Asia Metal Stock Forecast - 8 Period Moving Average

6727 Stock   83.40  2.60  3.02%   
The 8 Period Moving Average forecasted value of Asia Metal Industries on the next trading day is expected to be 85.53 with a mean absolute deviation of 3.04 and the sum of the absolute errors of 160.89. Asia Stock Forecast is based on your current time horizon.
  
An 8-period moving average forecast model for Asia Metal is based on an artificially constructed time series of Asia Metal 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.

Asia Metal 8 Period Moving Average Price Forecast For the 27th of December

Given 90 days horizon, the 8 Period Moving Average forecasted value of Asia Metal Industries on the next trading day is expected to be 85.53 with a mean absolute deviation of 3.04, mean absolute percentage error of 14.32, and the sum of the absolute errors of 160.89.
Please note that although there have been many attempts to predict Asia 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 Asia Metal's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Asia Metal Stock Forecast Pattern

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Asia Metal Forecasted Value

In the context of forecasting Asia Metal'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. Asia Metal's downside and upside margins for the forecasting period are 82.87 and 88.18, respectively. We have considered Asia Metal'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
83.40
85.53
Expected Value
88.18
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 Asia Metal stock data series using in forecasting. Note that when a statistical model is used to represent Asia Metal 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 Criteria106.0694
BiasArithmetic mean of the errors -0.6243
MADMean absolute deviation3.0356
MAPEMean absolute percentage error0.036
SAESum of the absolute errors160.8875
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. Asia Metal Industries 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Asia Metal

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Asia Metal 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.
Hype
Prediction
LowEstimatedHigh
83.3586.0088.65
Details
Intrinsic
Valuation
LowRealHigh
68.4871.1394.60
Details
Bollinger
Band Projection (param)
LowMiddleHigh
64.0785.37106.66
Details

Other Forecasting Options for Asia Metal

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

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

Asia Metal 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 Asia Metal'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 Asia Metal's current price.

Asia Metal Market Strength Events

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

Asia Metal Risk Indicators

The analysis of Asia Metal'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 Asia Metal's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting asia 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.

Pair Trading with Asia Metal

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Asia Metal position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Asia Metal will appreciate offsetting losses from the drop in the long position's value.

Moving against Asia Stock

  0.462467 C Sun ManufacturingPairCorr
  0.416706 FittechPairCorr
  0.316208 Highlight Tech SplitPairCorr
The ability to find closely correlated positions to Asia Metal could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Asia Metal when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Asia Metal - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Asia Metal Industries to buy it.
The correlation of Asia Metal is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Asia Metal moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Asia Metal Industries moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Asia Metal can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for Asia Stock Analysis

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