John Wood Pink Sheet Forecast - Naive Prediction
| WDGJY Stock | USD 1.00 0.00 0.00% |
John Pink Sheet outlook is based on your current time horizon.
At this time the relative strength index (rsi) of John Wood's share price is below 20 . This entails 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 John Wood hype-based prediction, you can estimate the value of John Wood Group from the perspective of John Wood response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of John Wood Group on the next trading day is expected to be 1.00 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. John Wood after-hype prediction price | USD 1.0 |
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.
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John Wood Additional Predictive Modules
Most predictive techniques to examine John price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for John using various technical indicators. When you analyze John 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 | ||
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John Wood Naive Prediction Price Forecast For the 27th of January
Given 90 days horizon, the Naive Prediction forecasted value of John Wood Group on the next trading day is expected to be 1.00 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 John 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 John Wood's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
John Wood Pink Sheet Forecast Pattern
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John Wood Forecasted Value
In the context of forecasting John Wood'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. John Wood's downside and upside margins for the forecasting period are 1.00 and 1.00, respectively. We have considered John Wood'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 John Wood pink sheet data series using in forecasting. Note that when a statistical model is used to represent John Wood 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 John Wood
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as John Wood Group. 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.John Wood After-Hype Price Density Analysis
As far as predicting the price of John Wood 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 John Wood 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 John Wood, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
John Wood Estimiated After-Hype Price Volatility
In the context of predicting John Wood's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on John Wood's historical news coverage. John Wood's after-hype downside and upside margins for the prediction period are 1.00 and 1.00, respectively. We have considered John Wood'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
John Wood is very steady at this time. Analysis and calculation of next after-hype price of John Wood Group is based on 3 months time horizon.
John Wood Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as John Wood is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading John Wood 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 John Wood, 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 | 6 Events / Month | 3 Events / Month | In about 6 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
1.00 | 1.00 | 0.00 |
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John Wood Hype Timeline
John Wood Group is at this time traded for 1.00. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. John 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 at this time at 0.0%. %. The volatility of related hype on John Wood is about 0.0%, with the expected price after the next announcement by competition of 1.00. The company has Price to Book (P/B) ratio of 0.3. Historically many companies with similar price-to-book (P/B) ratio do better than the market in the long run. John Wood Group recorded a loss per share of 0.41. The entity last dividend was issued on the 16th of April 2020. Assuming the 90 days horizon the next forecasted press release will be in about 6 days. Check out Historical Fundamental Analysis of John Wood to cross-verify your projections.John Wood Related Hype Analysis
Having access to credible news sources related to John Wood's direct competition is more important than ever and may enhance your ability to predict John Wood's future price movements. Getting to know how John Wood'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 John Wood may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| EXCE | EXCO Resources | (0.15) | 8 per month | 2.36 | 0.09 | 5.33 | (4.48) | 21.83 | |
| UNTC | Unit Corporation | (0.83) | 2 per month | 1.12 | 0.02 | 1.96 | (1.68) | 5.80 | |
| AKKVF | Akastor ASA | (0.83) | 2 per month | 0.00 | 0.05 | 0.00 | 0.00 | 9.09 | |
| ESVIF | Ensign Energy Services | (0.83) | 2 per month | 2.62 | 0.13 | 5.95 | (4.97) | 14.76 | |
| TOTZF | Total Energy Services | (0.15) | 4 per month | 1.64 | 0.12 | 2.73 | (2.20) | 10.98 | |
| PEGIY | Energi Mega Persada | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| OILSF | Saturn Oil Gas | (0.15) | 12 per month | 2.64 | 0.10 | 5.08 | (4.44) | 12.06 | |
| EEGUF | Empire Energy Group | (0.83) | 2 per month | 0.00 | (0.12) | 5.56 | (10.53) | 29.43 | |
| CEIEF | Coelacanth Energy | 0.00 | 0 per month | 2.03 | 0.0009 | 3.45 | (4.84) | 14.04 | |
| ATONY | Anton Oilfield Services | 0.00 | 0 per month | 0.00 | (0.13) | 0.00 | 0.00 | 34.61 |
Other Forecasting Options for John Wood
For every potential investor in John, whether a beginner or expert, John Wood's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. John Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in John. Basic forecasting techniques help filter out the noise by identifying John Wood's price trends.John Wood 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 John Wood pink sheet to make a market-neutral strategy. Peer analysis of John Wood could also be used in its relative valuation, which is a method of valuing John Wood by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
John Wood Market Strength Events
Market strength indicators help investors to evaluate how John Wood 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 John Wood shares will generate the highest return on investment. By undertsting and applying John Wood pink sheet market strength indicators, traders can identify John Wood Group entry and exit signals to maximize returns.
Story Coverage note for John Wood
The number of cover stories for John Wood depends on current market conditions and John Wood's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that John Wood 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 John Wood'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 John Pink Sheet Analysis
When running John Wood's price analysis, check to measure John Wood'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 John Wood is operating at the current time. Most of John Wood's value examination focuses on studying past and present price action to predict the probability of John Wood's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move John Wood's price. Additionally, you may evaluate how the addition of John Wood to your portfolios can decrease your overall portfolio volatility.