Orange Sa Stock Technical Analysis
| FNCTF Stock | USD 16.68 0.50 2.91% |
As of the 26th of January, Orange SA holds the Semi Deviation of 1.64, risk adjusted performance of 0.0484, and Coefficient Of Variation of 1755.13. 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. Please check Orange SA information ratio, and the relationship between the downside deviation and value at risk to decide if Orange SA is priced some-what accurately, providing market reflects its current price of 16.68 per share. Given that Orange SA has jensen alpha of 0.1061, we recommend you to check out Orange SA's recent market performance to make sure the company can sustain itself at a future point.
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 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Orange SA's pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Orange SA.
| 10/28/2025 |
| 01/26/2026 |
If you would invest 0.00 in Orange SA on October 28, 2025 and sell it all today you would earn a total of 0.00 from holding Orange SA or generate 0.0% return on investment in Orange SA over 90 days. Orange SA is related to or competes with Cellnex Telecom, Swisscom, SwissCom, TelstraLimited, TelstraLimited, Singapore Telecommunicatio, and Singapore Telecommunicatio. Orange S.A. provides various fixed telephony and mobile telecommunications, data transmission, and other value-added ser... More
Orange SA Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Orange SA's pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Orange SA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.91 | |||
| Information Ratio | 0.0214 | |||
| Maximum Drawdown | 15.73 | |||
| Value At Risk | (2.78) | |||
| Potential Upside | 3.44 |
Orange SA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Orange SA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Orange SA's standard deviation. In reality, there are many statistical measures that can use Orange SA historical prices to predict the future Orange SA's volatility.| Risk Adjusted Performance | 0.0484 | |||
| Jensen Alpha | 0.1061 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | 0.0121 | |||
| Treynor Ratio | 0.8381 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Orange SA's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Orange SA January 26, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0484 | |||
| Market Risk Adjusted Performance | 0.8481 | |||
| Mean Deviation | 1.08 | |||
| Semi Deviation | 1.64 | |||
| Downside Deviation | 3.91 | |||
| Coefficient Of Variation | 1755.13 | |||
| Standard Deviation | 2.2 | |||
| Variance | 4.86 | |||
| Information Ratio | 0.0214 | |||
| Jensen Alpha | 0.1061 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | 0.0121 | |||
| Treynor Ratio | 0.8381 | |||
| Maximum Drawdown | 15.73 | |||
| Value At Risk | (2.78) | |||
| Potential Upside | 3.44 | |||
| Downside Variance | 15.3 | |||
| Semi Variance | 2.71 | |||
| Expected Short fall | (3.36) | |||
| Skewness | (0.45) | |||
| Kurtosis | 7.26 |
Orange SA Backtested Returns
At this point, Orange SA is not too volatile. Orange SA maintains Sharpe Ratio (i.e., Efficiency) of 0.0502, which implies the firm had a 0.0502 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Orange SA, which you can use to evaluate the volatility of the company. Please check Orange SA's Risk Adjusted Performance of 0.0484, semi deviation of 1.64, and Coefficient Of Variation of 1755.13 to confirm if the risk estimate we provide is consistent with the expected return of 0.0971%. Orange SA has a performance score of 3 on a scale of 0 to 100. The company holds a Beta of 0.14, which implies not very significant fluctuations relative to the market. As returns on the market increase, Orange SA's returns are expected to increase less than the market. However, during the bear market, the loss of holding Orange SA is expected to be smaller as well. Orange SA right now holds a risk of 1.94%. Please check Orange SA value at risk, day median price, and the relationship between the total risk alpha and expected short fall , to decide if Orange SA will be following its historical price patterns.
Auto-correlation | 0.55 |
Modest predictability
Orange SA has modest predictability. Overlapping area represents the amount of predictability between Orange SA time series from 28th of October 2025 to 12th of December 2025 and 12th of December 2025 to 26th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Orange SA price movement. The serial correlation of 0.55 indicates that about 55.0% of current Orange SA price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.55 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
Orange SA technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Orange SA Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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.
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 January 26, 2026 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.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0484 | |||
| Market Risk Adjusted Performance | 0.8481 | |||
| Mean Deviation | 1.08 | |||
| Semi Deviation | 1.64 | |||
| Downside Deviation | 3.91 | |||
| Coefficient Of Variation | 1755.13 | |||
| Standard Deviation | 2.2 | |||
| Variance | 4.86 | |||
| Information Ratio | 0.0214 | |||
| Jensen Alpha | 0.1061 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | 0.0121 | |||
| Treynor Ratio | 0.8381 | |||
| Maximum Drawdown | 15.73 | |||
| Value At Risk | (2.78) | |||
| Potential Upside | 3.44 | |||
| Downside Variance | 15.3 | |||
| Semi Variance | 2.71 | |||
| Expected Short fall | (3.36) | |||
| Skewness | (0.45) | |||
| Kurtosis | 7.26 |
Orange SA January 26, 2026 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 Orange 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 | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 16.68 | ||
| Day Typical Price | 16.68 | ||
| Price Action Indicator | (0.25) |
Complementary Tools for Orange Pink Sheet 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.
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