Clean Seas Seafood Stock Market Value
| CTUNF Stock | USD 0.07 0.00 0.00% |
| Symbol | Clean |
Clean Seas '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 Clean Seas' 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 Clean Seas.
| 01/04/2023 |
| 12/24/2024 |
If you would invest 0.00 in Clean Seas on January 4, 2023 and sell it all today you would earn a total of 0.00 from holding Clean Seas Seafood or generate 0.0% return on investment in Clean Seas over 720 days. Clean Seas is related to or competes with Brasilagro Adr, Alico, Edible Garden, Vital Farms, Local Bounti, Global Clean, and Limoneira. Clean Seas Seafood Limited, together with its subsidiaries, operates in the aquaculture industry in Australia, Europe, a... More
Clean Seas 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 Clean Seas' 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 Clean Seas Seafood upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 50.0 |
Clean Seas Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Clean Seas' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Clean Seas' standard deviation. In reality, there are many statistical measures that can use Clean Seas historical prices to predict the future Clean Seas' volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.79) | |||
| Total Risk Alpha | (0.95) | |||
| Treynor Ratio | (0.97) |
Clean Seas Seafood Backtested Returns
Clean Seas Seafood secures Sharpe Ratio (or Efficiency) of -0.13, which signifies that the company had a -0.13% return per unit of standard deviation over the last 3 months. Clean Seas Seafood exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Clean Seas' mean deviation of 1.49, and Risk Adjusted Performance of (0.09) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.79, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Clean Seas' returns are expected to increase less than the market. However, during the bear market, the loss of holding Clean Seas is expected to be smaller as well. At this point, Clean Seas Seafood has a negative expected return of -0.79%. Please make sure to confirm Clean Seas' variance, as well as the relationship between the skewness and day typical price , to decide if Clean Seas Seafood performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.33 |
Below average predictability
Clean Seas Seafood has below average predictability. Overlapping area represents the amount of predictability between Clean Seas time series from 4th of January 2023 to 30th of December 2023 and 30th of December 2023 to 24th of December 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 Clean Seas Seafood price movement. The serial correlation of 0.33 indicates that nearly 33.0% of current Clean Seas price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.33 | |
| Spearman Rank Test | -0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Clean Seas Seafood lagged returns against current returns
Autocorrelation, which is Clean Seas 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 Clean Seas' pink sheet expected returns. We can calculate the autocorrelation of Clean Seas returns to help us make a trade decision. For example, suppose you find that Clean Seas 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 |
Clean Seas 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 Clean Seas pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Clean Seas pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Clean Seas pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Clean Seas Lagged Returns
When evaluating Clean Seas' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Clean Seas pink sheet have on its future price. Clean Seas 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, Clean Seas autocorrelation shows the relationship between Clean Seas pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Clean Seas Seafood.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Clean Pink Sheet
Clean Seas financial ratios help investors to determine whether Clean 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 Clean with respect to the benefits of owning Clean Seas security.