Solar Energy Pink Sheet Forward View - Double Exponential Smoothing
| SNRY Stock | USD 0.0009 0.0005 125.00% |
Solar Pink Sheet outlook is based on your current time horizon.
At this time, The relative strength index (RSI) of Solar Energy's share price is at 55. This usually implies that the pink sheet is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Solar Energy, making its price go up or down. Momentum 55
Impartial
Oversold | Overbought |
Using Solar Energy hype-based prediction, you can estimate the value of Solar Energy Initiat from the perspective of Solar Energy response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of Solar Energy Initiat on the next trading day is expected to be 0.0007 with a mean absolute deviation of 0.0002 and the sum of the absolute errors of 0.01. Solar Energy after-hype prediction price | USD 8.38E-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.
Solar |
Solar Energy Additional Predictive Modules
Most predictive techniques to examine Solar price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Solar using various technical indicators. When you analyze Solar 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 |
Solar Energy Double Exponential Smoothing Price Forecast For the 1st of February
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Solar Energy Initiat on the next trading day is expected to be 0.0007 with a mean absolute deviation of 0.0002, mean absolute percentage error of 0.00000005, and the sum of the absolute errors of 0.01.Please note that although there have been many attempts to predict Solar 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 Solar Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Solar Energy Pink Sheet Forecast Pattern
| Backtest Solar Energy | Solar Energy Price Prediction | Buy or Sell Advice |
Solar Energy Forecasted Value
In the context of forecasting Solar Energy'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. Solar Energy's downside and upside margins for the forecasting period are 0.000009 and 50.39, respectively. We have considered Solar Energy'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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Solar Energy pink sheet data series using in forecasting. Note that when a statistical model is used to represent Solar Energy 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 | Huge |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 2.0E-4 |
| MAPE | Mean absolute percentage error | 0.2949 |
| SAE | Sum of the absolute errors | 0.0097 |
Predictive Modules for Solar Energy
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Solar Energy Initiat. 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.Solar Energy After-Hype Price Density Analysis
As far as predicting the price of Solar Energy 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 Solar Energy 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 Solar Energy, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Solar Energy Estimiated After-Hype Price Volatility
In the context of predicting Solar Energy's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Solar Energy's historical news coverage. Solar Energy's after-hype downside and upside margins for the prediction period are 0.00 and 50.05, respectively. We have considered Solar Energy'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
Solar Energy is out of control at this time. Analysis and calculation of next after-hype price of Solar Energy Initiat is based on 3 months time horizon.
Solar Energy Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Solar Energy is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Solar Energy 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 Solar Energy, 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 |
13.44 | 50.39 | 0.00 | 0.00 | 0 Events / Month | 1 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.0009 | 0.0008 | 6.93 |
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Solar Energy Hype Timeline
Solar Energy Initiat is at this time traded for 0.0009. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Solar is projected to decline in value after the next headline, with the price expected to drop to 8.38E-4. The average volatility of media hype impact on the company price is insignificant. The price decrease on the next news is expected to be -6.93%, whereas the daily expected return is at this time at 13.44%. The volatility of related hype on Solar Energy is about 1.25975E8%, with the expected price after the next announcement by competition of 0.00. The company had not issued any dividends in recent years. Solar Energy Initiat had 1:100 split on the 7th of March 2012. Given the investment horizon of 90 days the next projected press release will be within a week. Check out Historical Fundamental Analysis of Solar Energy to cross-verify your projections.Solar Energy Related Hype Analysis
Having access to credible news sources related to Solar Energy's direct competition is more important than ever and may enhance your ability to predict Solar Energy's future price movements. Getting to know how Solar Energy'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 Solar Energy may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| EXBX | Exobox Tech Corp | 0.00 | 1 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| USRI | USA Recycling Industries | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| PMPG | Premier Products Group | (0.0004) | 2 per month | 0.00 | 0.18 | 100.00 | (50.00) | 150.00 | |
| PBAJ | Petro Usa | 0.00 | 0 per month | 0.00 | 0.12 | 0.00 | 0.00 | 150.00 | |
| TMEB | Terme Bancorp | 0.00 | 2 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| WLYW | Wally World Media | 0.00 | 3 per month | 0.00 | 0.12 | 0.00 | 0.00 | 100.00 | |
| APWL | Advanced Powerline Technologies | 0.00 | 0 per month | 0.00 | 0.03 | 0.00 | 0.00 | 83.33 | |
| TGMR | Troy Gold Mineral | 0.00 | 0 per month | 0.00 | 0.09 | 8.77 | 0.00 | 297.23 | |
| CIVX | CTR Investments Consulting | 0.00 | 4 per month | 0.00 | 0.07 | 50.00 | (33.33) | 150.00 | |
| DHCC | Diamondhead Casino Corp | 0.00 | 0 per month | 0.00 | 0.14 | 33.33 | (30.00) | 1,326 |
Other Forecasting Options for Solar Energy
For every potential investor in Solar, whether a beginner or expert, Solar Energy's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Solar Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Solar. Basic forecasting techniques help filter out the noise by identifying Solar Energy's price trends.Solar Energy 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 Solar Energy pink sheet to make a market-neutral strategy. Peer analysis of Solar Energy could also be used in its relative valuation, which is a method of valuing Solar Energy by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Solar Energy Market Strength Events
Market strength indicators help investors to evaluate how Solar Energy 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 Solar Energy shares will generate the highest return on investment. By undertsting and applying Solar Energy pink sheet market strength indicators, traders can identify Solar Energy Initiat entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 2.25 | |||
| Day Median Price | 9.0E-4 | |||
| Day Typical Price | 9.0E-4 | |||
| Price Action Indicator | 3.0E-4 | |||
| Period Momentum Indicator | 5.0E-4 | |||
| Relative Strength Index | 55.96 |
Solar Energy Risk Indicators
The analysis of Solar Energy'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 Solar Energy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting solar 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.
| Mean Deviation | 31.48 | |||
| Semi Deviation | 21.51 | |||
| Standard Deviation | 46.88 | |||
| Variance | 2197.5 | |||
| Downside Variance | 2736.49 | |||
| Semi Variance | 462.68 | |||
| Expected Short fall | (90.66) |
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 Solar Energy
The number of cover stories for Solar Energy depends on current market conditions and Solar Energy's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Solar Energy 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 Solar Energy'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 Solar Pink Sheet Analysis
When running Solar Energy's price analysis, check to measure Solar Energy'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 Solar Energy is operating at the current time. Most of Solar Energy's value examination focuses on studying past and present price action to predict the probability of Solar Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Solar Energy's price. Additionally, you may evaluate how the addition of Solar Energy to your portfolios can decrease your overall portfolio volatility.