PT Techno9 Stock Forecast - Simple Regression

NINE Stock   36.00  3.00  9.09%   
The Simple Regression forecasted value of PT Techno9 Indonesia on the next trading day is expected to be 22.10 with a mean absolute deviation of 4.06 and the sum of the absolute errors of 247.63. NINE 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 Techno9 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 Techno9 Simple Regression Price Forecast For the 29th of November

Given 90 days horizon, the Simple Regression forecasted value of PT Techno9 Indonesia on the next trading day is expected to be 22.10 with a mean absolute deviation of 4.06, mean absolute percentage error of 24.49, and the sum of the absolute errors of 247.63.
Please note that although there have been many attempts to predict NINE 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 Techno9's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

PT Techno9 Stock Forecast Pattern

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PT Techno9 Forecasted Value

In the context of forecasting PT Techno9'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 Techno9's downside and upside margins for the forecasting period are 14.98 and 29.22, respectively. We have considered PT Techno9'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
36.00
22.10
Expected Value
29.22
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 Techno9 stock data series using in forecasting. Note that when a statistical model is used to represent PT Techno9 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 Criteria121.3087
BiasArithmetic mean of the errors None
MADMean absolute deviation4.0595
MAPEMean absolute percentage error0.347
SAESum of the absolute errors247.6274
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 Techno9 Indonesia 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 Techno9

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 Techno9 Indonesia. 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
28.6836.0043.32
Details
Intrinsic
Valuation
LowRealHigh
18.2725.5939.60
Details
Bollinger
Band Projection (param)
LowMiddleHigh
10.1624.2938.42
Details

Other Forecasting Options for PT Techno9

For every potential investor in NINE, whether a beginner or expert, PT Techno9's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. NINE Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in NINE. Basic forecasting techniques help filter out the noise by identifying PT Techno9's price trends.

PT Techno9 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 Techno9 stock to make a market-neutral strategy. Peer analysis of PT Techno9 could also be used in its relative valuation, which is a method of valuing PT Techno9 by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

PT Techno9 Indonesia 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 Techno9'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 Techno9's current price.

PT Techno9 Market Strength Events

Market strength indicators help investors to evaluate how PT Techno9 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 Techno9 shares will generate the highest return on investment. By undertsting and applying PT Techno9 stock market strength indicators, traders can identify PT Techno9 Indonesia entry and exit signals to maximize returns.

PT Techno9 Risk Indicators

The analysis of PT Techno9'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 Techno9's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting nine 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 NINE Stock

PT Techno9 financial ratios help investors to determine whether NINE 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 NINE with respect to the benefits of owning PT Techno9 security.