Granite Point Mortgage Stock Pattern Recognition Evening Star

GPMT Stock  USD 3.52  0.05  1.44%   
Granite Point pattern recognition tool provides the execution environment for running the Evening Star recognition and other technical functions against Granite Point. Granite Point 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 Evening Star recognition function is designed to identify and follow existing trends. Granite Point momentum indicators are usually used to generate trading rules based on assumptions that Granite Point trends in prices tend to continue for long periods. Please specify Penetration to run this model.

The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was twelve with a total number of output elements of fourty-nine. The function did not return any valid pattern recognition events for the selected time horizon. The Evening Star pattern describes Granite Point trend having bearish reversal signal.

Granite Point Technical Analysis Modules

Most technical analysis of Granite Point 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 Granite from various momentum indicators to cycle indicators. When you analyze Granite 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 Granite Point 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 Granite Point Mortgage. We use our internally-developed statistical techniques to arrive at the intrinsic value of Granite Point Mortgage based on widely used predictive technical indicators. In general, we focus on analyzing Granite Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Granite Point'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 Granite Point's intrinsic value. In addition to deriving basic predictive indicators for Granite Point, we also check how macroeconomic factors affect Granite Point price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 2024 (projected)
Dividend Yield0.10.230.190.2
Price To Sales Ratio7.33.631.151.09
Hype
Prediction
LowEstimatedHigh
0.473.526.57
Details
Intrinsic
Valuation
LowRealHigh
0.223.276.32
Details
Naive
Forecast
LowNextHigh
0.483.536.59
Details
4 Analysts
Consensus
LowTargetHigh
6.447.087.86
Details

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Additional Tools for Granite Stock Analysis

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