Electricity Generating Pink Sheet Forward View - Simple Moving Average
| EYUBY Stock | USD 22.11 0.00 0.00% |
Electricity Pink Sheet outlook is based on your current time horizon.
At this time the relative strength index (rsi) of Electricity Generating'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 |
Using Electricity Generating hype-based prediction, you can estimate the value of Electricity Generating PCL from the perspective of Electricity Generating response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of Electricity Generating PCL on the next trading day is expected to be 22.11 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Electricity Generating after-hype prediction price | USD 22.11 |
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.
Electricity |
Electricity Generating Additional Predictive Modules
Most predictive techniques to examine Electricity price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Electricity using various technical indicators. When you analyze Electricity 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Electricity Generating Simple Moving Average Price Forecast For the 7th of February
Given 90 days horizon, the Simple Moving Average forecasted value of Electricity Generating PCL on the next trading day is expected to be 22.11 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.Please note that although there have been many attempts to predict Electricity 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 Electricity Generating's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Electricity Generating Pink Sheet Forecast Pattern
| Backtest Electricity Generating | Electricity Generating Price Prediction | Research Analysis |
Electricity Generating Forecasted Value
In the context of forecasting Electricity Generating'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. Electricity Generating's downside and upside margins for the forecasting period are 22.11 and 22.11, respectively. We have considered Electricity Generating'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Electricity Generating pink sheet data series using in forecasting. Note that when a statistical model is used to represent Electricity Generating 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.| AIC | Akaike Information Criteria | -9.223372036854776E14 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for Electricity Generating
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Electricity Generating. 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.Electricity Generating After-Hype Price Density Analysis
As far as predicting the price of Electricity Generating 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 Electricity Generating 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 Electricity Generating, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Electricity Generating Estimiated After-Hype Price Volatility
In the context of predicting Electricity Generating's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Electricity Generating's historical news coverage. Electricity Generating's after-hype downside and upside margins for the prediction period are 22.11 and 22.11, respectively. We have considered Electricity Generating'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
Electricity Generating is very steady at this time. Analysis and calculation of next after-hype price of Electricity Generating is based on 3 months time horizon.
Electricity Generating Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Electricity Generating is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Electricity Generating 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 Electricity Generating, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.00 | 0.00 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
22.11 | 22.11 | 0.00 |
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Electricity Generating Hype Timeline
Electricity Generating is currently traded for 22.11. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Electricity 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 Electricity Generating is about 0.0%, with the expected price after the next announcement by competition of 22.11. The company has price-to-book (P/B) ratio of 0.86. Some equities with similar Price to Book (P/B) outperform the market in the long run. Electricity Generating has Price/Earnings To Growth (PEG) ratio of 0.22. The entity last dividend was issued on the 8th of September 2022. Assuming the 90 days horizon the next forecasted press release will be in a few days. Check out Historical Fundamental Analysis of Electricity Generating to cross-verify your projections.Electricity Generating Related Hype Analysis
Having access to credible news sources related to Electricity Generating's direct competition is more important than ever and may enhance your ability to predict Electricity Generating's future price movements. Getting to know how Electricity Generating'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 Electricity Generating may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| RGPCF | Ratch Group Public | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| ALRCF | Alerion Clean Power | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| TNSSF | TransAlta | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| CGEGF | CGN New Energy | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SR | Spire Inc | 0.25 | 11 per month | 1.21 | (0.04) | 1.56 | (2.11) | 4.16 | |
| INGXF | Innergex Renewable Energy | 0.00 | 0 per month | 1.43 | 0.02 | 2.89 | (1.81) | 9.89 | |
| ABOIF | Aboitiz Equity Ventures | 0.00 | 0 per month | 0.00 | 0.07 | 0.00 | 0.00 | 6.67 | |
| RJIFF | Rojana Industrial Park | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| ENGDF | Energiedienst Holding AG | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| TRSWF | TransAlta Renewables | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Other Forecasting Options for Electricity Generating
For every potential investor in Electricity, whether a beginner or expert, Electricity Generating's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Electricity Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Electricity. Basic forecasting techniques help filter out the noise by identifying Electricity Generating's price trends.Electricity Generating 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 Electricity Generating pink sheet to make a market-neutral strategy. Peer analysis of Electricity Generating could also be used in its relative valuation, which is a method of valuing Electricity Generating by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Electricity Generating Market Strength Events
Market strength indicators help investors to evaluate how Electricity Generating 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 Electricity Generating shares will generate the highest return on investment. By undertsting and applying Electricity Generating pink sheet market strength indicators, traders can identify Electricity Generating PCL entry and exit signals to maximize returns.
Story Coverage note for Electricity Generating
The number of cover stories for Electricity Generating depends on current market conditions and Electricity Generating's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Electricity Generating 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 Electricity Generating's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Additional Tools for Electricity Pink Sheet Analysis
When running Electricity Generating's price analysis, check to measure Electricity Generating'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 Electricity Generating is operating at the current time. Most of Electricity Generating's value examination focuses on studying past and present price action to predict the probability of Electricity Generating's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Electricity Generating's price. Additionally, you may evaluate how the addition of Electricity Generating to your portfolios can decrease your overall portfolio volatility.