Shigan Quantum Stock Forecast - Polynomial Regression

SHIGAN-SM   75.60  7.90  11.67%   
The Polynomial Regression forecasted value of Shigan Quantum Tech on the next trading day is expected to be 67.69 with a mean absolute deviation of 2.94 and the sum of the absolute errors of 179.48. Shigan Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Shigan Quantum stock prices and determine the direction of Shigan Quantum Tech's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Shigan Quantum's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Shigan Quantum polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Shigan Quantum Tech as well as the accuracy indicators are determined from the period prices.

Shigan Quantum Polynomial Regression Price Forecast For the 6th of April

Given 90 days horizon, the Polynomial Regression forecasted value of Shigan Quantum Tech on the next trading day is expected to be 67.69 with a mean absolute deviation of 2.94, mean absolute percentage error of 15.51, and the sum of the absolute errors of 179.48.
Please note that although there have been many attempts to predict Shigan 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 Shigan Quantum's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Shigan Quantum Stock Forecast Pattern

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 Shigan Quantum stock data series using in forecasting. Note that when a statistical model is used to represent Shigan Quantum 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 Criteria120.8517
BiasArithmetic mean of the errors None
MADMean absolute deviation2.9423
MAPEMean absolute percentage error0.0315
SAESum of the absolute errors179.4798
A single variable polynomial regression model attempts to put a curve through the Shigan Quantum 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 Shigan Quantum

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Shigan Quantum Tech. 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
75.6075.6075.60
Details
Intrinsic
Valuation
LowRealHigh
68.0484.1684.16
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Shigan Quantum. Your research has to be compared to or analyzed against Shigan Quantum's peers to derive any actionable benefits. When done correctly, Shigan Quantum'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 Shigan Quantum Tech.

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

Shigan Quantum Market Strength Events

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

Other Information on Investing in Shigan Stock

Shigan Quantum financial ratios help investors to determine whether Shigan 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 Shigan with respect to the benefits of owning Shigan Quantum security.