Sensor Technologies Pink Sheet Forward View - Polynomial Regression
| MOOIF Stock | USD 0.0007 0.00 0.00% |
Sensor Pink Sheet outlook is based on your current time horizon. We recommend always using this module together with an analysis of Sensor Technologies' historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 29th of January 2026 the relative strength index (rsi) of Sensor Technologies' share price is below 20 . This indicates 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 Sensor Technologies hype-based prediction, you can estimate the value of Sensor Technologies Corp from the perspective of Sensor Technologies response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Sensor Technologies Corp on the next trading day is expected to be 0.0008 with a mean absolute deviation of 0.000038 and the sum of the absolute errors of 0. Sensor Technologies after-hype prediction price | USD 7.74E-4 |
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.
Sensor |
Sensor Technologies Additional Predictive Modules
Most predictive techniques to examine Sensor price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Sensor using various technical indicators. When you analyze Sensor 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 |
Sensor Technologies Polynomial Regression Price Forecast For the 30th of January
Given 90 days horizon, the Polynomial Regression forecasted value of Sensor Technologies Corp on the next trading day is expected to be 0.0008 with a mean absolute deviation of 0.000038, mean absolute percentage error of 0, and the sum of the absolute errors of 0.Please note that although there have been many attempts to predict Sensor 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 Sensor Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Sensor Technologies Pink Sheet Forecast Pattern
| Backtest Sensor Technologies | Sensor Technologies Price Prediction | Buy or Sell Advice |
Sensor Technologies Forecasted Value
In the context of forecasting Sensor Technologies' 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. Sensor Technologies' downside and upside margins for the forecasting period are 0.000007 and 3.96, respectively. We have considered Sensor Technologies' 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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Sensor Technologies pink sheet data series using in forecasting. Note that when a statistical model is used to represent Sensor Technologies 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 | 98.4246 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0471 |
| SAE | Sum of the absolute errors | 0.0023 |
Predictive Modules for Sensor Technologies
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sensor Technologies 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.Sensor Technologies After-Hype Price Density Analysis
As far as predicting the price of Sensor Technologies 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 Sensor Technologies 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 Sensor Technologies, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Sensor Technologies Estimiated After-Hype Price Volatility
In the context of predicting Sensor Technologies' pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Sensor Technologies' historical news coverage. Sensor Technologies' after-hype downside and upside margins for the prediction period are 0.00 and 3.96, respectively. We have considered Sensor Technologies' 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
Sensor Technologies is out of control at this time. Analysis and calculation of next after-hype price of Sensor Technologies Corp is based on 3 months time horizon.
Sensor Technologies Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Sensor Technologies is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Sensor Technologies 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 Sensor Technologies, 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 |
0.63 | 3.96 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Uncertain |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.0007 | 0.0008 | 10.51 |
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Sensor Technologies Hype Timeline
Sensor Technologies Corp is now traded for 0.0007. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Sensor is forecasted to increase in value after the next headline, with the price projected to jump to 7.74E-4 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 10.51%, whereas the daily expected return is now at -0.63%. The volatility of related hype on Sensor Technologies is about 0.0%, with the expected price after the next announcement by competition of 0.00. Sensor Technologies Corp has accumulated 60 K in total debt with debt to equity ratio (D/E) of 1.42, which is about average as compared to similar companies. Sensor Technologies Corp has a current ratio of 0.71, indicating that it has a negative working capital and may not be able to pay financial obligations in time and when they become due. Debt can assist Sensor Technologies until it has trouble settling it off, either with new capital or with free cash flow. So, Sensor Technologies' shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Sensor Technologies Corp sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Sensor to invest in growth at high rates of return. When we think about Sensor Technologies' use of debt, we should always consider it together with cash and equity.Assuming the 90 days horizon the next forecasted press release will be uncertain. Check out Historical Fundamental Analysis of Sensor Technologies to cross-verify your projections.Sensor Technologies Related Hype Analysis
Having access to credible news sources related to Sensor Technologies' direct competition is more important than ever and may enhance your ability to predict Sensor Technologies' future price movements. Getting to know how Sensor Technologies' 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 Sensor Technologies may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SPOFF | Goldspot Discoveries Corp | 0.00 | 0 per month | 4.19 | 0.24 | 13.04 | (7.41) | 39.78 | |
| LGLOF | Link Global Technologies | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| MLBEF | Webcentral Group Limited | 0.00 | 0 per month | 15.47 | 0.07 | 45.74 | (30.89) | 124.11 | |
| SIMTF | SIM Technology Group | 0.00 | 0 per month | 0.00 | 0.12 | 0.00 | 0.00 | 271.14 | |
| EAGRF | Leaf Mobile | 0.00 | 0 per month | 0.00 | (0.13) | 0.00 | (4.35) | 32.21 | |
| CYBL | Cyberlux Corp | 0.00 | 0 per month | 0.00 | (0.17) | 13.64 | (11.11) | 40.52 | |
| CCTC | Clean Coal Technologies | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SCIA | SCI Engineered Materials | 0.00 | 0 per month | 2.12 | 0.11 | 5.50 | (4.79) | 13.39 | |
| LTCH | Latch Inc | 0.00 | 0 per month | 5.13 | 0.14 | 16.67 | (7.69) | 38.10 |
Other Forecasting Options for Sensor Technologies
For every potential investor in Sensor, whether a beginner or expert, Sensor Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Sensor Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Sensor. Basic forecasting techniques help filter out the noise by identifying Sensor Technologies' price trends.Sensor Technologies 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 Sensor Technologies pink sheet to make a market-neutral strategy. Peer analysis of Sensor Technologies could also be used in its relative valuation, which is a method of valuing Sensor Technologies by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Sensor Technologies Market Strength Events
Market strength indicators help investors to evaluate how Sensor Technologies 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 Sensor Technologies shares will generate the highest return on investment. By undertsting and applying Sensor Technologies pink sheet market strength indicators, traders can identify Sensor Technologies Corp entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 7.0E-4 | |||
| Day Typical Price | 7.0E-4 |
Sensor Technologies Risk Indicators
The analysis of Sensor Technologies' 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 Sensor Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sensor 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 | 1.22 | |||
| Standard Deviation | 3.96 | |||
| Variance | 15.7 |
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 Sensor Technologies
The number of cover stories for Sensor Technologies depends on current market conditions and Sensor Technologies' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Sensor Technologies 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 Sensor Technologies' 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 Sensor Pink Sheet
Sensor Technologies financial ratios help investors to determine whether Sensor 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 Sensor with respect to the benefits of owning Sensor Technologies security.