Suzhou UIGreen Stock Forecast - Triple Exponential Smoothing

688661 Stock   37.41  0.38  1.01%   
The Triple Exponential Smoothing forecasted value of Suzhou UIGreen Micro on the next trading day is expected to be 37.63 with a mean absolute deviation of 1.26 and the sum of the absolute errors of 75.58. Suzhou Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Suzhou UIGreen stock prices and determine the direction of Suzhou UIGreen Micro's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Suzhou UIGreen's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At present, Suzhou UIGreen's Cash is projected to increase significantly based on the last few years of reporting. The current year's Non Current Liabilities Total is expected to grow to about 18.6 M, whereas Total Assets are forecasted to decline to about 836.1 M.
Triple exponential smoothing for Suzhou UIGreen - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Suzhou UIGreen prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Suzhou UIGreen price movement. However, neither of these exponential smoothing models address any seasonality of Suzhou UIGreen Micro.

Suzhou UIGreen Triple Exponential Smoothing Price Forecast For the 13th of December 2024

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Suzhou UIGreen Micro on the next trading day is expected to be 37.63 with a mean absolute deviation of 1.26, mean absolute percentage error of 2.96, and the sum of the absolute errors of 75.58.
Please note that although there have been many attempts to predict Suzhou 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 Suzhou UIGreen's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Suzhou UIGreen Stock Forecast Pattern

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Suzhou UIGreen Forecasted Value

In the context of forecasting Suzhou UIGreen'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. Suzhou UIGreen's downside and upside margins for the forecasting period are 32.07 and 43.19, respectively. We have considered Suzhou UIGreen'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
37.41
37.63
Expected Value
43.19
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Suzhou UIGreen stock data series using in forecasting. Note that when a statistical model is used to represent Suzhou UIGreen 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 CriteriaHuge
BiasArithmetic mean of the errors -0.0417
MADMean absolute deviation1.2597
MAPEMean absolute percentage error0.0372
SAESum of the absolute errors75.58
As with simple exponential smoothing, in triple exponential smoothing models past Suzhou UIGreen observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Suzhou UIGreen Micro observations.

Predictive Modules for Suzhou UIGreen

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Suzhou UIGreen Micro. 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.
Hype
Prediction
LowEstimatedHigh
31.8537.4142.97
Details
Intrinsic
Valuation
LowRealHigh
23.2828.8441.15
Details
Bollinger
Band Projection (param)
LowMiddleHigh
31.8835.3838.87
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Suzhou UIGreen. Your research has to be compared to or analyzed against Suzhou UIGreen's peers to derive any actionable benefits. When done correctly, Suzhou UIGreen's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Suzhou UIGreen Micro.

Other Forecasting Options for Suzhou UIGreen

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

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

Suzhou UIGreen Micro 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 Suzhou UIGreen'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 Suzhou UIGreen's current price.

Suzhou UIGreen Market Strength Events

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

Suzhou UIGreen Risk Indicators

The analysis of Suzhou UIGreen'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 Suzhou UIGreen's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting suzhou 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.

Currently Active Assets on Macroaxis

Other Information on Investing in Suzhou Stock

Suzhou UIGreen financial ratios help investors to determine whether Suzhou 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 Suzhou with respect to the benefits of owning Suzhou UIGreen security.