SANDS CHINA LTD Overlap Studies Double Exponential Moving Average
| 80007RAE5 | 98.10 0.88 0.89% |
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The output start index for this execution was four with a total number of output elements of fifty-seven. 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 SANDS CHINA LTD changes than the simple moving average.
SANDS Technical Analysis Modules
Most technical analysis of SANDS 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 SANDS from various momentum indicators to cycle indicators. When you analyze SANDS 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 | ||
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| Overlap Studies | ||
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| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About SANDS 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 SANDS CHINA LTD. We use our internally-developed statistical techniques to arrive at the intrinsic value of SANDS CHINA LTD based on widely used predictive technical indicators. In general, we focus on analyzing SANDS Bond price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build SANDS'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 SANDS's intrinsic value. In addition to deriving basic predictive indicators for SANDS, we also check how macroeconomic factors affect SANDS 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 SANDS 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, SANDS's short interest history, or implied volatility extrapolated from SANDS 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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Other Information on Investing in SANDS Bond
SANDS financial ratios help investors to determine whether SANDS Bond 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 SANDS with respect to the benefits of owning SANDS security.