stock | USD 0.11 0.00 0.00% |
| Symbol | Canada |
Canada Computational '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 Canada Computational'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 Canada Computational.
| 11/27/2025 |
| 12/27/2025 |
If you would invest 0.00 in Canada Computational on November 27, 2025 and sell it all today you would earn a total of 0.00 from holding Canada Computational Unlimited or generate 0.0% return on investment in Canada Computational over 30 days. Canada Computational is related to or competes with Trustco Group. Canada Computational Unlimited Corp. engages in the cryptocurrency mining in Quebec, Canada More
Canada Computational 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 Canada Computational'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 Canada Computational Unlimited upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0711 | |||
| Maximum Drawdown | 82.01 | |||
| Value At Risk | (7.69) |
Canada Computational Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Canada Computational's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Canada Computational's standard deviation. In reality, there are many statistical measures that can use Canada Computational historical prices to predict the future Canada Computational's volatility.| Risk Adjusted Performance | 0.0655 | |||
| Jensen Alpha | 0.7064 | |||
| Total Risk Alpha | (0.19) | |||
| Treynor Ratio | (50.39) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Canada Computational'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.
Canada Computational Backtested Returns
Canada Computational appears to be out of control, given 3 months investment horizon. Canada Computational secures Sharpe Ratio (or Efficiency) of 0.0813, which signifies that the company had a 0.0813 % return per unit of risk over the last 3 months. By analyzing Canada Computational's technical indicators, you can evaluate if the expected return of 0.74% is justified by implied risk. Please makes use of Canada Computational's Mean Deviation of 2.51, standard deviation of 8.94, and Risk Adjusted Performance of 0.0655 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Canada Computational holds a performance score of 6. The firm shows a Beta (market volatility) of -0.014, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Canada Computational are expected to decrease at a much lower rate. During the bear market, Canada Computational is likely to outperform the market. Please check Canada Computational's variance, value at risk, as well as the relationship between the Value At Risk and day median price , to make a quick decision on whether Canada Computational's price patterns will revert.
Auto-correlation | 0.00 |
No correlation between past and present
Canada Computational Unlimited has no correlation between past and present. Overlapping area represents the amount of predictability between Canada Computational time series from 27th of November 2025 to 12th of December 2025 and 12th of December 2025 to 27th of December 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 Canada Computational price movement. The serial correlation of 0.0 indicates that just 0.0% of current Canada Computational price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | -0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Canada Computational lagged returns against current returns
Autocorrelation, which is Canada Computational 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 Canada Computational's otc stock expected returns. We can calculate the autocorrelation of Canada Computational returns to help us make a trade decision. For example, suppose you find that Canada Computational 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 |
Canada Computational 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 Canada Computational otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Canada Computational otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Canada Computational otc stock over time.
Current vs Lagged Prices |
| Timeline |
Canada Computational Lagged Returns
When evaluating Canada Computational's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Canada Computational otc stock have on its future price. Canada Computational 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, Canada Computational autocorrelation shows the relationship between Canada Computational otc stock current value and its past values and can show if there is a momentum factor associated with investing in Canada Computational Unlimited.
Regressed Prices |
| Timeline |
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Other Information on Investing in Canada OTC Stock
Canada Computational financial ratios help investors to determine whether Canada 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 Canada with respect to the benefits of owning Canada Computational security.