Super Retail (Australia) Pattern Recognition Harami Cross Pattern

SUL Stock   14.73  0.08  0.54%   
Super Retail pattern recognition tool provides the execution environment for running the Harami Cross Pattern recognition and other technical functions against Super Retail. Super Retail 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 pattern recognition indicators. As with most other technical indicators, the Harami Cross Pattern recognition function is designed to identify and follow existing trends. Super Retail momentum indicators are usually used to generate trading rules based on assumptions that Super Retail trends in prices tend to continue for long periods.

Recognition
The output start index for this execution was eleven with a total number of output elements of fifty. The function generated a total of three valid pattern recognition events for the selected time horizon. The Harami Cross pattern describes Super Retail bullish reversal trend.

Super Retail Technical Analysis Modules

Most technical analysis of Super Retail 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 Super from various momentum indicators to cycle indicators. When you analyze Super 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 Super Retail 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 Super Retail Group. We use our internally-developed statistical techniques to arrive at the intrinsic value of Super Retail Group based on widely used predictive technical indicators. In general, we focus on analyzing Super Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Super Retail's daily price indicators and compare them against related drivers, such as pattern recognition 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 Super Retail's intrinsic value. In addition to deriving basic predictive indicators for Super Retail, we also check how macroeconomic factors affect Super Retail price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
13.0114.7516.49
Details
Intrinsic
Valuation
LowRealHigh
13.7715.5117.25
Details
Naive
Forecast
LowNextHigh
12.5114.2516.00
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.260.270.28
Details

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Additional Tools for Super Stock Analysis

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