SCCB Stock Forecast - Polynomial Regression

SCCBDelisted Stock  USD 24.98  0.01  0.04%   
The Polynomial Regression forecasted value of SCCB on the next trading day is expected to be 24.94 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.83. SCCB Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SCCB stock prices and determine the direction of SCCB's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SCCB's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
SCCB polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for SCCB as well as the accuracy indicators are determined from the period prices.

SCCB Polynomial Regression Price Forecast For the 2nd of January

Given 90 days horizon, the Polynomial Regression forecasted value of SCCB on the next trading day is expected to be 24.94 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.83.
Please note that although there have been many attempts to predict SCCB 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 SCCB's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SCCB Stock Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of SCCB stock data series using in forecasting. Note that when a statistical model is used to represent SCCB 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 Criteria111.5003
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0299
MAPEMean absolute percentage error0.0012
SAESum of the absolute errors1.8256
A single variable polynomial regression model attempts to put a curve through the SCCB historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for SCCB

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SCCB. 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 SCCB'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
24.9824.9824.98
Details
Intrinsic
Valuation
LowRealHigh
21.1321.1327.48
Details
Bollinger
Band Projection (param)
LowMiddleHigh
24.9624.9825.00
Details

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

SCCB Market Strength Events

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

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 main economic indicators.
You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.

Other Consideration for investing in SCCB Stock

If you are still planning to invest in SCCB 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 SCCB's history and understand the potential risks before investing.
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