Philip Morris (Germany) Statistic Functions Standard Deviation
4I1 Stock | 125.34 0.26 0.21% |
Symbol |
The output start index for this execution was twenty-seven with a total number of output elements of thirty-four. Philip Morris Intern Standard Deviation measures the spread of Philip Morris time series from expected value (the mean).
Philip Morris Technical Analysis Modules
Most technical analysis of Philip Morris 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 Philip from various momentum indicators to cycle indicators. When you analyze Philip 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 Philip Morris 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 Philip Morris International. We use our internally-developed statistical techniques to arrive at the intrinsic value of Philip Morris International based on widely used predictive technical indicators. In general, we focus on analyzing Philip Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Philip Morris'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 Philip Morris's intrinsic value. In addition to deriving basic predictive indicators for Philip Morris, we also check how macroeconomic factors affect Philip Morris 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 Philip Morris' 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Philip Morris in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Philip Morris' short interest history, or implied volatility extrapolated from Philip Morris options trading.
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Additional Tools for Philip Stock Analysis
When running Philip Morris' price analysis, check to measure Philip Morris' 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 Philip Morris is operating at the current time. Most of Philip Morris' value examination focuses on studying past and present price action to predict the probability of Philip Morris' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Philip Morris' price. Additionally, you may evaluate how the addition of Philip Morris to your portfolios can decrease your overall portfolio volatility.