CarPartsCom Stock Forward View - Double Exponential Smoothing
| PRTS Stock | USD 0.83 -0.01 -0.99% |
The Double Exponential Smoothing forecast reference data for CarPartsCom is based on the equity's recent trading history. Forecast values and accuracy indicators are summarized on this page for reference. This reference information is provided for analytical context.
The Double Exponential Smoothing forecasted value of CarPartsCom on the next trading day is expected to be 0.84 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.42.When CarPartsCom 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 CarPartsCom 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 CarPartsCom observations are given relatively more weight in forecasting than the older observations. The Double Exponential Smoothing projections for CarPartsCom are reference data based on historical daily prices and are provided as informational context. Double Exponential Smoothing Price Forecast For the 27th of March
Given 90 days horizon, the Double Exponential Smoothing forecasted value of CarPartsCom on the next trading day is expected to be 0.84 with a mean absolute deviation of 0.02 , mean absolute percentage error of 0.001 , and the sum of the absolute errors of 1.42 .Please note that although there have been many attempts to predict CarPartsCom 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 CarPartsCom's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest CarPartsCom | CarPartsCom Price Prediction | Research Analysis |
Forecasted Value
The next-day forecast for CarPartsCom focuses on identifying predictive downside and upside bands that can frame a realistic trading range. No forecasting approach has been shown to beat all others over time. Investors should treat any model output as a guide, not a guarantee.
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 CarPartsCom stock data series using in forecasting. Note that when a statistical model is used to represent CarPartsCom 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 | 0.0047 |
| MAD | Mean absolute deviation | 0.0241 |
| MAPE | Mean absolute percentage error | 0.0381 |
| SAE | Sum of the absolute errors | 1.4202 |
Other Forecasting Options for CarPartsCom
Volatility clustering is a well-documented feature of CarPartsCom Stock price data where periods of large moves tend to follow other large moves. When CarPartsCom's RSI reaches extreme levels, it often precedes a short-term price correction or consolidation. Seasonal patterns in CarPartsCom's returns can persist when driven by structural factors like earnings calendars or index rebalancing.CarPartsCom Related Equities
Investors studying CarPartsCom often look at related stocks within the Consumer Discretionary space to gauge pricing and results. Growth rate gaps between CarPartsCom and its peers often explain pricing differences in the market.
| Risk & Return | Correlation |
CarPartsCom Market Strength Events
Analyzing market strength indicators for CarPartsCom enables investors to understand relative stock momentum. These tools help identify favorable windows for position changes in CarPartsCom. Market strength indicators support more precise timing of CarPartsCom positions across market cycles.
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 0.83 | |||
| Day Typical Price | 0.83 | |||
| Price Action Indicator | -0.0024 | |||
| Period Momentum Indicator | -0.01 |
CarPartsCom Risk Indicators
Identifying and analyzing CarPartsCom's key risk indicators is a foundational step in projecting how its price may evolve. This process involves measuring the level of investment risk in CarPartsCom's and determining how best to manage it. Studying CarPartsCom's risk indicators helps investors understand the risk level of carpartscom stock.
| Mean Deviation | 3.49 | |||
| Semi Deviation | 3.16 | |||
| Standard Deviation | 4.57 | |||
| Variance | 20.84 | |||
| Downside Variance | 18.31 | |||
| Semi Variance | 9.98 | |||
| Expected Short fall | -4.68 |
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 CarPartsCom
Coverage intensity for CarPartsCom matters because narrative visibility can influence sentiment, participation, and volatility around the name. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
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CarPartsCom Short Properties
Reviewing short-oriented indicators for CarPartsCom is useful because long and short participants often create very different signals for timing and volatility. The stronger read compares short sentiment with trend behavior, volume, and the broader market narrative.
| Common Stock Shares Outstanding | 61.2 M | |
| Cash And Short Term Investments | 25.8 M |
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