Ener Core Pink Sheet Forward View

ENCR Stock  USD 0.0001  0.00  0.00%   
Ener Pink Sheet outlook is based on your current time horizon.
As of today the relative strength index (rsi) of Ener Core'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 Ener Core's 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 Ener Core and does not consider all of the tangible or intangible factors available from Ener Core's fundamental data. We analyze noise-free headlines and recent hype associated with Ener Core, which may create opportunities for some arbitrage if properly timed.
Using Ener Core hype-based prediction, you can estimate the value of Ener Core from the perspective of Ener Core response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Ener Core on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.

Ener Core after-hype prediction price

    
  USD 1.0E-4  
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 Ener Core to cross-verify your projections.

Ener Core Additional Predictive Modules

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

Ener Core Naive Prediction Price Forecast For the 6th of February

Given 90 days horizon, the Naive Prediction forecasted value of Ener Core on the next trading day is expected to be 0.0001 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 Ener Pink Sheet prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Ener Core's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Ener Core Pink Sheet Forecast Pattern

Backtest Ener Core  Ener Core Price Prediction  Research Analysis  

Ener Core Forecasted Value

In the context of forecasting Ener Core'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. Ener Core's downside and upside margins for the forecasting period are 0.0001 and 0.0001, respectively. We have considered Ener Core'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
0.0001
0.0001
Downside
0.0001
Expected Value
0.0001
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 Ener Core pink sheet data series using in forecasting. Note that when a statistical model is used to represent Ener Core 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 Criteria30.385
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 Ener Core. 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 Ener Core. 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 Ener Core

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ener Core. 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 Ener Core'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.
Hype
Prediction
LowEstimatedHigh
0.000.00010.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.0000840.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
0.00010.00010.0001
Details

Ener Core After-Hype Price Density Analysis

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

Ener Core Estimiated After-Hype Price Volatility

In the context of predicting Ener Core's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Ener Core's historical news coverage. Ener Core's after-hype downside and upside margins for the prediction period are 0.00 and 0.00, respectively. We have considered Ener Core'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
0.0001
0.0001
After-hype Price
0.00
Upside
Ener Core is very steady at this time. Analysis and calculation of next after-hype price of Ener Core is based on 3 months time horizon.

Ener Core Pink Sheet Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Ener Core is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Ener Core 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 Ener Core, 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
1 Events / Month
In a few days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
0.0001
0.0001
0.00 
0.00  
Notes

Ener Core Hype Timeline

Ener Core is currently traded for 0.0001. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Ener 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 Ener Core is about 0.0%, with the expected price after the next announcement by competition of 0.00. The company recorded a loss per share of 2.62. Ener Core had not issued any dividends in recent years. The entity had 1:50 split on the 8th of July 2015. Given the investment horizon of 90 days the next forecasted press release will be in a few days.
Check out Historical Fundamental Analysis of Ener Core to cross-verify your projections.

Ener Core Related Hype Analysis

Having access to credible news sources related to Ener Core's direct competition is more important than ever and may enhance your ability to predict Ener Core's future price movements. Getting to know how Ener Core'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 Ener Core 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
STYSStinger Systems 0.00 2 per month 0.00  0.00  0.00  0.00  0.00 
AHIIAmerican Heritage International 0.00 7 per month 0.00  0.03  0.00  0.00  150.00 
ALCNAtlantic Central Enterprise 0.00 2 per month 0.00  0.00  0.00  0.00  0.00 
AAIIQAlabama Aircraft Industries 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
UMAVUAV Corp 0.00 0 per month 15.00  0.06  27.27 (25.00) 324.11 
TCGNTechnology General 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
GETHGreen Envirotech Holdings 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
HIMRHollund Ind Marine 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
PPMTProfit Planners Management 0.00 0 per month 0.00  0.12  0.00  0.00  300.00 
ZEVYLightning eMotors 0.00 2 per month 0.00  0.12  0.00  0.00  9,999 

Other Forecasting Options for Ener Core

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

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

Ener Core Market Strength Events

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

Story Coverage note for Ener Core

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

Ener Core Short Properties

Ener Core's future price predictability will typically decrease when Ener Core's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Ener Core often depends not only on the future outlook of the potential Ener Core'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. Ener Core's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares OutstandingM
Cash And Short Term Investments208 K

Additional Tools for Ener Pink Sheet Analysis

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