Apollomics Stock Forward View - Double Exponential Smoothing
| APLM Stock | 19.50 -0.01 -0.05% |
The Double Exponential Smoothing reference data for Apollomics is derived from the equity's published trading history. Forecast values and accuracy indicators are summarized on this page for reference.
The Double Exponential Smoothing forecasted value of Apollomics Class A on the next trading day is expected to be 19.39 with a mean absolute deviation of 0.76 and the sum of the absolute errors of 45.08.When Apollomics Class A prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Apollomics Class A trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Apollomics observations are given relatively more weight in forecasting than the older observations. All forecast values on this page for Apollomics Class A are Double Exponential Smoothing reference data derived from historical price series. Double Exponential Smoothing Price Forecast For the 19th of March
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Apollomics Class A on the next trading day is expected to be 19.39 with a mean absolute deviation of 0.76 , mean absolute percentage error of 1.14 , and the sum of the absolute errors of 45.08 .Please note that although there have been many attempts to predict Apollomics Stock prices using its time series forecasting, we generally do not suggest 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).
Stock Forecast Pattern
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Forecasted Value
Forecasting Apollomics Class A for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing 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.| AIC | Akaike Information Criteria | Huge |
| Bias | Arithmetic mean of the errors | 0.1808 |
| MAD | Mean absolute deviation | 0.7641 |
| MAPE | Mean absolute percentage error | 0.0388 |
| SAE | Sum of the absolute errors | 45.0815 |
Other Forecasting Options for Apollomics
For both new and experienced investors in Apollomics, the ability to analyze Apollomics' price movement is a fundamental investment skill. Price chart noise in Apollomics Stock can create false signals and mislead investment decisions.Apollomics Related Equities
The following equities are related to Apollomics within the Health Care space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Apollomics against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
Apollomics Market Strength Events
Tracking market strength indicators for Apollomics helps investors understand the momentum dynamics of the stock in real time. These signals support informed decisions about when to enter or exit positions in Apollomics Class A for maximum return potential.
Apollomics Risk Indicators
Properly assessing Apollomics' risk indicators is a prerequisite for building reliable price forecasts. Identifying and quantifying the risks associated with Apollomics' allows investors to make better-informed decisions about accepting or hedging their exposure.
| Mean Deviation | 3.94 | |||
| Semi Deviation | 4.41 | |||
| Standard Deviation | 5.35 | |||
| Variance | 28.61 | |||
| Downside Variance | 21.46 | |||
| Semi Variance | 19.44 | |||
| Expected Short fall | -4.60 |
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.
Story Coverage note for Apollomics
Story coverage around Apollomics Class A often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. The practical risk is that faster visibility can increase both interest and skepticism at the same time.
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Apollomics Short Properties
Short-interest signals around Apollomics Class A can help investors judge whether skeptical positioning is starting to pressure price predictability and market tone. A disciplined short-interest review can make timing decisions more informed under rising skepticism.
| Common Stock Shares Outstanding | 926.5 K | |
| Cash And Short Term Investments | 9.8 M |