Solar Applied Stock Forecast - 8 Period Moving Average

1785 Stock  TWD 60.50  0.50  0.83%   
The 8 Period Moving Average forecasted value of Solar Applied Materials on the next trading day is expected to be 60.38 with a mean absolute deviation of 2.30 and the sum of the absolute errors of 122.09. Solar Stock Forecast is based on your current time horizon.
  
An 8-period moving average forecast model for Solar Applied is based on an artificially constructed time series of Solar Applied 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.

Solar Applied 8 Period Moving Average Price Forecast For the 23rd of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of Solar Applied Materials on the next trading day is expected to be 60.38 with a mean absolute deviation of 2.30, mean absolute percentage error of 8.51, and the sum of the absolute errors of 122.09.
Please note that although there have been many attempts to predict Solar 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 Solar Applied's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Solar Applied Stock Forecast Pattern

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Solar Applied Forecasted Value

In the context of forecasting Solar Applied'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. Solar Applied's downside and upside margins for the forecasting period are 57.78 and 62.97, respectively. We have considered Solar Applied'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
60.50
60.38
Expected Value
62.97
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 Solar Applied stock data series using in forecasting. Note that when a statistical model is used to represent Solar Applied 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 Criteria105.5492
BiasArithmetic mean of the errors 0.2554
MADMean absolute deviation2.3035
MAPEMean absolute percentage error0.036
SAESum of the absolute errors122.0875
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. Solar Applied Materials 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Solar Applied

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Solar Applied Materials. 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
57.9060.5063.10
Details
Intrinsic
Valuation
LowRealHigh
46.4149.0166.55
Details
Bollinger
Band Projection (param)
LowMiddleHigh
58.3863.2068.02
Details

Other Forecasting Options for Solar Applied

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

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

Solar Applied Materials 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 Solar Applied'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 Solar Applied's current price.

Solar Applied Market Strength Events

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

Solar Applied Risk Indicators

The analysis of Solar Applied'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 Solar Applied's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting solar 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 Solar Applied

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 Solar Applied 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 Solar Applied will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Solar Applied could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Solar Applied 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 Solar Applied - 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 Solar Applied Materials to buy it.
The correlation of Solar Applied 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 Solar Applied moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Solar Applied Materials 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 Solar Applied 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 Solar Stock Analysis

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