Synchrony Swiss Fund Forecast - Double Exponential Smoothing
0P0000KA0A | 122.68 0.00 0.00% |
Synchrony |
Synchrony Swiss Double Exponential Smoothing Price Forecast For the 30th of December
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Synchrony Swiss Real on the next trading day is expected to be 122.64 with a mean absolute deviation of 0.43, mean absolute percentage error of 0.32, and the sum of the absolute errors of 25.22.Please note that although there have been many attempts to predict Synchrony Fund 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 Synchrony Swiss' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Synchrony Swiss Fund Forecast Pattern
Synchrony Swiss Forecasted Value
In the context of forecasting Synchrony Swiss' Fund 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. Synchrony Swiss' downside and upside margins for the forecasting period are 122.17 and 123.11, respectively. We have considered Synchrony Swiss' 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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Synchrony Swiss fund data series using in forecasting. Note that when a statistical model is used to represent Synchrony Swiss fund, 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 | -0.0966 |
MAD | Mean absolute deviation | 0.4275 |
MAPE | Mean absolute percentage error | 0.0036 |
SAE | Sum of the absolute errors | 25.22 |
Predictive Modules for Synchrony Swiss
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Synchrony Swiss Real. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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 Synchrony Swiss
For every potential investor in Synchrony, whether a beginner or expert, Synchrony Swiss' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Synchrony Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Synchrony. Basic forecasting techniques help filter out the noise by identifying Synchrony Swiss' price trends.Synchrony Swiss 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 Synchrony Swiss fund to make a market-neutral strategy. Peer analysis of Synchrony Swiss could also be used in its relative valuation, which is a method of valuing Synchrony Swiss by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Synchrony Swiss Real Technical and Predictive Analytics
The fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Synchrony Swiss' 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 Synchrony Swiss' current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Synchrony Swiss Market Strength Events
Market strength indicators help investors to evaluate how Synchrony Swiss fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Synchrony Swiss shares will generate the highest return on investment. By undertsting and applying Synchrony Swiss fund market strength indicators, traders can identify Synchrony Swiss Real entry and exit signals to maximize returns.
Rate Of Daily Change | 1.0 | |||
Day Median Price | 122.68 | |||
Day Typical Price | 122.68 |
Synchrony Swiss Risk Indicators
The analysis of Synchrony Swiss' 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 Synchrony Swiss' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting synchrony fund 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 | 0.3703 | |||
Semi Deviation | 0.2617 | |||
Standard Deviation | 0.4773 | |||
Variance | 0.2278 | |||
Downside Variance | 0.1967 | |||
Semi Variance | 0.0685 | |||
Expected Short fall | (0.42) |
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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