SpectrumDNA Stock Forecast - Naive Prediction
| SPXA Stock | USD 0.01 0.00 0.00% |
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 Stock Forecast 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.
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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 12th of January 2026
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.
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 Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of SpectrumDNA's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of SpectrumDNA's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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 |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether SpectrumDNA offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SpectrumDNA's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Spectrumdna Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Spectrumdna Stock: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 Bonds Directory module to find actively traded corporate debentures issued by US companies.
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.