Dipula Income Stock Forward View - Simple Exponential Smoothing
| DIB Stock | 690.00 4.00 0.58% |
Dipula Stock outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Dipula Income stock prices and determine the direction of Dipula Income's future trends based on various well-known forecasting models. We suggest always using this module together with an analysis of Dipula Income's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time the value of rsi of Dipula Income's share price is below 20 suggesting that the stock 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 Dipula Income hype-based prediction, you can estimate the value of Dipula Income from the perspective of Dipula Income response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Dipula Income on the next trading day is expected to be 688.39 with a mean absolute deviation of 9.08 and the sum of the absolute errors of 544.88. Dipula Income after-hype prediction price | ZAC 686.0 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Dipula |
Dipula Income Additional Predictive Modules
Most predictive techniques to examine Dipula price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Dipula using various technical indicators. When you analyze Dipula 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Dipula Income Simple Exponential Smoothing Price Forecast For the 18th of February 2026
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Dipula Income on the next trading day is expected to be 688.39 with a mean absolute deviation of 9.08, mean absolute percentage error of 141.33, and the sum of the absolute errors of 544.88.Please note that although there have been many attempts to predict Dipula Stock 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 Dipula Income's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Dipula Income Stock Forecast Pattern
| Backtest Dipula Income | Dipula Income Price Prediction | Research Analysis |
Dipula Income Forecasted Value
In the context of forecasting Dipula Income's Stock 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. Dipula Income's downside and upside margins for the forecasting period are 686.51 and 690.27, respectively. We have considered Dipula Income'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 Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Dipula Income stock data series using in forecasting. Note that when a statistical model is used to represent Dipula Income stock, 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 | 121.2237 |
| Bias | Arithmetic mean of the errors | -0.2886 |
| MAD | Mean absolute deviation | 9.0813 |
| MAPE | Mean absolute percentage error | 0.0139 |
| SAE | Sum of the absolute errors | 544.8796 |
Predictive Modules for Dipula Income
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Dipula Income. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.Dipula Income After-Hype Price Density Analysis
As far as predicting the price of Dipula Income 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 Dipula Income 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 Stock prices, such as prices of Dipula Income, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Dipula Income Estimiated After-Hype Price Volatility
In the context of predicting Dipula Income's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Dipula Income's historical news coverage. Dipula Income's after-hype downside and upside margins for the prediction period are 684.12 and 687.88, respectively. We have considered Dipula Income'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Dipula Income is very steady at this time. Analysis and calculation of next after-hype price of Dipula Income is based on 3 months time horizon.
Dipula Income Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Dipula Income is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Dipula Income 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 Stock 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 Dipula Income, 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 |
0.04 | 1.88 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
690.00 | 686.00 | 0.00 |
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Dipula Income Hype Timeline
Dipula Income is currently traded for 690.00on Johannesburg Exchange of South Africa. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Dipula 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 currently at 0.04%. %. The volatility of related hype on Dipula Income is about 0.0%, with the expected price after the next announcement by competition of 690.00. About 27.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 0.41. Some equities with similar Price to Book (P/B) outperform the market in the long run. Dipula Income last dividend was issued on the 7th of December 2022. The entity had 104:100 split on the 30th of November 2015. Assuming the 90 days trading horizon the next forecasted press release will be in a few days. Check out Historical Fundamental Analysis of Dipula Income to cross-verify your projections.Dipula Income Related Hype Analysis
Having access to credible news sources related to Dipula Income's direct competition is more important than ever and may enhance your ability to predict Dipula Income's future price movements. Getting to know how Dipula Income'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 Dipula Income may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| DIB | Dipula Income | 0.00 | 0 per month | 1.79 | 0.02 | 3.07 | (3.61) | 8.34 | |
| OCT | Octodec | 0.00 | 0 per month | 1.34 | 0.06 | 2.93 | (2.55) | 8.78 | |
| OAS | Oasis Crescent Property | 0.00 | 0 per month | 0.00 | 0.05 | 2.32 | 0.00 | 32.57 |
Other Forecasting Options for Dipula Income
For every potential investor in Dipula, whether a beginner or expert, Dipula Income's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Dipula Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Dipula. Basic forecasting techniques help filter out the noise by identifying Dipula Income's price trends.Dipula Income 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 Dipula Income stock to make a market-neutral strategy. Peer analysis of Dipula Income could also be used in its relative valuation, which is a method of valuing Dipula Income by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Dipula Income Market Strength Events
Market strength indicators help investors to evaluate how Dipula Income stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Dipula Income shares will generate the highest return on investment. By undertsting and applying Dipula Income stock market strength indicators, traders can identify Dipula Income entry and exit signals to maximize returns.
| Accumulation Distribution | 20477.88 | |||
| Daily Balance Of Power | 0.1176 | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 702.0 | |||
| Day Typical Price | 698.0 | |||
| Market Facilitation Index | 1.0E-4 | |||
| Price Action Indicator | (10.00) | |||
| Period Momentum Indicator | 4.0 |
Dipula Income Risk Indicators
The analysis of Dipula Income'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 Dipula Income's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dipula stock 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 | 1.38 | |||
| Semi Deviation | 1.79 | |||
| Standard Deviation | 1.85 | |||
| Variance | 3.43 | |||
| Downside Variance | 4.48 | |||
| Semi Variance | 3.19 | |||
| Expected Short fall | (1.57) |
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 Dipula Income
The number of cover stories for Dipula Income depends on current market conditions and Dipula Income's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Dipula Income 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 Dipula Income'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 Dipula Stock
Dipula Income financial ratios help investors to determine whether Dipula Stock 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 Dipula with respect to the benefits of owning Dipula Income security.