Maple Leaf Foods Stock Price Prediction
| MLFNF Stock | USD 16.06 0.06 0.37% |
Oversold Vs Overbought
61
Oversold | Overbought |
Using Maple Leaf hype-based prediction, you can estimate the value of Maple Leaf Foods from the perspective of Maple Leaf response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in Maple Leaf to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying Maple because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell pink sheets at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Maple Leaf after-hype prediction price | USD 16.06 |
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.
Maple |
Maple Leaf After-Hype Price Prediction Density Analysis
As far as predicting the price of Maple Leaf 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 Maple Leaf 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 Maple Leaf, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Maple Leaf Estimiated After-Hype Price Volatility
In the context of predicting Maple Leaf's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Maple Leaf's historical news coverage. Maple Leaf's after-hype downside and upside margins for the prediction period are 14.69 and 17.43, respectively. We have considered Maple Leaf'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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Maple Leaf is very steady at this time. Analysis and calculation of next after-hype price of Maple Leaf Foods is based on 3 months time horizon.
Maple Leaf Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Maple Leaf is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Maple Leaf 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 Maple Leaf, 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 |
0.08 | 1.37 | 0.00 | 0.02 | 0 Events / Month | 4 Events / Month | Uncertain |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
16.06 | 16.06 | 0.00 |
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Maple Leaf Hype Timeline
Maple Leaf Foods is now traded for 16.06. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.02. Maple is estimated 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 estimated to be very small, whereas the daily expected return is now at -0.08%. %. The volatility of related hype on Maple Leaf is about 617.12%, with the expected price after the next announcement by competition of 16.04. About 40.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 1.68. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Maple Leaf Foods last dividend was issued on the 7th of December 2022. Assuming the 90 days horizon the next estimated press release will be uncertain. Check out Maple Leaf Basic Forecasting Models to cross-verify your projections.Maple Leaf Related Hype Analysis
Having access to credible news sources related to Maple Leaf's direct competition is more important than ever and may enhance your ability to predict Maple Leaf's future price movements. Getting to know how Maple Leaf'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 Maple Leaf may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| AKO-A | Embotelladora Andina SA | 0.13 | 3 per month | 0.00 | (0.06) | 4.18 | (4.83) | 20.10 | |
| AQPW | Signet International Holdings | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| FIZZ | National Beverage Corp | (0.54) | 7 per month | 1.06 | (0.03) | 2.13 | (1.89) | 6.35 | |
| ASII | PT Astra International | 0.00 | 0 per month | 14.42 | 0.03 | 50.00 | (28.57) | 119.44 | |
| COCO | Vita Coco | 0.12 | 13 per month | 1.48 | 0.20 | 3.72 | (3.13) | 11.39 | |
| KOF | Coca Cola Femsa SAB | (1.43) | 9 per month | 0.00 | (0.19) | 2.21 | (2.27) | 5.30 | |
| CCEP | Coca Cola European Partners | 0.56 | 10 per month | 1.11 | (0.09) | 1.62 | (1.75) | 4.77 | |
| AKO-B | Embotelladora Andina SA | (0.85) | 2 per month | 0.00 | (0.09) | 2.66 | (3.04) | 9.61 | |
| APRU | Apple Rush | 0.00 | 0 per month | 8.51 | 0 | 18.75 | (14.29) | 48.03 | |
| KDP | Keurig Dr Pepper | (0.21) | 11 per month | 0.00 | (0.21) | 1.46 | (2.08) | 6.67 |
Maple Leaf Additional Predictive Modules
Most predictive techniques to examine Maple price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Maple using various technical indicators. When you analyze Maple 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 |
About Maple Leaf Predictive Indicators
The successful prediction of Maple Leaf stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Maple Leaf Foods, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Maple Leaf based on analysis of Maple Leaf hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Maple Leaf's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Maple Leaf's related companies.
Story Coverage note for Maple Leaf
The number of cover stories for Maple Leaf depends on current market conditions and Maple Leaf's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Maple Leaf 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 Maple Leaf'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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Maple Leaf Short Properties
Maple Leaf's future price predictability will typically decrease when Maple Leaf's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Maple Leaf Foods often depends not only on the future outlook of the potential Maple Leaf's 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. Maple Leaf's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 123.9 M |
Complementary Tools for Maple Pink Sheet analysis
When running Maple Leaf's price analysis, check to measure Maple Leaf'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 Maple Leaf is operating at the current time. Most of Maple Leaf's value examination focuses on studying past and present price action to predict the probability of Maple Leaf's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Maple Leaf's price. Additionally, you may evaluate how the addition of Maple Leaf to your portfolios can decrease your overall portfolio volatility.
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