Schimatic Cash Stock Forecast - Naive Prediction

SCTN Stock  USD 0.0001  0.00  0.00%   
The Naive Prediction forecasted value of Schimatic Cash Transactions 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. Schimatic Stock Forecast is based on your current time horizon. Although Schimatic Cash's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Schimatic Cash's systematic risk associated with finding meaningful patterns of Schimatic Cash fundamentals over time.
  
As of the 22nd of November 2024, Cash is likely to grow to about 15.4 K, while Total Assets are likely to drop about 16.9 K.

Schimatic Cash Cash Forecast

Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the Schimatic Cash's financial statements to estimate their effects on upcoming price movements.
 
Cash  
First Reported
2010-12-31
Previous Quarter
8.1 K
Current Value
15.4 K
Quarterly Volatility
8.7 K
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Schimatic Cash is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Schimatic Cash Transactions 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.

Schimatic Cash Naive Prediction Price Forecast For the 23rd of November

Given 90 days horizon, the Naive Prediction forecasted value of Schimatic Cash Transactions 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 Schimatic 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 Schimatic Cash's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Schimatic Cash Stock Forecast Pattern

Backtest Schimatic CashSchimatic Cash Price PredictionBuy or Sell Advice 

Schimatic Cash Forecasted Value

In the context of forecasting Schimatic Cash'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. Schimatic Cash's downside and upside margins for the forecasting period are 0.0001 and 0.0001, respectively. We have considered Schimatic Cash'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
0.0001
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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Schimatic Cash stock data series using in forecasting. Note that when a statistical model is used to represent Schimatic Cash 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 Criteria30.385
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 Schimatic Cash Transactions. 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 Schimatic Cash. 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 Schimatic Cash

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Schimatic Cash Trans. 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 Schimatic Cash'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.
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

Other Forecasting Options for Schimatic Cash

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

View Schimatic Cash Related Equities

 Risk & Return  Correlation

Schimatic Cash Trans 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 Schimatic Cash'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 Schimatic Cash's current price.

Schimatic Cash Market Strength Events

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

Pair Trading with Schimatic Cash

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Schimatic Cash position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Schimatic Cash will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Schimatic Cash could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Schimatic Cash when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Schimatic Cash - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Schimatic Cash Transactions to buy it.
The correlation of Schimatic Cash is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Schimatic Cash moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Schimatic Cash Trans moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Schimatic Cash can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether Schimatic Cash Trans offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Schimatic Cash'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 Schimatic Cash Transactions Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Schimatic Cash Transactions Stock:
Check out Historical Fundamental Analysis of Schimatic Cash to cross-verify your projections.
You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
Is Application Software 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 Schimatic Cash. If investors know Schimatic 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 Schimatic Cash listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(0.02)
Revenue Per Share
0.001
Return On Assets
(20.46)
The market value of Schimatic Cash Trans is measured differently than its book value, which is the value of Schimatic that is recorded on the company's balance sheet. Investors also form their own opinion of Schimatic Cash's value that differs from its market value or its book value, called intrinsic value, which is Schimatic Cash'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 Schimatic Cash's market value can be influenced by many factors that don't directly affect Schimatic Cash'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 Schimatic Cash's value and its price as these two are different measures arrived at by different means. Investors typically determine if Schimatic Cash is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Schimatic Cash'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.