Canada Computational Unlimited Stock Market Value
| CCPUF Stock | USD 0.1 0 2.04% |
| 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.
| 07/28/2024 |
| 01/19/2026 |
If you would invest 0.00 in Canada Computational on July 28, 2024 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 540 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 | (0.14) | |||
| Maximum Drawdown | 36.18 | |||
| Value At Risk | (8.33) |
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 | (0.08) | |||
| Jensen Alpha | (0.70) | |||
| Total Risk Alpha | (1.19) | |||
| Treynor Ratio | (0.45) |
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 secures Sharpe Ratio (or Efficiency) of -0.0851, which signifies that the company had a -0.0851 % return per unit of risk over the last 3 months. Canada Computational Unlimited exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Canada Computational's Mean Deviation of 1.88, risk adjusted performance of (0.08), and Standard Deviation of 4.7 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.28, which signifies 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, Canada Computational will likely underperform. At this point, Canada Computational has a negative expected return of -0.38%. Please make sure to confirm Canada Computational's value at risk, as well as the relationship between the rate of daily change and period momentum indicator , to decide if Canada Computational performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.10 |
Insignificant predictability
Canada Computational Unlimited has insignificant predictability. Overlapping area represents the amount of predictability between Canada Computational time series from 28th of July 2024 to 24th of April 2025 and 24th of April 2025 to 19th 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 Canada Computational price movement. The serial correlation of 0.1 indicates that less than 10.0% of current Canada Computational price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.1 | |
| Spearman Rank Test | 0.13 | |
| 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 |
Currently Active Assets on Macroaxis
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.