Symphony Floating Fund Forward View - Triple Exponential Smoothing

Symphony Floating Additional Predictive Modules

Most predictive techniques to examine Symphony price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Symphony using various technical indicators. When you analyze Symphony 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. Triple exponential smoothing for Symphony Floating - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Symphony Floating prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Symphony Floating price movement. However, neither of these exponential smoothing models address any seasonality of Symphony Floating Rate.

Symphony Floating Triple Exponential Smoothing Price Forecast For the 21st of February

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Symphony Floating Rate on the next trading day is expected to be 6.53 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.001, and the sum of the absolute errors of 1.31.

Symphony Floating Fund Forecast Pattern

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 Symphony Floating fund data series using in forecasting. Note that when a statistical model is used to represent Symphony Floating 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. As with simple exponential smoothing, in triple exponential smoothing models past Symphony Floating observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Symphony Floating Rate observations.

Predictive Modules for Symphony Floating

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Symphony Floating Rate. 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.

Hype Prediction Low Estimated High 6.20 6.53 6.86 Details

Intrinsic Valuation Low Real High 5.91 6.24 6.57 Details

Bollinger Band Projection (param) Low Middle High 6.30 6.52 6.74 Details

Symphony Floating Estimiated After-Hype Price Volatility

Symphony Floating Fund Price Outlook Analysis

Notes

Symphony Floating Hype Timeline

Symphony Floating Rate is at this time traded for 6.53on Toronto Exchange of Canada. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Symphony is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.04%. %. The volatility of related hype on Symphony Floating is about 0.0%, with the expected price after the next announcement by competition of 6.53. The company had not issued any dividends in recent years. Assuming the 90 days trading horizon the next forecasted press release will be in about 5 days. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any fund could be closely tied with the direction of predictive economic indicators such as signals in population.

Symphony Floating Related Hype Analysis

Symphony Floating Related Equities

Risk & Return

Correlation

Symphony Floating Market Strength Events

Symphony Floating Risk Indicators

Story Coverage note for Symphony Floating

Other Macroaxis Stories

Other Information on Investing in Symphony Fund