SpectrumDNA Stock Forecast - Naive Prediction
| SPXA Stock | USD 0.01 0.00 0.00% |
SpectrumDNA Stock outlook is based on your current time horizon. Investors can use this forecasting interface to forecast SpectrumDNA stock prices and determine the direction of SpectrumDNA's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SpectrumDNA's historical fundamentals, such as revenue growth or operating cash flow patterns.
At this time the value of relative strength index of SpectrumDNA's share price is below 20 . This usually implies that the 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 |
Using SpectrumDNA hype-based prediction, you can estimate the value of SpectrumDNA from the perspective of SpectrumDNA response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of SpectrumDNA on the next trading day is expected to be 0.01 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. SpectrumDNA after-hype prediction price | USD 0.0098 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
SpectrumDNA | Build AI portfolio with SpectrumDNA Stock |
SpectrumDNA Additional Predictive Modules
Most predictive techniques to examine SpectrumDNA price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SpectrumDNA using various technical indicators. When you analyze SpectrumDNA 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 |
SpectrumDNA Cash Forecast
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the SpectrumDNA's financial statements to predict how it will affect future prices.
Cash | First Reported 2010-12-31 | Previous Quarter 176.3 K | Current Value 167.5 K | Quarterly Volatility 398 K |
SpectrumDNA Naive Prediction Price Forecast For the 28th of January
Given 90 days horizon, the Naive Prediction forecasted value of SpectrumDNA on the next trading day is expected to be 0.01 with a mean absolute deviation of 0, 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 SpectrumDNA 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 SpectrumDNA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SpectrumDNA Stock Forecast Pattern
| Backtest SpectrumDNA | SpectrumDNA Price Prediction | Buy or Sell Advice |
SpectrumDNA Forecasted Value
In the context of forecasting SpectrumDNA's 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. SpectrumDNA's downside and upside margins for the forecasting period are 0.01 and 0.01, respectively. We have considered SpectrumDNA'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 SpectrumDNA stock data series using in forecasting. Note that when a statistical model is used to represent SpectrumDNA 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 | 39.3621 |
| 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 SpectrumDNA
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SpectrumDNA. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SpectrumDNA'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.
SpectrumDNA After-Hype Price Density Analysis
As far as predicting the price of SpectrumDNA 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 SpectrumDNA 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 Stock prices, such as prices of SpectrumDNA, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
SpectrumDNA Estimiated After-Hype Price Volatility
In the context of predicting SpectrumDNA's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on SpectrumDNA's historical news coverage. SpectrumDNA's after-hype downside and upside margins for the prediction period are 0.01 and 0.01, respectively. We have considered SpectrumDNA'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
SpectrumDNA is very steady at this time. Analysis and calculation of next after-hype price of SpectrumDNA is based on 3 months time horizon.
SpectrumDNA Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as SpectrumDNA is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SpectrumDNA 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 Stock 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 SpectrumDNA, 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 | 1 Events / Month | 0 Events / Month | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.01 | 0.01 | 0.00 |
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SpectrumDNA Hype Timeline
SpectrumDNA is at this time traded for 0.01. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. SpectrumDNA is anticipated 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 anticipated to be very small, whereas the daily expected return is at this time at 0.0%. %. The volatility of related hype on SpectrumDNA is about 0.0%, with the expected price after the next announcement by competition of 0.01. The company recorded a loss per share of 0.04. SpectrumDNA had not issued any dividends in recent years. Given the investment horizon of 90 days the next anticipated press release will be very soon. Check out Historical Fundamental Analysis of SpectrumDNA to cross-verify your projections.SpectrumDNA Related Hype Analysis
Having access to credible news sources related to SpectrumDNA's direct competition is more important than ever and may enhance your ability to predict SpectrumDNA's future price movements. Getting to know how SpectrumDNA'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 SpectrumDNA may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| MDCE | Medical Care Technologies | 0.00 | 0 per month | 11.82 | 0.05 | 33.33 | (25.00) | 106.67 | |
| TMOL | Trimol Group | 0.00 | 2 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| HAON | Halitron | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| WHLT | Chase Packaging Corp | 0.00 | 0 per month | 0.00 | 0.15 | 27.31 | (5.32) | 370.83 | |
| CSOL | China Solar Cln | 0.00 | 0 per month | 10.34 | 0.16 | 31.12 | (11.76) | 120.03 | |
| VAYK | Vaycaychella | 0.00 | 0 per month | 8.21 | 0.01 | 20.00 | (16.67) | 48.70 | |
| GRLF | Green Leaf Innovations | 0.00 | 0 per month | 0.00 | 0.12 | 100.00 | (50.00) | 249,986 | |
| ATYG | Atlas Technology Grp | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| ILUS | Ilustrato Pictures | 0.00 | 0 per month | 12.70 | 0.01 | 33.33 | (33.33) | 100.00 |
Other Forecasting Options for SpectrumDNA
For every potential investor in SpectrumDNA, whether a beginner or expert, SpectrumDNA's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SpectrumDNA Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SpectrumDNA. Basic forecasting techniques help filter out the noise by identifying SpectrumDNA's price trends.SpectrumDNA 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 SpectrumDNA stock to make a market-neutral strategy. Peer analysis of SpectrumDNA could also be used in its relative valuation, which is a method of valuing SpectrumDNA by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SpectrumDNA Market Strength Events
Market strength indicators help investors to evaluate how SpectrumDNA stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SpectrumDNA shares will generate the highest return on investment. By undertsting and applying SpectrumDNA stock market strength indicators, traders can identify SpectrumDNA entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 0.0098 | |||
| Day Typical Price | 0.0098 |
Story Coverage note for SpectrumDNA
The number of cover stories for SpectrumDNA depends on current market conditions and SpectrumDNA's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that SpectrumDNA 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 SpectrumDNA'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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Check out Historical Fundamental Analysis of SpectrumDNA to cross-verify your projections. For information on how to trade SpectrumDNA Stock refer to our How to Trade SpectrumDNA Stock guide.You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
Is Software - Application space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of SpectrumDNA. If investors know SpectrumDNA will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about SpectrumDNA listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of SpectrumDNA is measured differently than its book value, which is the value of SpectrumDNA that is recorded on the company's balance sheet. Investors also form their own opinion of SpectrumDNA's value that differs from its market value or its book value, called intrinsic value, which is SpectrumDNA's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because SpectrumDNA's market value can be influenced by many factors that don't directly affect SpectrumDNA's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between SpectrumDNA's value and its price as these two are different measures arrived at by different means. Investors typically determine if SpectrumDNA is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SpectrumDNA's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.