Cleantech Biofuels Stock Market Value
CLTH Stock | USD 0.0001 0.00 0.00% |
Symbol | Cleantech |
Cleantech Biofuels '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 Cleantech Biofuels' 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 Cleantech Biofuels.
12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Cleantech Biofuels on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Cleantech Biofuels or generate 0.0% return on investment in Cleantech Biofuels over 90 days. Cleantech Biofuels is related to or competes with Perimeter Solutions, RPM International, Sasol, International Flavors, Sherwin Williams, Flexible Solutions, and Orion Engineered. Cleantech Biofuels, Inc., a development stage company, focuses on providing cellulosic biomass derived from municipal so... More
Cleantech Biofuels 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 Cleantech Biofuels' 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 Cleantech Biofuels upside and downside potential and time the market with a certain degree of confidence.
Cleantech Biofuels Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cleantech Biofuels' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cleantech Biofuels' standard deviation. In reality, there are many statistical measures that can use Cleantech Biofuels historical prices to predict the future Cleantech Biofuels' volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cleantech Biofuels' 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.
Cleantech Biofuels Backtested Returns
We have found three technical indicators for Cleantech Biofuels, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and Cleantech Biofuels are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
Cleantech Biofuels has perfect predictability. Overlapping area represents the amount of predictability between Cleantech Biofuels time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 Cleantech Biofuels price movement. The serial correlation of 1.0 indicates that 100.0% of current Cleantech Biofuels price fluctuation can be explain by its past prices.
Correlation Coefficient | 1.0 | |
Spearman Rank Test | 1.0 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Cleantech Biofuels lagged returns against current returns
Autocorrelation, which is Cleantech Biofuels 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 Cleantech Biofuels' pink sheet expected returns. We can calculate the autocorrelation of Cleantech Biofuels returns to help us make a trade decision. For example, suppose you find that Cleantech Biofuels 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 |
Cleantech Biofuels 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 Cleantech Biofuels pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cleantech Biofuels pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cleantech Biofuels pink sheet over time.
Current vs Lagged Prices |
Timeline |
Cleantech Biofuels Lagged Returns
When evaluating Cleantech Biofuels' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cleantech Biofuels pink sheet have on its future price. Cleantech Biofuels 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, Cleantech Biofuels autocorrelation shows the relationship between Cleantech Biofuels pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Cleantech Biofuels.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Cleantech Pink Sheet
Cleantech Biofuels financial ratios help investors to determine whether Cleantech 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 Cleantech with respect to the benefits of owning Cleantech Biofuels security.