Jakarta Comp (Indonesia) Top Constituents

JKSE
 Index
  

 7,033  20.73  0.30%   

Jakarta Comp top constituents interface makes it easy to find which actively traded equities make up the index. This module also helps to analysis Jakarta Comp price relationship to its top holders by analyzing important technical indicators across index participants. Please not that each index related to the equity markets uses different number of constituents and has its own calculation methodology.

Technical Drivers

As of the 30th of November, Jakarta Comp retains the risk adjusted performance of (0.06). Our technical analysis interface lets you check existing technical drivers of Jakarta Comp, as well as the relationship between them. Simply put, you can use this information to find out if the entity will indeed mirror its model of historical price patterns, or the prices will eventually revert. We are able to interpolate and collect nineteen technical drivers for Jakarta Comp, which can be compared to its competitors. Please check out Jakarta Comp variance, value at risk, as well as the relationship between the Value At Risk and skewness to decide if Jakarta Comp is priced fairly, providing market reflects its last-minute price of 7032.8 per share.

Jakarta Comp Price Movement Analysis

The output start index for this execution was sixty with a total number of output elements of one. The Kaufman Adaptive Moving Average allows the user to define Jakarta Comp range across which they want the smoothing.
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Jakarta Comp Predictive Daily Indicators

Jakarta Comp intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Jakarta Comp index daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.

Jakarta Comp Forecast Models

Jakarta Comp time-series forecasting models is one of many Jakarta Comp's index analysis techniquest aimed to predict future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Jakarta Comp's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Be your own money manager

As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our index analysis tools, you can find out how much better you can do when adding Jakarta Comp to your portfolios without increasing risk or reducing expected return.

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Other Tools for Jakarta Index

When running Jakarta Comp price analysis, check to measure Jakarta Comp's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Jakarta Comp is operating at the current time. Most of Jakarta Comp's value examination focuses on studying past and present price action to predict the probability of Jakarta Comp's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Jakarta Comp's price. Additionally, you may evaluate how the addition of Jakarta Comp to your portfolios can decrease your overall portfolio volatility.
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