Scentre Pink Sheet Forecast - Polynomial Regression
| STGPF Stock | USD 2.80 0.00 0.00% |
The Polynomial Regression forecasted value of Scentre Group on the next trading day is expected to be 2.98 with a mean absolute deviation of 0.17 and the sum of the absolute errors of 10.67. Scentre Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Scentre's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 6th of January 2026 The relative strength index (RSI) of Scentre's share price is above 80 . This usually implies that the pink sheet is significantly overbought by investors. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 91
Buy Peaked
Oversold | Overbought |
Using Scentre hype-based prediction, you can estimate the value of Scentre Group from the perspective of Scentre response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Scentre Group on the next trading day is expected to be 2.98 with a mean absolute deviation of 0.17 and the sum of the absolute errors of 10.67. Scentre after-hype prediction price | USD 2.52 |
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.
Scentre |
Scentre Additional Predictive Modules
Most predictive techniques to examine Scentre price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Scentre using various technical indicators. When you analyze Scentre 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 |
Scentre Polynomial Regression Price Forecast For the 7th of January
Given 90 days horizon, the Polynomial Regression forecasted value of Scentre Group on the next trading day is expected to be 2.98 with a mean absolute deviation of 0.17, mean absolute percentage error of 0.03, and the sum of the absolute errors of 10.67.Please note that although there have been many attempts to predict Scentre 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 Scentre's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Scentre Pink Sheet Forecast Pattern
| Backtest Scentre | Scentre Price Prediction | Buy or Sell Advice |
Scentre Forecasted Value
In the context of forecasting Scentre'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. Scentre's downside and upside margins for the forecasting period are 0.03 and 7.00, respectively. We have considered Scentre'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 Scentre pink sheet data series using in forecasting. Note that when a statistical model is used to represent Scentre 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 | 114.7348 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.175 |
| MAPE | Mean absolute percentage error | 0.0701 |
| SAE | Sum of the absolute errors | 10.6731 |
Predictive Modules for Scentre
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Scentre Group. 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.Other Forecasting Options for Scentre
For every potential investor in Scentre, whether a beginner or expert, Scentre's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Scentre Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Scentre. Basic forecasting techniques help filter out the noise by identifying Scentre's price trends.Scentre 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 Scentre pink sheet to make a market-neutral strategy. Peer analysis of Scentre could also be used in its relative valuation, which is a method of valuing Scentre by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Scentre Group 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 Scentre'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 Scentre's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Scentre Market Strength Events
Market strength indicators help investors to evaluate how Scentre 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 Scentre shares will generate the highest return on investment. By undertsting and applying Scentre pink sheet market strength indicators, traders can identify Scentre Group entry and exit signals to maximize returns.
Scentre Risk Indicators
The analysis of Scentre'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 Scentre's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting scentre 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 | 1.5 | |||
| Standard Deviation | 3.98 | |||
| Variance | 15.86 |
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 Scentre Pink Sheet
Scentre financial ratios help investors to determine whether Scentre 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 Scentre with respect to the benefits of owning Scentre security.