Monolithic Power Stock Forward View - Simple Moving Average
| MPWR Stock | USD 1,119 17.07 1.55% |
This page provides Simple Moving Average reference data for Monolithic Power Systems, calculated from historical daily prices. The model output shown here is derived from Monolithic Power's historical price series and is provided for informational purposes. Projected values and accuracy measures are included for reference.
The Simple Moving Average forecasted value of Monolithic Power Systems on the next trading day is expected to be 1,110 with a mean absolute deviation of 24.81 and the sum of the absolute errors of 1,464.The simple moving average model is conceptually a linear regression of the current value of Monolithic Power Systems price series against current and previous (unobserved) value of Monolithic Power. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future The Simple Moving Average reference information for Monolithic Power is based on available price data and is intended for informational purposes. Simple Moving Average Price Forecast For the 26th of March
Given 90 days horizon, the Simple Moving Average forecasted value of Monolithic Power Systems on the next trading day is expected to be 1,110 with a mean absolute deviation of 24.81 , mean absolute percentage error of 1,051 , and the sum of the absolute errors of 1,464 .Please note that although there have been many attempts to predict Monolithic 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 Monolithic Power's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Monolithic Power | Monolithic Power Price Prediction | Research Analysis |
Forecasted Value
Forecasting Monolithic Power Systems 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 Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Monolithic Power stock data series using in forecasting. Note that when a statistical model is used to represent Monolithic Power 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 | 121.3921 |
| Bias | Arithmetic mean of the errors | -4.553 |
| MAD | Mean absolute deviation | 24.8128 |
| MAPE | Mean absolute percentage error | 0.0227 |
| SAE | Sum of the absolute errors | 1463.955 |
Other Forecasting Options for Monolithic Power
The autocorrelation structure of Monolithic Power's daily returns reveals whether Monolithic exhibits momentum, mean-reversion, or random-walk behavior. Separating these elements helps distinguish persistent directional moves from temporary noise in Monolithic Stock price data. Stochastic oscillator analysis compares Monolithic Power's closing price to its range over a given period.Monolithic Power Related Equities
The peer firms below within the Information Technology space can help frame Monolithic Power's pricing and running costs in context. Return on equity across these peers shows how well each firm turns capital into profit. Persistent outperformance or underperformance by specific peers relative to Monolithic Power often signals structural advantages or weaknesses. Peer review is one of the most widely used methods in stock research and portfolio building.
| Risk & Return | Correlation |
Monolithic Power Market Strength Events
Market strength indicators applied to Monolithic Power stock help assess momentum and resilience across environments. These indicators support informed market timing decisions when analyzing Monolithic Power. For Monolithic Power Systems, market strength indicators complement fundamental analysis with timing context.
| Accumulation Distribution | 6873.23 | |||
| Daily Balance Of Power | 0.6596 | |||
| Rate Of Daily Change | 1.02 | |||
| Day Median Price | 1114.8 | |||
| Day Typical Price | 1116.09 | |||
| Market Facilitation Index | 1.0E-4 | |||
| Price Action Indicator | 12.4 | |||
| Period Momentum Indicator | 17.07 |
Monolithic Power Risk Indicators
Risk indicator analysis for Monolithic Power is essential for accurately projecting its future price trajectory. The process involves identifying the amount of risk involved in Monolithic Power's investment and either accepting or mitigating it. Understanding the risk profile of Monolithic Power's allows investors to make more informed decisions about position sizing.
| Mean Deviation | 2.1 | |||
| Semi Deviation | 2.59 | |||
| Standard Deviation | 2.72 | |||
| Variance | 7.37 | |||
| Downside Variance | 8.73 | |||
| Semi Variance | 6.71 | |||
| Expected Short fall | -2.07 |
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 Monolithic Power
A coverage review of Monolithic Power Systems shows when the security is attracting above-average attention from contributors and market observers. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.
Contributor Headline
Latest Perspective From Macroaxis
Monolithic Power Short Properties
Short-interest signals around Monolithic Power Systems can help investors judge whether skeptical positioning is starting to pressure price predictability and market tone. The stronger read compares short sentiment with trend behavior, volume, and the broader market narrative.
| Common Stock Shares Outstanding | 48.3 M | |
| Cash And Short Term Investments | 1.3 B |
Additional Tools for Monolithic Stock Analysis
| Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
| Stocks Directory Find actively traded stocks across global markets | |
| Pattern Recognition Use different Pattern Recognition models to identify potential trend changes across multiple global exchanges | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Global Correlations Find global opportunities by holding instruments from different markets | |
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
| Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency |