Orange SA Pink Sheet Forecast - Polynomial Regression
| FNCTF Stock | USD 11.10 0.72 6.94% |
The Polynomial Regression forecasted value of Orange SA on the next trading day is expected to be 11.15 with a mean absolute deviation of 0.37 and the sum of the absolute errors of 22.33. 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.
Orange |
Orange SA Polynomial Regression Price Forecast For the 1st of December
Given 90 days horizon, the Polynomial Regression forecasted value of Orange SA on the next trading day is expected to be 11.15 with a mean absolute deviation of 0.37, mean absolute percentage error of 0.23, and the sum of the absolute errors of 22.33.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
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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 7.15 and 15.16, 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 | 116.6219 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3661 |
| MAPE | Mean absolute percentage error | 0.0329 |
| SAE | Sum of the absolute errors | 22.3294 |
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.
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.View Orange SA Related Equities
| Risk & Return | Correlation |
Orange SA Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Orange SA's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Orange SA's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.07 | |||
| Day Median Price | 11.1 | |||
| Day Typical Price | 11.1 | |||
| Price Action Indicator | 0.36 | |||
| Period Momentum Indicator | 0.72 | |||
| Relative Strength Index | 51.74 |
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 | 1.83 | |||
| Semi Deviation | 2.58 | |||
| Standard Deviation | 3.91 | |||
| Variance | 15.29 | |||
| Downside Variance | 34.94 | |||
| Semi Variance | 6.65 | |||
| Expected Short fall | (7.64) |
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.
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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.