Packages (Pakistan) Overlap Studies Double Exponential Moving Average

PKGS Stock   652.00  12.55  1.96%   
Packages overlap studies tool provides the execution environment for running the Double Exponential Moving Average study and other technical functions against Packages. Packages 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 Double Exponential Moving Average study function is designed to identify and follow existing trends. Packages overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Time Period to run this model.

The output start index for this execution was twenty-two with a total number of output elements of thirty-nine. The Double Exponential Moving Average indicator was developed by Patrick Mulloy. It consists of a single exponential moving average and a double exponential moving average. This indicator is more responsive to Packages changes than the simple moving average.

Packages Technical Analysis Modules

Most technical analysis of Packages 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 Packages from various momentum indicators to cycle indicators. When you analyze Packages 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 Packages 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 Packages. We use our internally-developed statistical techniques to arrive at the intrinsic value of Packages based on widely used predictive technical indicators. In general, we focus on analyzing Packages Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Packages'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 Packages's intrinsic value. In addition to deriving basic predictive indicators for Packages, we also check how macroeconomic factors affect Packages price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
649.26652.00654.74
Details
Intrinsic
Valuation
LowRealHigh
586.80702.81705.55
Details
Naive
Forecast
LowNextHigh
641.08643.81646.55
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
455.93562.20668.47
Details

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Trending Themes

If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.
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Other Information on Investing in Packages Stock

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