Duesenberg Technologies OTC Stock Forecast - Polynomial Regression

DUSYF Stock  USD 0.0001  0.00  0.00%   
The Polynomial Regression forecasted value of Duesenberg Technologies 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. Duesenberg OTC Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Duesenberg Technologies' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Duesenberg Technologies polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Duesenberg Technologies as well as the accuracy indicators are determined from the period prices.

Duesenberg Technologies Polynomial Regression Price Forecast For the 23rd of November

Given 90 days horizon, the Polynomial Regression forecasted value of Duesenberg Technologies 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 Duesenberg OTC 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 Duesenberg Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Duesenberg Technologies OTC Stock Forecast Pattern

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Duesenberg Technologies Forecasted Value

In the context of forecasting Duesenberg Technologies' OTC 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. Duesenberg Technologies' downside and upside margins for the forecasting period are 0.0001 and 0.0001, respectively. We have considered Duesenberg Technologies' 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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Duesenberg Technologies otc stock data series using in forecasting. Note that when a statistical model is used to represent Duesenberg Technologies otc 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 Criteria34.379
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
A single variable polynomial regression model attempts to put a curve through the Duesenberg Technologies 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 Duesenberg Technologies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Duesenberg Technologies. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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 Duesenberg Technologies' 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 Duesenberg Technologies

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

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 Risk & Return  Correlation

Duesenberg Technologies Technical and Predictive Analytics

The otc stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Duesenberg Technologies' 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 Duesenberg Technologies' current price.

Duesenberg Technologies Market Strength Events

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

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Other Information on Investing in Duesenberg OTC Stock

Duesenberg Technologies financial ratios help investors to determine whether Duesenberg OTC 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 Duesenberg with respect to the benefits of owning Duesenberg Technologies security.