PT Net Stock Forecast - Polynomial Regression

NETV Stock   176.00  20.00  12.82%   
The Polynomial Regression forecasted value of PT Net Visi on the next trading day is expected to be 170.30 with a mean absolute deviation of 4.56 and the sum of the absolute errors of 277.97. NETV Stock Forecast is based on your current time horizon.
As of now The value of RSI of PT Net's share price is above 80 . This indicates that the stock is significantly overbought by investors. 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 88

 Buy Peaked

 
Oversold
 
Overbought
The successful prediction of PT Net's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with PT Net Visi, which may create opportunities for some arbitrage if properly timed.
Using PT Net hype-based prediction, you can estimate the value of PT Net Visi from the perspective of PT Net response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of PT Net Visi on the next trading day is expected to be 170.30 with a mean absolute deviation of 4.56 and the sum of the absolute errors of 277.97.

PT Net after-hype prediction price

    
  IDR 176.0  
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of PT Net to cross-verify your projections.

PT Net Additional Predictive Modules

Most predictive techniques to examine NETV price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for NETV using various technical indicators. When you analyze NETV 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.
PT Net polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for PT Net Visi as well as the accuracy indicators are determined from the period prices.

PT Net Polynomial Regression Price Forecast For the 6th of January

Given 90 days horizon, the Polynomial Regression forecasted value of PT Net Visi on the next trading day is expected to be 170.30 with a mean absolute deviation of 4.56, mean absolute percentage error of 43.38, and the sum of the absolute errors of 277.97.
Please note that although there have been many attempts to predict NETV 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 Net's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

PT Net Stock Forecast Pattern

Backtest PT NetPT Net Price PredictionBuy or Sell Advice 

PT Net Forecasted Value

In the context of forecasting PT Net'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 Net's downside and upside margins for the forecasting period are 165.01 and 175.59, respectively. We have considered PT Net'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
176.00
165.01
Downside
170.30
Expected Value
175.59
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 PT Net stock data series using in forecasting. Note that when a statistical model is used to represent PT Net 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 Criteria121.8804
BiasArithmetic mean of the errors None
MADMean absolute deviation4.5568
MAPEMean absolute percentage error0.0367
SAESum of the absolute errors277.9677
A single variable polynomial regression model attempts to put a curve through the PT Net 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 PT Net

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 Net Visi. 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
170.75176.00181.25
Details
Intrinsic
Valuation
LowRealHigh
153.00158.25193.60
Details
Bollinger
Band Projection (param)
LowMiddleHigh
94.17131.40168.63
Details

Other Forecasting Options for PT Net

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

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

PT Net Visi 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 Net'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 Net's current price.

PT Net Market Strength Events

Market strength indicators help investors to evaluate how PT Net 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 Net shares will generate the highest return on investment. By undertsting and applying PT Net stock market strength indicators, traders can identify PT Net Visi entry and exit signals to maximize returns.

PT Net Risk Indicators

The analysis of PT Net'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 Net's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting netv 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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Prophet is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Prophet

Other Information on Investing in NETV Stock

PT Net financial ratios help investors to determine whether NETV 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 NETV with respect to the benefits of owning PT Net security.