BCE Pink Sheet Forecast - Simple Exponential Smoothing
| BCEXF Stock | USD 10.00 0.00 0.00% |
The Simple Exponential Smoothing forecasted value of BCE Inc on the next trading day is expected to be 10.00 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.15. BCE Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of BCE's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 23rd of January 2026 the relative strength index (rsi) of BCE's share price is below 20 suggesting 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 BCE hype-based prediction, you can estimate the value of BCE Inc from the perspective of BCE response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of BCE Inc on the next trading day is expected to be 10.00 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.15. BCE after-hype prediction price | USD 10.0 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
BCE |
BCE Additional Predictive Modules
Most predictive techniques to examine BCE price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for BCE using various technical indicators. When you analyze BCE 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 |
BCE Simple Exponential Smoothing Price Forecast For the 24th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of BCE Inc on the next trading day is expected to be 10.00 with a mean absolute deviation of 0, mean absolute percentage error of 0.0004, and the sum of the absolute errors of 0.15.Please note that although there have been many attempts to predict BCE 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 BCE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
BCE Pink Sheet Forecast Pattern
| Backtest BCE | BCE Price Prediction | Buy or Sell Advice |
BCE Forecasted Value
In the context of forecasting BCE's 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. BCE's downside and upside margins for the forecasting period are 9.81 and 10.19, respectively. We have considered BCE'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 BCE pink sheet data series using in forecasting. Note that when a statistical model is used to represent BCE 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 | 108.384 |
| Bias | Arithmetic mean of the errors | -0.0025 |
| MAD | Mean absolute deviation | 0.0025 |
| MAPE | Mean absolute percentage error | 3.0E-4 |
| SAE | Sum of the absolute errors | 0.15 |
Predictive Modules for BCE
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BCE Inc. 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 BCE's 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.
BCE After-Hype Price Prediction Density Analysis
As far as predicting the price of BCE 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 BCE 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 BCE, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
BCE Estimiated After-Hype Price Volatility
In the context of predicting BCE's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on BCE's historical news coverage. BCE's after-hype downside and upside margins for the prediction period are 9.81 and 10.19, respectively. We have considered BCE'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
BCE is very steady at this time. Analysis and calculation of next after-hype price of BCE Inc is based on 3 months time horizon.
BCE Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as BCE is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading BCE 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 BCE, 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 |
0.02 | 0.19 | 0.00 | 0.00 | 12 Events / Month | 3 Events / Month | In about 12 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
10.00 | 10.00 | 0.00 |
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BCE Hype Timeline
BCE Inc is currently traded for 10.00. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. BCE is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is currently at 0.02%. %. The volatility of related hype on BCE is about 1662.5%, with the expected price after the next announcement by competition of 10.00. About 34.0% of the company shares are held by institutions such as insurance companies. The company last dividend was issued on the 27th of February 2023. Assuming the 90 days horizon the next anticipated press release will be in about 12 days. Check out Historical Fundamental Analysis of BCE to cross-verify your projections.BCE Related Hype Analysis
Having access to credible news sources related to BCE's direct competition is more important than ever and may enhance your ability to predict BCE's future price movements. Getting to know how BCE'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 BCE may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| KKPNF | Koninklijke KPN NV | 0.05 | 8 per month | 0.00 | (0.08) | 3.58 | (3.21) | 10.94 | |
| KKPNY | Koninklijke KPN NV | 0.00 | 0 per month | 0.00 | (0.13) | 1.80 | (1.74) | 6.40 | |
| MTNOY | MTN Group Ltd | 0.00 | 0 per month | 1.64 | 0.08 | 3.31 | (2.58) | 10.09 | |
| TELNY | Telenor ASA ADR | 0.00 | 0 per month | 0.00 | (0.09) | 1.76 | (1.63) | 8.72 | |
| HLTOY | Hellenic Telecommunications Org | 0.05 | 6 per month | 1.05 | 0.01 | 2.63 | (1.95) | 6.81 | |
| TLSNY | Telia Company AB | (0.23) | 21 per month | 0.74 | 0.1 | 2.49 | (1.49) | 10.40 | |
| YAHOF | Z Holdings | 0.05 | 3 per month | 0.00 | (0.04) | 1.59 | (7.38) | 29.02 |
Other Forecasting Options for BCE
For every potential investor in BCE, whether a beginner or expert, BCE's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. BCE Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in BCE. Basic forecasting techniques help filter out the noise by identifying BCE's price trends.BCE 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 BCE pink sheet to make a market-neutral strategy. Peer analysis of BCE could also be used in its relative valuation, which is a method of valuing BCE by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
BCE Market Strength Events
Market strength indicators help investors to evaluate how BCE 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 BCE shares will generate the highest return on investment. By undertsting and applying BCE pink sheet market strength indicators, traders can identify BCE Inc entry and exit signals to maximize returns.
BCE Risk Indicators
The analysis of BCE'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 BCE's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bce 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 | 0.0454 | |||
| Standard Deviation | 0.1874 | |||
| Variance | 0.0351 |
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 BCE
The number of cover stories for BCE depends on current market conditions and BCE's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that BCE 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 BCE's 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
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BCE Short Properties
BCE's future price predictability will typically decrease when BCE's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of BCE Inc often depends not only on the future outlook of the potential BCE'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. BCE's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 912 M | |
| Dividends Paid | 3.4 B | |
| Short Long Term Debt | 4.1 B | |
| Forward Annual Dividend Rate | 0.58 |
Additional Information and Resources on Investing in BCE Pink Sheet
When determining whether BCE Inc is a strong investment it is important to analyze BCE's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact BCE's future performance. For an informed investment choice regarding BCE Pink Sheet, refer to the following important reports:Check out Historical Fundamental Analysis of BCE to cross-verify your projections. You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.