Electrocomponents Pink Sheet Forecast - Naive Prediction

EENEFDelisted Stock  USD 8.27  0.00  0.00%   
The Naive Prediction forecasted value of Electrocomponents Plc on the next trading day is expected to be 8.27 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Electrocomponents Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Electrocomponents' historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 23rd of January 2026 the relative strength index (rsi) of Electrocomponents' share price is below 20 suggesting 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 Electrocomponents' 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 Electrocomponents and does not consider all of the tangible or intangible factors available from Electrocomponents' fundamental data. We analyze noise-free headlines and recent hype associated with Electrocomponents Plc, which may create opportunities for some arbitrage if properly timed.
Using Electrocomponents hype-based prediction, you can estimate the value of Electrocomponents Plc from the perspective of Electrocomponents response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Electrocomponents Plc on the next trading day is expected to be 8.27 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.

Electrocomponents after-hype prediction price

    
  USD 8.27  
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 Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in american community survey.

Electrocomponents Additional Predictive Modules

Most predictive techniques to examine Electrocomponents price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Electrocomponents using various technical indicators. When you analyze Electrocomponents 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 Electrocomponents is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Electrocomponents Plc 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.

Electrocomponents Naive Prediction Price Forecast For the 24th of January

Given 90 days horizon, the Naive Prediction forecasted value of Electrocomponents Plc on the next trading day is expected to be 8.27 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict Electrocomponents 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 Electrocomponents' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Electrocomponents Pink Sheet Forecast Pattern

Backtest ElectrocomponentsElectrocomponents Price PredictionBuy or Sell Advice 

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 Electrocomponents pink sheet data series using in forecasting. Note that when a statistical model is used to represent Electrocomponents 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 Criteria54.4969
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
This model is not at all useful as a medium-long range forecasting tool of Electrocomponents Plc. 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 Electrocomponents. 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 Electrocomponents

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Electrocomponents Plc. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Electrocomponents' 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.
Hype
Prediction
LowEstimatedHigh
8.278.278.27
Details
Intrinsic
Valuation
LowRealHigh
7.037.039.10
Details

Electrocomponents After-Hype Price Prediction Density Analysis

As far as predicting the price of Electrocomponents at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Electrocomponents or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Pink Sheet prices, such as prices of Electrocomponents, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Electrocomponents Estimiated After-Hype Price Volatility

In the context of predicting Electrocomponents' pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Electrocomponents' historical news coverage. Electrocomponents' after-hype downside and upside margins for the prediction period are 8.27 and 8.27, respectively. We have considered Electrocomponents' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
8.27
8.27
After-hype Price
8.27
Upside
Electrocomponents is very steady at this time. Analysis and calculation of next after-hype price of Electrocomponents Plc is based on 3 months time horizon.

Electrocomponents Pink Sheet Price Prediction Analysis

Have you ever been surprised when a price of a Company such as Electrocomponents is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Electrocomponents backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Pink Sheet price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Electrocomponents, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
 0.00  
0.00
 0.00  
 0.00  
0 Events / Month
0 Events / Month
In a few days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
8.27
8.27
0.00 
0.00  
Notes

Electrocomponents Hype Timeline

Electrocomponents Plc is currently traded for 8.27. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Electrocomponents is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.0%. %. The volatility of related hype on Electrocomponents is about 0.0%, with the expected price after the next announcement by competition of 8.27. About 84.0% of the company shares are held by institutions such as insurance companies. The book value of Electrocomponents was currently reported as 2.73. The company last dividend was issued on the 25th of November 2022. Assuming the 90 days horizon the next forecasted press release will be in a few days.
Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in american community survey.

Electrocomponents Related Hype Analysis

Having access to credible news sources related to Electrocomponents' direct competition is more important than ever and may enhance your ability to predict Electrocomponents' future price movements. Getting to know how Electrocomponents' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Electrocomponents may potentially react to the hype associated with one of its peers.

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

Electrocomponents Market Strength Events

Market strength indicators help investors to evaluate how Electrocomponents 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 Electrocomponents shares will generate the highest return on investment. By undertsting and applying Electrocomponents pink sheet market strength indicators, traders can identify Electrocomponents Plc entry and exit signals to maximize returns.

Story Coverage note for Electrocomponents

The number of cover stories for Electrocomponents depends on current market conditions and Electrocomponents' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Electrocomponents is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Electrocomponents' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios

Electrocomponents Short Properties

Electrocomponents' future price predictability will typically decrease when Electrocomponents' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Electrocomponents Plc often depends not only on the future outlook of the potential Electrocomponents' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Electrocomponents' indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding471 M
Short Long Term Debt99.5 M
Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in american community survey.
You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.

Other Consideration for investing in Electrocomponents Pink Sheet

If you are still planning to invest in Electrocomponents Plc check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Electrocomponents' history and understand the potential risks before investing.
Fundamentals Comparison
Compare fundamentals across multiple equities to find investing opportunities
Money Managers
Screen money managers from public funds and ETFs managed around the world
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Sign In To Macroaxis
Sign in to explore Macroaxis' wealth optimization platform and fintech modules
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Economic Indicators
Top statistical indicators that provide insights into how an economy is performing