Liaoning Dingjide Stock Forecast - Polynomial Regression
603255 Stock | 30.98 0.92 2.88% |
The Polynomial Regression forecasted value of Liaoning Dingjide Petrochemical on the next trading day is expected to be 32.43 with a mean absolute deviation of 0.82 and the sum of the absolute errors of 50.00. Liaoning Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Liaoning Dingjide stock prices and determine the direction of Liaoning Dingjide Petrochemical's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Liaoning Dingjide's historical fundamentals, such as revenue growth or operating cash flow patterns.
Liaoning |
Liaoning Dingjide Polynomial Regression Price Forecast For the 24th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Liaoning Dingjide Petrochemical on the next trading day is expected to be 32.43 with a mean absolute deviation of 0.82, mean absolute percentage error of 1.36, and the sum of the absolute errors of 50.00.Please note that although there have been many attempts to predict Liaoning 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 Liaoning Dingjide's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Liaoning Dingjide Stock Forecast Pattern
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Liaoning Dingjide Forecasted Value
In the context of forecasting Liaoning Dingjide'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. Liaoning Dingjide's downside and upside margins for the forecasting period are 29.44 and 35.43, respectively. We have considered Liaoning Dingjide'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 Liaoning Dingjide stock data series using in forecasting. Note that when a statistical model is used to represent Liaoning Dingjide 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 | 118.4177 |
Bias | Arithmetic mean of the errors | None |
MAD | Mean absolute deviation | 0.8196 |
MAPE | Mean absolute percentage error | 0.0289 |
SAE | Sum of the absolute errors | 49.9981 |
Predictive Modules for Liaoning Dingjide
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Liaoning Dingjide. 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 Liaoning Dingjide
For every potential investor in Liaoning, whether a beginner or expert, Liaoning Dingjide's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Liaoning Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Liaoning. Basic forecasting techniques help filter out the noise by identifying Liaoning Dingjide's price trends.Liaoning Dingjide 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 Liaoning Dingjide stock to make a market-neutral strategy. Peer analysis of Liaoning Dingjide could also be used in its relative valuation, which is a method of valuing Liaoning Dingjide by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Liaoning Dingjide 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 Liaoning Dingjide'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 Liaoning Dingjide's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Liaoning Dingjide Market Strength Events
Market strength indicators help investors to evaluate how Liaoning Dingjide stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Liaoning Dingjide shares will generate the highest return on investment. By undertsting and applying Liaoning Dingjide stock market strength indicators, traders can identify Liaoning Dingjide Petrochemical entry and exit signals to maximize returns.
Liaoning Dingjide Risk Indicators
The analysis of Liaoning Dingjide'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 Liaoning Dingjide's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting liaoning 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 | 1.86 | |||
Semi Deviation | 2.22 | |||
Standard Deviation | 2.86 | |||
Variance | 8.17 | |||
Downside Variance | 7.2 | |||
Semi Variance | 4.93 | |||
Expected Short fall | (2.03) |
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 Liaoning Stock
Liaoning Dingjide financial ratios help investors to determine whether Liaoning 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 Liaoning with respect to the benefits of owning Liaoning Dingjide security.