Ocean Thermal Pink Sheet Forecast - Naive Prediction
| CPWR Stock | USD 0.01 0.0009 12.68% |
The Naive Prediction forecasted value of Ocean Thermal Energy on the next trading day is expected to be 0 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.13. Ocean Pink Sheet Forecast is based on your current time horizon.
As of today, the relative strength index (RSI) of Ocean Thermal's share price is approaching 47 suggesting 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 Ocean Thermal, making its price go up or down. Momentum 47
Impartial
Oversold | Overbought |
Using Ocean Thermal hype-based prediction, you can estimate the value of Ocean Thermal Energy from the perspective of Ocean Thermal response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Ocean Thermal Energy on the next trading day is expected to be 0 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.13. Ocean Thermal after-hype prediction price | USD 0.006421 |
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.
Ocean |
Ocean Thermal Additional Predictive Modules
Most predictive techniques to examine Ocean price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Ocean using various technical indicators. When you analyze Ocean 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 |
Ocean Thermal Naive Prediction Price Forecast For the 24th of January
Given 90 days horizon, the Naive Prediction forecasted value of Ocean Thermal Energy on the next trading day is expected to be 0 with a mean absolute deviation of 0, mean absolute percentage error of 0.00000776, and the sum of the absolute errors of 0.13.Please note that although there have been many attempts to predict Ocean 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 Ocean Thermal's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Ocean Thermal Pink Sheet Forecast Pattern
| Backtest Ocean Thermal | Ocean Thermal Price Prediction | Buy or Sell Advice |
Ocean Thermal Forecasted Value
In the context of forecasting Ocean Thermal'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. Ocean Thermal's downside and upside margins for the forecasting period are 0.000062 and 133.60, respectively. We have considered Ocean Thermal'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Ocean Thermal pink sheet data series using in forecasting. Note that when a statistical model is used to represent Ocean Thermal 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 | 108.1816 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.002 |
| MAPE | Mean absolute percentage error | 0.5134 |
| SAE | Sum of the absolute errors | 0.1259 |
Predictive Modules for Ocean Thermal
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ocean Thermal Energy. 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 Ocean Thermal'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.
Ocean Thermal After-Hype Price Prediction Density Analysis
As far as predicting the price of Ocean Thermal 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 Ocean Thermal 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 Ocean Thermal, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Ocean Thermal Estimiated After-Hype Price Volatility
In the context of predicting Ocean Thermal's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Ocean Thermal's historical news coverage. Ocean Thermal's after-hype downside and upside margins for the prediction period are 0.00 and 50.32, respectively. We have considered Ocean Thermal'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
Ocean Thermal is out of control at this time. Analysis and calculation of next after-hype price of Ocean Thermal Energy is based on 3 months time horizon.
Ocean Thermal Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Ocean Thermal is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Ocean Thermal 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 Ocean Thermal, 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 |
27.44 | 133.60 | 0.00 | 0.58 | 0 Events / Month | 0 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.01 | 0.01 | 3.57 |
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Ocean Thermal Hype Timeline
Ocean Thermal Energy is currently traded for 0.01. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.58. Ocean is anticipated to increase in value after the next headline, with the price projected to jump to 0.006421 or above. The average volatility of media hype impact on the company the price is insignificant. The price gain on the next news is estimated to be 3.57%, whereas the daily expected return is currently at 27.44%. The volatility of related hype on Ocean Thermal is about 629075.93%, with the expected price after the next announcement by competition of -0.57. Ocean Thermal Energy currently holds 226.79 K in liabilities with Debt to Equity (D/E) ratio of 0.01, which may suggest the company is not taking enough advantage from borrowing. Given the investment horizon of 90 days the next anticipated press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of Ocean Thermal to cross-verify your projections.Ocean Thermal Related Hype Analysis
Having access to credible news sources related to Ocean Thermal's direct competition is more important than ever and may enhance your ability to predict Ocean Thermal's future price movements. Getting to know how Ocean Thermal'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 Ocean Thermal may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| GEBRF | Greenbriar Capital Corp | 0.00 | 0 per month | 16.22 | 0.15 | 54.93 | (37.50) | 310.82 | |
| FNEC | First National Energy | 0.00 | 0 per month | 0.00 | 0.11 | 0.00 | 0.00 | 1,028 | |
| ASRE | Astra Energy | 0.00 | 0 per month | 0.00 | (0.01) | 21.21 | (19.62) | 62.21 | |
| VXIT | VirExit Technologies | 0.00 | 0 per month | 10.81 | 0.13 | 33.33 | (25.00) | 91.67 | |
| IICN | China Intel Info | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| MMMW | Mass Megawat Wind | (0.17) | 4 per month | 10.03 | 0.04 | 17.65 | (18.75) | 107.54 | |
| GSFI | Green Stream Holdings | 0.00 | 1 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| AWSL | Atlantic Wind Solar | 0.00 | 0 per month | 0.00 | (0.09) | 24.50 | (22.13) | 69.66 |
Other Forecasting Options for Ocean Thermal
For every potential investor in Ocean, whether a beginner or expert, Ocean Thermal's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Ocean Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Ocean. Basic forecasting techniques help filter out the noise by identifying Ocean Thermal's price trends.Ocean Thermal 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 Ocean Thermal pink sheet to make a market-neutral strategy. Peer analysis of Ocean Thermal could also be used in its relative valuation, which is a method of valuing Ocean Thermal by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Ocean Thermal Market Strength Events
Market strength indicators help investors to evaluate how Ocean Thermal 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 Ocean Thermal shares will generate the highest return on investment. By undertsting and applying Ocean Thermal pink sheet market strength indicators, traders can identify Ocean Thermal Energy entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.87 | |||
| Day Median Price | 0.0062 | |||
| Day Typical Price | 0.0062 | |||
| Price Action Indicator | (0.0004) | |||
| Period Momentum Indicator | (0.0009) | |||
| Relative Strength Index | 47.47 |
Ocean Thermal Risk Indicators
The analysis of Ocean Thermal'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 Ocean Thermal's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ocean 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 | 55.77 | |||
| Semi Deviation | 18.73 | |||
| Standard Deviation | 128.99 | |||
| Variance | 16637.35 | |||
| Downside Variance | 1426.92 | |||
| Semi Variance | 350.72 | |||
| Expected Short fall | (226.03) |
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 Ocean Thermal
The number of cover stories for Ocean Thermal depends on current market conditions and Ocean Thermal's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Ocean Thermal 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 Ocean Thermal'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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Ocean Thermal Short Properties
Ocean Thermal's future price predictability will typically decrease when Ocean Thermal's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Ocean Thermal Energy often depends not only on the future outlook of the potential Ocean Thermal'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. Ocean Thermal's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 136.3 M | |
| Cash And Short Term Investments | 957.00 |
Additional Tools for Ocean Pink Sheet Analysis
When running Ocean Thermal's price analysis, check to measure Ocean Thermal'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 Ocean Thermal is operating at the current time. Most of Ocean Thermal's value examination focuses on studying past and present price action to predict the probability of Ocean Thermal's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ocean Thermal's price. Additionally, you may evaluate how the addition of Ocean Thermal to your portfolios can decrease your overall portfolio volatility.