Moderate Balanced Allocation Fund Momentum Indicators Percentage Price Oscillator

SBMCX Fund  USD 12.38  0.02  0.16%   
Moderate Balanced momentum indicators tool provides the execution environment for running the Percentage Price Oscillator indicator and other technical functions against Moderate Balanced. Moderate Balanced 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 momentum indicators indicators. As with most other technical indicators, the Percentage Price Oscillator indicator function is designed to identify and follow existing trends. Momentum indicators of Moderate Balanced are pattern recognition functions that provide distinct formation on Moderate Balanced potential trading signals or future price movement. Analysts can use these trading signals to identify current and future trends and trend reversals to provide buy and sell recommendations. Please specify Fast Period, Slow Period and MA Type to execute this model.

The output start index for this execution was twenty-five with a total number of output elements of thirty-six. The Percentage Price Oscillator is a momentum indicator that describes the relationship between two Moderate Balanced moving averages.

Moderate Balanced Technical Analysis Modules

Most technical analysis of Moderate Balanced 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 Moderate from various momentum indicators to cycle indicators. When you analyze Moderate 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 Moderate Balanced 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 Moderate Balanced Allocation. We use our internally-developed statistical techniques to arrive at the intrinsic value of Moderate Balanced Allocation based on widely used predictive technical indicators. In general, we focus on analyzing Moderate Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Moderate Balanced's daily price indicators and compare them against related drivers, such as momentum indicators 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 Moderate Balanced's intrinsic value. In addition to deriving basic predictive indicators for Moderate Balanced, we also check how macroeconomic factors affect Moderate Balanced 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 Moderate Balanced'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.
Hype
Prediction
LowEstimatedHigh
11.8612.3812.90
Details
Intrinsic
Valuation
LowRealHigh
11.7512.2712.79
Details
Naive
Forecast
LowNextHigh
11.8212.3312.85
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
11.8412.1712.49
Details

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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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Moderate Balanced 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 Moderate Balanced 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 Moderate Balanced will appreciate offsetting losses from the drop in the long position's value.

Moderate Balanced Pair Trading

Moderate Balanced Allocation Pair Trading Analysis

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

Moderate Balanced financial ratios help investors to determine whether Moderate 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 Moderate with respect to the benefits of owning Moderate Balanced security.
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