Dollar Tree Stock Forecast - Triple Exponential Smoothing

DLTR Stock  USD 63.54  1.13  1.81%   
The Triple Exponential Smoothing forecasted value of Dollar Tree on the next trading day is expected to be 62.15 with a mean absolute deviation of 1.94 and the sum of the absolute errors of 116.66. Dollar Stock Forecast is based on your current time horizon. Although Dollar Tree's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Dollar Tree's systematic risk associated with finding meaningful patterns of Dollar Tree fundamentals over time.
  
At this time, Dollar Tree's Payables Turnover is relatively stable compared to the past year. As of 11/08/2024, Fixed Asset Turnover is likely to grow to 6.76, while Inventory Turnover is likely to drop 4.14. . As of 11/08/2024, Net Income Applicable To Common Shares is likely to grow to about 2 B, while Common Stock Shares Outstanding is likely to drop slightly above 218.2 M.

Open Interest Against 2024-11-08 Dollar Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Dollar Tree's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Dollar Tree's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Dollar Tree stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Dollar Tree's open interest, investors have to compare it to Dollar Tree's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Dollar Tree is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Dollar. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Triple exponential smoothing for Dollar Tree - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Dollar Tree prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Dollar Tree price movement. However, neither of these exponential smoothing models address any seasonality of Dollar Tree.

Dollar Tree Triple Exponential Smoothing Price Forecast For the 9th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Dollar Tree on the next trading day is expected to be 62.15 with a mean absolute deviation of 1.94, mean absolute percentage error of 10.33, and the sum of the absolute errors of 116.66.
Please note that although there have been many attempts to predict Dollar 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 Dollar Tree's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Dollar Tree Stock Forecast Pattern

Backtest Dollar TreeDollar Tree Price PredictionBuy or Sell Advice 

Dollar Tree Forecasted Value

In the context of forecasting Dollar Tree'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. Dollar Tree's downside and upside margins for the forecasting period are 58.36 and 65.95, respectively. We have considered Dollar Tree'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
63.54
62.15
Expected Value
65.95
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Dollar Tree stock data series using in forecasting. Note that when a statistical model is used to represent Dollar Tree 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 CriteriaHuge
BiasArithmetic mean of the errors 0.242
MADMean absolute deviation1.9443
MAPEMean absolute percentage error0.027
SAESum of the absolute errors116.6588
As with simple exponential smoothing, in triple exponential smoothing models past Dollar Tree observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Dollar Tree observations.

Predictive Modules for Dollar Tree

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Dollar Tree. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dollar Tree'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
59.9863.7867.58
Details
Intrinsic
Valuation
LowRealHigh
57.1984.5588.35
Details
Bollinger
Band Projection (param)
LowMiddleHigh
62.8966.3169.73
Details
29 Analysts
Consensus
LowTargetHigh
136.65150.17166.69
Details

Other Forecasting Options for Dollar Tree

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

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

Dollar Tree 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 Dollar Tree'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 Dollar Tree's current price.

Dollar Tree Market Strength Events

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

Dollar Tree Risk Indicators

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

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 Dollar Tree 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 Dollar Tree will appreciate offsetting losses from the drop in the long position's value.

Moving together with Dollar Stock

  0.96DG Dollar GeneralPairCorr
  0.79GO Grocery Outlet HoldingPairCorr

Moving against Dollar Stock

  0.82WMT Walmart Aggressive PushPairCorr
  0.68KR Kroger CompanyPairCorr
  0.68LW Lamb Weston HoldingsPairCorr
  0.62PM Philip Morris InternPairCorr
  0.61TR Tootsie Roll IndustriesPairCorr
The ability to find closely correlated positions to Dollar Tree could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dollar Tree 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 Dollar Tree - 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 Dollar Tree to buy it.
The correlation of Dollar Tree 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 Dollar Tree moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dollar Tree 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 Dollar Tree 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

Additional Tools for Dollar Stock Analysis

When running Dollar Tree's price analysis, check to measure Dollar Tree's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Dollar Tree is operating at the current time. Most of Dollar Tree's value examination focuses on studying past and present price action to predict the probability of Dollar Tree's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Dollar Tree's price. Additionally, you may evaluate how the addition of Dollar Tree to your portfolios can decrease your overall portfolio volatility.