ROHM (Germany) Overlap Studies Double Exponential Moving Average
| ROM Stock | EUR 8.63 0.11 1.29% |
| Symbol |
The output start index for this execution was thirty-eight with a total number of output elements of twenty-three. The Double Exponential Moving Average indicator was developed by Patrick Mulloy. It consists of a single exponential moving average and a double exponential moving average. This indicator is more responsive to ROHM changes than the simple moving average.
ROHM Technical Analysis Modules
Most technical analysis of ROHM 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 ROHM from various momentum indicators to cycle indicators. When you analyze ROHM 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 ROHM 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 ROHM Co. We use our internally-developed statistical techniques to arrive at the intrinsic value of ROHM Co based on widely used predictive technical indicators. In general, we focus on analyzing ROHM Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build ROHM's daily price indicators and compare them against related drivers, such as overlap studies 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 ROHM's intrinsic value. In addition to deriving basic predictive indicators for ROHM, we also check how macroeconomic factors affect ROHM price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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 ROHM 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, ROHM's short interest history, or implied volatility extrapolated from ROHM options trading.
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Other Information on Investing in ROHM Stock
ROHM financial ratios help investors to determine whether ROHM Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in ROHM with respect to the benefits of owning ROHM security.