Pt Pradiksi Stock Forecast - Simple Regression

PGUN Stock  IDR 424.00  0.00  0.00%   
The Simple Regression forecasted value of Pt Pradiksi Gunatama on the next trading day is expected to be 424.08 with a mean absolute deviation of 4.31 and the sum of the absolute errors of 262.82. PGUN Stock Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Pt Pradiksi price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Pt Pradiksi Simple Regression Price Forecast For the 23rd of November

Given 90 days horizon, the Simple Regression forecasted value of Pt Pradiksi Gunatama on the next trading day is expected to be 424.08 with a mean absolute deviation of 4.31, mean absolute percentage error of 40.01, and the sum of the absolute errors of 262.82.
Please note that although there have been many attempts to predict PGUN 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 Pt Pradiksi's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Pt Pradiksi Stock Forecast Pattern

Backtest Pt PradiksiPt Pradiksi Price PredictionBuy or Sell Advice 

Pt Pradiksi Forecasted Value

In the context of forecasting Pt Pradiksi'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. Pt Pradiksi's downside and upside margins for the forecasting period are 423.11 and 425.06, respectively. We have considered Pt Pradiksi'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
424.00
423.11
Downside
424.08
Expected Value
425.06
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Pt Pradiksi stock data series using in forecasting. Note that when a statistical model is used to represent Pt Pradiksi 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 Criteria121.7996
BiasArithmetic mean of the errors None
MADMean absolute deviation4.3085
MAPEMean absolute percentage error0.0101
SAESum of the absolute errors262.8186
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Pt Pradiksi Gunatama historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Pt Pradiksi

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pt Pradiksi Gunatama. 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
423.02424.00424.98
Details
Intrinsic
Valuation
LowRealHigh
350.56351.54466.40
Details
Bollinger
Band Projection (param)
LowMiddleHigh
420.38425.25430.12
Details

Other Forecasting Options for Pt Pradiksi

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

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

Pt Pradiksi Gunatama 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 Pt Pradiksi'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 Pt Pradiksi's current price.

Pt Pradiksi Market Strength Events

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

Pt Pradiksi Risk Indicators

The analysis of Pt Pradiksi'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 Pt Pradiksi's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pgun 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.

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Other Information on Investing in PGUN Stock

Pt Pradiksi financial ratios help investors to determine whether PGUN 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 PGUN with respect to the benefits of owning Pt Pradiksi security.