Singaraja Putra (Indonesia) Math Operators Lowest value over a specified period

SINI Stock  IDR 4,180  230.00  5.22%   
Singaraja Putra math operators tool provides the execution environment for running the Lowest value over a specified period operator and other technical functions against Singaraja Putra. Singaraja Putra 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 Lowest value over a specified period 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 Singaraja Putra. Please specify Time Period to run this model.

The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Lowest value over a specified period line plots minimum value of Singaraja Putra price series.

Singaraja Putra Technical Analysis Modules

Most technical analysis of Singaraja Putra 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 Singaraja from various momentum indicators to cycle indicators. When you analyze Singaraja 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 Singaraja Putra 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 Singaraja Putra. We use our internally-developed statistical techniques to arrive at the intrinsic value of Singaraja Putra based on widely used predictive technical indicators. In general, we focus on analyzing Singaraja Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Singaraja Putra'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 Singaraja Putra's intrinsic value. In addition to deriving basic predictive indicators for Singaraja Putra, we also check how macroeconomic factors affect Singaraja Putra price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
3,9633,9703,977
Details
Intrinsic
Valuation
LowRealHigh
3,2153,2214,367
Details
Naive
Forecast
LowNextHigh
4,1684,1754,181
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
3,7874,8475,907
Details

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Singaraja Putra 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 Singaraja Putra 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 Singaraja Putra will appreciate offsetting losses from the drop in the long position's value.

Singaraja Putra Pair Trading

Singaraja Putra Pair Trading Analysis

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

Singaraja Putra financial ratios help investors to determine whether Singaraja 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 Singaraja with respect to the benefits of owning Singaraja Putra security.