Borregaard ASA Pink Sheet Forecast - Polynomial Regression

BRRDFDelisted Stock  USD 18.30  0.00  0.00%   
The Polynomial Regression forecasted value of Borregaard ASA on the next trading day is expected to be 18.30 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.32. Borregaard Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Borregaard ASA's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 11th of January 2026 the relative strength index (rsi) of Borregaard ASA'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
The successful prediction of Borregaard ASA'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 Borregaard ASA and does not consider all of the tangible or intangible factors available from Borregaard ASA's fundamental data. We analyze noise-free headlines and recent hype associated with Borregaard ASA, which may create opportunities for some arbitrage if properly timed.
Using Borregaard ASA hype-based prediction, you can estimate the value of Borregaard ASA from the perspective of Borregaard ASA response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Borregaard ASA on the next trading day is expected to be 18.30 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.32.

Borregaard ASA after-hype prediction price

    
  USD 18.3  
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.
  
Check out Trending Equities 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 american community survey.

Borregaard ASA Additional Predictive Modules

Most predictive techniques to examine Borregaard price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Borregaard using various technical indicators. When you analyze Borregaard 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.
Borregaard ASA polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Borregaard ASA as well as the accuracy indicators are determined from the period prices.

Borregaard ASA Polynomial Regression Price Forecast For the 12th of January 2026

Given 90 days horizon, the Polynomial Regression forecasted value of Borregaard ASA on the next trading day is expected to be 18.30 with a mean absolute deviation of 0.04, mean absolute percentage error of 0.03, and the sum of the absolute errors of 2.32.
Please note that although there have been many attempts to predict Borregaard 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 Borregaard ASA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Borregaard ASA Pink Sheet Forecast Pattern

Backtest Borregaard ASABorregaard ASA Price PredictionBuy or Sell Advice 

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 Borregaard ASA pink sheet data series using in forecasting. Note that when a statistical model is used to represent Borregaard ASA 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 Criteria114.7548
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0381
MAPEMean absolute percentage error0.0021
SAESum of the absolute errors2.3214
A single variable polynomial regression model attempts to put a curve through the Borregaard ASA historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Borregaard ASA

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Borregaard ASA. 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 Borregaard ASA'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.
Hype
Prediction
LowEstimatedHigh
18.3018.3018.30
Details
Intrinsic
Valuation
LowRealHigh
15.6115.6120.13
Details
Bollinger
Band Projection (param)
LowMiddleHigh
18.3018.3018.30
Details

Borregaard ASA 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 Borregaard ASA pink sheet to make a market-neutral strategy. Peer analysis of Borregaard ASA could also be used in its relative valuation, which is a method of valuing Borregaard ASA by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Borregaard ASA Market Strength Events

Market strength indicators help investors to evaluate how Borregaard ASA 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 Borregaard ASA shares will generate the highest return on investment. By undertsting and applying Borregaard ASA pink sheet market strength indicators, traders can identify Borregaard ASA entry and exit signals to maximize returns.

Borregaard ASA Risk Indicators

The analysis of Borregaard ASA'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 Borregaard ASA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting borregaard 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.
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.

Currently Active Assets on Macroaxis

Check out Trending Equities 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 american community survey.
You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.

Other Consideration for investing in Borregaard Pink Sheet

If you are still planning to invest in Borregaard ASA check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Borregaard ASA's history and understand the potential risks before investing.
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