Nice Information Stock Forecast - Polynomial Regression
| 036800 Stock | KRW 18,280 50.00 0.27% |
The Polynomial Regression forecasted value of Nice Information Telecommunication on the next trading day is expected to be 18,001 with a mean absolute deviation of 112.27 and the sum of the absolute errors of 6,960. Nice Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Nice Information stock prices and determine the direction of Nice Information Telecommunication's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Nice Information's historical fundamentals, such as revenue growth or operating cash flow patterns.
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Nice Information Polynomial Regression Price Forecast For the 30th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Nice Information Telecommunication on the next trading day is expected to be 18,001 with a mean absolute deviation of 112.27, mean absolute percentage error of 20,967, and the sum of the absolute errors of 6,960.Please note that although there have been many attempts to predict Nice 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 Nice Information's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Nice Information Stock Forecast Pattern
| Backtest Nice Information | Nice Information Price Prediction | Buy or Sell Advice |
Nice Information Forecasted Value
In the context of forecasting Nice Information'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. Nice Information's downside and upside margins for the forecasting period are 18,001 and 18,002, respectively. We have considered Nice Information'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 Nice Information stock data series using in forecasting. Note that when a statistical model is used to represent Nice Information 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 | 129.8991 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 112.266 |
| MAPE | Mean absolute percentage error | 0.006 |
| SAE | Sum of the absolute errors | 6960.4949 |
Predictive Modules for Nice Information
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Nice Information Tel. 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 Nice Information
For every potential investor in Nice, whether a beginner or expert, Nice Information's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Nice Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Nice. Basic forecasting techniques help filter out the noise by identifying Nice Information's price trends.Nice Information 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 Nice Information stock to make a market-neutral strategy. Peer analysis of Nice Information could also be used in its relative valuation, which is a method of valuing Nice Information by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Nice Information Tel 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 Nice Information'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 Nice Information's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Nice Information Market Strength Events
Market strength indicators help investors to evaluate how Nice Information stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Nice Information shares will generate the highest return on investment. By undertsting and applying Nice Information stock market strength indicators, traders can identify Nice Information Telecommunication entry and exit signals to maximize returns.
| Accumulation Distribution | 58.43 | |||
| Daily Balance Of Power | (0.15) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 18170.0 | |||
| Day Typical Price | 18206.67 | |||
| Market Facilitation Index | 0.11 | |||
| Price Action Indicator | 85.0 | |||
| Period Momentum Indicator | (50.00) |
Nice Information Risk Indicators
The analysis of Nice Information'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 Nice Information's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting nice 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 | 0.4096 | |||
| Standard Deviation | 0.5415 | |||
| Variance | 0.2932 |
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.
Other Information on Investing in Nice Stock
Nice Information financial ratios help investors to determine whether Nice 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 Nice with respect to the benefits of owning Nice Information security.