Parque Dom Fund Forecast - Simple Moving Average

PQDP11 Fund  BRL 2,050  31.00  1.49%   
The Simple Moving Average forecasted value of Parque Dom Pedro on the next trading day is expected to be 2,050 with a mean absolute deviation of 21.44 and the sum of the absolute errors of 1,265. Parque Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Parque Dom stock prices and determine the direction of Parque Dom Pedro's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Parque Dom's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A two period moving average forecast for Parque Dom is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Parque Dom Simple Moving Average Price Forecast For the 30th of November

Given 90 days horizon, the Simple Moving Average forecasted value of Parque Dom Pedro on the next trading day is expected to be 2,050 with a mean absolute deviation of 21.44, mean absolute percentage error of 957.05, and the sum of the absolute errors of 1,265.
Please note that although there have been many attempts to predict Parque 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 Parque Dom's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Parque Dom Fund Forecast Pattern

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Parque Dom Forecasted Value

In the context of forecasting Parque Dom's 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. Parque Dom's downside and upside margins for the forecasting period are 2,049 and 2,051, respectively. We have considered Parque Dom'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
2,050
2,050
Expected Value
2,051
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Parque Dom fund data series using in forecasting. Note that when a statistical model is used to represent Parque Dom 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 Criteria121.2986
BiasArithmetic mean of the errors -3.1281
MADMean absolute deviation21.4375
MAPEMean absolute percentage error0.0106
SAESum of the absolute errors1264.81
The simple moving average model is conceptually a linear regression of the current value of Parque Dom Pedro price series against current and previous (unobserved) value of Parque Dom. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Parque Dom

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Parque Dom Pedro. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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
0.000.001.43
Details
Intrinsic
Valuation
LowRealHigh
0.000.001.43
Details
Bollinger
Band Projection (param)
LowMiddleHigh
1,9932,0402,087
Details

Other Forecasting Options for Parque Dom

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

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

Parque Dom Pedro Technical and Predictive Analytics

The fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Parque Dom'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 Parque Dom's current price.

Parque Dom Market Strength Events

Market strength indicators help investors to evaluate how Parque Dom fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Parque Dom shares will generate the highest return on investment. By undertsting and applying Parque Dom fund market strength indicators, traders can identify Parque Dom Pedro entry and exit signals to maximize returns.

Parque Dom Risk Indicators

The analysis of Parque Dom'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 Parque Dom's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting parque 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 Parque Fund

Parque Dom financial ratios help investors to determine whether Parque 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 Parque with respect to the benefits of owning Parque Dom security.
Fundamentals Comparison
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Correlation Analysis
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