Interloop Stock Forward View - Polynomial Regression
| ILP Stock | 90.21 1.28 1.40% |
Momentum 0
Sell Peaked
Oversold | Overbought |
Using Interloop hype-based prediction, you can estimate the value of Interloop from the perspective of Interloop response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Interloop on the next trading day is expected to be 93.17 with a mean absolute deviation of 1.61 and the sum of the absolute errors of 98.30. Interloop after-hype prediction price | PKR 90.21 |
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.
Interloop |
Interloop Additional Predictive Modules
Most predictive techniques to examine Interloop price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Interloop using various technical indicators. When you analyze Interloop 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 |
Interloop Polynomial Regression Price Forecast For the 16th of February 2026
Given 90 days horizon, the Polynomial Regression forecasted value of Interloop on the next trading day is expected to be 93.17 with a mean absolute deviation of 1.61, mean absolute percentage error of 4.67, and the sum of the absolute errors of 98.30.Please note that although there have been many attempts to predict Interloop 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 Interloop's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Interloop Stock Forecast Pattern
Interloop Forecasted Value
In the context of forecasting Interloop'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. Interloop's downside and upside margins for the forecasting period are 91.03 and 95.30, respectively. We have considered Interloop'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 Interloop stock data series using in forecasting. Note that when a statistical model is used to represent Interloop 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 | 119.6521 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.6114 |
| MAPE | Mean absolute percentage error | 0.0196 |
| SAE | Sum of the absolute errors | 98.298 |
Predictive Modules for Interloop
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Interloop. 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.Interloop Estimiated After-Hype Price Volatility
As far as predicting the price of Interloop 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 Interloop 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 Interloop, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Interloop Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Interloop is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Interloop 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 Interloop, 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 |
0.29 | 2.14 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Uncertain |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
90.21 | 90.21 | 0.00 |
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Interloop Hype Timeline
Interloop is currently traded for 90.21on Karachi Stock Exchange of Pakistan. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Interloop is projected 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 projected to be very small, whereas the daily expected return is currently at 0.29%. %. The volatility of related hype on Interloop is about 0.0%, with the expected price after the next announcement by competition of 90.21. Assuming the 90 days trading horizon the next projected press release will be uncertain. Check out Risk vs Return Analysis 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 industry.Interloop Related Hype Analysis
Having access to credible news sources related to Interloop's direct competition is more important than ever and may enhance your ability to predict Interloop's future price movements. Getting to know how Interloop'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 Interloop may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| BAFS | Baba Farid Sugar | 0.00 | 0 per month | 0.00 | (0.05) | 7.26 | (5.98) | 16.10 | |
| MARI | Mari Energies | 0.00 | 0 per month | 0.69 | (0.07) | 1.76 | (1.33) | 4.52 | |
| MTL | Millat Tractors | 0.00 | 0 per month | 0.79 | 0.02 | 2.30 | (1.69) | 5.34 | |
| MCB-CMAR | MCB Bank | 0.00 | 0 per month | 1.10 | 0.08 | 3.23 | (2.28) | 10.58 | |
| TCORPCPS | Tariq CorpPref | 0.00 | 0 per month | 3.90 | 0.17 | 10.03 | (7.71) | 21.10 | |
| POL | Pakistan Oilfields | 0.00 | 0 per month | 0.88 | 0.05 | 2.21 | (1.47) | 10.06 | |
| ARUJ | Aruj Industries | 0.00 | 0 per month | 0.00 | (0.05) | 7.39 | (6.20) | 19.98 | |
| ILP | Interloop | 0.00 | 0 per month | 1.35 | 0.10 | 3.32 | (2.75) | 13.48 | |
| EFERT-CMAR | Engro Fertert | 0.00 | 0 per month | 0.00 | (0.1) | 3.97 | (3.43) | 13.78 | |
| NRL | National Refinery | 0.00 | 0 per month | 1.86 | 0.09 | 5.32 | (3.65) | 14.73 |
Other Forecasting Options for Interloop
For every potential investor in Interloop, whether a beginner or expert, Interloop's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Interloop Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Interloop. Basic forecasting techniques help filter out the noise by identifying Interloop's price trends.Interloop 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 Interloop stock to make a market-neutral strategy. Peer analysis of Interloop could also be used in its relative valuation, which is a method of valuing Interloop by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Interloop Market Strength Events
Market strength indicators help investors to evaluate how Interloop stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Interloop shares will generate the highest return on investment. By undertsting and applying Interloop stock market strength indicators, traders can identify Interloop entry and exit signals to maximize returns.
Interloop Risk Indicators
The analysis of Interloop'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 Interloop's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting interloop 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 | 1.39 | |||
| Semi Deviation | 1.35 | |||
| Standard Deviation | 2.11 | |||
| Variance | 4.45 | |||
| Downside Variance | 2.44 | |||
| Semi Variance | 1.82 | |||
| Expected Short fall | (1.70) |
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 Interloop
The number of cover stories for Interloop depends on current market conditions and Interloop's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Interloop 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 Interloop'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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Additional Tools for Interloop Stock Analysis
When running Interloop's price analysis, check to measure Interloop's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Interloop is operating at the current time. Most of Interloop's value examination focuses on studying past and present price action to predict the probability of Interloop's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Interloop's price. Additionally, you may evaluate how the addition of Interloop to your portfolios can decrease your overall portfolio volatility.