Supply Network (Australia) Overlap Studies Parabolic SAR Extended

SNL Stock   32.40  0.24  0.74%   
Supply Network overlap studies tool provides the execution environment for running the Parabolic SAR Extended study and other technical functions against Supply Network. Supply Network 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 Parabolic SAR Extended study function is designed to identify and follow existing trends. Supply Network overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify the following input to run this model: Start Value, Offset on Reverse, AF Init Long, AF Long, AF Max Long, AF Init Short, AF Short, and AF Max Short.

Study
Start Value
Offset on Reverse
AF Init Long
AF Long
AF Max Long
AF Init Short
AF Short
AF Max Short
Execute Study
The output start index for this execution was one with a total number of output elements of sixty. The Extended Parabolic SAR indicator is used to determine the direction of Supply Network's momentum and the point in time when it has higher than normal probability of directional change. It has more input parameters than standard Parabolic SAR indicator.

Supply Network Technical Analysis Modules

Most technical analysis of Supply Network 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 Supply from various momentum indicators to cycle indicators. When you analyze Supply 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 Supply Network 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 Supply Network. We use our internally-developed statistical techniques to arrive at the intrinsic value of Supply Network based on widely used predictive technical indicators. In general, we focus on analyzing Supply Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Supply Network'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 Supply Network's intrinsic value. In addition to deriving basic predictive indicators for Supply Network, we also check how macroeconomic factors affect Supply Network price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
30.7232.4134.10
Details
Intrinsic
Valuation
LowRealHigh
30.0431.7333.42
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.160.160.16
Details

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Additional Tools for Supply Stock Analysis

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