Energy Technology Pink Sheet Forecast - Naive Prediction

Energy Pink Sheet Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Energy Technology's 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 Energy Technology's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Energy Technology Corp, which may create opportunities for some arbitrage if properly timed.
Using Energy Technology hype-based prediction, you can estimate the value of Energy Technology Corp from the perspective of Energy Technology response to recently generated media hype and the effects of current headlines on its competitors.

Energy Technology after-hype prediction price

    
  USD 0.1  
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 census.

Energy Technology Additional Predictive Modules

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

Energy Technology Naive Prediction Price Forecast For the 24th of January

Given 90 days horizon, the Naive Prediction forecasted value of Energy Technology Corp on the next trading day is expected to be 0.11 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.000068, and the sum of the absolute errors of 0.39.
Please note that although there have been many attempts to predict Energy 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 Energy Technology's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Energy Technology Pink Sheet Forecast Pattern

Backtest Energy TechnologyEnergy Technology Price PredictionBuy or Sell Advice 

Energy Technology Forecasted Value

In the context of forecasting Energy Technology's 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. Energy Technology's downside and upside margins for the forecasting period are 0 and 9.75, respectively. We have considered Energy Technology'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
0.10
0.11
Expected Value
9.75
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 Energy Technology pink sheet data series using in forecasting. Note that when a statistical model is used to represent Energy Technology 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 Criteria108.5135
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0064
MAPEMean absolute percentage error0.0656
SAESum of the absolute errors0.3901
This model is not at all useful as a medium-long range forecasting tool of Energy Technology Corp. 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 Energy Technology. 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 Energy Technology

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Energy Technology Corp. 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
0.010.109.70
Details
Intrinsic
Valuation
LowRealHigh
0.000.089.68
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Energy Technology. Your research has to be compared to or analyzed against Energy Technology's peers to derive any actionable benefits. When done correctly, Energy Technology's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Energy Technology Corp.

Energy Technology After-Hype Price Prediction Density Analysis

As far as predicting the price of Energy Technology 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 Energy Technology 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 Energy Technology, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Energy Technology Estimiated After-Hype Price Volatility

In the context of predicting Energy Technology's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Energy Technology's historical news coverage. Energy Technology's after-hype downside and upside margins for the prediction period are 0.01 and 9.70, respectively. We have considered Energy Technology's 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
0.10
0.10
After-hype Price
9.70
Upside
Energy Technology is out of control at this time. Analysis and calculation of next after-hype price of Energy Technology Corp is based on 3 months time horizon.

Energy Technology Pink Sheet Price Prediction Analysis

Have you ever been surprised when a price of a Company such as Energy Technology is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Energy Technology 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 Energy Technology, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.99 
9.64
 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
0.10
0.10
2.56 
0.00  
Notes

Energy Technology Hype Timeline

Energy Technology Corp is currently traded for 0.10. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Energy is forecasted to increase in value after the next headline, with the price projected to jump to 0.1 or above. The average volatility of media hype impact on the company the price is insignificant. The price appreciation on the next news is estimated to be 2.56%, whereas the daily expected return is currently at 0.99%. The volatility of related hype on Energy Technology is about 964000.0%, with the expected price after the next announcement by competition of 0.10. Given the investment horizon of 90 days the next forecasted press release will be in a few days.
Check out Historical Fundamental Analysis of Energy Technology to cross-verify your projections.

Energy Technology Related Hype Analysis

Having access to credible news sources related to Energy Technology's direct competition is more important than ever and may enhance your ability to predict Energy Technology's future price movements. Getting to know how Energy Technology's 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 Energy Technology may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
KEGXKey Energy Services 0.00 0 per month 0.00  0.16  16.79  0.00  1,151 
NRISNorris Industries 0.00 0 per month 0.00  0.01  0.00  0.00  27.27 
GXRFFProspera Energy 0.00 0 per month 0.00 (0.06) 8.95 (9.43) 38.06 
GWTIGreenway Technologies 0.00 0 per month 10.82  0.04  16.13 (20.36) 72.84 
EEENF88 Energy Limited 0.00 0 per month 7.48  0.03  14.40 (12.33) 41.75 
DLXYDelixy Holdings Limited(0.01)3 per month 6.38  0.05  8.64 (5.83) 105.45 
IGESFIGas Energy plc 0.00 0 per month 0.00  0.07  0.00  0.00  34.42 
CNUCFCanuc Resources 0.00 0 per month 5.39  0.15  14.33 (7.94) 45.69 
SOUTFSouthern Cross Media 0.00 0 per month 6.73  0.06  16.67 (11.96) 43.96 
HEEVFHelium Evolution Incorporated 0.00 0 per month 0.00  0.03  0.00  0.00  120.00 

Other Forecasting Options for Energy Technology

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

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

Energy Technology Market Strength Events

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

Energy Technology Risk Indicators

The analysis of Energy Technology's 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 Energy Technology's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting energy 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.

Story Coverage note for Energy Technology

The number of cover stories for Energy Technology depends on current market conditions and Energy Technology's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Energy Technology 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 Energy Technology's 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

Energy Technology Short Properties

Energy Technology's future price predictability will typically decrease when Energy Technology's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Energy Technology Corp often depends not only on the future outlook of the potential Energy Technology's 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. Energy Technology's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding165.6 M
Short Long Term Debt4.4 M
Shares Float2.7 M

Additional Tools for Energy Pink Sheet Analysis

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