IVY SCIENCE Mutual Fund Forward View - Simple Exponential Smoothing

WSTCX Fund  USD 80.26  -0.34  -0.42%   
Ivy Science And's Simple Exponential Smoothing reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use. The model is fitted to available historical daily prices for IVY SCIENCE. This page is updated as new daily closing prices become available for IVY SCIENCE.
The Simple Exponential Smoothing forecasted value of Ivy Science And on the next trading day is expected to be 80.26 with a mean absolute deviation of 1.08 and the sum of the absolute errors of 65.90.This simple exponential smoothing model begins by setting Ivy Science And forecast for the second period equal to the observation of the first period. In other words, recent IVY SCIENCE observations are given relatively more weight in forecasting than the older observations. All Simple Exponential Smoothing forecast figures shown for Ivy Science And are reference data reflecting model output based on available historical prices.
IVY SCIENCE simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Ivy Science And are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Ivy Science And prices get older.

Simple Exponential Smoothing Price Forecast For the 26th of March

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Ivy Science And on the next trading day is expected to be 80.26 with a mean absolute deviation of 1.08 , mean absolute percentage error of 1.78 , and the sum of the absolute errors of 65.90 .
Please note that although there have been many attempts to predict IVY Mutual Fund prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that IVY SCIENCE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mutual Fund Forecast Pattern

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Forecasted Value

This next-day forecast for Ivy Science And uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. No forecasting approach has been shown to beat all others over time. Investors should treat any model output as a guide, not a guarantee.
Market Value
80.26
80.26
Expected Value
81.89
Upside

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 IVY SCIENCE mutual fund data series using in forecasting. Note that when a statistical model is used to represent IVY SCIENCE 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 Criteria118.6889
BiasArithmetic mean of the errors 0.003
MADMean absolute deviation1.0803
MAPEMean absolute percentage error0.013
SAESum of the absolute errors65.9
This simple exponential smoothing model begins by setting Ivy Science And forecast for the second period equal to the observation of the first period. In other words, recent IVY SCIENCE observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for IVY SCIENCE

Bollinger Bands applied to IVY Mutual Fund price data measure how far IVY has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to IVY SCIENCE's price data. On-balance volume for IVY Mutual Fund creates a running indicator of buying versus selling pressure in IVY. Price departures from the channel boundary often mean-revert, offering tactical signals for IVY SCIENCE's.

IVY SCIENCE Related Equities

These stocks within the Technology space are often compared to IVY SCIENCE by analysts and fund managers in the sector. Profit comparisons show whether IVY SCIENCE earns above or below average returns next to its peers.
 Risk & Return  Correlation

IVY SCIENCE Market Strength Events

For investors tracking Ivy Science And, market strength indicators offer quantitative evaluation of mutual fund behavior. These indicators add context to timing decisions around Ivy Science And positions. These indicators capture shifts in momentum that may precede significant price moves in IVY SCIENCE. These metrics provide actionable context for both entry and risk management decisions around Ivy Science And.

IVY SCIENCE Risk Indicators

Analyzing IVY SCIENCE's basic risk indicators provides investors with a structured view of the risk-return trade-off for ivy mutual fund. By identifying the level of risk embedded in IVY SCIENCE's investment, investors can make informed decisions about position sizing. Analyzing IVY SCIENCE's risk indicators gives investors important context for price forecasting. Understanding the risk in IVY SCIENCE's investment allows investors to make informed choices about mitigating exposure.
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.

Story Coverage note for IVY SCIENCE

Coverage intensity for Ivy Science And matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.

Other Macroaxis Stories

Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.