DFI Stock Forecast - Simple Regression

2397 Stock  TWD 60.50  0.20  0.33%   
The Simple Regression forecasted value of DFI Inc on the next trading day is expected to be 58.65 with a mean absolute deviation of 1.70 and the sum of the absolute errors of 103.93. DFI Stock Forecast is based on your current time horizon.
At this time the value of rsi of DFI's 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 DFI's 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 DFI and does not consider all of the tangible or intangible factors available from DFI's fundamental data. We analyze noise-free headlines and recent hype associated with DFI Inc, which may create opportunities for some arbitrage if properly timed.
Using DFI hype-based prediction, you can estimate the value of DFI Inc from the perspective of DFI response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of DFI Inc on the next trading day is expected to be 58.65 with a mean absolute deviation of 1.70 and the sum of the absolute errors of 103.93.

DFI after-hype prediction price

    
  TWD 60.5  
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 DFI to cross-verify your projections.

DFI Additional Predictive Modules

Most predictive techniques to examine DFI price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for DFI using various technical indicators. When you analyze DFI 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 DFI 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.

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

Given 90 days horizon, the Simple Regression forecasted value of DFI Inc on the next trading day is expected to be 58.65 with a mean absolute deviation of 1.70, mean absolute percentage error of 4.35, and the sum of the absolute errors of 103.93.
Please note that although there have been many attempts to predict DFI 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 DFI's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

DFI Stock Forecast Pattern

Backtest DFIDFI Price PredictionBuy or Sell Advice 

DFI Forecasted Value

In the context of forecasting DFI'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. DFI's downside and upside margins for the forecasting period are 57.28 and 60.02, respectively. We have considered DFI'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
60.50
58.65
Expected Value
60.02
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 DFI stock data series using in forecasting. Note that when a statistical model is used to represent DFI 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 Criteria119.5797
BiasArithmetic mean of the errors None
MADMean absolute deviation1.7037
MAPEMean absolute percentage error0.0268
SAESum of the absolute errors103.9273
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 DFI Inc 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 DFI

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as DFI Inc. 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
59.1260.5061.88
Details
Intrinsic
Valuation
LowRealHigh
49.4450.8266.55
Details
Bollinger
Band Projection (param)
LowMiddleHigh
59.9061.3762.85
Details

Other Forecasting Options for DFI

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

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

DFI Inc 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 DFI'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 DFI's current price.

DFI Market Strength Events

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

DFI Risk Indicators

The analysis of DFI'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 DFI's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dfi 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 DFI Stock Analysis

When running DFI's price analysis, check to measure DFI's 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 DFI is operating at the current time. Most of DFI's value examination focuses on studying past and present price action to predict the probability of DFI's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DFI's price. Additionally, you may evaluate how the addition of DFI to your portfolios can decrease your overall portfolio volatility.