Nano Dimension Stock Forecast - Polynomial Regression
| 2N5B Stock | EUR 2.32 0.00 0.00% |
The Polynomial Regression forecasted value of Nano Dimension on the next trading day is expected to be 2.44 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.27. Nano Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Nano Dimension's historical fundamentals, such as revenue growth or operating cash flow patterns.
Nano |
Nano Dimension Polynomial Regression Price Forecast For the 28th of December
Given 90 days horizon, the Polynomial Regression forecasted value of Nano Dimension on the next trading day is expected to be 2.44 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 3.27.Please note that although there have been many attempts to predict Nano 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 Nano Dimension's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Nano Dimension Stock Forecast Pattern
| Backtest Nano Dimension | Nano Dimension Price Prediction | Buy or Sell Advice |
Nano Dimension Forecasted Value
In the context of forecasting Nano Dimension'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. Nano Dimension's downside and upside margins for the forecasting period are 0.02 and 5.89, respectively. We have considered Nano Dimension'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.
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 Nano Dimension stock data series using in forecasting. Note that when a statistical model is used to represent Nano Dimension 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.| AIC | Akaike Information Criteria | 112.7569 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0536 |
| MAPE | Mean absolute percentage error | 0.0252 |
| SAE | Sum of the absolute errors | 3.2725 |
Predictive Modules for Nano Dimension
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Nano Dimension. 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.Other Forecasting Options for Nano Dimension
For every potential investor in Nano, whether a beginner or expert, Nano Dimension's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Nano Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Nano. Basic forecasting techniques help filter out the noise by identifying Nano Dimension's price trends.Nano Dimension 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 Nano Dimension stock to make a market-neutral strategy. Peer analysis of Nano Dimension could also be used in its relative valuation, which is a method of valuing Nano Dimension by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Nano Dimension 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 Nano Dimension'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 Nano Dimension's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Nano Dimension Market Strength Events
Market strength indicators help investors to evaluate how Nano Dimension stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Nano Dimension shares will generate the highest return on investment. By undertsting and applying Nano Dimension stock market strength indicators, traders can identify Nano Dimension entry and exit signals to maximize returns.
Nano Dimension Risk Indicators
The analysis of Nano Dimension'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 Nano Dimension's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting nano 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.
| Mean Deviation | 2.62 | |||
| Semi Deviation | 2.47 | |||
| Standard Deviation | 3.8 | |||
| Variance | 14.42 | |||
| Downside Variance | 8.42 | |||
| Semi Variance | 6.11 | |||
| Expected Short fall | (3.51) |
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.
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Nano Stock
When determining whether Nano Dimension is a strong investment it is important to analyze Nano Dimension's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Nano Dimension's future performance. For an informed investment choice regarding Nano Stock, refer to the following important reports:Check out Historical Fundamental Analysis of Nano Dimension to cross-verify your projections. For more detail on how to invest in Nano Stock please use our How to Invest in Nano Dimension guide.You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.