Privasia Technology Stock Forecast - 20 Period Moving Average

0123 Stock   0.1  0.01  5.00%   
The 20 Period Moving Average forecasted value of Privasia Technology Bhd on the next trading day is expected to be 0.10 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.28. Privasia Stock Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for Privasia Technology Bhd is based on a synthetically constructed Privasia Technologydaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Privasia Technology 20 Period Moving Average Price Forecast For the 26th of November

Given 90 days horizon, the 20 Period Moving Average forecasted value of Privasia Technology Bhd on the next trading day is expected to be 0.10 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.000056, and the sum of the absolute errors of 0.28.
Please note that although there have been many attempts to predict Privasia Stock 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 Privasia Technology's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Privasia Technology Stock Forecast Pattern

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Privasia Technology Forecasted Value

In the context of forecasting Privasia Technology's Stock 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. Privasia Technology's downside and upside margins for the forecasting period are 0.0009 and 4.95, respectively. We have considered Privasia Technology'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
0.1
0.0009
Downside
0.10
Expected Value
4.95
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Privasia Technology stock data series using in forecasting. Note that when a statistical model is used to represent Privasia Technology stock, 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 Criteria71.5623
BiasArithmetic mean of the errors 0.0023
MADMean absolute deviation0.0068
MAPEMean absolute percentage error0.0664
SAESum of the absolute errors0.2808
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Privasia Technology Bhd 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Privasia Technology

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Privasia Technology Bhd. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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
0.010.104.95
Details
Intrinsic
Valuation
LowRealHigh
0.000.094.94
Details

Other Forecasting Options for Privasia Technology

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

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

Privasia Technology Bhd Technical and Predictive Analytics

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

Privasia Technology Market Strength Events

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

Privasia Technology Risk Indicators

The analysis of Privasia Technology'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 Privasia Technology's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting privasia stock 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 Privasia Stock

Privasia Technology financial ratios help investors to determine whether Privasia Stock 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 Privasia with respect to the benefits of owning Privasia Technology security.