D2L Stock Forecast - Naive Prediction

DTOL Stock   16.16  1.07  7.09%   
The Naive Prediction forecasted value of D2L Inc on the next trading day is expected to be 16.19 with a mean absolute deviation of 0.20 and the sum of the absolute errors of 11.94. D2L Stock Forecast is based on your current time horizon. Although D2L's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of D2L's systematic risk associated with finding meaningful patterns of D2L fundamentals over time.
  
At this time, D2L's Payables Turnover is very stable compared to the past year. As of the 1st of December 2024, Receivables Turnover is likely to grow to 8.39, while Inventory Turnover is likely to drop (20.07). . As of the 1st of December 2024, Common Stock Shares Outstanding is likely to drop to about 39.9 M. In addition to that, Net Loss is likely to drop to about (17.4 M).
A naive forecasting model for D2L is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of D2L Inc value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

D2L Naive Prediction Price Forecast For the 2nd of December

Given 90 days horizon, the Naive Prediction forecasted value of D2L Inc on the next trading day is expected to be 16.19 with a mean absolute deviation of 0.20, mean absolute percentage error of 0.06, and the sum of the absolute errors of 11.94.
Please note that although there have been many attempts to predict D2L 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 D2L's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

D2L Stock Forecast Pattern

Backtest D2LD2L Price PredictionBuy or Sell Advice 

D2L Forecasted Value

In the context of forecasting D2L's Stock 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. D2L's downside and upside margins for the forecasting period are 14.09 and 18.28, respectively. We have considered D2L'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
16.16
16.19
Expected Value
18.28
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of D2L stock data series using in forecasting. Note that when a statistical model is used to represent D2L 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 Criteria115.253
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1958
MAPEMean absolute percentage error0.0143
SAESum of the absolute errors11.9442
This model is not at all useful as a medium-long range forecasting tool of D2L Inc. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict D2L. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for D2L

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as D2L Inc. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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
14.0616.1618.26
Details
Intrinsic
Valuation
LowRealHigh
15.8717.9720.07
Details
Bollinger
Band Projection (param)
LowMiddleHigh
14.1515.1716.19
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.110.120.12
Details

Other Forecasting Options for D2L

For every potential investor in D2L, whether a beginner or expert, D2L's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. D2L Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in D2L. Basic forecasting techniques help filter out the noise by identifying D2L's price trends.

D2L 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 D2L stock to make a market-neutral strategy. Peer analysis of D2L could also be used in its relative valuation, which is a method of valuing D2L by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

D2L Inc Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of D2L'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 D2L's current price.

D2L Market Strength Events

Market strength indicators help investors to evaluate how D2L stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading D2L shares will generate the highest return on investment. By undertsting and applying D2L stock market strength indicators, traders can identify D2L Inc entry and exit signals to maximize returns.

D2L Risk Indicators

The analysis of D2L'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 D2L's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting d2l stock 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.

Pair Trading with D2L

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if D2L position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in D2L will appreciate offsetting losses from the drop in the long position's value.

Moving together with D2L Stock

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  0.82AMZN Amazon CDRPairCorr

Moving against D2L Stock

  0.4CVS CVS HEALTH CDRPairCorr
The ability to find closely correlated positions to D2L could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace D2L when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back D2L - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling D2L Inc to buy it.
The correlation of D2L is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as D2L moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if D2L Inc moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for D2L can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in D2L Stock

D2L financial ratios help investors to determine whether D2L Stock 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 D2L with respect to the benefits of owning D2L security.