DIA Crypto Coin Forward View - Triple Exponential Smoothing

DIA Crypto  USD 0.18  -0.01  -5.26%   
This reference page presents Triple Exponential Smoothing forecast data for DIA. The projected values and error metrics are presented below as reference information.
The Triple Exponential Smoothing forecasted value of DIA on the next trading day is expected to be 0.18 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.58.As with simple exponential smoothing, in triple exponential smoothing models past DIA 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 DIA observations. This Triple Exponential Smoothing forecast data for DIA is sourced from the most recent available trading data and is intended solely as reference information.
Triple exponential smoothing for DIA - 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 DIA 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 DIA price movement. However, neither of these exponential smoothing models address any seasonality of DIA.

Triple Exponential Smoothing Price Forecast For the 26th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of DIA on the next trading day is expected to be 0.18 with a mean absolute deviation of 0.01 , mean absolute percentage error of 0.0002 , and the sum of the absolute errors of 0.58 .
Please note that although there have been many attempts to predict DIA Crypto Coin 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 DIA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Crypto Coin Forecast Pattern

Forecasted Value

Forecasting DIA for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
0.18
0.0018
Downside
0.18
Expected Value
5.73
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 DIA crypto coin data series using in forecasting. Note that when a statistical model is used to represent DIA crypto coin, 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 -0.0024
MADMean absolute deviation0.0097
MAPEMean absolute percentage error0.0427
SAESum of the absolute errors0.5824
As with simple exponential smoothing, in triple exponential smoothing models past DIA 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 DIA observations.

Other Forecasting Options for DIA

DIA's daily price returns can be decomposed into trend, seasonal, and residual components. Divergence between short-term and long-term averages in DIA often signals an upcoming reversal or acceleration.

DIA Related Equities

These stocks within the Cryptocurrency space are often compared to DIA by analysts and fund managers in the sector. Profit comparisons show whether DIA earns above or below average returns next to its peers. Firms that trade at big discounts to peers on core metrics may be worth more research.
 Risk & Return  Correlation

DIA Market Strength Events

Market strength indicators help investors evaluate how DIA crypto coin reacts to evolving market conditions. These indicators help determine optimal entry and exit points for trading DIA.

DIA Risk Indicators

The analysis of DIA's basic risk indicators is one of the essential steps in accurately forecasting its future price. Understanding the risk involved in holding DIA's allows investors to make informed decisions about their 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 DIA

A coverage review of DIA shows when the security is attracting above-average attention from contributors and market observers. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.

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.

More Resources for DIA Crypto Coin Analysis

The foundation for reviewing DIA is its financial reporting and trend data.
The Historical Fundamental Analysis of DIA module adds a historical reference layer for DIA's projections.
DIA currently shows market cap of 116,254. This analysis of DIA works best as a complementary layer when evaluating how the security fits in a broader portfolio. For DIA, the analytical tools below add portfolio-level context that single-security review alone cannot provide. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
DIA value and market price can differ because they are formed through different methodologies. This view summarizes available data without implying outcomes.