Dollar Tree Stock Overlap Studies MAVP

DLTR Stock  USD 66.40  0.64  0.97%   
Dollar Tree overlap studies tool provides the execution environment for running the MAVP study and other technical functions against Dollar Tree. Dollar Tree value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of overlap studies indicators. As with most other technical indicators, the MAVP study function is designed to identify and follow existing trends. Dollar Tree overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Minimum Period, Maximum Period and MA Type to execute this model.

The output start index for this execution was twenty-nine with a total number of output elements of thirty-two.

Dollar Tree Technical Analysis Modules

Most technical analysis of Dollar Tree help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Dollar from various momentum indicators to cycle indicators. When you analyze Dollar 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.

About Dollar Tree Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Dollar Tree. We use our internally-developed statistical techniques to arrive at the intrinsic value of Dollar Tree based on widely used predictive technical indicators. In general, we focus on analyzing Dollar Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Dollar Tree's daily price indicators and compare them against related drivers, such as overlap studies and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Dollar Tree's intrinsic value. In addition to deriving basic predictive indicators for Dollar Tree, we also check how macroeconomic factors affect Dollar Tree price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2010 2024 (projected)
Dividend Yield4.4E-43.52E-4
Price To Sales Ratio1.411.19
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
62.5366.3670.19
Details
Intrinsic
Valuation
LowRealHigh
59.7685.3689.19
Details
Naive
Forecast
LowNextHigh
60.4164.2468.07
Details
29 Analysts
Consensus
LowTargetHigh
136.65150.17166.69
Details

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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.