Nordic Unmanned Stock Forecast - Polynomial Regression

NUMND Stock  NOK 0.67  0.04  6.35%   
The Polynomial Regression forecasted value of Nordic Unmanned As on the next trading day is expected to be -0.43 with a mean absolute deviation of 0.73 and the sum of the absolute errors of 44.34. Nordic Stock Forecast is based on your current time horizon.
  
Nordic Unmanned polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Nordic Unmanned As as well as the accuracy indicators are determined from the period prices.

Nordic Unmanned Polynomial Regression Price Forecast For the 24th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Nordic Unmanned As on the next trading day is expected to be -0.43 with a mean absolute deviation of 0.73, mean absolute percentage error of 0.78, and the sum of the absolute errors of 44.34.
Please note that although there have been many attempts to predict Nordic 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 Nordic Unmanned's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Nordic Unmanned Stock Forecast Pattern

Backtest Nordic UnmannedNordic Unmanned Price PredictionBuy or Sell Advice 

Nordic Unmanned Forecasted Value

In the context of forecasting Nordic Unmanned'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. Nordic Unmanned's downside and upside margins for the forecasting period are 0.01 and 15.13, respectively. We have considered Nordic Unmanned'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
0.67
-0.43
Expected Value
15.13
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 Nordic Unmanned stock data series using in forecasting. Note that when a statistical model is used to represent Nordic Unmanned 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 Criteria117.8623
BiasArithmetic mean of the errors None
MADMean absolute deviation0.7269
MAPEMean absolute percentage error0.3759
SAESum of the absolute errors44.3411
A single variable polynomial regression model attempts to put a curve through the Nordic Unmanned 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 Nordic Unmanned

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Nordic Unmanned As. 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 Nordic Unmanned'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
0.030.6716.23
Details
Intrinsic
Valuation
LowRealHigh
0.030.6416.20
Details

Other Forecasting Options for Nordic Unmanned

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

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

Nordic Unmanned As 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 Nordic Unmanned'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 Nordic Unmanned's current price.

Nordic Unmanned Market Strength Events

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

Nordic Unmanned Risk Indicators

The analysis of Nordic Unmanned'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 Nordic Unmanned's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting nordic 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 Nordic Stock

Nordic Unmanned financial ratios help investors to determine whether Nordic 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 Nordic with respect to the benefits of owning Nordic Unmanned security.