Coal India (India) Pattern Recognition Kicking bull or bear determined by the longer marubozu
| COALINDIA | 382.00 9.95 2.54% |
| Symbol |
Recognition |
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was eleven with a total number of output elements of fifty. The function did not return any valid pattern recognition events for the selected time horizon. The Kicking - bull/bear determined by the longer marubozu is one of the most powerful patterns that may predict Coal India bearish trend reversal.
Coal India Technical Analysis Modules
Most technical analysis of Coal India 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 Coal from various momentum indicators to cycle indicators. When you analyze Coal 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 Coal India 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 Coal India Limited. We use our internally-developed statistical techniques to arrive at the intrinsic value of Coal India Limited based on widely used predictive technical indicators. In general, we focus on analyzing Coal Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Coal India's daily price indicators and compare them against related drivers, such as pattern recognition 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 Coal India's intrinsic value. In addition to deriving basic predictive indicators for Coal India, we also check how macroeconomic factors affect Coal India 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 Coal India 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, Coal India's short interest history, or implied volatility extrapolated from Coal India 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. | Warren Buffett Holdings Invested over 40 shares | |
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Other Information on Investing in Coal Stock
Coal India financial ratios help investors to determine whether Coal 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 Coal with respect to the benefits of owning Coal India security.