TAC Consumer Stock Forecast - Triple Exponential Smoothing
| TACC Stock | THB 4.66 0.02 0.43% |
The Triple Exponential Smoothing forecasted value of TAC Consumer Public on the next trading day is expected to be 4.66 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.29. TAC Stock Forecast is based on your current time horizon.
TAC |
TAC Consumer Triple Exponential Smoothing Price Forecast For the 28th of November
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of TAC Consumer Public on the next trading day is expected to be 4.66 with a mean absolute deviation of 0.05, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.29.Please note that although there have been many attempts to predict TAC 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 TAC Consumer's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
TAC Consumer Stock Forecast Pattern
| Backtest TAC Consumer | TAC Consumer Price Prediction | Buy or Sell Advice |
TAC Consumer Forecasted Value
In the context of forecasting TAC Consumer'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. TAC Consumer's downside and upside margins for the forecasting period are 3.14 and 6.18, respectively. We have considered TAC Consumer'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 TAC Consumer stock data series using in forecasting. Note that when a statistical model is used to represent TAC Consumer 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 | 0.0036 |
| MAD | Mean absolute deviation | 0.0548 |
| MAPE | Mean absolute percentage error | 0.0111 |
| SAE | Sum of the absolute errors | 3.2865 |
Predictive Modules for TAC Consumer
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as TAC Consumer Public. 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.Other Forecasting Options for TAC Consumer
For every potential investor in TAC, whether a beginner or expert, TAC Consumer's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. TAC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in TAC. Basic forecasting techniques help filter out the noise by identifying TAC Consumer's price trends.TAC Consumer 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 TAC Consumer stock to make a market-neutral strategy. Peer analysis of TAC Consumer could also be used in its relative valuation, which is a method of valuing TAC Consumer by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
TAC Consumer Public 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 TAC Consumer'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 TAC Consumer's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
TAC Consumer Market Strength Events
Market strength indicators help investors to evaluate how TAC Consumer stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading TAC Consumer shares will generate the highest return on investment. By undertsting and applying TAC Consumer stock market strength indicators, traders can identify TAC Consumer Public entry and exit signals to maximize returns.
| Accumulation Distribution | 4789.8 | |||
| Daily Balance Of Power | 0.5 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 4.66 | |||
| Day Typical Price | 4.66 | |||
| Price Action Indicator | 0.01 | |||
| Period Momentum Indicator | 0.02 |
TAC Consumer Risk Indicators
The analysis of TAC Consumer'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 TAC Consumer's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting tac 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 | 1.09 | |||
| Standard Deviation | 1.5 | |||
| Variance | 2.25 |
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.
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TAC Consumer financial ratios help investors to determine whether TAC Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in TAC with respect to the benefits of owning TAC Consumer security.