Decision Diagnostics Stock Forward View - Simple Regression

DECN Stock  USD 0.0001  0.00  0.00%   
Decision Stock outlook is based on your current time horizon. Although Decision Diagnostics' naive historical forecasting may sometimes provide an important future outlook for the firm, we suggest always cross-verifying it against solid analysis of Decision Diagnostics' systematic risk associated with finding meaningful patterns of Decision Diagnostics fundamentals over time.
As of today the rsi of Decision Diagnostics' share price is below 20 suggesting 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
The successful prediction of Decision Diagnostics' future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Decision Diagnostics, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Decision Diagnostics' stock price prediction:
Quarterly Revenue Growth
(0)
Using Decision Diagnostics hype-based prediction, you can estimate the value of Decision Diagnostics from the perspective of Decision Diagnostics response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Decision Diagnostics on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.

Decision Diagnostics after-hype prediction price

    
  USD 1.0E-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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Decision Diagnostics to cross-verify your projections.
To learn how to invest in Decision Stock, please use our How to Invest in Decision Diagnostics guide.

Decision Diagnostics Additional Predictive Modules

Most predictive techniques to examine Decision price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Decision using various technical indicators. When you analyze Decision 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through Decision Diagnostics price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Decision Diagnostics Simple Regression Price Forecast For the 6th of February

Given 90 days horizon, the Simple Regression forecasted value of Decision Diagnostics on the next trading day is expected to be 0.0001 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 Decision Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Decision Diagnostics' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Decision Diagnostics Stock Forecast Pattern

Backtest Decision Diagnostics  Decision Diagnostics Price Prediction  Research Analysis  

Decision Diagnostics Forecasted Value

In the context of forecasting Decision Diagnostics' 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. Decision Diagnostics' downside and upside margins for the forecasting period are 0.0001 and 0.0001, respectively. We have considered Decision Diagnostics' 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.
Market Value
0.0001
0.0001
Downside
0.0001
Expected Value
0.0001
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Decision Diagnostics stock data series using in forecasting. Note that when a statistical model is used to represent Decision Diagnostics 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.
AICAkaike Information Criteria30.3989
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Decision Diagnostics historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Decision Diagnostics

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Decision Diagnostics. 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 Decision Diagnostics' 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.
Hype
Prediction
LowEstimatedHigh
0.000.00010.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.0000840.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
0.00010.00010.0001
Details

Decision Diagnostics After-Hype Price Density Analysis

As far as predicting the price of Decision Diagnostics 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 Decision Diagnostics 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 Decision Diagnostics, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Decision Diagnostics Estimiated After-Hype Price Volatility

In the context of predicting Decision Diagnostics' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Decision Diagnostics' historical news coverage. Decision Diagnostics' after-hype downside and upside margins for the prediction period are 0.00 and 0.00, respectively. We have considered Decision Diagnostics' 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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
0.0001
0.0001
After-hype Price
0.00
Upside
Decision Diagnostics is very steady at this time. Analysis and calculation of next after-hype price of Decision Diagnostics is based on 3 months time horizon.

Decision Diagnostics Stock Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Decision Diagnostics is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Decision Diagnostics 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 Decision Diagnostics, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
 0.00  
0.00
 0.00  
 0.00  
6 Events / Month
1 Events / Month
In about 6 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
0.0001
0.0001
0.00 
0.00  
Notes

Decision Diagnostics Hype Timeline

Decision Diagnostics is currently traded for 0.0001. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Decision is forecasted 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 forecasted to be very small, whereas the daily expected return is currently at 0.0%. %. The volatility of related hype on Decision Diagnostics is about 0.0%, with the expected price after the next announcement by competition of 0.00. The company recorded a loss per share of 0.02. Decision Diagnostics had not issued any dividends in recent years. The entity had 1.1:1 split on the 28th of December 2011. Given the investment horizon of 90 days the next forecasted press release will be in about 6 days.
Check out Historical Fundamental Analysis of Decision Diagnostics to cross-verify your projections.
To learn how to invest in Decision Stock, please use our How to Invest in Decision Diagnostics guide.

Decision Diagnostics Related Hype Analysis

Having access to credible news sources related to Decision Diagnostics' direct competition is more important than ever and may enhance your ability to predict Decision Diagnostics' future price movements. Getting to know how Decision Diagnostics' 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 Decision Diagnostics may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
ROTHPharmaroth Labs 0.00 4 per month 0.00  0.00  0.00  0.00  0.00 
AMBSAmarantus Bioscience Holdings 0.00 0 per month 0.00 (0.13) 0.00  0.00  66.67 
PRMDPrimemd 0.00 0 per month 0.00  0.12  0.00  0.00  66.67 
ITMCItoco Inc 0.00 0 per month 0.00  0.06  0.00  0.00  150.00 
IBXGiBX Group 0.00 2 per month 0.00  0.00  0.00  0.00  0.00 
WIBFFWest Island Brands 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
SXHHFSonomax Technologies 0.00 3 per month 0.00  0.00  0.00  0.00  0.00 
LGNDLigand Pharmaceuticals Incorporated(0.17)11 per month 1.97  0.02  3.51 (2.76) 18.09 
RGDXQResponse Genetics 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
AXMPAXM Pharma 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 

Other Forecasting Options for Decision Diagnostics

For every potential investor in Decision, whether a beginner or expert, Decision Diagnostics' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Decision Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Decision. Basic forecasting techniques help filter out the noise by identifying Decision Diagnostics' price trends.

Decision Diagnostics 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 Decision Diagnostics stock to make a market-neutral strategy. Peer analysis of Decision Diagnostics could also be used in its relative valuation, which is a method of valuing Decision Diagnostics by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Decision Diagnostics Market Strength Events

Market strength indicators help investors to evaluate how Decision Diagnostics stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Decision Diagnostics shares will generate the highest return on investment. By undertsting and applying Decision Diagnostics stock market strength indicators, traders can identify Decision Diagnostics entry and exit signals to maximize returns.

Story Coverage note for Decision Diagnostics

The number of cover stories for Decision Diagnostics depends on current market conditions and Decision Diagnostics' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Decision Diagnostics 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 Decision Diagnostics' 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
When determining whether Decision Diagnostics offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Decision Diagnostics' 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 Decision Diagnostics Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Decision Diagnostics Stock:
Check out Historical Fundamental Analysis of Decision Diagnostics to cross-verify your projections.
To learn how to invest in Decision Stock, please use our How to Invest in Decision Diagnostics guide.
You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
Will Health Care Technology sector continue expanding? Could Decision diversify its offerings? Factors like these will boost the valuation of Decision Diagnostics. Projected growth potential of Decision fundamentally drives upward valuation adjustments. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Decision Diagnostics data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Earnings Share
(0.02)
Revenue Per Share
0.006
Quarterly Revenue Growth
(0)
Return On Assets
(0.21)
Return On Equity
(81.61)
Understanding Decision Diagnostics requires distinguishing between market price and book value, where the latter reflects Decision's accounting equity. The concept of intrinsic value - what Decision Diagnostics' is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Market sentiment, economic cycles, and investor behavior can push Decision Diagnostics' price substantially above or below its fundamental value.
It's important to distinguish between Decision Diagnostics' intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Decision Diagnostics should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. In contrast, Decision Diagnostics' trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.