Super League Stock Forecast - Polynomial Regression

SLGGDelisted Stock  USD 0.35  0.00  0.00%   
The Polynomial Regression forecasted value of Super League Gaming on the next trading day is expected to be 0.36 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.75. Super Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Super League's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Super League polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Super League Gaming as well as the accuracy indicators are determined from the period prices.

Super League Polynomial Regression Price Forecast For the 3rd of December

Given 90 days horizon, the Polynomial Regression forecasted value of Super League Gaming on the next trading day is expected to be 0.36 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.75.
Please note that although there have been many attempts to predict Super 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 Super League's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Super League 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 Super League stock data series using in forecasting. Note that when a statistical model is used to represent Super League 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 Criteria111.5576
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0287
MAPEMean absolute percentage error0.0552
SAESum of the absolute errors1.753
A single variable polynomial regression model attempts to put a curve through the Super League 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 Super League

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Super League Gaming. 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
0.350.350.35
Details
Intrinsic
Valuation
LowRealHigh
0.330.330.39
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Super League. Your research has to be compared to or analyzed against Super League's peers to derive any actionable benefits. When done correctly, Super League'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 Super League Gaming.

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 Risk & Return  Correlation

Super League Market Strength Events

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

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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 various price indices.
You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.

Other Consideration for investing in Super Stock

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