Alpha Networks Stock Forecast - Double Exponential Smoothing
| 3380 Stock | TWD 34.75 0.00 0.00% |
The Double Exponential Smoothing forecasted value of Alpha Networks on the next trading day is expected to be 34.75 with a mean absolute deviation of 0.67 and the sum of the absolute errors of 39.70. Alpha Stock Forecast is based on your current time horizon.
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Alpha Networks Double Exponential Smoothing Price Forecast For the 1st of February
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Alpha Networks on the next trading day is expected to be 34.75 with a mean absolute deviation of 0.67, mean absolute percentage error of 0.72, and the sum of the absolute errors of 39.70.Please note that although there have been many attempts to predict Alpha 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 Alpha Networks' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Alpha Networks Stock Forecast Pattern
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Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Alpha Networks stock data series using in forecasting. Note that when a statistical model is used to represent Alpha Networks 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 | Huge |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.6729 |
| MAPE | Mean absolute percentage error | 0.0191 |
| SAE | Sum of the absolute errors | 39.7 |
Predictive Modules for Alpha Networks
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Alpha Networks. 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.Alpha Networks 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 Alpha Networks stock to make a market-neutral strategy. Peer analysis of Alpha Networks could also be used in its relative valuation, which is a method of valuing Alpha Networks by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Alpha Networks Market Strength Events
Market strength indicators help investors to evaluate how Alpha Networks stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Alpha Networks shares will generate the highest return on investment. By undertsting and applying Alpha Networks stock market strength indicators, traders can identify Alpha Networks entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0115 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 34.6 | |||
| Day Typical Price | 34.65 | |||
| Market Facilitation Index | 0.4 | |||
| Price Action Indicator | 0.15 |
Alpha Networks Risk Indicators
The analysis of Alpha Networks' 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 Alpha Networks' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting alpha 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 | 1.79 | |||
| Standard Deviation | 2.3 | |||
| Variance | 5.31 |
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 Alpha Stock Analysis
When running Alpha Networks' price analysis, check to measure Alpha Networks' 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 Alpha Networks is operating at the current time. Most of Alpha Networks' value examination focuses on studying past and present price action to predict the probability of Alpha Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alpha Networks' price. Additionally, you may evaluate how the addition of Alpha Networks to your portfolios can decrease your overall portfolio volatility.