Uni Travel Stock Forecast - Simple Exponential Smoothing
| 6961 Stock | 71.50 1.50 2.05% |
Momentum 0
Sell Peaked
Oversold | Overbought |
Using Uni Travel hype-based prediction, you can estimate the value of Uni Travel Services from the perspective of Uni Travel response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Uni Travel Services on the next trading day is expected to be 71.50 with a mean absolute deviation of 0.55 and the sum of the absolute errors of 33.80. Uni Travel after-hype prediction price | TWD 71.5 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Uni |
Uni Travel Additional Predictive Modules
Most predictive techniques to examine Uni price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Uni using various technical indicators. When you analyze Uni charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Uni Travel Simple Exponential Smoothing Price Forecast For the 22nd of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Uni Travel Services on the next trading day is expected to be 71.50 with a mean absolute deviation of 0.55, mean absolute percentage error of 0.56, and the sum of the absolute errors of 33.80.Please note that although there have been many attempts to predict Uni 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 Uni Travel's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Uni Travel Stock Forecast Pattern
Uni Travel Forecasted Value
In the context of forecasting Uni Travel'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. Uni Travel's downside and upside margins for the forecasting period are 70.50 and 72.50, respectively. We have considered Uni Travel'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 Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Uni Travel stock data series using in forecasting. Note that when a statistical model is used to represent Uni Travel 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 | 117.533 |
| Bias | Arithmetic mean of the errors | 0.082 |
| MAD | Mean absolute deviation | 0.5541 |
| MAPE | Mean absolute percentage error | 0.0073 |
| SAE | Sum of the absolute errors | 33.8 |
Predictive Modules for Uni Travel
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Uni Travel Services. 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 Uni Travel
For every potential investor in Uni, whether a beginner or expert, Uni Travel's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Uni Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Uni. Basic forecasting techniques help filter out the noise by identifying Uni Travel's price trends.Uni Travel 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 Uni Travel stock to make a market-neutral strategy. Peer analysis of Uni Travel could also be used in its relative valuation, which is a method of valuing Uni Travel by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Uni Travel Services 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 Uni Travel'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 Uni Travel's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Uni Travel Market Strength Events
Market strength indicators help investors to evaluate how Uni Travel stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Uni Travel shares will generate the highest return on investment. By undertsting and applying Uni Travel stock market strength indicators, traders can identify Uni Travel Services entry and exit signals to maximize returns.
| Accumulation Distribution | 837.75 | |||
| Daily Balance Of Power | (1.07) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 72.0 | |||
| Day Typical Price | 71.83 | |||
| Price Action Indicator | (1.25) | |||
| Period Momentum Indicator | (1.50) |
Uni Travel Risk Indicators
The analysis of Uni Travel'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 Uni Travel's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting uni 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 | 0.7337 | |||
| Standard Deviation | 1.01 | |||
| Variance | 1.02 |
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.
Pair Trading with Uni Travel
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Uni Travel position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Uni Travel will appreciate offsetting losses from the drop in the long position's value.Moving against Uni Stock
| 0.87 | 6640 | Gallant Micro Machining | PairCorr |
| 0.82 | 2330 | Taiwan Semiconductor | PairCorr |
| 0.77 | 5864 | Concord International | PairCorr |
| 0.73 | 2303 | United Microelectronics Earnings Call This Week | PairCorr |
| 0.72 | 3455 | Utechzone | PairCorr |
The ability to find closely correlated positions to Uni Travel could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Uni Travel when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Uni Travel - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Uni Travel Services to buy it.
The correlation of Uni Travel is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Uni Travel moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Uni Travel Services moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Uni Travel can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Uni Stock Analysis
When running Uni Travel's price analysis, check to measure Uni Travel'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 Uni Travel is operating at the current time. Most of Uni Travel's value examination focuses on studying past and present price action to predict the probability of Uni Travel's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Uni Travel's price. Additionally, you may evaluate how the addition of Uni Travel to your portfolios can decrease your overall portfolio volatility.