Loblaw Companies Pink Sheet Forecast - Polynomial Regression
| LBLCF Stock | USD 44.80 0.52 1.15% |
Loblaw Pink Sheet outlook is based on your current time horizon. We recommend always using this module together with an analysis of Loblaw Companies' historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 28th of January 2026, The relative strength index (RSI) of Loblaw Companies' share price is at 56. This indicates that the pink sheet is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Loblaw Companies, making its price go up or down. Momentum 56
Buy Extended
Oversold | Overbought |
Using Loblaw Companies hype-based prediction, you can estimate the value of Loblaw Companies Limited from the perspective of Loblaw Companies response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Loblaw Companies Limited on the next trading day is expected to be 45.34 with a mean absolute deviation of 0.40 and the sum of the absolute errors of 24.89. Loblaw Companies after-hype prediction price | USD 44.8 |
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.
Loblaw |
Loblaw Companies Additional Predictive Modules
Most predictive techniques to examine Loblaw price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Loblaw using various technical indicators. When you analyze Loblaw 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 |
Loblaw Companies Polynomial Regression Price Forecast For the 29th of January
Given 90 days horizon, the Polynomial Regression forecasted value of Loblaw Companies Limited on the next trading day is expected to be 45.34 with a mean absolute deviation of 0.40, mean absolute percentage error of 0.27, and the sum of the absolute errors of 24.89.Please note that although there have been many attempts to predict Loblaw 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 Loblaw Companies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Loblaw Companies Pink Sheet Forecast Pattern
| Backtest Loblaw Companies | Loblaw Companies Price Prediction | Buy or Sell Advice |
Loblaw Companies Forecasted Value
In the context of forecasting Loblaw Companies' 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. Loblaw Companies' downside and upside margins for the forecasting period are 44.05 and 46.64, respectively. We have considered Loblaw Companies' 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 Loblaw Companies pink sheet data series using in forecasting. Note that when a statistical model is used to represent Loblaw Companies 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 | 118.6218 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.4015 |
| MAPE | Mean absolute percentage error | 0.0093 |
| SAE | Sum of the absolute errors | 24.8936 |
Predictive Modules for Loblaw Companies
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Loblaw Companies. 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 Loblaw Companies' 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.
Loblaw Companies After-Hype Price Density Analysis
As far as predicting the price of Loblaw Companies 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 Loblaw Companies 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 Loblaw Companies, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Loblaw Companies Estimiated After-Hype Price Volatility
In the context of predicting Loblaw Companies' pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Loblaw Companies' historical news coverage. Loblaw Companies' after-hype downside and upside margins for the prediction period are 43.51 and 46.09, respectively. We have considered Loblaw Companies' 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
Loblaw Companies is very steady at this time. Analysis and calculation of next after-hype price of Loblaw Companies is based on 3 months time horizon.
Loblaw Companies Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Loblaw Companies is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Loblaw Companies 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 Loblaw Companies, 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 |
0.22 | 1.29 | 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 | |
44.80 | 44.80 | 0.00 |
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Loblaw Companies Hype Timeline
Loblaw Companies is now traded for 44.80. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Loblaw 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 now at 0.22%. %. The volatility of related hype on Loblaw Companies is about 0.0%, with the expected price after the next announcement by competition of 44.80. About 54.0% of the company outstanding shares are owned by corporate insiders. The book value of Loblaw Companies was now reported as 34.21. The company has Price/Earnings To Growth (PEG) ratio of 1.71. Loblaw Companies last dividend was issued on the 14th of December 2022. The entity had 3:1 split on the 8th of May 1996. Assuming the 90 days horizon the next forecasted press release will be uncertain. Check out Historical Fundamental Analysis of Loblaw Companies to cross-verify your projections.Loblaw Companies Related Hype Analysis
Having access to credible news sources related to Loblaw Companies' direct competition is more important than ever and may enhance your ability to predict Loblaw Companies' future price movements. Getting to know how Loblaw Companies' 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 Loblaw Companies may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CPPCY | CP All PCL | 0.00 | 0 per month | 0.00 | (0.01) | 3.64 | (2.52) | 16.98 | |
| JSAIY | J Sainsbury PLC | 0.00 | 0 per month | 1.90 | (0.03) | 2.01 | (2.10) | 13.57 | |
| CRRFY | Carrefour SA PK | 0.00 | 0 per month | 0.91 | 0.06 | 1.69 | (1.90) | 6.76 | |
| WNGRF | George Weston Limited | 0.00 | 0 per month | 0.57 | 0.07 | 1.70 | (0.90) | 6.99 | |
| CRERF | Carrefour SA | 0.00 | 0 per month | 1.55 | 0.01 | 4.56 | (3.84) | 19.82 | |
| JSNSF | J Sainsbury plc | 0.00 | 0 per month | 3.72 | 0.01 | 7.38 | (8.37) | 27.86 | |
| JRONF | Jernimo Martins SGPS | 0.00 | 0 per month | 0.00 | (0.18) | 0.00 | 0.00 | 11.39 | |
| KNBWY | Kirin Holdings Co | 0.00 | 0 per month | 0.96 | 0.05 | 3.15 | (1.90) | 5.63 | |
| CVPBF | CP ALL Public | 0.00 | 0 per month | 2.86 | 0.04 | 5.71 | (5.71) | 40.66 | |
| MTRAF | Metro Inc | 0.00 | 0 per month | 1.02 | (0.06) | 1.85 | (2.30) | 6.57 |
Other Forecasting Options for Loblaw Companies
For every potential investor in Loblaw, whether a beginner or expert, Loblaw Companies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Loblaw Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Loblaw. Basic forecasting techniques help filter out the noise by identifying Loblaw Companies' price trends.Loblaw Companies 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 Loblaw Companies pink sheet to make a market-neutral strategy. Peer analysis of Loblaw Companies could also be used in its relative valuation, which is a method of valuing Loblaw Companies by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Loblaw Companies Market Strength Events
Market strength indicators help investors to evaluate how Loblaw Companies 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 Loblaw Companies shares will generate the highest return on investment. By undertsting and applying Loblaw Companies pink sheet market strength indicators, traders can identify Loblaw Companies Limited entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 44.8 | |||
| Day Typical Price | 44.8 | |||
| Price Action Indicator | (0.26) | |||
| Period Momentum Indicator | (0.52) | |||
| Relative Strength Index | 56.44 |
Loblaw Companies Risk Indicators
The analysis of Loblaw Companies' 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 Loblaw Companies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting loblaw 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 | 0.9729 | |||
| Semi Deviation | 1.07 | |||
| Standard Deviation | 1.36 | |||
| Variance | 1.85 | |||
| Downside Variance | 1.56 | |||
| Semi Variance | 1.15 | |||
| Expected Short fall | (1.14) |
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 Loblaw Companies
The number of cover stories for Loblaw Companies depends on current market conditions and Loblaw Companies' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Loblaw Companies 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 Loblaw Companies' 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 Loblaw Pink Sheet
Loblaw Companies financial ratios help investors to determine whether Loblaw 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 Loblaw with respect to the benefits of owning Loblaw Companies security.