San Shing Stock Forecast - 8 Period Moving Average

5007 Stock  TWD 54.40  0.10  0.18%   
The 8 Period Moving Average forecasted value of San Shing Fastech on the next trading day is expected to be 54.61 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 17.90. San Stock Forecast is based on your current time horizon.
  
An 8-period moving average forecast model for San Shing is based on an artificially constructed time series of San Shing daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

San Shing 8 Period Moving Average Price Forecast For the 16th of December 2024

Given 90 days horizon, the 8 Period Moving Average forecasted value of San Shing Fastech on the next trading day is expected to be 54.61 with a mean absolute deviation of 0.34, mean absolute percentage error of 0.20, and the sum of the absolute errors of 17.90.
Please note that although there have been many attempts to predict San 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 San Shing's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

San Shing Stock Forecast Pattern

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San Shing Forecasted Value

In the context of forecasting San Shing'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. San Shing's downside and upside margins for the forecasting period are 54.07 and 55.16, respectively. We have considered San Shing'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
54.40
54.61
Expected Value
55.16
Upside

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 San Shing stock data series using in forecasting. Note that when a statistical model is used to represent San Shing 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 Criteria101.7801
BiasArithmetic mean of the errors 0.2198
MADMean absolute deviation0.3377
MAPEMean absolute percentage error0.0061
SAESum of the absolute errors17.9
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. San Shing Fastech 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for San Shing

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as San Shing Fastech. 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
53.8654.4054.94
Details
Intrinsic
Valuation
LowRealHigh
48.9655.0755.61
Details
Bollinger
Band Projection (param)
LowMiddleHigh
54.1455.1856.22
Details

Other Forecasting Options for San Shing

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

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

San Shing Fastech 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 San Shing'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 San Shing's current price.

San Shing Market Strength Events

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

San Shing Risk Indicators

The analysis of San Shing'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 San Shing's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting san 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.

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 San Stock Analysis

When running San Shing's price analysis, check to measure San Shing's 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 San Shing is operating at the current time. Most of San Shing's value examination focuses on studying past and present price action to predict the probability of San Shing's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move San Shing's price. Additionally, you may evaluate how the addition of San Shing to your portfolios can decrease your overall portfolio volatility.