Federal Realty Investment Stock Math Operators Lowest and highest values over a specified period

FRT Stock  USD 114.40  1.25  1.10%   
Federal Realty math operators tool provides the execution environment for running the Lowest and highest values over a specified period operator and other technical functions against Federal Realty. Federal Realty 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 math operators indicators. As with most other technical indicators, the Lowest and highest values over a specified period operator function is designed to identify and follow existing trends and Agree Realty. Math Operators module provides interface to determine different price movement patterns of similar pairs of equity instruments such as Agree Realty and Federal Realty. Please specify Time Period to run this model.

The output start index for this execution was nineteen with a total number of output elements of fourty-two. The Lowest and highest values over a specified period plots line showing minimum and maximum value of Federal Realty Investment price series.

Federal Realty Technical Analysis Modules

Most technical analysis of Federal Realty 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 Federal from various momentum indicators to cycle indicators. When you analyze Federal 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 Federal Realty 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 Federal Realty Investment. We use our internally-developed statistical techniques to arrive at the intrinsic value of Federal Realty Investment based on widely used predictive technical indicators. In general, we focus on analyzing Federal Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Federal Realty's daily price indicators and compare them against related drivers, such as math operators 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 Federal Realty's intrinsic value. In addition to deriving basic predictive indicators for Federal Realty, we also check how macroeconomic factors affect Federal Realty price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 (projected)
Dividend Yield0.03180.0430.0429
Price To Sales Ratio11.087.517.4
Hype
Prediction
LowEstimatedHigh
113.47114.40115.33
Details
Intrinsic
Valuation
LowRealHigh
109.76110.69125.84
Details
Naive
Forecast
LowNextHigh
113.16114.09115.01
Details
17 Analysts
Consensus
LowTargetHigh
98.00107.69119.54
Details

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Additional Tools for Federal Stock Analysis

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