A1TM34 Stock Forecast - Triple Exponential Smoothing
| A1TM34 Stock | 425.88 2.33 0.55% |
A1TM34 |
A1TM34 Triple Exponential Smoothing Price Forecast For the 24th of December
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of A1TM34 on the next trading day is expected to be 426.59 with a mean absolute deviation of 1.91, mean absolute percentage error of 13.69, and the sum of the absolute errors of 112.80.Please note that although there have been many attempts to predict A1TM34 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 A1TM34's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
A1TM34 Stock Forecast Pattern
A1TM34 Forecasted Value
In the context of forecasting A1TM34'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. A1TM34's downside and upside margins for the forecasting period are 425.65 and 427.54, respectively. We have considered A1TM34'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of A1TM34 stock data series using in forecasting. Note that when a statistical model is used to represent A1TM34 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 | -0.5128 |
| MAD | Mean absolute deviation | 1.9119 |
| MAPE | Mean absolute percentage error | 0.0047 |
| SAE | Sum of the absolute errors | 112.8029 |
Predictive Modules for A1TM34
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as A1TM34. 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.Please note, it is not enough to conduct a financial or market analysis of a single entity such as A1TM34. Your research has to be compared to or analyzed against A1TM34's peers to derive any actionable benefits. When done correctly, A1TM34's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in A1TM34.Other Forecasting Options for A1TM34
For every potential investor in A1TM34, whether a beginner or expert, A1TM34's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. A1TM34 Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in A1TM34. Basic forecasting techniques help filter out the noise by identifying A1TM34's price trends.A1TM34 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 A1TM34 stock to make a market-neutral strategy. Peer analysis of A1TM34 could also be used in its relative valuation, which is a method of valuing A1TM34 by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
A1TM34 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 A1TM34'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 A1TM34's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
A1TM34 Market Strength Events
Market strength indicators help investors to evaluate how A1TM34 stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading A1TM34 shares will generate the highest return on investment. By undertsting and applying A1TM34 stock market strength indicators, traders can identify A1TM34 entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 425.88 | |||
| Day Typical Price | 425.88 | |||
| Price Action Indicator | 1.16 | |||
| Period Momentum Indicator | 2.33 | |||
| Relative Strength Index | 85.99 |
A1TM34 Risk Indicators
The analysis of A1TM34'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 A1TM34's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting a1tm34 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 | 0.443 | |||
| Standard Deviation | 0.9244 | |||
| Variance | 0.8546 |
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.