Ocean Thermal Energy Stock Price Prediction
| CPWR Stock | USD 0.01 0.0009 12.68% |
Momentum 55
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 fear of missing out, i.e., FOMO, can cause potential investors in Ocean Thermal to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying Ocean because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell pink sheets at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Ocean Thermal after-hype prediction price | USD 0.006418 |
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 |
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 |
27.00 | 132.55 | 0.00 | 0.46 | 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 | 3.52 |
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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 -0.46. Ocean is anticipated to increase in value after the next headline, with the price projected to jump to 0.006418 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 3.52%, whereas the daily expected return is currently at 27.0%. The volatility of related hype on Ocean Thermal is about 779705.88%, with the expected price after the next announcement by competition of -0.45. 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 Ocean Thermal Basic Forecasting Models 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 | |
| PWCO | PwrCor Inc | 0.00 | 0 per month | 10.19 | 0.09 | 40.82 | (26.09) | 194.61 | |
| ASRE | Astra Energy | 0.00 | 0 per month | 11.40 | (0) | 21.21 | (19.13) | 62.21 | |
| VXIT | VirExit Technologies | 0.00 | 0 per month | 10.92 | 0.14 | 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 | |
| ALCE | Alternus Energy Group | 0.00 | 0 per month | 0.00 | (0.14) | 28.57 | (42.07) | 189.10 | |
| MMMW | Mass Megawat Wind | (0.17) | 1 per month | 10.03 | 0.04 | 17.65 | (18.75) | 107.54 | |
| GSFI | Green Stream Holdings | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| AWSL | Atlantic Wind Solar | 0.00 | 0 per month | 0.00 | (0.05) | 28.24 | (22.13) | 82.14 |
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 |
About Ocean Thermal Predictive Indicators
The successful prediction of Ocean Thermal stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Ocean Thermal Energy, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Ocean Thermal based on analysis of Ocean Thermal hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Ocean Thermal's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Ocean Thermal's related companies.
Pair Trading with Ocean Thermal
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Ocean Thermal position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Ocean Thermal will appreciate offsetting losses from the drop in the long position's value.Moving against Ocean Pink Sheet
| 0.65 | OEZVF | VERBUND AG | PairCorr |
| 0.53 | CLPXY | China Longyuan Power Downward Rally | PairCorr |
| 0.47 | FNMFO | Federal National Mortgage | PairCorr |
| 0.35 | CEG | Constellation Energy Corp | PairCorr |
The ability to find closely correlated positions to Ocean Thermal could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ocean Thermal when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Ocean Thermal - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Ocean Thermal Energy to buy it.
The correlation of Ocean Thermal is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Ocean Thermal moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ocean Thermal Energy moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Ocean Thermal can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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.