Predex Mutual Fund Forecast - Polynomial Regression

PTDEXDelisted Fund  USD 23.47  0.00  0.00%   
The Polynomial Regression forecasted value of Predex on the next trading day is expected to be 23.47 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Predex Mutual Fund Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Predex's share price is below 20 indicating that the mutual fund is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Predex's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Predex , which may create opportunities for some arbitrage if properly timed.
Using Predex hype-based prediction, you can estimate the value of Predex from the perspective of Predex response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Predex on the next trading day is expected to be 23.47 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.

Predex after-hype prediction price

    
  USD 23.47  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Your Equity Center 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 median.

Predex Additional Predictive Modules

Most predictive techniques to examine Predex price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Predex using various technical indicators. When you analyze Predex charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Predex polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Predex as well as the accuracy indicators are determined from the period prices.

Predex Polynomial Regression Price Forecast For the 20th of January

Given 90 days horizon, the Polynomial Regression forecasted value of Predex on the next trading day is expected to be 23.47 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict Predex 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 Predex's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Predex Mutual Fund Forecast Pattern

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 Predex mutual fund data series using in forecasting. Note that when a statistical model is used to represent Predex 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 Criteria58.5972
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
A single variable polynomial regression model attempts to put a curve through the Predex 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 Predex

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Predex. 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 Predex'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
23.4723.4723.47
Details
Intrinsic
Valuation
LowRealHigh
21.7121.7125.82
Details

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

Predex Market Strength Events

Market strength indicators help investors to evaluate how Predex 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 Predex shares will generate the highest return on investment. By undertsting and applying Predex mutual fund market strength indicators, traders can identify Predex 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 Your Equity Center 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 median.
You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.

Other Consideration for investing in Predex Mutual Fund

If you are still planning to invest in Predex 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 Predex's history and understand the potential risks before investing.
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