Coffee Day (India) Overlap Studies Double Exponential Moving Average
| COFFEEDAY | 30.82 0.00 0.00% |
| Symbol |
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 Coffee Day Enterprises changes than the simple moving average.
Coffee Day Technical Analysis Modules
Most technical analysis of Coffee Day 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 Coffee from various momentum indicators to cycle indicators. When you analyze Coffee 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 Coffee Day 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 Coffee Day Enterprises. We use our internally-developed statistical techniques to arrive at the intrinsic value of Coffee Day Enterprises based on widely used predictive technical indicators. In general, we focus on analyzing Coffee Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Coffee Day'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 Coffee Day's intrinsic value. In addition to deriving basic predictive indicators for Coffee Day, we also check how macroeconomic factors affect Coffee Day 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 Coffee Day'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.
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 Coffee Day 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, Coffee Day's short interest history, or implied volatility extrapolated from Coffee Day options trading.
Trending Themes
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Other Information on Investing in Coffee Stock
Coffee Day financial ratios help investors to determine whether Coffee 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 Coffee with respect to the benefits of owning Coffee Day security.