Spectrascience New Stock Forecast - Naive Prediction

SCIEDelisted Stock  USD 1.42  0.00  0.00%   
The Naive Prediction forecasted value of Spectrascience New on the next trading day is expected to be 1.79 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 9.36. 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 the present time the value of rsi of Spectrascience New'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
The successful prediction of Spectrascience New's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Spectrascience New and does not consider all of the tangible or intangible factors available from Spectrascience New's fundamental data. We analyze noise-free headlines and recent hype associated with Spectrascience New, which may create opportunities for some arbitrage if properly timed.
Using Spectrascience New hype-based prediction, you can estimate the value of Spectrascience New from the perspective of Spectrascience New response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Spectrascience New on the next trading day is expected to be 1.79 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 9.36.

Spectrascience New after-hype prediction price

    
  USD 1.42  
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 delisted stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.

Spectrascience New Additional Predictive Modules

Most predictive techniques to examine Spectrascience price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Spectrascience using various technical indicators. When you analyze Spectrascience 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.
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 16th of January 2026

Given 90 days horizon, the Naive Prediction forecasted value of Spectrascience New on the next trading day is expected to be 1.79 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.05, and the sum of the absolute errors of 9.36.
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 

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 Criteria115.1429
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1535
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors9.3606
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
0.231.422.61
Details
Intrinsic
Valuation
LowRealHigh
0.050.922.11
Details

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 Market Strength Events

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

Spectrascience New Risk Indicators

The analysis of Spectrascience New's 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 Spectrascience New's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting spectrascience 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.
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.

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.
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.
You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.

Other Consideration for investing in Spectrascience Stock

If you are still planning to invest in Spectrascience New check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Spectrascience New's history and understand the potential risks before investing.
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