Amrep Stock Overlap Studies Exponential Moving Average

AXR Stock  USD 37.20  0.34  0.92%   
AMREP overlap studies tool provides the execution environment for running the Exponential Moving Average study and other technical functions against AMREP. AMREP 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 Exponential Moving Average study function is designed to identify and follow existing trends. AMREP overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Time Period to run this model.

The output start index for this execution was eleven with a total number of output elements of fifty. The Exponential Moving Average is calculated by weighting recent values of AMREP more heavily than older values.

AMREP Technical Analysis Modules

Most technical analysis of AMREP 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 AMREP from various momentum indicators to cycle indicators. When you analyze AMREP 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 AMREP 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 AMREP. We use our internally-developed statistical techniques to arrive at the intrinsic value of AMREP based on widely used predictive technical indicators. In general, we focus on analyzing AMREP Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build AMREP'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 AMREP's intrinsic value. In addition to deriving basic predictive indicators for AMREP, we also check how macroeconomic factors affect AMREP price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2023 2024 (projected)
Dividend Yield0.01830.0239
Price To Sales Ratio2.092.2
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AMREP's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
34.7038.7942.88
Details
Intrinsic
Valuation
LowRealHigh
17.1721.2640.92
Details
Naive
Forecast
LowNextHigh
32.4636.5540.64
Details
0 Analysts
Consensus
LowTargetHigh
2.242.462.73
Details

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Additional Tools for AMREP Stock Analysis

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