SEVEN+I HLDGS Stock Forecast - Polynomial Regression

S6MA Stock  EUR 12.40  0.00  0.00%   
The Polynomial Regression forecasted value of SEVENI HLDGS UNSPADR12 on the next trading day is expected to be 12.59 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 7.46. SEVEN+I Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of SEVEN+I HLDGS's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
SEVEN+I HLDGS polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for SEVENI HLDGS UNSPADR12 as well as the accuracy indicators are determined from the period prices.

SEVEN+I HLDGS Polynomial Regression Price Forecast For the 23rd of December

Given 90 days horizon, the Polynomial Regression forecasted value of SEVENI HLDGS UNSPADR12 on the next trading day is expected to be 12.59 with a mean absolute deviation of 0.12, mean absolute percentage error of 0.03, and the sum of the absolute errors of 7.46.
Please note that although there have been many attempts to predict SEVEN+I 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 SEVEN+I HLDGS's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SEVEN+I HLDGS Stock Forecast Pattern

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SEVEN+I HLDGS Forecasted Value

In the context of forecasting SEVEN+I HLDGS'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. SEVEN+I HLDGS's downside and upside margins for the forecasting period are 11.08 and 14.10, respectively. We have considered SEVEN+I HLDGS'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
12.40
12.59
Expected Value
14.10
Upside

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 SEVEN+I HLDGS stock data series using in forecasting. Note that when a statistical model is used to represent SEVEN+I HLDGS 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 Criteria114.7453
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1223
MAPEMean absolute percentage error0.0097
SAESum of the absolute errors7.4609
A single variable polynomial regression model attempts to put a curve through the SEVEN+I HLDGS 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 SEVEN+I HLDGS

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SEVENI HLDGS UNSPADR12. 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
10.8912.4013.91
Details
Intrinsic
Valuation
LowRealHigh
11.1112.6214.13
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SEVEN+I HLDGS. Your research has to be compared to or analyzed against SEVEN+I HLDGS's peers to derive any actionable benefits. When done correctly, SEVEN+I HLDGS's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in SEVENI HLDGS UNSPADR12.

Other Forecasting Options for SEVEN+I HLDGS

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

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

SEVENI HLDGS UNSPADR12 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 SEVEN+I HLDGS'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 SEVEN+I HLDGS's current price.

SEVEN+I HLDGS Market Strength Events

Market strength indicators help investors to evaluate how SEVEN+I HLDGS stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SEVEN+I HLDGS shares will generate the highest return on investment. By undertsting and applying SEVEN+I HLDGS stock market strength indicators, traders can identify SEVENI HLDGS UNSPADR12 entry and exit signals to maximize returns.

SEVEN+I HLDGS Risk Indicators

The analysis of SEVEN+I HLDGS'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 SEVEN+I HLDGS's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting seven+i 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.

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Other Information on Investing in SEVEN+I Stock

SEVEN+I HLDGS financial ratios help investors to determine whether SEVEN+I Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in SEVEN+I with respect to the benefits of owning SEVEN+I HLDGS security.