Silynxcom Stock Forecast - 4 Period Moving Average

SYNX Stock   2.65  0.04  1.49%   
The 4 Period Moving Average forecasted value of Silynxcom on the next trading day is expected to be 2.67 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.09. Silynxcom Stock Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Silynxcom is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Silynxcom 4 Period Moving Average Price Forecast For the 27th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Silynxcom on the next trading day is expected to be 2.67 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.09.
Please note that although there have been many attempts to predict Silynxcom 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 Silynxcom's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Silynxcom Stock Forecast Pattern

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Silynxcom Forecasted Value

In the context of forecasting Silynxcom'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. Silynxcom's downside and upside margins for the forecasting period are 0.03 and 6.23, respectively. We have considered Silynxcom'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
2.65
2.67
Expected Value
6.23
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Silynxcom stock data series using in forecasting. Note that when a statistical model is used to represent Silynxcom 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 Criteria106.0366
BiasArithmetic mean of the errors 0.018
MADMean absolute deviation0.0717
MAPEMean absolute percentage error0.0243
SAESum of the absolute errors4.085
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Silynxcom. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Silynxcom and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Silynxcom

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Silynxcom. 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
0.132.646.22
Details
Intrinsic
Valuation
LowRealHigh
0.122.355.93
Details

Other Forecasting Options for Silynxcom

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

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

Silynxcom 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 Silynxcom'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 Silynxcom's current price.

Silynxcom Market Strength Events

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

Silynxcom Risk Indicators

The analysis of Silynxcom'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 Silynxcom's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting silynxcom 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 Silynxcom Stock Analysis

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