Skyline Stock Overlap Studies Kaufman Adaptive Moving Average

SKY Stock  USD 100.08  1.94  1.98%   
Skyline overlap studies tool provides the execution environment for running the Kaufman Adaptive Moving Average study and other technical functions against Skyline. Skyline 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 Kaufman Adaptive Moving Average study function is designed to identify and follow existing trends. Skyline 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-four with a total number of output elements of thirty-seven. The Kaufman Adaptive Moving Average allows the user to define Skyline range across which they want the smoothing.

Skyline Technical Analysis Modules

Most technical analysis of Skyline 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 Skyline from various momentum indicators to cycle indicators. When you analyze Skyline 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 Skyline 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 Skyline. We use our internally-developed statistical techniques to arrive at the intrinsic value of Skyline based on widely used predictive technical indicators. In general, we focus on analyzing Skyline Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Skyline'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 Skyline's intrinsic value. In addition to deriving basic predictive indicators for Skyline, we also check how macroeconomic factors affect Skyline price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2010 2023 2024 (projected)
Dividend Yield0.06430.03570.0249
Price To Sales Ratio1.642.390.27
Hype
Prediction
LowEstimatedHigh
98.14100.08102.02
Details
Intrinsic
Valuation
LowRealHigh
79.3881.32110.09
Details
Naive
Forecast
LowNextHigh
99.06101.00102.94
Details
6 Analysts
Consensus
LowTargetHigh
66.4373.0081.03
Details

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Skyline in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Skyline's short interest history, or implied volatility extrapolated from Skyline options trading.

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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Additional Tools for Skyline Stock Analysis

When running Skyline's price analysis, check to measure Skyline'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 Skyline is operating at the current time. Most of Skyline's value examination focuses on studying past and present price action to predict the probability of Skyline's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Skyline's price. Additionally, you may evaluate how the addition of Skyline to your portfolios can decrease your overall portfolio volatility.