Orange SA Pink Sheet Forward View - Simple Moving Average
| FNCTF Stock | USD 20.35 -0.15 -0.73% |
Momentum
Sell Peaked
Oversold | Overbought |
This section frames Orange SA response to recent headlines in a peer context.
The Simple Moving Average forecasted value of Orange SA on the next trading day is expected to be 20.35 with a mean absolute deviation of 0.25 and the sum of the absolute errors of 14.91.Orange SA after-hype prediction price | $ 20.35 |
This view helps relate attention signals to forecasting and technical indicators plus earnings context.
Orange |
Orange SA Additional Predictive Modules
Most predictive techniques to examine Orange price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Orange using various technical indicators. When you analyze Orange charts, please remember that the event formation may indicate an entry point for a short seller, and look at 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 |
Simple Moving Average Price Forecast For the 16th of March 2026
Given 90 days horizon, the Simple Moving Average forecasted value of Orange SA on the next trading day is expected to be 20.35 with a mean absolute deviation of 0.25 , mean absolute percentage error of 0.32 , and the sum of the absolute errors of 14.91 .Please note that although there have been many attempts to predict Orange Pink Sheet prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Orange SA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Pink Sheet Forecast Pattern
| Backtest Orange SA | Orange SA Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Orange SA uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Orange SA pink sheet data series using in forecasting. Note that when a statistical model is used to represent Orange SA pink sheet, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 113.295 |
| Bias | Arithmetic mean of the errors | -0.1106 |
| MAD | Mean absolute deviation | 0.2526 |
| MAPE | Mean absolute percentage error | 0.0132 |
| SAE | Sum of the absolute errors | 14.905 |
The degree to which Orange SA's exhibits mean reversion depends on how efficiently the market prices new information. In highly covered equities, the mean reversion window tends to be shorter.
After-Hype Price Density Analysis
The after-hype price distribution for Orange SA helps investors understand how much of Orange SA's predicted return comes from the central scenario versus tail outcomes. Strategies that rely on tail events for Orange SA are inherently more speculative.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
Historical news patterns for Orange SA reveal how the market has historically digested different types of information about Orange SA's business and market environment. Orange SA's after-hype downside and upside margins for the prediction period are 17.85 and 22.85, respectively. The model extrapolates these patterns to estimate likely price boundaries following the next significant.
Current Value
The after-hype framework applied to Orange SA assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.
Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Orange SA is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Orange SA backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Pink Sheet price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Orange SA, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.42 | 2.50 | 1.13 | 0.03 | 9 Events | 2 Events | In 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
20.35 | 20.35 | 0.00 |
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Hype Timeline
Orange SA is currently traded for 20.35. The company has historical hype elasticity of 1.13, and average elasticity to hype of competition of 0.03. Orange is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 93.28%. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is currently at 0.42%. %. The volatility of related hype on Orange SA is about 3125.0%, with the expected price after the next announcement by competition of 20.38. About 20.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 0.75. Some equities with similar Price to Book (P/B) outperform the market in the long run. Orange SA has Price/Earnings To Growth (PEG) ratio of 0.99. The company last dividend was issued on the 5th of December 2022. Assuming a 90-day horizon the next anticipated press release will be in 9 days. Historical Fundamental Analysis of Orange SA provides a cross-check on projections for Orange SA. The analysis adds historical context for the projection set.Related Hype Analysis
Peer hype analysis helps investors build a more complete picture of Orange SA's competitive environment by quantifying the market's sensitivity to news across all major players in Orange SA's sector.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CLLNY | Cellnex Telecom SA | 0.00 | 0 per month | 1.84 | 0.14 | 2.56 | -2.55 | 13.17 | |
| SWZCF | Swisscom AG | 0.00 | 0 per month | 0.00 | 0.26 | 4.28 | -1.33 | 8.36 | |
| SCMWY | SwissCom AG | 0.25 | 8 per month | 0.35 | 0.39 | 2.60 | -1.62 | 6.84 | |
| TLGPY | Telstra Limited | 0.00 | 0 per month | 0.68 | 0.23 | 1.53 | -1.35 | 4.73 | |
| TTRAF | Telstra Limited | 0.00 | 0 per month | 0.00 | 0.16 | 0.00 | 0.00 | 12.52 | |
| SNGNF | Singapore Telecommunications Limited | 0.25 | 3 per month | 1.59 | 0.09 | 4.86 | -2.56 | 17.68 | |
| SGAPY | Singapore Telecommunications PK | 0.00 | 0 per month | 1.16 | 0.14 | 2.28 | -2.08 | 6.79 | |
| KSHTY | Kuaishou Technology | 0.00 | 0 per month | 5.18 | 0.01 | 11.63 | -9.44 | 31.70 | |
| TEFOF | Telefnica SA | 0.00 | 0 per month | 3.59 | 0.02 | 8.23 | -7.44 | 20.36 | |
| UNVGY | Universal Music Group | 0.30 | 26 per month | 0.00 | -0.11 | 2.05 | -2.86 | 14.41 |
Other Forecasting Options for Orange SA
The price trajectory of Orange is the primary concern for any investor assessing it as an opportunity. Orange Pink Sheet price charts are filled with noise that can easily mislead uninformed investment decisions.Orange SA Related Equities
The following equities are related to Orange SA within the Telecom Services space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Orange SA against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
Orange SA Market Strength Events
Understanding the market strength of Orange SA pink sheet enables investors to assess the security's momentum and responsiveness to broader market forces. These indicators are essential tools for timing trades in Orange SA with greater precision.
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 20.35 | |||
| Day Typical Price | 20.35 | |||
| Price Action Indicator | -0.07 | |||
| Period Momentum Indicator | -0.15 |
Orange SA Risk Indicators
Reviewing Orange SA's basic risk indicators is essential for investors who want to forecast its price and manage their investment risk effectively. This analysis helps identify the amount of risk involved in holding Orange SA's and informs decisions about hedging and position.
| Mean Deviation | 1.19 | |||
| Semi Deviation | 0.5485 | |||
| Standard Deviation | 2.43 | |||
| Variance | 5.88 | |||
| Downside Variance | 5.08 | |||
| Semi Variance | 0.3009 | |||
| Expected Short fall | -5.99 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Orange SA
Coverage intensity for Orange SA matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
Other Macroaxis Stories
Story coverage on Macroaxis is built for readers who approach markets from different levels of experience but share the same need for disciplined investment context. Used well, these stories become part of a broader workflow built around idea generation, validation, and risk-adjusted portfolio design.
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Other Information on Investing in Orange Pink Sheet
Orange SA financial ratios provide valuation context across profits, cash flow, and enterprise value. They help compare Orange across valuation measures in a consistent way.