AC SA (Poland) Statistic Functions Time Series Forecast

ACG Stock   27.80  0.20  0.72%   
AC SA statistic functions tool provides the execution environment for running the Time Series Forecast function and other technical functions against AC SA. AC SA 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 Time Series Forecast function function is designed to identify and follow existing trends. AC SA 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.

Execute Function
The output start index for this execution was nine with a total number of output elements of fifty-two. The Time Series Forecast uses simple linear regression to derive AC SA best fit line over a given time period and plot it forward over user-defined time period.

AC SA Technical Analysis Modules

Most technical analysis of AC SA 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 ACG from various momentum indicators to cycle indicators. When you analyze ACG 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 AC SA 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 AC SA. We use our internally-developed statistical techniques to arrive at the intrinsic value of AC SA based on widely used predictive technical indicators. In general, we focus on analyzing ACG Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build AC SA'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 AC SA's intrinsic value. In addition to deriving basic predictive indicators for AC SA, we also check how macroeconomic factors affect AC SA price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AC SA'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
26.6227.8028.98
Details
Intrinsic
Valuation
LowRealHigh
22.0923.2730.58
Details
Naive
Forecast
LowNextHigh
26.3027.4828.66
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
27.5228.0128.50
Details

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Trending Themes

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Blockchain
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Additional Tools for ACG Stock Analysis

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