WildBrain Pink Sheet Forward View - Simple Regression

WLDBF Stock  USD 0.95  0.01  1.06%   
The successful prediction of WildBrain's future price could yield a significant profit. Please note that this module is not intended to be used solely to calculate an intrinsic value of WildBrain and does not consider all of the tangible or intangible factors available from.
Currently, the momentum strength indicator for WildBrain stands at 47, indicating moderately negative momentum. Momentum in this band leans bearish but lacks the intensity that typically precedes a sharp move lower.
Momentum
 Impartial
 
Oversold
 
Overbought
The successful prediction of WildBrain's future price could yield a significant profit. Please note that this module is not intended to be used solely to calculate an intrinsic value of WildBrain and does not consider all of the tangible or intangible factors available from.
This section relates WildBrain headline activity to recent price behavior and peer context.
The Simple Regression forecasted value of WildBrain on the next trading day is expected to be 0.90 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.50.
WildBrain after-hype prediction price
    
  $ 0.95  
This module presents attention signals alongside forecasting, technical analysis, analyst consensus, and earnings.
  
Cross-verify projections for WildBrain using Historical Fundamental Analysis of WildBrain. The view provides historical context for the projection set.

WildBrain Additional Predictive Modules

Most predictive techniques to examine WildBrain price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for WildBrain using various technical indicators. When you analyze WildBrain 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through WildBrain price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Simple Regression Price Forecast For the 17th of March 2026

Given 90 days horizon, the Simple Regression forecasted value of WildBrain on the next trading day is expected to be 0.90 with a mean absolute deviation of 0.07 , mean absolute percentage error of 0.01 , and the sum of the absolute errors of 4.50 .
Please note that although there have been many attempts to predict WildBrain Pink Sheet 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 WildBrain's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Pink Sheet Forecast Pattern

Backtest WildBrain  WildBrain Price Prediction  Research Analysis  

Forecasted Value

The next-day forecast for WildBrain focuses on identifying predictive downside and upside bands that can frame a realistic trading range. The projected forecast band currently runs from roughly 0.01 on the downside to about 7.14 on the upside.
Market Value
0.95
0.90
Expected Value
7.14
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of WildBrain pink sheet data series using in forecasting. Note that when a statistical model is used to represent WildBrain 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.
AICAkaike Information Criteria113.3477
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0737
MAPEMean absolute percentage error0.0677
SAESum of the absolute errors4.4971
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as WildBrain historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.
Mean reversion is the tendency of WildBrain's price to return to its historical average after periods of extreme deviation. Investors who identify when WildBrain's is significantly above or below its mean may find compelling entry or exit opportunities.
Hype
Prediction
LowEstimatedHigh
0.050.957.18
Details
Intrinsic
Valuation
LowRealHigh
0.040.897.12
Details
Analyzing WildBrain in isolation is insufficient for informed investment decisions. Placing WildBrain's results in the context of its peer group reveals whether its performance is company-specific or simply a function of industry-wide trends.

After-Hype Price Density Analysis

This probability density chart for WildBrain shows how predicted future prices are distributed across a range of outcomes. Wider distributions reflect higher uncertainty, while narrow distributions indicate greater consensus about WildBrain's likely price range.
   Next price density   
       Expected price to next headline  

Estimiated After-Hype Price Volatility

Historical news analysis for WildBrain provides statistically derived price boundaries for the session following a significant headline. WildBrain's after-hype downside and upside margins for the prediction period are 0.05 and 7.18, respectively. These boundaries are derived from WildBrain's past price reactions to comparable news events, not forward-looking forecasts.
Current Value
0.95
0.95
After-hype Price
7.18
Upside
The next after-hype price estimate for WildBrain is modeled on a 3 months horizon and is intended to show how price could normalize after sentiment pressure fades. The practical value is that it frames how far price could retrace or stabilize once the headline cycle loses intensity.

Price Outlook Analysis

Have you ever been surprised when a price of a Company such as WildBrain is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading WildBrain 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 WildBrain, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.09 
6.23
 0.00  
 0.00  
0 Events
0 Events
Any time
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
0.95
0.95
0.00 
0.00  
Notes

Hype Timeline

WildBrain is at this time traded for 0.95. The company stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. WildBrain 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 at this time at 0.09%. %. The volatility of related hype on WildBrain is about 0.0%, with the expected price after the next announcement by competition of 0.95. About 49.0% of the company outstanding shares are owned by institutional investors. The company had its last dividend issued on the 24th of May 2018. WildBrain completed a 578:555 stock split on 17th of October 2019. Assuming a 90-day horizon the next forecasted press release will be any time.
Cross-verify projections for WildBrain using Historical Fundamental Analysis of WildBrain. The view provides historical context for the projection set.

Related Hype Analysis

Monitoring how WildBrain's competitors respond to market-moving news provides a leading indicator for how WildBrain itself may react to similar events. Peer hype analysis captures this cross-asset sentiment signal.

Other Forecasting Options for WildBrain

For investors of all experience levels considering WildBrain, understanding WildBrain's price movement is fundamental to making sound investment decisions. WildBrain Pink Sheet price charts contain significant noise that can obscure meaningful trends.

WildBrain Related Equities

The following equities are related to WildBrain within the Entertainment space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing WildBrain against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
 Risk & Return  Correlation

WildBrain Market Strength Events

Market strength indicators for WildBrain pink sheet provide investors with a framework for assessing how the security responds to changing market conditions. These indicators help determine optimal entry and exit points for trading WildBrain.

WildBrain Risk Indicators

Assessing WildBrain's risk indicators is a critical component of any rigorous approach to forecasting its future price. Understanding the risk involved in holding WildBrain's allows investors to make an informed decision about whether to accept or mitigate that exposure.
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 WildBrain

Coverage intensity for WildBrain matters because narrative visibility can influence sentiment, participation, and volatility around the name. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.

Other Macroaxis Stories

Macroaxis publishes story content for a diverse readership that includes finance students, independent investors, money managers, and market-focused operating teams. What connects that audience is a focus on building stronger portfolios through better research, risk awareness, and comparative analysis.

WildBrain Short Properties

Reviewing short-oriented indicators for WildBrain is useful because long and short participants often create very different signals for timing and volatility. A disciplined short-interest review can make timing decisions more informed under rising skepticism.
Common Stock Shares Outstanding197.4 M
Cash And Short Term Investments59.9 M

More Resources for WildBrain Pink Sheet Analysis

Other Information on Investing in WildBrain Pink Sheet

WildBrain financial ratios provide valuation context across profits, cash flow, and enterprise value. They help compare WildBrain across valuation measures and peers.