NQTH (Thailand) Index Volatility Indicators Average True Range

NQTH -  Thailand Index  

 1,070  2.64  0.25%

NQTH volatility indicators tool provides the execution environment for running the Average True Range indicator and other technical functions against NQTH. NQTH 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 volatility indicators indicators. As with most other technical indicators, the Average True Range indicator function is designed to identify and follow existing trends. NQTH volatility indicators enable investors to predict price movements based on how different True Range indicators change over time. Please specify Time Period to run this model.
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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of NQTH volatility. High ATR values indicate high volatility, and low values indicate low volatility. View also all equity analysis or get more info about average true range volatility indicators indicator.

NQTH Technical Analysis Modules

Most technical analysis of NQTH 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 NQTH from various momentum indicators to cycle indicators. When you analyze NQTH 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 NQTH 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 NQTH. We use our internally-developed statistical techniques to arrive at the intrinsic value of NQTH based on widely used predictive technical indicators. In general, we focus on analyzing NQTH index price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build NQTH's daily price indicators and compare them against related drivers, such as volatility 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 NQTH's intrinsic value. In addition to deriving basic predictive indicators for NQTH, we also check how macroeconomic factors affect NQTH price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of NQTH's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of NQTH in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
1,0691,0701,071
Details
Intrinsic
Valuation
LowReal ValueHigh
1,0651,0661,177
Details
Naive
Forecast
LowNext ValueHigh
1,0671,0671,068
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1,0171,0631,109
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as NQTH. Your research has to be compared to or analyzed against NQTH's peers to derive any actionable benefits. When done correctly, NQTH's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in NQTH.

NQTH Investors Sentiment

The influence of NQTH's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in NQTH. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.

Current Sentiment - NQTH

NQTH Investor Sentiment

Macroaxis traders are unemotional in their take regarding direction of NQTH Index. What is your trading attitude regarding investing in Thailand companies? Are you bullish or bearish on NQTH?
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Bearish
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Check out Your Current Watchlist. Note that the NQTH information on this page should be used as a complementary analysis to other NQTH's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.

Other Tools for NQTH Index

When running NQTH price analysis, check to measure NQTH'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 NQTH is operating at the current time. Most of NQTH's value examination focuses on studying past and present price action to predict the probability of NQTH's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move NQTH's price. Additionally, you may evaluate how the addition of NQTH to your portfolios can decrease your overall portfolio volatility.
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