Strata Power Pink Sheet Forward View - Simple Exponential Smoothing
| SPOWF Stock | USD 0.02 0.01 34.48% |
Strata Pink Sheet outlook is based on your current time horizon. We suggest always using this module together with an analysis of Strata Power's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 3rd of February 2026, the relative strength index (RSI) of Strata Power's share price is approaching 46. This usually implies that the pink sheet is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Strata Power, making its price go up or down. Momentum 46
Impartial
Oversold | Overbought |
Using Strata Power hype-based prediction, you can estimate the value of Strata Power Corp from the perspective of Strata Power response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Strata Power Corp on the next trading day is expected to be 0.02 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.13. Strata Power after-hype prediction price | USD 0.02 |
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.
Strata |
Strata Power Additional Predictive Modules
Most predictive techniques to examine Strata price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Strata using various technical indicators. When you analyze Strata 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 |
Strata Power Simple Exponential Smoothing Price Forecast For the 4th of February
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Strata Power Corp on the next trading day is expected to be 0.02 with a mean absolute deviation of 0, mean absolute percentage error of 0.000014, and the sum of the absolute errors of 0.13.Please note that although there have been many attempts to predict Strata 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 Strata Power's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Strata Power Pink Sheet Forecast Pattern
| Backtest Strata Power | Strata Power Price Prediction | Research Analysis |
Strata Power Forecasted Value
In the context of forecasting Strata Power'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. Strata Power's downside and upside margins for the forecasting period are 0.0002 and 19.29, respectively. We have considered Strata Power'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 Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Strata Power pink sheet data series using in forecasting. Note that when a statistical model is used to represent Strata Power 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 | 106.9399 |
| Bias | Arithmetic mean of the errors | 2.0E-4 |
| MAD | Mean absolute deviation | 0.0021 |
| MAPE | Mean absolute percentage error | 0.117 |
| SAE | Sum of the absolute errors | 0.1272 |
Predictive Modules for Strata Power
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Strata Power 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Strata Power'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.
Strata Power After-Hype Price Density Analysis
As far as predicting the price of Strata Power 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 Strata Power 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 Strata Power, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Strata Power Estimiated After-Hype Price Volatility
In the context of predicting Strata Power's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Strata Power's historical news coverage. Strata Power's after-hype downside and upside margins for the prediction period are 0.00 and 19.29, respectively. We have considered Strata Power'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
Strata Power is out of control at this time. Analysis and calculation of next after-hype price of Strata Power Corp is based on 3 months time horizon.
Strata Power Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Strata Power is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Strata Power 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 Strata Power, 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 |
1.03 | 19.27 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.02 | 0.02 | 5.26 |
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Strata Power Hype Timeline
Strata Power Corp is at this time traded for 0.02. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Strata is anticipated to increase in value after the next headline, with the price projected to jump to 0.02 or above. The average volatility of media hype impact on the company the price is insignificant. The price rise on the next news is estimated to be 5.26%, whereas the daily expected return is at this time at 1.03%. The volatility of related hype on Strata Power is about 0.0%, with the expected price after the next announcement by competition of 0.02. Strata Power Corp has accumulated about 52.59 K in cash with (85.91 K) of positive cash flow from operations. Assuming the 90 days horizon the next anticipated press release will be within a week. Check out Historical Fundamental Analysis of Strata Power to cross-verify your projections.Strata Power Related Hype Analysis
Having access to credible news sources related to Strata Power's direct competition is more important than ever and may enhance your ability to predict Strata Power's future price movements. Getting to know how Strata Power'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 Strata Power may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| PFNO | Parafin Corp | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| ROAOF | LGX Oil Gas | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| MKGP | Maverick Energy Group | 0.00 | 0 per month | 9.08 | 0.1 | 26.00 | (24.14) | 62.16 | |
| STTX | Stratex Oil Gas | 0.00 | 0 per month | 15.63 | 0.09 | 66.67 | (38.00) | 170.91 | |
| PDGO | Paradigm Oil And | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| MRGE | Mirage Energy Corp | 0.00 | 0 per month | 16.28 | 0.23 | 100.00 | (50.00) | 200.00 | |
| SDURF | Stroud Resources | 0.00 | 0 per month | 0.00 | 0.13 | 50.00 | (12.22) | 841.18 | |
| FNRC | 1st NRG Corp | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| BRLL | Barrel Energy | 0.00 | 0 per month | 10.19 | 0.07 | 25.00 | (20.00) | 48.70 | |
| MKRYF | Manitok Energy | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Other Forecasting Options for Strata Power
For every potential investor in Strata, whether a beginner or expert, Strata Power's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Strata Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Strata. Basic forecasting techniques help filter out the noise by identifying Strata Power's price trends.Strata Power 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 Strata Power pink sheet to make a market-neutral strategy. Peer analysis of Strata Power could also be used in its relative valuation, which is a method of valuing Strata Power by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Strata Power Market Strength Events
Market strength indicators help investors to evaluate how Strata Power 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 Strata Power shares will generate the highest return on investment. By undertsting and applying Strata Power pink sheet market strength indicators, traders can identify Strata Power Corp entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.66 | |||
| Day Median Price | 0.019 | |||
| Day Typical Price | 0.019 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | (0.01) | |||
| Relative Strength Index | 46.37 |
Strata Power Risk Indicators
The analysis of Strata Power'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 Strata Power's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting strata 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 | 13.96 | |||
| Semi Deviation | 12.97 | |||
| Standard Deviation | 26.63 | |||
| Variance | 709.02 | |||
| Downside Variance | 582.35 | |||
| Semi Variance | 168.25 | |||
| Expected Short fall | (35.88) |
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 Strata Power
The number of cover stories for Strata Power depends on current market conditions and Strata Power's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Strata Power 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 Strata Power'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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Strata Power Short Properties
Strata Power's future price predictability will typically decrease when Strata Power's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Strata Power Corp often depends not only on the future outlook of the potential Strata Power'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. Strata Power's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 19.3 M | |
| Short Long Term Debt | 33.5 K | |
| Cash And Short Term Investments | 7696.00 | |
| Shares Float | 8.1 M |
Other Information on Investing in Strata Pink Sheet
Strata Power financial ratios help investors to determine whether Strata Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Strata with respect to the benefits of owning Strata Power security.