Xiangpiaopiao Food Stock Forecast - Simple Moving Average
| 603711 Stock | 16.38 1.00 6.50% |
The Simple Moving Average forecasted value of Xiangpiaopiao Food Co on the next trading day is expected to be 16.38 with a mean absolute deviation of 0.58 and the sum of the absolute errors of 34.31. Xiangpiaopiao Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Xiangpiaopiao Food stock prices and determine the direction of Xiangpiaopiao Food Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Xiangpiaopiao Food's historical fundamentals, such as revenue growth or operating cash flow patterns.
Xiangpiaopiao |
Xiangpiaopiao Food Simple Moving Average Price Forecast For the 24th of December
Given 90 days horizon, the Simple Moving Average forecasted value of Xiangpiaopiao Food Co on the next trading day is expected to be 16.38 with a mean absolute deviation of 0.58, mean absolute percentage error of 0.58, and the sum of the absolute errors of 34.31.Please note that although there have been many attempts to predict Xiangpiaopiao 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 Xiangpiaopiao Food's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Xiangpiaopiao Food Stock Forecast Pattern
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Xiangpiaopiao Food Forecasted Value
In the context of forecasting Xiangpiaopiao Food'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. Xiangpiaopiao Food's downside and upside margins for the forecasting period are 11.84 and 20.92, respectively. We have considered Xiangpiaopiao Food'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 Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Xiangpiaopiao Food stock data series using in forecasting. Note that when a statistical model is used to represent Xiangpiaopiao Food 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 | 113.8863 |
| Bias | Arithmetic mean of the errors | -0.1415 |
| MAD | Mean absolute deviation | 0.5815 |
| MAPE | Mean absolute percentage error | 0.0404 |
| SAE | Sum of the absolute errors | 34.31 |
Predictive Modules for Xiangpiaopiao Food
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Xiangpiaopiao Food. 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 Xiangpiaopiao Food
For every potential investor in Xiangpiaopiao, whether a beginner or expert, Xiangpiaopiao Food's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Xiangpiaopiao Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Xiangpiaopiao. Basic forecasting techniques help filter out the noise by identifying Xiangpiaopiao Food's price trends.Xiangpiaopiao Food 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 Xiangpiaopiao Food stock to make a market-neutral strategy. Peer analysis of Xiangpiaopiao Food could also be used in its relative valuation, which is a method of valuing Xiangpiaopiao Food by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Xiangpiaopiao Food 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 Xiangpiaopiao Food'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 Xiangpiaopiao Food's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Xiangpiaopiao Food Market Strength Events
Market strength indicators help investors to evaluate how Xiangpiaopiao Food stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Xiangpiaopiao Food shares will generate the highest return on investment. By undertsting and applying Xiangpiaopiao Food stock market strength indicators, traders can identify Xiangpiaopiao Food Co entry and exit signals to maximize returns.
Xiangpiaopiao Food Risk Indicators
The analysis of Xiangpiaopiao Food'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 Xiangpiaopiao Food's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting xiangpiaopiao 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 | 3.44 | |||
| Semi Deviation | 3.31 | |||
| Standard Deviation | 4.41 | |||
| Variance | 19.43 | |||
| Downside Variance | 13.53 | |||
| Semi Variance | 10.98 | |||
| Expected Short fall | (4.37) |
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 Xiangpiaopiao Stock
Xiangpiaopiao Food financial ratios help investors to determine whether Xiangpiaopiao 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 Xiangpiaopiao with respect to the benefits of owning Xiangpiaopiao Food security.