Dow 2x Mutual Fund Forecast - Polynomial Regression

RYLDX Fund  USD 194.59  1.64  0.85%   
The Polynomial Regression forecasted value of Dow 2x Strategy on the next trading day is expected to be 198.81 with a mean absolute deviation of 2.84 and the sum of the absolute errors of 173.38. Dow Mutual Fund Forecast is based on your current time horizon.
  
Dow 2x polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Dow 2x Strategy as well as the accuracy indicators are determined from the period prices.

Dow 2x Polynomial Regression Price Forecast For the 2nd of December

Given 90 days horizon, the Polynomial Regression forecasted value of Dow 2x Strategy on the next trading day is expected to be 198.81 with a mean absolute deviation of 2.84, mean absolute percentage error of 13.33, and the sum of the absolute errors of 173.38.
Please note that although there have been many attempts to predict Dow 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 Dow 2x's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Dow 2x Mutual Fund Forecast Pattern

Backtest Dow 2xDow 2x Price PredictionBuy or Sell Advice 

Dow 2x Forecasted Value

In the context of forecasting Dow 2x'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. Dow 2x's downside and upside margins for the forecasting period are 197.32 and 200.29, respectively. We have considered Dow 2x'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
194.59
197.32
Downside
198.81
Expected Value
200.29
Upside

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 Dow 2x mutual fund data series using in forecasting. Note that when a statistical model is used to represent Dow 2x 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 Criteria120.7005
BiasArithmetic mean of the errors None
MADMean absolute deviation2.8423
MAPEMean absolute percentage error0.016
SAESum of the absolute errors173.3789
A single variable polynomial regression model attempts to put a curve through the Dow 2x 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 Dow 2x

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Dow 2x Strategy. 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 Dow 2x'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
193.09194.59196.09
Details
Intrinsic
Valuation
LowRealHigh
175.13210.16211.66
Details

Other Forecasting Options for Dow 2x

For every potential investor in Dow, whether a beginner or expert, Dow 2x's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Dow Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Dow. Basic forecasting techniques help filter out the noise by identifying Dow 2x's price trends.

Dow 2x 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 Dow 2x mutual fund to make a market-neutral strategy. Peer analysis of Dow 2x could also be used in its relative valuation, which is a method of valuing Dow 2x by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Dow 2x Strategy 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 Dow 2x'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 Dow 2x's current price.

Dow 2x Market Strength Events

Market strength indicators help investors to evaluate how Dow 2x 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 Dow 2x shares will generate the highest return on investment. By undertsting and applying Dow 2x mutual fund market strength indicators, traders can identify Dow 2x Strategy entry and exit signals to maximize returns.

Dow 2x Risk Indicators

The analysis of Dow 2x'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 Dow 2x's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dow 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 Dow Mutual Fund

Dow 2x financial ratios help investors to determine whether Dow 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 Dow with respect to the benefits of owning Dow 2x security.
Insider Screener
Find insiders across different sectors to evaluate their impact on performance
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities