NGK Insulators Pink Sheet Forecast - Naive Prediction

NGKIF Stock  USD 21.36  0.00  0.00%   
The Naive Prediction forecasted value of NGK Insulators on the next trading day is expected to be 21.05 with a mean absolute deviation of 0.27 and the sum of the absolute errors of 16.62. NGK Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of NGK Insulators' historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 10th of January 2026 the relative strength index (rsi) of NGK Insulators' share price is below 20 . This indicates that the pink sheet is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of NGK Insulators' future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of NGK Insulators and does not consider all of the tangible or intangible factors available from NGK Insulators' fundamental data. We analyze noise-free headlines and recent hype associated with NGK Insulators, which may create opportunities for some arbitrage if properly timed.
Using NGK Insulators hype-based prediction, you can estimate the value of NGK Insulators from the perspective of NGK Insulators response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of NGK Insulators on the next trading day is expected to be 21.05 with a mean absolute deviation of 0.27 and the sum of the absolute errors of 16.62.

NGK Insulators after-hype prediction price

    
  USD 21.36  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of NGK Insulators to cross-verify your projections.

NGK Insulators Additional Predictive Modules

Most predictive techniques to examine NGK price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for NGK using various technical indicators. When you analyze NGK 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.
A naive forecasting model for NGK Insulators is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of NGK Insulators value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

NGK Insulators Naive Prediction Price Forecast For the 11th of January 2026

Given 90 days horizon, the Naive Prediction forecasted value of NGK Insulators on the next trading day is expected to be 21.05 with a mean absolute deviation of 0.27, mean absolute percentage error of 0.12, and the sum of the absolute errors of 16.62.
Please note that although there have been many attempts to predict NGK Pink Sheet 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 NGK Insulators' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

NGK Insulators Pink Sheet Forecast Pattern

Backtest NGK InsulatorsNGK Insulators Price PredictionBuy or Sell Advice 

NGK Insulators Forecasted Value

In the context of forecasting NGK Insulators' Pink Sheet 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. NGK Insulators' downside and upside margins for the forecasting period are 19.09 and 23.01, respectively. We have considered NGK Insulators' 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
21.36
21.05
Expected Value
23.01
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of NGK Insulators pink sheet data series using in forecasting. Note that when a statistical model is used to represent NGK Insulators pink sheet, 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 Criteria117.8641
BiasArithmetic mean of the errors None
MADMean absolute deviation0.268
MAPEMean absolute percentage error0.014
SAESum of the absolute errors16.6179
This model is not at all useful as a medium-long range forecasting tool of NGK Insulators. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict NGK Insulators. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for NGK Insulators

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as NGK Insulators. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.
Hype
Prediction
LowEstimatedHigh
19.4021.3623.32
Details
Intrinsic
Valuation
LowRealHigh
19.2223.9225.88
Details
Bollinger
Band Projection (param)
LowMiddleHigh
18.2720.3122.34
Details

Other Forecasting Options for NGK Insulators

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

NGK Insulators 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 NGK Insulators pink sheet to make a market-neutral strategy. Peer analysis of NGK Insulators could also be used in its relative valuation, which is a method of valuing NGK Insulators by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

NGK Insulators Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of NGK Insulators' 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 NGK Insulators' current price.

NGK Insulators Market Strength Events

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

NGK Insulators Risk Indicators

The analysis of NGK Insulators' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in NGK Insulators' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ngk pink sheet prices, 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 investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Currently Active Assets on Macroaxis

Other Information on Investing in NGK Pink Sheet

NGK Insulators financial ratios help investors to determine whether NGK Pink Sheet 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 NGK with respect to the benefits of owning NGK Insulators security.