Scientific Industries OTC Stock Forecast - 8 Period Moving Average
| SCND Stock | USD 0.52 0.01 1.89% |
The 8 Period Moving Average forecasted value of Scientific Industries on the next trading day is expected to be 0.55 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.09. Scientific OTC Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Scientific Industries stock prices and determine the direction of Scientific Industries's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Scientific Industries' historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time the value of rsi of Scientific Industries' share price is below 20 . This usually implies that the otc stock 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 |
It is a matter of debate whether otc price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of Scientific Industries based on different types of headlines from major news networks to social media. Using Scientific Industries hype-based prediction, you can estimate the value of Scientific Industries from the perspective of Scientific Industries response to recently generated media hype and the effects of current headlines on its competitors.
The 8 Period Moving Average forecasted value of Scientific Industries on the next trading day is expected to be 0.55 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.09. Scientific Industries after-hype prediction price | USD 0.51 |
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 otc price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Scientific |
Scientific Industries Additional Predictive Modules
Most predictive techniques to examine Scientific price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Scientific using various technical indicators. When you analyze Scientific 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 |
Scientific Industries 8 Period Moving Average Price Forecast For the 25th of January
Given 90 days horizon, the 8 Period Moving Average forecasted value of Scientific Industries on the next trading day is expected to be 0.55 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.09.Please note that although there have been many attempts to predict Scientific OTC Stock 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 Scientific Industries' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Scientific Industries OTC Stock Forecast Pattern
| Backtest Scientific Industries | Scientific Industries Price Prediction | Buy or Sell Advice |
Scientific Industries Forecasted Value
In the context of forecasting Scientific Industries' OTC Stock 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. Scientific Industries' downside and upside margins for the forecasting period are 0.01 and 6.73, respectively. We have considered Scientific Industries' 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 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Scientific Industries otc stock data series using in forecasting. Note that when a statistical model is used to represent Scientific Industries otc stock, 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 | 99.0871 |
| Bias | Arithmetic mean of the errors | 0.0101 |
| MAD | Mean absolute deviation | 0.0386 |
| MAPE | Mean absolute percentage error | 0.0653 |
| SAE | Sum of the absolute errors | 2.0862 |
Predictive Modules for Scientific Industries
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Scientific Industries. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc stock 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.Scientific Industries After-Hype Price Prediction Density Analysis
As far as predicting the price of Scientific Industries 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 Scientific Industries 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 OTC Stock prices, such as prices of Scientific Industries, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Scientific Industries Estimiated After-Hype Price Volatility
In the context of predicting Scientific Industries' otc stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Scientific Industries' historical news coverage. Scientific Industries' after-hype downside and upside margins for the prediction period are 0.03 and 6.70, respectively. We have considered Scientific Industries' 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
Scientific Industries is out of control at this time. Analysis and calculation of next after-hype price of Scientific Industries is based on 3 months time horizon.
Scientific Industries OTC Stock Price Prediction Analysis
Have you ever been surprised when a price of a OTC Stock such as Scientific Industries is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Scientific Industries 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 OTC 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 Scientific Industries, 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 |
0.23 | 6.19 | 0.01 | 0.05 | 5 Events / Month | 2 Events / Month | In about 5 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.52 | 0.51 | 1.92 |
|
Scientific Industries Hype Timeline
Scientific Industries is at this time traded for 0.52. The entity has historical hype elasticity of -0.01, and average elasticity to hype of competition of -0.05. Scientific is estimated to decline in value after the next headline, with the price expected to drop to 0.51. The average volatility of media hype impact on the company price is over 100%. The price decrease on the next news is expected to be -1.92%, whereas the daily expected return is at this time at -0.23%. The volatility of related hype on Scientific Industries is about 2754.54%, with the expected price after the next announcement by competition of 0.47. About 46.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 1.51. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Scientific Industries recorded a loss per share of 0.84. The entity last dividend was issued on the 27th of November 2018. Given the investment horizon of 90 days the next estimated press release will be in about 5 days. Check out Historical Fundamental Analysis of Scientific Industries to cross-verify your projections.Scientific Industries Related Hype Analysis
Having access to credible news sources related to Scientific Industries' direct competition is more important than ever and may enhance your ability to predict Scientific Industries' future price movements. Getting to know how Scientific Industries' 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 Scientific Industries may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| UCLE | US Nuclear Corp | 0.00 | 0 per month | 18.39 | 0.16 | 46.34 | (46.15) | 273.33 | |
| GWSO | Global Warming Solut | 0.00 | 0 per month | 16.71 | 0.09 | 47.62 | (30.00) | 141.15 | |
| VPIM | Vitality Prime | 0.00 | 0 per month | 0.00 | (0.09) | 0.00 | 0.00 | 40.59 | |
| ROBOF | RoboGroup TEK | 0.00 | 0 per month | 0.00 | (0.21) | 0.00 | 0.00 | 99.00 | |
| ZTSTF | ZTEST Electronics | (0.03) | 7 per month | 6.82 | 0.03 | 16.67 | (13.04) | 51.32 | |
| CYCA | Cytta Corp | (0.01) | 1 per month | 4.63 | 0.12 | 29.17 | (23.08) | 14,930 | |
| AAIRF | American Aires | 0.00 | 0 per month | 0.00 | (0.05) | 16.73 | (16.86) | 83.43 | |
| ELCO | Elcom International | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| LCTC | Lifeloc Technologies | (2.32) | 2 per month | 0.00 | (0.29) | 0.00 | (3.87) | 12.34 | |
| TKOI | Telkonet | 0.11 | 5 per month | 8.80 | 0.13 | 27.59 | (16.11) | 121.39 |
Other Forecasting Options for Scientific Industries
For every potential investor in Scientific, whether a beginner or expert, Scientific Industries' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Scientific OTC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Scientific. Basic forecasting techniques help filter out the noise by identifying Scientific Industries' price trends.Scientific Industries 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 Scientific Industries otc stock to make a market-neutral strategy. Peer analysis of Scientific Industries could also be used in its relative valuation, which is a method of valuing Scientific Industries by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Scientific Industries Market Strength Events
Market strength indicators help investors to evaluate how Scientific Industries otc stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Scientific Industries shares will generate the highest return on investment. By undertsting and applying Scientific Industries otc stock market strength indicators, traders can identify Scientific Industries entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 0.52 | |||
| Day Typical Price | 0.52 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | (0.01) |
Scientific Industries Risk Indicators
The analysis of Scientific Industries' 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 Scientific Industries' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting scientific otc stock 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 | 3.52 | |||
| Standard Deviation | 5.96 | |||
| Variance | 35.47 |
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 Scientific Industries
The number of cover stories for Scientific Industries depends on current market conditions and Scientific Industries' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Scientific Industries 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 Scientific Industries' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
Other Information on Investing in Scientific OTC Stock
Scientific Industries financial ratios help investors to determine whether Scientific OTC Stock 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 Scientific with respect to the benefits of owning Scientific Industries security.