Ambiq Micro Stock Forward View - Triple Exponential Smoothing

AMBQ Stock   24.24  -1.67  -6.45%   
Ambiq Micro's Triple Exponential Smoothing reference data reflects the model's output when applied to available daily price observations. This page summarizes the model output and key accuracy metrics for reference. The projected value and error metrics are calculated from available daily price observations.
The Triple Exponential Smoothing forecasted value of Ambiq Micro on the next trading day is expected to be 23.96 with a mean absolute deviation of 0.93 and the sum of the absolute errors of 55.16.As with simple exponential smoothing, in triple exponential smoothing models past Ambiq Micro observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Ambiq Micro observations. The Triple Exponential Smoothing reference values for Ambiq Micro are derived from publicly available price data and should be used for informational purposes only.
Triple exponential smoothing for Ambiq Micro - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Ambiq Micro 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 trend in Ambiq Micro price movement. However, neither of these exponential smoothing models address any seasonality of Ambiq Micro.

Triple Exponential Smoothing Price Forecast For the 24th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Ambiq Micro on the next trading day is expected to be 23.96 with a mean absolute deviation of 0.93 , mean absolute percentage error of 1.53 , and the sum of the absolute errors of 55.16 .
Please note that although there have been many attempts to predict Ambiq 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 Ambiq Micro's 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

This next-day forecast for Ambiq Micro uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
24.24
23.96
Expected Value
27.87
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Ambiq Micro stock data series using in forecasting. Note that when a statistical model is used to represent Ambiq Micro 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 CriteriaHuge
BiasArithmetic mean of the errors 0.2269
MADMean absolute deviation0.935
MAPEMean absolute percentage error0.0311
SAESum of the absolute errors55.1632
As with simple exponential smoothing, in triple exponential smoothing models past Ambiq Micro observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Ambiq Micro observations.

Other Forecasting Options for Ambiq Micro

Relative Strength Index values for Ambiq measure the speed and magnitude of recent price changes. Recognizing these clusters in Ambiq Micro's returns helps calibrate position size and stop-loss levels. Candlestick pattern analysis of Ambiq Stock daily data can reveal short-term reversal or continuation signals.

Ambiq Micro Related Equities

These firms work in a similar space as Ambiq Micro within the Information Technology space and serve as useful points for comparison. Profit comparisons show whether Ambiq Micro earns above or below average returns next to its peers.
 Risk & Return  Correlation

Ambiq Micro Market Strength Events

Market strength indicators provide a structured view of how Ambiq Micro stock is positioned relative to trends. These indicators are valuable tools for identifying when to enter or exit positions in Ambiq Micro. Investors tracking Ambiq Micro can use these signals to validate or adjust their position timing.

Ambiq Micro Risk Indicators

The analysis of Ambiq Micro's risk metrics is one of the most important steps in projecting its future price. This process quantifies the risk associated with Ambiq Micro's and helps determine how to manage it. A structured analysis of Ambiq Micro's risk indicators is one of the most reliable ways to improve forecast accuracy.
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 Ambiq Micro

Story coverage around Ambiq Micro 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.

Ambiq Micro Short Properties

A short-interest review of Ambiq Micro provides context for understanding whether skepticism in the market is becoming more influential. This is most valuable when investors want to know whether bearish pressure is starting to shape the market's reaction function.
Common Stock Shares OutstandingM
Cash And Short Term Investments140.3 M

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