Camber Energy Stock Technical Analysis
| CEI Stock | USD 0.02 0.0009 5.26% |
As of the 26th of November, Camber Energy shows the Standard Deviation of 4.81, mean deviation of 3.57, and Risk Adjusted Performance of (0.02). Camber 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.
Camber Energy Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Camber, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CamberCamber |
Camber Energy Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 1.0 | Strong Sell | 0 | Odds |
Most Camber analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Camber stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Camber Energy, talking to its executives and customers, or listening to Camber conference calls.
Camber Analyst Advice DetailsCamber Energy 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.
Camber 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 Camber Energy volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Camber Energy Trend Analysis
Use this graph to draw trend lines for Camber Energy. You can use it to identify possible trend reversals for Camber Energy 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 Camber Energy price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Camber Energy Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Camber Energy applied against its price change over selected period. The best fit line has a slop of 0 , which may imply that the returns on investment in Camber Energy will continue to fail. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Camber Energy price change compared to its average price change.About Camber Energy 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 Camber 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 Camber Energy based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Camber Energy price pattern first instead of the macroeconomic environment surrounding Camber Energy. By analyzing Camber Energy'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 Camber Energy'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 Camber Energy specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 (projected) | Dividend Yield | 1.8E-5 | 1.6E-5 | Price To Sales Ratio | 0.51 | 0.48 |
Camber Energy November 26, 2024 Technical Indicators
Most technical analysis of Camber 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 Camber from various momentum indicators to cycle indicators. When you analyze Camber 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 | (0.02) | |||
| Market Risk Adjusted Performance | 0.1983 | |||
| Mean Deviation | 3.57 | |||
| Coefficient Of Variation | (2,317) | |||
| Standard Deviation | 4.81 | |||
| Variance | 23.11 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.97) | |||
| Treynor Ratio | 0.1883 | |||
| Maximum Drawdown | 29.62 | |||
| Value At Risk | (7.92) | |||
| Potential Upside | 7.62 | |||
| Skewness | (0.54) | |||
| Kurtosis | 2.14 |
Complementary Tools for Camber Stock analysis
When running Camber Energy's price analysis, check to measure Camber Energy'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 Camber Energy is operating at the current time. Most of Camber Energy's value examination focuses on studying past and present price action to predict the probability of Camber Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Camber Energy's price. Additionally, you may evaluate how the addition of Camber Energy to your portfolios can decrease your overall portfolio volatility.
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