OFC 29 01 DEC 33 Overlap Studies Triangular Moving Average

22003BAP1   80.36  0.23  0.29%   
22003BAP1 overlap studies tool provides the execution environment for running the Triangular Moving Average study and other technical functions against 22003BAP1. 22003BAP1 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 Triangular Moving Average study function is designed to identify and follow existing trends. 22003BAP1 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.

The output start index for this execution was two with a total number of output elements of fifty-nine. The Triangular Moving Average shows 22003BAP1 double smoothed mean price over a specified number of previous prices (i.e., averaged twice).

22003BAP1 Technical Analysis Modules

Most technical analysis of 22003BAP1 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 22003BAP1 from various momentum indicators to cycle indicators. When you analyze 22003BAP1 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 22003BAP1 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 OFC 29 01 DEC 33. We use our internally-developed statistical techniques to arrive at the intrinsic value of OFC 29 01 DEC 33 based on widely used predictive technical indicators. In general, we focus on analyzing 22003BAP1 Bond price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build 22003BAP1'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 22003BAP1's intrinsic value. In addition to deriving basic predictive indicators for 22003BAP1, we also check how macroeconomic factors affect 22003BAP1 price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
79.8880.3680.84
Details
Intrinsic
Valuation
LowRealHigh
67.9168.3988.40
Details
Naive
Forecast
LowNextHigh
79.6180.1080.58
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
80.2280.4480.65
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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Global Correlations

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OFC 29 01 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 22003BAP1 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 22003BAP1 will appreciate offsetting losses from the drop in the long position's value.

22003BAP1 Pair Trading

OFC 29 01 DEC 33 Pair Trading Analysis

The ability to find closely correlated positions to 22003BAP1 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace 22003BAP1 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 22003BAP1 - 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 OFC 29 01 DEC 33 to buy it.
The correlation of 22003BAP1 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 22003BAP1 moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if OFC 29 01 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 22003BAP1 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 22003BAP1 Bond

22003BAP1 financial ratios help investors to determine whether 22003BAP1 Bond 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 22003BAP1 with respect to the benefits of owning 22003BAP1 security.