Thai Airways Pink Sheet Forecast - 8 Period Moving Average
| TAWNF Stock | USD 0.01 0.0005 5.56% |
The 8 Period Moving Average forecasted value of Thai Airways International on the next trading day is expected to be 0.01 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.11. Thai Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Thai Airways stock prices and determine the direction of Thai Airways International's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Thai Airways' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Thai Airways to cross-verify your projections. Thai |
Most investors in Thai Airways cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Thai Airways' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Thai Airways' price structures and extracts relationships that further increase the generated results' accuracy.
An 8-period moving average forecast model for Thai Airways is based on an artificially constructed time series of Thai Airways 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. Thai Airways 8 Period Moving Average Price Forecast For the 26th of April
Given 90 days horizon, the 8 Period Moving Average forecasted value of Thai Airways International on the next trading day is expected to be 0.01 with a mean absolute deviation of 0, mean absolute percentage error of 0.000011, and the sum of the absolute errors of 0.11.Please note that although there have been many attempts to predict Thai Pink Sheet 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 Thai Airways' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Thai Airways Pink Sheet Forecast Pattern
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Thai Airways Forecasted Value
In the context of forecasting Thai Airways' Pink Sheet 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. Thai Airways' downside and upside margins for the forecasting period are 0.000085 and 29.10, respectively. We have considered Thai Airways' 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 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Thai Airways pink sheet data series using in forecasting. Note that when a statistical model is used to represent Thai Airways pink sheet, 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 | 93.8261 |
| Bias | Arithmetic mean of the errors | -2.0E-4 |
| MAD | Mean absolute deviation | 0.0021 |
| MAPE | Mean absolute percentage error | 0.1736 |
| SAE | Sum of the absolute errors | 0.1108 |
Predictive Modules for Thai Airways
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Thai Airways Interna. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Thai Airways' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for Thai Airways
For every potential investor in Thai, whether a beginner or expert, Thai Airways' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Thai Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Thai. Basic forecasting techniques help filter out the noise by identifying Thai Airways' price trends.Thai Airways 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 Thai Airways pink sheet to make a market-neutral strategy. Peer analysis of Thai Airways could also be used in its relative valuation, which is a method of valuing Thai Airways by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Thai Airways Interna Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Thai Airways' 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 Thai Airways' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Thai Airways Market Strength Events
Market strength indicators help investors to evaluate how Thai Airways pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Thai Airways shares will generate the highest return on investment. By undertsting and applying Thai Airways pink sheet market strength indicators, traders can identify Thai Airways International entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.94 | |||
| Day Median Price | 0.0085 | |||
| Day Typical Price | 0.0085 | |||
| Price Action Indicator | (0.0003) | |||
| Period Momentum Indicator | (0.0005) | |||
| Relative Strength Index | 46.61 |
Thai Airways Risk Indicators
The analysis of Thai Airways' 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 Thai Airways' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting thai pink sheet 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 | 14.39 | |||
| Semi Deviation | 14.15 | |||
| Standard Deviation | 28.19 | |||
| Variance | 794.65 | |||
| Downside Variance | 691.1 | |||
| Semi Variance | 200.25 | |||
| Expected Short fall | (27.77) |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Thai Airways in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Thai Airways' short interest history, or implied volatility extrapolated from Thai Airways options trading.
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Check out Historical Fundamental Analysis of Thai Airways to cross-verify your projections. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Complementary Tools for Thai Pink Sheet analysis
When running Thai Airways' price analysis, check to measure Thai Airways' 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 Thai Airways is operating at the current time. Most of Thai Airways' value examination focuses on studying past and present price action to predict the probability of Thai Airways' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Thai Airways' price. Additionally, you may evaluate how the addition of Thai Airways to your portfolios can decrease your overall portfolio volatility.
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