Orange SA (Germany) Technical Analysis
| FTE Stock | 9.99 0.13 1.32% |
As of the 25th of November, Orange SA holds the Coefficient Of Variation of (2,637), risk adjusted performance of (0.03), and Variance of 1.02. Orange SA technical analysis gives you tools to exploit past prices in attempt to determine a pattern that determines the direction of the company's future prices.
Orange SA Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Orange, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to OrangeOrange |
Orange SA 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.
Orange SA 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 Orange SA volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Orange SA Trend Analysis
Use this graph to draw trend lines for Orange SA. You can use it to identify possible trend reversals for Orange SA 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 Orange SA price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Orange SA Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Orange SA applied against its price change over selected period. The best fit line has a slop of 0.02 , which may suggest that Orange SA market price will keep on failing further. It has 122 observation points and a regression sum of squares at 11.86, which is the sum of squared deviations for the predicted Orange SA price change compared to its average price change.About Orange SA 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 Orange SA 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 Orange SA based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Orange SA price pattern first instead of the macroeconomic environment surrounding Orange SA. By analyzing Orange SA'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 Orange SA'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 Orange SA specific price patterns or momentum indicators. Please read more on our technical analysis page.
Orange SA November 25, 2024 Technical Indicators
Most technical analysis of Orange 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 Orange from various momentum indicators to cycle indicators. When you analyze Orange 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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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.03) | |||
| Market Risk Adjusted Performance | 1.46 | |||
| Mean Deviation | 0.76 | |||
| Coefficient Of Variation | (2,637) | |||
| Standard Deviation | 1.01 | |||
| Variance | 1.02 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | 1.45 | |||
| Maximum Drawdown | 5.67 | |||
| Value At Risk | (1.56) | |||
| Potential Upside | 1.33 | |||
| Skewness | (0.88) | |||
| Kurtosis | 2.29 |
Additional Tools for Orange Stock Analysis
When running Orange SA's price analysis, check to measure Orange SA'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 Orange SA is operating at the current time. Most of Orange SA's value examination focuses on studying past and present price action to predict the probability of Orange SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Orange SA's price. Additionally, you may evaluate how the addition of Orange SA to your portfolios can decrease your overall portfolio volatility.