Orange SA Pink Sheet Forecast - Polynomial Regression
| FNCTF Stock | USD 16.68 0.50 2.91% |
The Polynomial Regression forecasted value of Orange SA on the next trading day is expected to be 16.96 with a mean absolute deviation of 0.23 and the sum of the absolute errors of 14.03. Orange Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Orange SA's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 23rd of January 2026, The relative strength index (RSI) of Orange SA's share price is at 56. This usually indicates that the pink sheet is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Orange SA, making its price go up or down. Momentum 56
Buy Extended
Oversold | Overbought |
Using Orange SA hype-based prediction, you can estimate the value of Orange SA from the perspective of Orange SA response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Orange SA on the next trading day is expected to be 16.96 with a mean absolute deviation of 0.23 and the sum of the absolute errors of 14.03. Orange SA after-hype prediction price | USD 16.68 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
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 |
Orange SA Polynomial Regression Price Forecast For the 24th of January
Given 90 days horizon, the Polynomial Regression forecasted value of Orange SA on the next trading day is expected to be 16.96 with a mean absolute deviation of 0.23, mean absolute percentage error of 0.1, and the sum of the absolute errors of 14.03.Please note that although there have been many attempts to predict Orange Pink Sheet prices using its time series forecasting, we generally do not recommend 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).
Orange SA Pink Sheet Forecast Pattern
| Backtest Orange SA | Orange SA Price Prediction | Buy or Sell Advice |
Orange SA Forecasted Value
In the context of forecasting Orange SA's Pink Sheet value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Orange SA's downside and upside margins for the forecasting period are 15.01 and 18.91, respectively. We have considered Orange SA's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression 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 | 115.786 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2299 |
| MAPE | Mean absolute percentage error | 0.0143 |
| SAE | Sum of the absolute errors | 14.0261 |
Predictive Modules for Orange SA
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Orange SA. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.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 After-Hype Price Prediction Density Analysis
As far as predicting the price of Orange SA at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Orange SA or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Pink Sheet prices, such as prices of Orange SA, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Orange SA Estimiated After-Hype Price Volatility
In the context of predicting Orange SA's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Orange SA's historical news coverage. Orange SA's after-hype downside and upside margins for the prediction period are 14.74 and 18.62, respectively. We have considered Orange SA's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Orange SA is not too volatile at this time. Analysis and calculation of next after-hype price of Orange SA is based on 3 months time horizon.
Orange SA Pink Sheet Price Prediction 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 |
0.10 | 1.95 | 0.00 | 0.02 | 0 Events / Month | 4 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
16.68 | 16.68 | 0.00 |
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Orange SA Hype Timeline
Orange SA is currently traded for 16.68. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.02. 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 insignificant. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is currently at 0.1%. %. The volatility of related hype on Orange SA is about 1026.32%, with the expected price after the next announcement by competition of 16.70. 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 entity last dividend was issued on the 5th of December 2022. Assuming the 90 days horizon the next anticipated press release will be in a few days. Check out Historical Fundamental Analysis of Orange SA to cross-verify your projections.Orange SA Related Hype Analysis
Having access to credible news sources related to Orange SA's direct competition is more important than ever and may enhance your ability to predict Orange SA's future price movements. Getting to know how Orange SA's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Orange SA may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CLLNY | Cellnex Telecom SA | 0.00 | 0 per month | 0.00 | (0.20) | 1.79 | (2.72) | 6.80 | |
| SWZCF | Swisscom AG | 0.00 | 0 per month | 1.38 | (0.03) | 3.28 | (2.39) | 10.18 | |
| SCMWY | SwissCom AG | 0.71 | 5 per month | 0.91 | (0.04) | 2.27 | (1.59) | 5.49 | |
| TLGPY | Telstra Limited | 0.00 | 0 per month | 1.06 | (0.08) | 1.56 | (1.28) | 5.18 | |
| TTRAF | Telstra Limited | 0.71 | 4 per month | 0.00 | (0.05) | 0.00 | 0.00 | 6.56 | |
| SNGNF | Singapore Telecommunications Limited | 0.71 | 4 per month | 1.50 | 0.05 | 4.35 | (2.76) | 20.20 | |
| SGAPY | Singapore Telecommunications PK | 0.00 | 0 per month | 1.00 | 0.01 | 2.50 | (1.55) | 9.20 | |
| KSHTY | Kuaishou Technology | (0.23) | 12 per month | 4.02 | (0) | 9.60 | (6.98) | 23.82 | |
| TEFOF | Telefnica SA | 0.00 | 0 per month | 0.00 | (0.09) | 8.55 | (8.91) | 20.36 | |
| UNVGY | Universal Music Group | 0.00 | 0 per month | 0.00 | (0.16) | 1.98 | (2.64) | 10.02 |
Other Forecasting Options for Orange SA
For every potential investor in Orange, whether a beginner or expert, Orange SA's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Orange Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Orange. Basic forecasting techniques help filter out the noise by identifying Orange SA's price trends.Orange SA Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Orange SA pink sheet to make a market-neutral strategy. Peer analysis of Orange SA could also be used in its relative valuation, which is a method of valuing Orange SA by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Orange SA Market Strength Events
Market strength indicators help investors to evaluate how Orange SA pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Orange SA shares will generate the highest return on investment. By undertsting and applying Orange SA pink sheet market strength indicators, traders can identify Orange SA entry and exit signals to maximize returns.
Orange SA Risk Indicators
The analysis of Orange SA's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Orange SA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting orange pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.8938 | |||
| Semi Deviation | 1.44 | |||
| Standard Deviation | 1.94 | |||
| Variance | 3.75 | |||
| Downside Variance | 12.32 | |||
| Semi Variance | 2.08 | |||
| Expected Short fall | (3.13) |
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
The number of cover stories for Orange SA depends on current market conditions and Orange SA's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Orange SA is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Orange SA's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Other Information on Investing in Orange Pink Sheet
Orange SA financial ratios help investors to determine whether Orange Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Orange with respect to the benefits of owning Orange SA security.