Carnegie Clean (Australia) Technical Analysis
| CCE Stock | 0.04 0 6.98% |
As of the 26th of November, Carnegie Clean shows the Risk Adjusted Performance of 0.0283, mean deviation of 1.92, and Downside Deviation of 3.47. Carnegie Clean 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.
Carnegie Clean Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Carnegie, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CarnegieCarnegie |
Carnegie Clean 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.
Carnegie Clean Energy Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Carnegie Clean Energy volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Carnegie Clean Energy Trend Analysis
Use this graph to draw trend lines for Carnegie Clean Energy. You can use it to identify possible trend reversals for Carnegie Clean 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 Carnegie Clean price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Carnegie Clean Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Carnegie Clean Energy applied against its price change over selected period. The best fit line has a slop of 0.000025 , which means Carnegie Clean Energy will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Carnegie Clean price change compared to its average price change.About Carnegie Clean 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 Carnegie Clean 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 Carnegie Clean Energy based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Carnegie Clean Energy price pattern first instead of the macroeconomic environment surrounding Carnegie Clean Energy. By analyzing Carnegie Clean'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 Carnegie Clean'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 Carnegie Clean specific price patterns or momentum indicators. Please read more on our technical analysis page.
Carnegie Clean November 26, 2024 Technical Indicators
Most technical analysis of Carnegie 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 Carnegie from various momentum indicators to cycle indicators. When you analyze Carnegie 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.
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| Volume Indicators |
| Risk Adjusted Performance | 0.0283 | |||
| Market Risk Adjusted Performance | 0.2198 | |||
| Mean Deviation | 1.92 | |||
| Semi Deviation | 2.08 | |||
| Downside Deviation | 3.47 | |||
| Coefficient Of Variation | 3657.3 | |||
| Standard Deviation | 2.89 | |||
| Variance | 8.38 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | 0.03 | |||
| Total Risk Alpha | (0.38) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.2098 | |||
| Maximum Drawdown | 17.23 | |||
| Value At Risk | (4.88) | |||
| Potential Upside | 5.26 | |||
| Downside Variance | 12.04 | |||
| Semi Variance | 4.34 | |||
| Expected Short fall | (4.05) | |||
| Skewness | 0.6668 | |||
| Kurtosis | 1.74 |
Additional Tools for Carnegie Stock Analysis
When running Carnegie Clean's price analysis, check to measure Carnegie Clean'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 Carnegie Clean is operating at the current time. Most of Carnegie Clean's value examination focuses on studying past and present price action to predict the probability of Carnegie Clean's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Carnegie Clean's price. Additionally, you may evaluate how the addition of Carnegie Clean to your portfolios can decrease your overall portfolio volatility.