Scisparc Stock Forecast - Double Exponential Smoothing

SPRC Stock  USD 0.21  0.01  4.55%   
The Double Exponential Smoothing forecasted value of Scisparc on the next trading day is expected to be 0.21 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.63. Scisparc Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Scisparc stock prices and determine the direction of Scisparc's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Scisparc's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At present, Scisparc's Receivables Turnover is projected to slightly decrease based on the last few years of reporting. The current year's Fixed Asset Turnover is expected to grow to 27.99, whereas Inventory Turnover is forecasted to decline to 0.87. . As of November 29, 2024, Common Stock Shares Outstanding is expected to decline to about 387.6 K. In addition to that, Net Loss is expected to decline to about (3.1 M).
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Scisparc works best with periods where there are trends or seasonality.

Scisparc Double Exponential Smoothing Price Forecast For the 30th of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Scisparc on the next trading day is expected to be 0.21 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0002, and the sum of the absolute errors of 0.63.
Please note that although there have been many attempts to predict Scisparc 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 Scisparc's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Scisparc Stock Forecast Pattern

Backtest ScisparcScisparc Price PredictionBuy or Sell Advice 

Scisparc Forecasted Value

In the context of forecasting Scisparc'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. Scisparc's downside and upside margins for the forecasting period are 0 and 6.15, respectively. We have considered Scisparc'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
0.21
0.21
Expected Value
6.15
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Scisparc stock data series using in forecasting. Note that when a statistical model is used to represent Scisparc 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 CriteriaHuge
BiasArithmetic mean of the errors -0.002
MADMean absolute deviation0.0107
MAPEMean absolute percentage error0.0426
SAESum of the absolute errors0.6307
When Scisparc prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Scisparc trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Scisparc observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Scisparc

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Scisparc. 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
0.010.226.18
Details
Intrinsic
Valuation
LowRealHigh
0.010.216.17
Details

Other Forecasting Options for Scisparc

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

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

Scisparc 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 Scisparc'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 Scisparc's current price.

Scisparc Market Strength Events

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

Scisparc Risk Indicators

The analysis of Scisparc'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 Scisparc's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting scisparc 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.
When determining whether Scisparc offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Scisparc'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 Scisparc Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Scisparc Stock:
Check out Historical Fundamental Analysis of Scisparc to cross-verify your projections.
For information on how to trade Scisparc Stock refer to our How to Trade Scisparc Stock guide.
You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Is Biotechnology 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 Scisparc. If investors know Scisparc 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 Scisparc listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(5.28)
Revenue Per Share
1.357
Quarterly Revenue Growth
(0.57)
Return On Assets
(0.39)
Return On Equity
(0.86)
The market value of Scisparc is measured differently than its book value, which is the value of Scisparc that is recorded on the company's balance sheet. Investors also form their own opinion of Scisparc's value that differs from its market value or its book value, called intrinsic value, which is Scisparc'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 Scisparc's market value can be influenced by many factors that don't directly affect Scisparc'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 Scisparc's value and its price as these two are different measures arrived at by different means. Investors typically determine if Scisparc is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Scisparc'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.