Dollarama Pink Sheet Forecast - 4 Period Moving Average

DLMAF Stock  USD 100.09  1.10  1.11%   
The 4 Period Moving Average forecasted value of Dollarama on the next trading day is expected to be 100.00 with a mean absolute deviation of 1.25 and the sum of the absolute errors of 71.31. Dollarama Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Dollarama's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for Dollarama is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Dollarama 4 Period Moving Average Price Forecast For the 11th of December 2024

Given 90 days horizon, the 4 Period Moving Average forecasted value of Dollarama on the next trading day is expected to be 100.00 with a mean absolute deviation of 1.25, mean absolute percentage error of 2.49, and the sum of the absolute errors of 71.31.
Please note that although there have been many attempts to predict Dollarama 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 Dollarama's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Dollarama Pink Sheet Forecast Pattern

Backtest DollaramaDollarama Price PredictionBuy or Sell Advice 

Dollarama Forecasted Value

In the context of forecasting Dollarama'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. Dollarama's downside and upside margins for the forecasting period are 98.74 and 101.26, respectively. We have considered Dollarama'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.
Market Value
100.09
100.00
Expected Value
101.26
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Dollarama pink sheet data series using in forecasting. Note that when a statistical model is used to represent Dollarama 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 Criteria111.6711
BiasArithmetic mean of the errors -0.025
MADMean absolute deviation1.251
MAPEMean absolute percentage error0.0121
SAESum of the absolute errors71.305
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Dollarama. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Dollarama and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Dollarama

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Dollarama. 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.
Hype
Prediction
LowEstimatedHigh
97.7398.99100.25
Details
Intrinsic
Valuation
LowRealHigh
82.5883.84108.89
Details
Bollinger
Band Projection (param)
LowMiddleHigh
97.86102.06106.27
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Dollarama. Your research has to be compared to or analyzed against Dollarama's peers to derive any actionable benefits. When done correctly, Dollarama's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Dollarama.

Other Forecasting Options for Dollarama

For every potential investor in Dollarama, whether a beginner or expert, Dollarama's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Dollarama Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Dollarama. Basic forecasting techniques help filter out the noise by identifying Dollarama's price trends.

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

Dollarama Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Dollarama's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Dollarama's current price.

Dollarama Market Strength Events

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

Dollarama Risk Indicators

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

Other Information on Investing in Dollarama Pink Sheet

Dollarama financial ratios help investors to determine whether Dollarama Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Dollarama with respect to the benefits of owning Dollarama security.