Clear Blue Technologies Stock Market Value
| CBUTF Stock | USD 0.01 0.0009 5.66% |
| Symbol | Clear |
Clear Blue '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 Clear Blue's 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 Clear Blue.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Clear Blue on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Clear Blue Technologies or generate 0.0% return on investment in Clear Blue over 30 days. Clear Blue is related to or competes with GCL Poly, SPI Energy, Ascent Solar, Emeren, VivoPower International, and Tigo Energy. Clear Blue Technologies International Inc., a smart off-grid company, develops and sells off-grid power solutions to the... More
Clear Blue 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 Clear Blue's 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 Clear Blue Technologies upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 130.81 | |||
| Value At Risk | (17.71) |
Clear Blue Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Clear Blue's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Clear Blue's standard deviation. In reality, there are many statistical measures that can use Clear Blue historical prices to predict the future Clear Blue's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.70) | |||
| Total Risk Alpha | (3.01) | |||
| Treynor Ratio | (0.19) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Clear Blue'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.
Clear Blue Technologies Backtested Returns
Clear Blue Technologies secures Sharpe Ratio (or Efficiency) of -0.0258, which signifies that the company had a -0.0258% return per unit of standard deviation over the last 3 months. Clear Blue Technologies exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Clear Blue's risk adjusted performance of (0.01), and Mean Deviation of 4.37 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 2.28, 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, Clear Blue will likely underperform. At this point, Clear Blue Technologies has a negative expected return of -0.44%. Please make sure to confirm Clear Blue's variance and the relationship between the value at risk and period momentum indicator , to decide if Clear Blue Technologies performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.34 |
Below average predictability
Clear Blue Technologies has below average predictability. Overlapping area represents the amount of predictability between Clear Blue time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 Clear Blue Technologies price movement. The serial correlation of 0.34 indicates that nearly 34.0% of current Clear Blue price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.34 | |
| Spearman Rank Test | -0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Clear Blue Technologies lagged returns against current returns
Autocorrelation, which is Clear Blue 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 Clear Blue's pink sheet expected returns. We can calculate the autocorrelation of Clear Blue returns to help us make a trade decision. For example, suppose you find that Clear Blue 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 |
Clear Blue 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 Clear Blue pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Clear Blue pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Clear Blue pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Clear Blue Lagged Returns
When evaluating Clear Blue's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Clear Blue pink sheet have on its future price. Clear Blue 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, Clear Blue autocorrelation shows the relationship between Clear Blue pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Clear Blue Technologies.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Clear Pink Sheet
Clear Blue financial ratios help investors to determine whether Clear 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 Clear with respect to the benefits of owning Clear Blue security.