Sawit Sumbermas (Indonesia) Math Operators Price Series Subtraction

SSMS Stock  IDR 1,030  35.00  3.29%   
Sawit Sumbermas math operators tool provides the execution environment for running the Price Series Subtraction operator and other technical functions against Sawit Sumbermas. Sawit Sumbermas 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 math operators indicators. As with most other technical indicators, the Price Series Subtraction operator function is designed to identify and follow existing trends. Math Operators module provides interface to determine different price movement patterns of similar pairs of equity instruments such as null and Sawit Sumbermas.

Operator
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was zero with a total number of output elements of sixty-one. Sawit Sumbermas Sarana Price Series Subtraction is a subtraction of Sawit Sumbermas price series from its benchmark/peer..

Sawit Sumbermas Technical Analysis Modules

Most technical analysis of Sawit Sumbermas 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 Sawit from various momentum indicators to cycle indicators. When you analyze Sawit 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 Sawit Sumbermas 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 Sawit Sumbermas Sarana. We use our internally-developed statistical techniques to arrive at the intrinsic value of Sawit Sumbermas Sarana based on widely used predictive technical indicators. In general, we focus on analyzing Sawit Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Sawit Sumbermas's daily price indicators and compare them against related drivers, such as math operators 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 Sawit Sumbermas's intrinsic value. In addition to deriving basic predictive indicators for Sawit Sumbermas, we also check how macroeconomic factors affect Sawit Sumbermas price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
1,0281,0301,032
Details
Intrinsic
Valuation
LowRealHigh
895.51897.751,133
Details
Naive
Forecast
LowNextHigh
1,0051,0071,009
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1,0321,1231,215
Details

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Sawit Sumbermas Sarana 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 Sawit Sumbermas 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 Sawit Sumbermas will appreciate offsetting losses from the drop in the long position's value.

Sawit Sumbermas Pair Trading

Sawit Sumbermas Sarana Pair Trading Analysis

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

Sawit Sumbermas financial ratios help investors to determine whether Sawit 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 Sawit with respect to the benefits of owning Sawit Sumbermas security.