Clean Carbon (Poland) Technical Analysis
| CCE Stock | 0.29 0.02 6.45% |
As of the 26th of November, Clean Carbon shows the mean deviation of 3.28, and Risk Adjusted Performance of (0.01). Clean Carbon Energy 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. Please confirm Clean Carbon Energy market risk adjusted performance, variance, as well as the relationship between the Variance and value at risk to decide if Clean Carbon Energy is priced correctly, providing market reflects its regular price of 0.29 per share.
Clean Carbon 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 Carbon 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 Carbon Energy Technical Analysis
The output start index for this execution was twelve with a total number of output elements of fourty-nine. 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 Carbon Energy volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Clean Carbon Energy Trend Analysis
Use this graph to draw trend lines for Clean Carbon Energy. You can use it to identify possible trend reversals for Clean Carbon 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 Carbon price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Clean Carbon Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Clean Carbon Energy applied against its price change over selected period. The best fit line has a slop of 0.0012 , which may suggest that Clean Carbon Energy market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.06, which is the sum of squared deviations for the predicted Clean Carbon price change compared to its average price change.About Clean Carbon 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 Carbon Energy 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 Carbon Energy based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Clean Carbon Energy price pattern first instead of the macroeconomic environment surrounding Clean Carbon Energy. By analyzing Clean Carbon'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 Carbon'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 Carbon specific price patterns or momentum indicators. Please read more on our technical analysis page.
Clean Carbon November 26, 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 | (0.01) | |||
| Market Risk Adjusted Performance | (0.08) | |||
| Mean Deviation | 3.28 | |||
| Coefficient Of Variation | (5,348) | |||
| Standard Deviation | 5.74 | |||
| Variance | 32.92 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.27) | |||
| Total Risk Alpha | (1.02) | |||
| Treynor Ratio | (0.09) | |||
| Maximum Drawdown | 26.34 | |||
| Value At Risk | (10.53) | |||
| Potential Upside | 10.71 | |||
| Skewness | 0.4609 | |||
| Kurtosis | 1.51 |
Clean Carbon November 26, 2024 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Clean stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 22.38 | ||
| Daily Balance Of Power | (2.00) | ||
| Rate Of Daily Change | 0.94 | ||
| Day Median Price | 0.29 | ||
| Day Typical Price | 0.29 | ||
| Price Action Indicator | (0.01) |
Additional Tools for Clean Stock Analysis
When running Clean Carbon's price analysis, check to measure Clean Carbon'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 Carbon is operating at the current time. Most of Clean Carbon's value examination focuses on studying past and present price action to predict the probability of Clean Carbon'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 Carbon's price. Additionally, you may evaluate how the addition of Clean Carbon to your portfolios can decrease your overall portfolio volatility.