Clean Science (Korea) Technical Analysis
| 045520 Stock | 4,600 95.00 2.02% |
As of the 22nd of November, Clean Science shows the risk adjusted performance of (0.07), and Mean Deviation of 1.54. Clean Science co technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Clean Science Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Clean, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CleanClean |
Clean Science technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Clean Science co Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Clean Science co volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Clean Science co Trend Analysis
Use this graph to draw trend lines for Clean Science co. You can use it to identify possible trend reversals for Clean Science as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Clean Science price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Clean Science Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Clean Science co applied against its price change over selected period. The best fit line has a slop of 15.44 , which may suggest that Clean Science co market price will keep on failing further. It has 122 observation points and a regression sum of squares at 9017256.49, which is the sum of squared deviations for the predicted Clean Science price change compared to its average price change.About Clean Science Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Clean Science co on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Clean Science co based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Clean Science co price pattern first instead of the macroeconomic environment surrounding Clean Science co. By analyzing Clean Science's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Clean Science's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Clean Science specific price patterns or momentum indicators. Please read more on our technical analysis page.
Clean Science November 22, 2024 Technical Indicators
Most technical analysis of Clean help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Clean from various momentum indicators to cycle indicators. When you analyze Clean charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.07) | |||
| Market Risk Adjusted Performance | (2.50) | |||
| Mean Deviation | 1.54 | |||
| Coefficient Of Variation | (962.07) | |||
| Standard Deviation | 2.89 | |||
| Variance | 8.36 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (0.32) | |||
| Total Risk Alpha | (0.69) | |||
| Treynor Ratio | (2.51) | |||
| Maximum Drawdown | 25.4 | |||
| Value At Risk | (4.21) | |||
| Potential Upside | 2.3 | |||
| Skewness | 2.47 | |||
| Kurtosis | 17.49 |
Complementary Tools for Clean Stock analysis
When running Clean Science's price analysis, check to measure Clean Science's 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 Science is operating at the current time. Most of Clean Science's value examination focuses on studying past and present price action to predict the probability of Clean Science's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Clean Science's price. Additionally, you may evaluate how the addition of Clean Science to your portfolios can decrease your overall portfolio volatility.
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