Jeronimo Martins (Portugal) Pattern Recognition Inverted Hammer

JMT Stock  EUR 18.77  0.32  1.73%   
Jeronimo Martins pattern recognition tool provides the execution environment for running the Inverted Hammer recognition and other technical functions against Jeronimo Martins. Jeronimo Martins 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 Inverted Hammer recognition function is designed to identify and follow existing trends. Jeronimo Martins momentum indicators are usually used to generate trading rules based on assumptions that Jeronimo Martins 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 one valid pattern recognition events for the selected time horizon. The Inverted Hammer pattern indicates that the buyers drove prices of Jeronimo Martins SGPS up, at some point during the period, but encountered selling pressure which drove prices back down to close near to where they opened.

Jeronimo Martins Technical Analysis Modules

Most technical analysis of Jeronimo Martins 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 Jeronimo from various momentum indicators to cycle indicators. When you analyze Jeronimo 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 Jeronimo Martins 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 Jeronimo Martins SGPS. We use our internally-developed statistical techniques to arrive at the intrinsic value of Jeronimo Martins SGPS based on widely used predictive technical indicators. In general, we focus on analyzing Jeronimo Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Jeronimo Martins'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 Jeronimo Martins's intrinsic value. In addition to deriving basic predictive indicators for Jeronimo Martins, we also check how macroeconomic factors affect Jeronimo Martins price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
16.9218.7720.62
Details
Intrinsic
Valuation
LowRealHigh
16.3018.1520.01
Details
Naive
Forecast
LowNextHigh
17.5219.3721.21
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
17.8118.3518.90
Details

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Additional Tools for Jeronimo Stock Analysis

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