Clean Seas (Australia) Market Value
| CSS Stock | 0.14 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' 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 Clean Seas.
| 04/01/2025 |
| 06/30/2025 |
If you would invest 0.00 in Clean Seas on April 1, 2025 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 90 days. Clean Seas is related to or competes with Metals X, Polymetals Resources, MAC Copper, BKI Investment, Catalyst Metals, and Sandon Capital. Clean Seas is entity of Australia. It is traded as Stock on AU exchange. 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' 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 Clean Seas Seafood upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0348 | |||
| Maximum Drawdown | 14.84 | |||
| Potential Upside | 7.69 |
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 | 0.0985 | |||
| Jensen Alpha | 0.1516 | |||
| Total Risk Alpha | 0.0625 | |||
| Treynor Ratio | (0.30) |
Clean Seas Seafood Backtested Returns
Currently, Clean Seas Seafood is out of control. Clean Seas Seafood secures Sharpe Ratio (or Efficiency) of 0.0115, which signifies that the company had a 0.0115 % return per unit of standard deviation over the last 3 months. We have found eighteen technical indicators for Clean Seas Seafood, which you can use to evaluate the volatility of the firm. Please confirm Clean Seas' mean deviation of 0.9152, and Risk Adjusted Performance of 0.0985 to double-check if the risk estimate we provide is consistent with the expected return of 0.027%. The firm shows a Beta (market volatility) of -0.43, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Clean Seas are expected to decrease at a much lower rate. During the bear market, Clean Seas is likely to outperform the market. Clean Seas Seafood right now shows a risk of 2.35%. Please confirm Clean Seas Seafood standard deviation, information ratio, and the relationship between the coefficient of variation and variance , to decide if Clean Seas Seafood will be following its price patterns.
Auto-correlation | 0.00 |
No correlation between past and present
Clean Seas Seafood has no correlation between past and present. Overlapping area represents the amount of predictability between Clean Seas time series from 1st of April 2025 to 16th of May 2025 and 16th of May 2025 to 30th of June 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 Clean Seas Seafood price movement. The serial correlation of 0.0 indicates that just 0.0% of current Clean Seas price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Clean Seas Seafood lagged returns against current returns
Autocorrelation, which is Clean Seas 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 Clean Seas' stock 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 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 |
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 stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Clean Seas stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Clean Seas stock 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 stock 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 stock 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 |
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Additional Tools for Clean Stock Analysis
When running Clean Seas' price analysis, check to measure Clean Seas' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Clean Seas is operating at the current time. Most of Clean Seas' value examination focuses on studying past and present price action to predict the probability of Clean Seas' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Clean Seas' price. Additionally, you may evaluate how the addition of Clean Seas to your portfolios can decrease your overall portfolio volatility.