Ing Series Fund Overlap Studies Bollinger Bands

AISBX Fund   14.54  0.03  0.21%   
Ing Series overlap studies tool provides the execution environment for running the Bollinger Bands study and other technical functions against Ing Series. Ing Series 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 Bollinger Bands study function is designed to identify and follow existing trends. Ing Series overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify the following input to run this model: Time Period, Deviations up, Deviations down, and MA Type.

Execute Study
java.lang.NullPointerException: Cannot invoke "java.lang.Number.intValue()" because the return value of "sun.invoke.util.ValueConversions.primitiveConversion(sun.invoke.util.Wrapper, Object, boolean)" is null. The output start index for this execution was zero with a total number of output elements of zero. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Ing Series middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Ing Series Fund. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.

Ing Series Technical Analysis Modules

Most technical analysis of Ing Series 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 Ing from various momentum indicators to cycle indicators. When you analyze Ing 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 Ing Series 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 Ing Series Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Ing Series Fund based on widely used predictive technical indicators. In general, we focus on analyzing Ing Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Ing Series'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 Ing Series's intrinsic value. In addition to deriving basic predictive indicators for Ing Series, we also check how macroeconomic factors affect Ing Series price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
13.4814.5415.60
Details
Intrinsic
Valuation
LowRealHigh
13.4614.5215.58
Details
Naive
Forecast
LowNextHigh
13.2314.2915.35
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
13.7014.4815.27
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Ing Series. Your research has to be compared to or analyzed against Ing Series' peers to derive any actionable benefits. When done correctly, Ing Series' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Ing Series Fund.

Learn to be your own money manager

As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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Bollinger Bands

Use Bollinger Bands indicator to analyze target price for a given investing horizon
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Ing Series Fund 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 Ing Series 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 Ing Series will appreciate offsetting losses from the drop in the long position's value.

Ing Series Pair Trading

Ing Series Fund Pair Trading Analysis

The ability to find closely correlated positions to Ing Series could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ing Series 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 Ing Series - 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 Ing Series Fund to buy it.
The correlation of Ing Series 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 Ing Series moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ing Series Fund 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 Ing Series 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 Ing Mutual Fund

Ing Series financial ratios help investors to determine whether Ing Mutual Fund 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 Ing with respect to the benefits of owning Ing Series security.
Risk-Return Analysis
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Performance Analysis
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Price Transformation
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Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk