AECI (South Africa) Statistic Functions Beta

AFEP Stock   1,450  0.00  0.00%   
AECI statistic functions tool provides the execution environment for running the Beta function and other technical functions against AECI. AECI 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 statistic functions indicators. As with most other technical indicators, the Beta function function is designed to identify and follow existing trends. AECI statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

The output start index for this execution was six with a total number of output elements of fifty-five. The Beta measures systematic risk based on how returns on AECI correlated with the market. If Beta is less than 0 AECI generally moves in the opposite direction as compared to the market. If AECI Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one AECI is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of AECI is generally in the same direction as the market. If Beta > 1 AECI moves generally in the same direction as, but more than the movement of the benchmark.

AECI Technical Analysis Modules

Most technical analysis of AECI 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 AECI from various momentum indicators to cycle indicators. When you analyze AECI 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 AECI 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 AECI. We use our internally-developed statistical techniques to arrive at the intrinsic value of AECI based on widely used predictive technical indicators. In general, we focus on analyzing AECI Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build AECI's daily price indicators and compare them against related drivers, such as statistic functions 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 AECI's intrinsic value. In addition to deriving basic predictive indicators for AECI, we also check how macroeconomic factors affect AECI price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
72.501,450146,450
Details
Intrinsic
Valuation
LowRealHigh
58.731,174146,174
Details
Naive
Forecast
LowNextHigh
1,3311,3901,448
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1,4501,4501,450
Details

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Additional Tools for AECI Stock Analysis

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