Sequoia Fund Mutual Fund Forecast - Triple Exponential Smoothing

SEQUX Fund  USD 189.97  1.20  0.64%   
The Triple Exponential Smoothing forecasted value of Sequoia Fund Inc on the next trading day is expected to be 189.92 with a mean absolute deviation of 1.40 and the sum of the absolute errors of 82.66. Sequoia Mutual Fund Forecast is based on your current time horizon.
  
Triple exponential smoothing for Sequoia Fund - 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 Sequoia Fund 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 Sequoia Fund price movement. However, neither of these exponential smoothing models address any seasonality of Sequoia Fund.

Sequoia Fund Triple Exponential Smoothing Price Forecast For the 3rd of December

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Sequoia Fund Inc on the next trading day is expected to be 189.92 with a mean absolute deviation of 1.40, mean absolute percentage error of 3.93, and the sum of the absolute errors of 82.66.
Please note that although there have been many attempts to predict Sequoia Mutual 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 Sequoia Fund's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sequoia Fund Mutual Fund Forecast Pattern

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Sequoia Fund Forecasted Value

In the context of forecasting Sequoia Fund's Mutual 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. Sequoia Fund's downside and upside margins for the forecasting period are 188.93 and 190.91, respectively. We have considered Sequoia Fund'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.
Market Value
189.97
188.93
Downside
189.92
Expected Value
190.91
Upside

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 Sequoia Fund mutual fund data series using in forecasting. Note that when a statistical model is used to represent Sequoia Fund mutual 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.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors 0.3229
MADMean absolute deviation1.4011
MAPEMean absolute percentage error0.0073
SAESum of the absolute errors82.6637
As with simple exponential smoothing, in triple exponential smoothing models past Sequoia Fund 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 Sequoia Fund Inc observations.

Predictive Modules for Sequoia Fund

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sequoia Fund. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sequoia Fund's 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.
Hype
Prediction
LowEstimatedHigh
188.98189.97190.96
Details
Intrinsic
Valuation
LowRealHigh
182.51183.50208.97
Details
Bollinger
Band Projection (param)
LowMiddleHigh
184.16192.73201.29
Details

Other Forecasting Options for Sequoia Fund

For every potential investor in Sequoia, whether a beginner or expert, Sequoia Fund's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Sequoia Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Sequoia. Basic forecasting techniques help filter out the noise by identifying Sequoia Fund's price trends.

Sequoia Fund 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 Sequoia Fund mutual fund to make a market-neutral strategy. Peer analysis of Sequoia Fund could also be used in its relative valuation, which is a method of valuing Sequoia Fund by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Sequoia Fund Technical and Predictive Analytics

The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Sequoia Fund'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 Sequoia Fund's current price.

Sequoia Fund Market Strength Events

Market strength indicators help investors to evaluate how Sequoia Fund mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Sequoia Fund shares will generate the highest return on investment. By undertsting and applying Sequoia Fund mutual fund market strength indicators, traders can identify Sequoia Fund Inc entry and exit signals to maximize returns.

Sequoia Fund Risk Indicators

The analysis of Sequoia Fund'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 Sequoia Fund's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sequoia mutual 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.
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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Information on Investing in Sequoia Mutual Fund

Sequoia Fund financial ratios help investors to determine whether Sequoia Mutual Fund 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 Sequoia with respect to the benefits of owning Sequoia Fund security.
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