NQTH Index Forecast - Polynomial Regression

NQTH -  Thailand Index  

 1,002  2.04  0.20%

NQTH Index Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast NQTH historical stock prices and determine the direction of NQTH's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of NQTH historical fundamentals such as revenue growth or operating cash flow patterns.
Check out fundamental analysis of NQTH to check your projections.

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Most investors in NQTH cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the NQTH's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets NQTH's price structures and extracts relationships that further increase the generated results' accuracy.
NQTH polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for NQTH as well as the accuracy indicators are determined from the period prices.

NQTH Polynomial Regression Price Forecast For the 21st of September

Given 90 days horizon, the Polynomial Regression forecasted value of NQTH on the next trading day is expected to be 1,026 with a mean absolute deviation of 16.17, mean absolute percentage error of 387.70, and the sum of the absolute errors of 986.45. Please note that although there have been many attempts to predict NQTH Index prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that NQTH's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

NQTH Index Forecast Pattern

NQTH Forecasted Value

In the context of forecasting NQTH's Index value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. NQTH's downside and upside margins for the forecasting period are 1,025 and 1,026, respectively. We have considered NQTH's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
1,002
20th of September 2021
1,026
Expected Value
1,026
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of NQTH index data series using in forecasting. Note that when a statistical model is used to represent NQTH index, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria124.0707
BiasArithmetic mean of the errors None
MADMean absolute deviation16.1713
MAPEMean absolute percentage error0.0162
SAESum of the absolute errors986.452
A single variable polynomial regression model attempts to put a curve through the NQTH historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for NQTH

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as NQTH. Regardless of method or technology, however, to accurately forecast the stock or bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
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
1,0141,0151,016
Details
Intrinsic
Valuation
LowReal ValueHigh
1,0041,0051,117
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
923.531,0021,080
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.

Other Forecasting Options for NQTH

For every potential investor in NQTH, whether a beginner or expert, NQTH's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. NQTH Index price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in NQTH. Basic forecasting techniques help filter out the noise by identifying NQTH's price trends.

View Currently Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with NQTH index to make a market-neutral strategy. Peer analysis of NQTH could also be used in its relative valuation, which is a method of valuing NQTH by comparing valuation metrics with similar companies.

NQTH Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of NQTH's price movements, , a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of NQTH's current price.

NQTH Market Strength Events

Market strength indicators help investors to evaluate how NQTH index reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading NQTH shares will generate the highest return on investment. By undertsting and applying NQTH index market strength indicators, traders can identify NQTH entry and exit signals to maximize returns.

NQTH Risk Indicators

The analysis of NQTH's basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in NQTH's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting NQTH stock price, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

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?
Bullish
Bearish
50% Bullish
50% Bearish
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Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity..
Check out fundamental analysis of NQTH to check your projections. 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.

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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