Clean Science (India) Market Value
| CLEAN Stock | 1,228 23.95 1.99% |
| Symbol | Clean |
Clean Science '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 Science's 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 Science.
| 12/19/2024 |
| 03/19/2025 |
If you would invest 0.00 in Clean Science on December 19, 2024 and sell it all today you would earn a total of 0.00 from holding Clean Science and or generate 0.0% return on investment in Clean Science over 90 days. Clean Science is related to or competes with LT Foods, Ortel Communications, Kohinoor Foods, Univa Foods, Hemisphere Properties, and Hi Tech. Clean Science is entity of India. It is traded as Stock on NSE exchange. More
Clean Science 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 Science's 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 Science and upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 10.69 | |||
| Value At Risk | (4.10) | |||
| Potential Upside | 3.54 |
Clean Science Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Clean Science's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Clean Science's standard deviation. In reality, there are many statistical measures that can use Clean Science historical prices to predict the future Clean Science's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.23) | |||
| Total Risk Alpha | 0.0409 | |||
| Treynor Ratio | 0.6954 |
Clean Science Backtested Returns
Clean Science secures Sharpe Ratio (or Efficiency) of -0.12, which signifies that the company had a -0.12 % return per unit of standard deviation over the last 3 months. Clean Science and exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Clean Science's mean deviation of 1.91, and Risk Adjusted Performance of (0.07) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.3, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Clean Science are expected to decrease at a much lower rate. During the bear market, Clean Science is likely to outperform the market. At this point, Clean Science has a negative expected return of -0.28%. Please make sure to confirm Clean Science's jensen alpha, accumulation distribution, relative strength index, as well as the relationship between the value at risk and day typical price , to decide if Clean Science performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.44 |
Average predictability
Clean Science and has average predictability. Overlapping area represents the amount of predictability between Clean Science time series from 19th of December 2024 to 2nd of February 2025 and 2nd of February 2025 to 19th 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 Clean Science price movement. The serial correlation of 0.44 indicates that just about 44.0% of current Clean Science price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.44 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 9699.66 |
Clean Science lagged returns against current returns
Autocorrelation, which is Clean Science 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 Science's stock expected returns. We can calculate the autocorrelation of Clean Science returns to help us make a trade decision. For example, suppose you find that Clean Science 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 Science 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 Science stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Clean Science stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Clean Science stock over time.
Current vs Lagged Prices |
| Timeline |
Clean Science Lagged Returns
When evaluating Clean Science's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Clean Science stock have on its future price. Clean Science 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 Science autocorrelation shows the relationship between Clean Science stock current value and its past values and can show if there is a momentum factor associated with investing in Clean Science and.
Regressed Prices |
| Timeline |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Clean Stock
Clean Science financial ratios help investors to determine whether Clean 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 Clean with respect to the benefits of owning Clean Science security.