Apollomics Stock Forecast - Simple Regression

APLM Stock   19.30  0.60  3.21%   
The Simple Regression forecasted value of Apollomics Class A on the next trading day is expected to be 15.61 with a mean absolute deviation of 3.58 and the sum of the absolute errors of 218.40. Apollomics Stock Forecast is based on your current time horizon. Although Apollomics' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Apollomics' systematic risk associated with finding meaningful patterns of Apollomics fundamentals over time.
As of now the rsi of Apollomics' 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 Apollomics' 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 Apollomics and does not consider all of the tangible or intangible factors available from Apollomics' fundamental data. We analyze noise-free headlines and recent hype associated with Apollomics Class A, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Apollomics' stock price prediction:
Wall Street Target Price
2
Quarterly Revenue Growth
2.623
Using Apollomics hype-based prediction, you can estimate the value of Apollomics Class A from the perspective of Apollomics response to recently generated media hype and the effects of current headlines on its competitors.

Apollomics Class A Hype to Price Pattern

Investor biases related to Apollomics' public news can be used to forecast risks associated with an investment in Apollomics. The trend in average sentiment can be used to explain how an investor holding Apollomics can time the market purely based on public headlines and social activities around Apollomics Class A. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Apollomics' market sentiment to its price can help taders to make decisions based on the overall investors consensus about Apollomics.
The Simple Regression forecasted value of Apollomics Class A on the next trading day is expected to be 15.61 with a mean absolute deviation of 3.58 and the sum of the absolute errors of 218.40.

Apollomics after-hype prediction price

    
  USD 17.95  
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 Apollomics to cross-verify your projections.
As of the 2nd of January 2026, Receivables Turnover is likely to grow to 1.84, while Fixed Asset Turnover is likely to drop 0.21. . As of the 2nd of January 2026, Common Stock Shares Outstanding is likely to drop to about 685.6 K.

Apollomics Additional Predictive Modules

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

Apollomics Simple Regression Price Forecast For the 3rd of January

Given 90 days horizon, the Simple Regression forecasted value of Apollomics Class A on the next trading day is expected to be 15.61 with a mean absolute deviation of 3.58, mean absolute percentage error of 21.63, and the sum of the absolute errors of 218.40.
Please note that although there have been many attempts to predict Apollomics 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 Apollomics' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Apollomics Stock Forecast Pattern

Backtest ApollomicsApollomics Price PredictionBuy or Sell Advice 

Apollomics Forecasted Value

In the context of forecasting Apollomics' 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. Apollomics' downside and upside margins for the forecasting period are 2.61 and 28.61, respectively. We have considered Apollomics' 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
19.30
15.61
Expected Value
28.61
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 Apollomics stock data series using in forecasting. Note that when a statistical model is used to represent Apollomics 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 Criteria121.1848
BiasArithmetic mean of the errors None
MADMean absolute deviation3.5803
MAPEMean absolute percentage error0.1945
SAESum of the absolute errors218.3964
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 Apollomics Class A 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 Apollomics

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Apollomics Class A. 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
4.9517.9530.95
Details
Intrinsic
Valuation
LowRealHigh
0.509.9222.92
Details
Bollinger
Band Projection (param)
LowMiddleHigh
12.8816.7420.60
Details
1 Analysts
Consensus
LowTargetHigh
1.822.002.22
Details

Other Forecasting Options for Apollomics

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

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

Apollomics Class A 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 Apollomics' 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 Apollomics' current price.

Apollomics Market Strength Events

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

Apollomics Risk Indicators

The analysis of Apollomics' 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 Apollomics' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting apollomics 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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When determining whether Apollomics Class A is a strong investment it is important to analyze Apollomics' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Apollomics' future performance. For an informed investment choice regarding Apollomics Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Apollomics to cross-verify your projections.
You can also try the AI Portfolio Prophet module to use AI to generate optimal portfolios and find profitable investment opportunities.
Is Biotechnology space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Apollomics. If investors know Apollomics will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Apollomics listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(52.80)
Revenue Per Share
0.194
Quarterly Revenue Growth
2.623
Return On Assets
(0.75)
Return On Equity
(2.34)
The market value of Apollomics Class A is measured differently than its book value, which is the value of Apollomics that is recorded on the company's balance sheet. Investors also form their own opinion of Apollomics' value that differs from its market value or its book value, called intrinsic value, which is Apollomics' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Apollomics' market value can be influenced by many factors that don't directly affect Apollomics' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Apollomics' value and its price as these two are different measures arrived at by different means. Investors typically determine if Apollomics is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Apollomics' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.