Koninklijke Ahold OTC Stock Forecast - Polynomial Regression

ADRNYDelisted Stock  USD 34.66  0.11  0.32%   
The Polynomial Regression forecasted value of Koninklijke Ahold Delhaize on the next trading day is expected to be 35.39 with a mean absolute deviation of 0.45 and the sum of the absolute errors of 27.48. Koninklijke OTC Stock Forecast is based on your current time horizon.
  
Koninklijke Ahold polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Koninklijke Ahold Delhaize as well as the accuracy indicators are determined from the period prices.

Koninklijke Ahold Polynomial Regression Price Forecast For the 30th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Koninklijke Ahold Delhaize on the next trading day is expected to be 35.39 with a mean absolute deviation of 0.45, mean absolute percentage error of 0.29, and the sum of the absolute errors of 27.48.
Please note that although there have been many attempts to predict Koninklijke OTC Stock 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 Koninklijke Ahold's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Koninklijke Ahold OTC Stock Forecast Pattern

Backtest Koninklijke AholdKoninklijke Ahold 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 Koninklijke Ahold otc stock data series using in forecasting. Note that when a statistical model is used to represent Koninklijke Ahold otc stock, 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 Criteria116.8752
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4505
MAPEMean absolute percentage error0.0136
SAESum of the absolute errors27.4794
A single variable polynomial regression model attempts to put a curve through the Koninklijke Ahold 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 Koninklijke Ahold

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Koninklijke Ahold. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc stock 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.
Hype
Prediction
LowEstimatedHigh
34.6634.6634.66
Details
Intrinsic
Valuation
LowRealHigh
28.7928.7938.13
Details
Bollinger
Band Projection (param)
LowMiddleHigh
32.6934.0135.32
Details

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

Koninklijke Ahold Market Strength Events

Market strength indicators help investors to evaluate how Koninklijke Ahold otc stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Koninklijke Ahold shares will generate the highest return on investment. By undertsting and applying Koninklijke Ahold otc stock market strength indicators, traders can identify Koninklijke Ahold Delhaize entry and exit signals to maximize returns.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any otc stock could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
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 Koninklijke OTC Stock

If you are still planning to invest in Koninklijke Ahold 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 Koninklijke Ahold's history and understand the potential risks before investing.
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