Elong Power Holding Stock Momentum Indicators Average Directional Movement Index
| ELPW Stock | 1.31 0.09 6.43% |
| Symbol |
The output start index for this execution was nineteen with a total number of output elements of fourty-two. The average directional index (ADX) measures the strength of a prevailing trend of Elong Power Holding and whether movement exists in the market. The ADX is measured on a scale of 0 to 100. A low Elong Power ADX value usually indicates a non-trending market with low volumes, whereas a cross above 20 may indicate the start of a trend. If the ADX is over 40 and begins to fall, it can indicate the slowdown of a current trend. This indicator can also be used to identify non-trending markets, or a deterioration of an ongoing trend. Although market direction is important in its calculation, the ADX is not a directional indicator
Elong Power Technical Analysis Modules
Most technical analysis of Elong Power 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 Elong from various momentum indicators to cycle indicators. When you analyze Elong 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Elong Power 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 Elong Power Holding. We use our internally-developed statistical techniques to arrive at the intrinsic value of Elong Power Holding based on widely used predictive technical indicators. In general, we focus on analyzing Elong Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Elong Power'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 Elong Power's intrinsic value. In addition to deriving basic predictive indicators for Elong Power, we also check how macroeconomic factors affect Elong Power price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Be your own money manager
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.Generate Optimal Portfolios
Align your risk and return expectations
Additional Tools for Elong Stock Analysis
When running Elong Power's price analysis, check to measure Elong Power'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 Elong Power is operating at the current time. Most of Elong Power's value examination focuses on studying past and present price action to predict the probability of Elong Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Elong Power's price. Additionally, you may evaluate how the addition of Elong Power to your portfolios can decrease your overall portfolio volatility.