Spectrascience New Stock Forecast - Naive Prediction

The Naive Prediction forecasted value of Spectrascience New on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Spectrascience Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Spectrascience New stock prices and determine the direction of Spectrascience New's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Spectrascience New's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At present, Spectrascience New's Payables Turnover is projected to slightly decrease based on the last few years of reporting. The current year's Receivables Turnover is expected to grow to 5.12, whereas Asset Turnover is forecasted to decline to 0. . As of December 1, 2024, Net Loss is expected to decline to about (4.2 M).

Spectrascience New Cash Forecast

Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Spectrascience New's financial statements to predict how it will affect future prices.
 
Cash  
First Reported
2009-03-31
Previous Quarter
25
Current Value
27.9 K
Quarterly Volatility
1.3 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Spectrascience New is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Spectrascience New value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Spectrascience New Naive Prediction Price Forecast For the 2nd of December

Given 90 days horizon, the Naive Prediction forecasted value of Spectrascience New on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict Spectrascience 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 Spectrascience New's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Spectrascience New Stock Forecast Pattern

Backtest Spectrascience NewSpectrascience New Price PredictionBuy or Sell Advice 

Spectrascience New Forecasted Value

In the context of forecasting Spectrascience New'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. Spectrascience New's downside and upside margins for the forecasting period are 0.00 and 0.00, respectively. We have considered Spectrascience New'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.
Market Value
0.00
0.00
Expected Value
0.00
Upside

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 Spectrascience New stock data series using in forecasting. Note that when a statistical model is used to represent Spectrascience New 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 Criteria-9.223372036854776E14
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
This model is not at all useful as a medium-long range forecasting tool of Spectrascience New. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Spectrascience New. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Spectrascience New

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Spectrascience New. 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.
Hype
Prediction
LowEstimatedHigh
0.000.000.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.000.00
Details

Other Forecasting Options for Spectrascience New

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

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

Spectrascience New 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 Spectrascience New'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 Spectrascience New's current price.

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 Spectrascience New is a strong investment it is important to analyze Spectrascience New's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Spectrascience New's future performance. For an informed investment choice regarding Spectrascience Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Spectrascience New to cross-verify your projections.
For information on how to trade Spectrascience Stock refer to our How to Trade Spectrascience Stock guide.
You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
Is Health Care Equipment & Supplies 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 Spectrascience New. If investors know Spectrascience 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 Spectrascience New listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(0.01)
Return On Assets
(0.92)
The market value of Spectrascience New is measured differently than its book value, which is the value of Spectrascience that is recorded on the company's balance sheet. Investors also form their own opinion of Spectrascience New's value that differs from its market value or its book value, called intrinsic value, which is Spectrascience New'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 Spectrascience New's market value can be influenced by many factors that don't directly affect Spectrascience New'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 Spectrascience New's value and its price as these two are different measures arrived at by different means. Investors typically determine if Spectrascience New is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Spectrascience New'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.