Foods Inns (India) Overlap Studies Triple Exponential Moving Average

FOODSIN Stock   118.25  1.51  1.26%   
Foods Inns overlap studies tool provides the execution environment for running the Triple Exponential Moving Average study and other technical functions against Foods Inns. Foods Inns value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of overlap studies indicators. As with most other technical indicators, the Triple Exponential Moving Average study function is designed to identify and follow existing trends. Foods Inns overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Time Period to run this model.

Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. Foods Inns Limited Triple Exponential Moving Average indicator shows smoothing effect of Foods Inns price series composite of a single exponential moving average, a double exponential moving average and a triple exponential moving average.

Foods Inns Technical Analysis Modules

Most technical analysis of Foods Inns 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 Foods from various momentum indicators to cycle indicators. When you analyze Foods 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.

About Foods Inns 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 Foods Inns Limited. We use our internally-developed statistical techniques to arrive at the intrinsic value of Foods Inns Limited based on widely used predictive technical indicators. In general, we focus on analyzing Foods Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Foods Inns'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 Foods Inns's intrinsic value. In addition to deriving basic predictive indicators for Foods Inns, we also check how macroeconomic factors affect Foods Inns 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 Foods Inns' 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.
Hype
Prediction
LowEstimatedHigh
114.26117.98121.70
Details
Intrinsic
Valuation
LowRealHigh
99.15102.87130.08
Details
Naive
Forecast
LowNextHigh
116.27119.99123.71
Details
Earnings
Estimates (0)
LowProjected EPSHigh
1.551.551.55
Details

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Foods Inns Limited pair trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Foods Inns position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Foods Inns will appreciate offsetting losses from the drop in the long position's value.

Foods Inns Pair Trading

Foods Inns Limited Pair Trading Analysis

The ability to find closely correlated positions to Foods Inns could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Foods Inns when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Foods Inns - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Foods Inns Limited to buy it.
The correlation of Foods Inns is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Foods Inns moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Foods Inns Limited moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Foods Inns can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in Foods Stock

Foods Inns financial ratios help investors to determine whether Foods 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 Foods with respect to the benefits of owning Foods Inns security.