Sinkang Industries Stock Forecast - 8 Period Moving Average
2032 Stock | TWD 14.90 0.10 0.68% |
The 8 Period Moving Average forecasted value of Sinkang Industries Co on the next trading day is expected to be 15.02 with a mean absolute deviation of 0.46 and the sum of the absolute errors of 24.42. Sinkang Stock Forecast is based on your current time horizon.
Sinkang |
Sinkang Industries 8 Period Moving Average Price Forecast For the 3rd of December
Given 90 days horizon, the 8 Period Moving Average forecasted value of Sinkang Industries Co on the next trading day is expected to be 15.02 with a mean absolute deviation of 0.46, mean absolute percentage error of 0.39, and the sum of the absolute errors of 24.42.Please note that although there have been many attempts to predict Sinkang 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 Sinkang Industries' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Sinkang Industries Stock Forecast Pattern
Backtest Sinkang Industries | Sinkang Industries Price Prediction | Buy or Sell Advice |
Sinkang Industries Forecasted Value
In the context of forecasting Sinkang Industries' 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. Sinkang Industries' downside and upside margins for the forecasting period are 13.11 and 16.93, respectively. We have considered Sinkang Industries' 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 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Sinkang Industries stock data series using in forecasting. Note that when a statistical model is used to represent Sinkang Industries 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 | 102.4757 |
Bias | Arithmetic mean of the errors | -0.0728 |
MAD | Mean absolute deviation | 0.4607 |
MAPE | Mean absolute percentage error | 0.029 |
SAE | Sum of the absolute errors | 24.4188 |
Predictive Modules for Sinkang Industries
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sinkang Industries. 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 Sinkang Industries
For every potential investor in Sinkang, whether a beginner or expert, Sinkang Industries' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Sinkang Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Sinkang. Basic forecasting techniques help filter out the noise by identifying Sinkang Industries' price trends.Sinkang Industries 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 Sinkang Industries stock to make a market-neutral strategy. Peer analysis of Sinkang Industries could also be used in its relative valuation, which is a method of valuing Sinkang Industries by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Sinkang Industries 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 Sinkang Industries' 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 Sinkang Industries' current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Sinkang Industries Market Strength Events
Market strength indicators help investors to evaluate how Sinkang Industries stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Sinkang Industries shares will generate the highest return on investment. By undertsting and applying Sinkang Industries stock market strength indicators, traders can identify Sinkang Industries Co entry and exit signals to maximize returns.
Sinkang Industries Risk Indicators
The analysis of Sinkang Industries' 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 Sinkang Industries' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sinkang 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 | 1.18 | |||
Standard Deviation | 1.88 | |||
Variance | 3.52 |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Sinkang Stock Analysis
When running Sinkang Industries' price analysis, check to measure Sinkang Industries' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Sinkang Industries is operating at the current time. Most of Sinkang Industries' value examination focuses on studying past and present price action to predict the probability of Sinkang Industries' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sinkang Industries' price. Additionally, you may evaluate how the addition of Sinkang Industries to your portfolios can decrease your overall portfolio volatility.