Nice (Israel) Overlap Studies Double Exponential Moving Average
| NICE Stock | ILA 66,360 2,610 4.09% |
| Symbol |
Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. 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 Nice changes than the simple moving average.
Nice Technical Analysis Modules
Most technical analysis of Nice 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 Nice from various momentum indicators to cycle indicators. When you analyze Nice 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 Nice 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 Nice. We use our internally-developed statistical techniques to arrive at the intrinsic value of Nice based on widely used predictive technical indicators. In general, we focus on analyzing Nice Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Nice'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 Nice's intrinsic value. In addition to deriving basic predictive indicators for Nice, we also check how macroeconomic factors affect Nice 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 Nice 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, Nice's short interest history, or implied volatility extrapolated from Nice options trading.
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. | Gambling Invested over 90 shares | |
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 | Dividend Beast Invested over 50 shares | |
 | Manufacturing Invested over 30 shares | |
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 | Macroaxis Picks Invested over 30 shares | |
 | Warren Buffett Holdings Invested over 60 shares | |
Other Information on Investing in Nice Stock
Nice financial ratios help investors to determine whether Nice 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 Nice with respect to the benefits of owning Nice security.