Smart Diversification Mutual Fund Forecast - Polynomial Regression

SMDFXDelisted Fund  USD 12.05  0.00  0.00%   
The Polynomial Regression forecasted value of Smart Diversification on the next trading day is expected to be 12.11 with a mean absolute deviation of 0.1 and the sum of the absolute errors of 6.09. Smart Mutual Fund Forecast is based on your current time horizon.
  
Smart Diversification polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Smart Diversification as well as the accuracy indicators are determined from the period prices.

Smart Diversification Polynomial Regression Price Forecast For the 22nd of January

Given 90 days horizon, the Polynomial Regression forecasted value of Smart Diversification on the next trading day is expected to be 12.11 with a mean absolute deviation of 0.1, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.09.
Please note that although there have been many attempts to predict Smart 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 Smart Diversification's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Smart Diversification Mutual Fund Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Smart Diversification mutual fund data series using in forecasting. Note that when a statistical model is used to represent Smart Diversification 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 Criteria113.9369
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0998
MAPEMean absolute percentage error0.0086
SAESum of the absolute errors6.089
A single variable polynomial regression model attempts to put a curve through the Smart Diversification historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Smart Diversification

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Smart Diversification. 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.
Hype
Prediction
LowEstimatedHigh
12.0512.0512.05
Details
Intrinsic
Valuation
LowRealHigh
11.0811.0813.26
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Smart Diversification. Your research has to be compared to or analyzed against Smart Diversification's peers to derive any actionable benefits. When done correctly, Smart Diversification's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Smart Diversification.

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

Smart Diversification Market Strength Events

Market strength indicators help investors to evaluate how Smart Diversification 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 Smart Diversification shares will generate the highest return on investment. By undertsting and applying Smart Diversification mutual fund market strength indicators, traders can identify Smart Diversification entry and exit signals to maximize returns.

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.
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as signals in census.
You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.

Other Consideration for investing in Smart Mutual Fund

If you are still planning to invest in Smart Diversification check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Smart Diversification's history and understand the potential risks before investing.
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