Pyridam Farma (Indonesia) Volatility Indicators Average True Range
PYFA Stock | IDR 89.00 7.00 7.29% |
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The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Pyridam Farma Tbk volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Pyridam Farma Technical Analysis Modules
Most technical analysis of Pyridam Farma 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 Pyridam from various momentum indicators to cycle indicators. When you analyze Pyridam 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.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
About Pyridam Farma 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 Pyridam Farma Tbk. We use our internally-developed statistical techniques to arrive at the intrinsic value of Pyridam Farma Tbk based on widely used predictive technical indicators. In general, we focus on analyzing Pyridam Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Pyridam Farma's daily price indicators and compare them against related drivers, such as volatility indicators 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 Pyridam Farma's intrinsic value. In addition to deriving basic predictive indicators for Pyridam Farma, we also check how macroeconomic factors affect Pyridam Farma 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 Pyridam Farma'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.
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Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Pyridam Farma Tbk. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Complementary Tools for Pyridam Stock analysis
When running Pyridam Farma's price analysis, check to measure Pyridam Farma'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 Pyridam Farma is operating at the current time. Most of Pyridam Farma's value examination focuses on studying past and present price action to predict the probability of Pyridam Farma's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Pyridam Farma's price. Additionally, you may evaluate how the addition of Pyridam Farma to your portfolios can decrease your overall portfolio volatility.
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