Pss Stock Forecast - Simple Regression

6914 Stock   146.00  2.50  1.74%   
The Simple Regression forecasted value of Pss Co on the next trading day is expected to be 143.25 with a mean absolute deviation of 1.59 and the sum of the absolute errors of 97.11. Investors can use prediction functions to forecast Pss' stock prices and determine the direction of Pss Co's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of Pss' historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment. At this time the value of rsi of Pss' share price is below 20 . This suggests that the stock is significantly oversold. 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 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Pss' future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Pss and does not consider all of the tangible or intangible factors available from Pss' fundamental data. We analyze noise-free headlines and recent hype associated with Pss Co, which may create opportunities for some arbitrage if properly timed.
Using Pss hype-based prediction, you can estimate the value of Pss Co from the perspective of Pss response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Pss Co on the next trading day is expected to be 143.25 with a mean absolute deviation of 1.59 and the sum of the absolute errors of 97.11.

Pss after-hype prediction price

    
  TWD 146.0  
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 Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment.

Pss Additional Predictive Modules

Most predictive techniques to examine Pss price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Pss using various technical indicators. When you analyze Pss 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through Pss 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.

Pss Simple Regression Price Forecast For the 12th of January 2026

Given 90 days horizon, the Simple Regression forecasted value of Pss Co on the next trading day is expected to be 143.25 with a mean absolute deviation of 1.59, mean absolute percentage error of 3.74, and the sum of the absolute errors of 97.11.
Please note that although there have been many attempts to predict Pss 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 Pss' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Pss Stock Forecast Pattern

Pss Forecasted Value

In the context of forecasting Pss' 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. Pss' downside and upside margins for the forecasting period are 141.93 and 144.58, respectively. We have considered Pss' 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
146.00
141.93
Downside
143.25
Expected Value
144.58
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 Pss stock data series using in forecasting. Note that when a statistical model is used to represent Pss 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 Criteria119.4288
BiasArithmetic mean of the errors None
MADMean absolute deviation1.5919
MAPEMean absolute percentage error0.0107
SAESum of the absolute errors97.1075
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 Pss Co 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 Pss

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pss Co. 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.

Other Forecasting Options for Pss

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

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

Pss Co 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 Pss' 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 Pss' current price.

Pss Market Strength Events

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

Pss Risk Indicators

The analysis of Pss' 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 Pss' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pss 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.

Additional Tools for Pss Stock Analysis

When running Pss' price analysis, check to measure Pss' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Pss is operating at the current time. Most of Pss' value examination focuses on studying past and present price action to predict the probability of Pss' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Pss' price. Additionally, you may evaluate how the addition of Pss to your portfolios can decrease your overall portfolio volatility.