Citra Marga (Indonesia) Statistic Functions Beta
| CMNP Stock | IDR 1,565 10.00 0.63% |
| Symbol |
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Citra Marga Technical Analysis Modules
Most technical analysis of Citra Marga 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 Citra from various momentum indicators to cycle indicators. When you analyze Citra 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
About Citra Marga 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 Citra Marga Nusaphala. We use our internally-developed statistical techniques to arrive at the intrinsic value of Citra Marga Nusaphala based on widely used predictive technical indicators. In general, we focus on analyzing Citra Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Citra Marga'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 Citra Marga's intrinsic value. In addition to deriving basic predictive indicators for Citra Marga, we also check how macroeconomic factors affect Citra Marga 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 Citra Marga'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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Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Warren Buffett Holdings Invested over 70 shares | |
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Check out Trending Equities to better understand how to build diversified portfolios. 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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Complementary Tools for Citra Stock analysis
When running Citra Marga's price analysis, check to measure Citra Marga'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 Citra Marga is operating at the current time. Most of Citra Marga's value examination focuses on studying past and present price action to predict the probability of Citra Marga's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Citra Marga's price. Additionally, you may evaluate how the addition of Citra Marga to your portfolios can decrease your overall portfolio volatility.
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