John Wood Pink Sheet Forecast - Simple Moving Average
| WDGJF Stock | USD 0.36 0.04 12.50% |
The Simple Moving Average forecasted value of John Wood Group on the next trading day is expected to be 0.36 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.83. John Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of John Wood's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 23rd of January 2026 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 Simple Moving Average forecasted value of John Wood Group on the next trading day is expected to be 0.36 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.83. John Wood after-hype prediction price | USD 0.32 |
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.
John |
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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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
John Wood Simple Moving Average Price Forecast For the 24th of January
Given 90 days horizon, the Simple Moving Average forecasted value of John Wood Group on the next trading day is expected to be 0.36 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0005, and the sum of the absolute errors of 0.83.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
| Backtest John Wood | John Wood Price Prediction | Buy or Sell Advice |
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 0 and 7.36, 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 Simple Moving Average 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 | 106.8971 |
| Bias | Arithmetic mean of the errors | 8.0E-4 |
| MAD | Mean absolute deviation | 0.0142 |
| MAPE | Mean absolute percentage error | 0.0424 |
| SAE | Sum of the absolute errors | 0.835 |
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 Prediction 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 0.02 and 7.32, 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 out of control 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 Prediction 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 |
0.11 | 7.00 | 0.04 | 0.01 | 9 Events / Month | 3 Events / Month | In about 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.36 | 0.32 | 11.11 |
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John Wood Hype Timeline
John Wood Group is at this time traded for 0.36. The entity has historical hype elasticity of -0.04, and average elasticity to hype of competition of -0.01. John is forecasted to decline in value after the next headline, with the price expected to drop to 0.32. The average volatility of media hype impact on the company price is over 100%. The price reduction on the next news is expected to be -11.11%, whereas the daily expected return is at this time at 0.11%. The volatility of related hype on John Wood is about 10937.5%, with the expected price after the next announcement by competition of 0.35. About 84.0% of the company outstanding shares are owned by institutional investors. The company has Price to Book (P/B) ratio of 0.27. 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 0.21. 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 9 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 | |||
| FECCF | Frontera Energy Corp | 0.16 | 8 per month | 1.79 | 0.13 | 5.29 | (2.92) | 13.44 | |
| ENQUF | EnQuest PLC | 0.16 | 8 per month | 2.08 | 0.04 | 7.69 | (6.67) | 20.48 | |
| NBRWF | Nabors Industries | (0.64) | 2 per month | 16.94 | 0.09 | 44.44 | (35.00) | 150.48 | |
| EXCE | EXCO Resources | 0.00 | 0 per month | 2.32 | 0.13 | 5.88 | (4.48) | 21.83 | |
| TUWOY | Tullow Oil PLC | 0.16 | 6 per month | 9.17 | (0.0006) | 25.00 | (20.00) | 58.33 | |
| TUWLF | Tullow Oil plc | 0.00 | 0 per month | 10.43 | 0 | 20.00 | (28.57) | 105.56 | |
| GEGYF | Genel Energy plc | 0.16 | 10 per month | 0.00 | (0.07) | 1.19 | 0.00 | 10.98 | |
| PHXHF | PHX Energy Services | (0.64) | 2 per month | 1.76 | 0.06 | 2.78 | (2.50) | 9.21 | |
| PESAF | Panoro Energy ASA | 0.00 | 0 per month | 0.00 | (0.18) | 0.00 | 0.00 | 11.38 | |
| SNVVF | STEP Energy Services | 0.00 | 8 per month | 0.00 | 0.1 | 0.77 | 0.00 | 21.84 |
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.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.13 | |||
| Day Median Price | 0.36 | |||
| Day Typical Price | 0.36 | |||
| Price Action Indicator | 0.02 | |||
| Period Momentum Indicator | 0.04 |
John Wood Risk Indicators
The analysis of John Wood'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 John Wood's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting john 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 | 3.5 | |||
| Semi Deviation | 5.04 | |||
| Standard Deviation | 6.68 | |||
| Variance | 44.56 | |||
| Downside Variance | 152.97 | |||
| Semi Variance | 25.35 | |||
| Expected Short fall | (10.63) |
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 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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Other Information on Investing in John Pink Sheet
John Wood financial ratios help investors to determine whether John 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 John with respect to the benefits of owning John Wood security.