Shopping Centres Pink Sheet Forward View
| SCPAFDelisted Stock | USD 1.40 0.00 0.00% |
Shopping Pink Sheet outlook is based on your current time horizon. We recommend always using this module together with an analysis of Shopping Centres' historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 30th of January 2026 the relative strength index (rsi) of Shopping Centres' share price is below 20 . This usually implies that the pink sheet is significantly oversold. 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 0
Sell Peaked
Oversold | Overbought |
Using Shopping Centres hype-based prediction, you can estimate the value of Shopping Centres Australasia from the perspective of Shopping Centres response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Shopping Centres Australasia on the next trading day is expected to be 1.42 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.61. Shopping Centres after-hype prediction price | USD 1.4 |
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.
Shopping |
Shopping Centres Additional Predictive Modules
Most predictive techniques to examine Shopping price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Shopping using various technical indicators. When you analyze Shopping 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 |
Shopping Centres Naive Prediction Price Forecast For the 31st of January
Given 90 days horizon, the Naive Prediction forecasted value of Shopping Centres Australasia on the next trading day is expected to be 1.42 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.61.Please note that although there have been many attempts to predict Shopping 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 Shopping Centres' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Shopping Centres Pink Sheet Forecast Pattern
| Backtest Shopping Centres | Shopping Centres Price Prediction | Buy or Sell Advice |
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Shopping Centres pink sheet data series using in forecasting. Note that when a statistical model is used to represent Shopping Centres 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 | 112.7556 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0428 |
| MAPE | Mean absolute percentage error | 0.0266 |
| SAE | Sum of the absolute errors | 2.6091 |
Predictive Modules for Shopping Centres
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Shopping Centres Aus. 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.Shopping Centres After-Hype Price Density Analysis
As far as predicting the price of Shopping Centres 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 Shopping Centres 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 Shopping Centres, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Shopping Centres Estimiated After-Hype Price Volatility
In the context of predicting Shopping Centres' pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Shopping Centres' historical news coverage. Shopping Centres' after-hype downside and upside margins for the prediction period are 1.40 and 1.40, respectively. We have considered Shopping Centres' 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
Shopping Centres is very steady at this time. Analysis and calculation of next after-hype price of Shopping Centres Aus is based on 3 months time horizon.
Shopping Centres Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Shopping Centres is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Shopping Centres 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 Shopping Centres, 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 |
0.00 | 0.00 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
1.40 | 1.40 | 0.00 |
|
Shopping Centres Hype Timeline
Shopping Centres Aus is at this time traded for 1.40. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Shopping is forecasted 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 forecasted to be very small, whereas the daily expected return is at this time at 0.0%. %. The volatility of related hype on Shopping Centres is about 0.0%, with the expected price after the next announcement by competition of 1.40. About 48.0% of the company shares are owned by institutional investors. The company last dividend was issued on the 30th of December 1970. Assuming the 90 days horizon the next forecasted press release will be within a week. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.Shopping Centres Related Hype Analysis
Having access to credible news sources related to Shopping Centres' direct competition is more important than ever and may enhance your ability to predict Shopping Centres' future price movements. Getting to know how Shopping Centres' 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 Shopping Centres may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| PMREF | Primaris Real Estate | 0.00 | 0 per month | 9.40 | 0.1 | 3.26 | (1.87) | 412.37 | |
| PHPRF | Primary Health Properties | 0.00 | 0 per month | 0.00 | 0.11 | 0.81 | 0.00 | 3.16 | |
| CBAOF | Fibra Terrafina | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| JRHIF | Daiwa Securities Living | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| XIORF | Xior Student Housing | 0.00 | 0 per month | 0.81 | (0.02) | 2.13 | (1.87) | 7.94 | |
| CMPNF | Champion Real Estate | 0.00 | 0 per month | 0.00 | 0.15 | 0.00 | 0.00 | 17.39 | |
| FRIVF | Fortune Real Estate | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| INGEF | Ingenia Communities Group | 0.00 | 0 per month | 0.00 | (0.07) | 5.35 | (8.85) | 27.77 | |
| MEIYF | Mercialys | 0.00 | 0 per month | 0.00 | (0.02) | 0.00 | 0.00 | 9.56 | |
| SGLMF | Starhill Global Real | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Shopping Centres 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 Shopping Centres pink sheet to make a market-neutral strategy. Peer analysis of Shopping Centres could also be used in its relative valuation, which is a method of valuing Shopping Centres by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Shopping Centres Market Strength Events
Market strength indicators help investors to evaluate how Shopping Centres 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 Shopping Centres shares will generate the highest return on investment. By undertsting and applying Shopping Centres pink sheet market strength indicators, traders can identify Shopping Centres Australasia entry and exit signals to maximize returns.
Story Coverage note for Shopping Centres
The number of cover stories for Shopping Centres depends on current market conditions and Shopping Centres' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Shopping Centres 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 Shopping Centres' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
Shopping Centres Short Properties
Shopping Centres' future price predictability will typically decrease when Shopping Centres' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Shopping Centres Australasia often depends not only on the future outlook of the potential Shopping Centres' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Shopping Centres' indicators that are reflective of the short sentiment are summarized in the table below.
| Dividends Paid | 92.5 M | |
| Short Long Term Debt | 7.3 M | |
| Shares Float | 1.1 B |
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Other Consideration for investing in Shopping Pink Sheet
If you are still planning to invest in Shopping Centres Aus check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Shopping Centres' history and understand the potential risks before investing.
| Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
| Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
| Share Portfolio Track or share privately all of your investments from the convenience of any device | |
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets |