Solid Power Stock Forward View - Polynomial Regression
| SLDP Stock | USD 3.04 -0.12 -3.80% |
The Polynomial Regression forecast reference data for Solid Power is based on the equity's recent trading history. This page summarizes the model output and key accuracy metrics for reference.
The Polynomial Regression forecasted value of Solid Power on the next trading day is expected to be 3.55 with a mean absolute deviation of 0.24 and the sum of the absolute errors of 14.66.A single variable polynomial regression model attempts to put a curve through the Solid Power historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm All Polynomial Regression forecast figures shown for Solid Power are reference data reflecting model output based on available historical prices. Polynomial Regression Price Forecast For the 22nd of March
Given 90 days horizon, the Polynomial Regression forecasted value of Solid Power on the next trading day is expected to be 3.55 with a mean absolute deviation of 0.24 , mean absolute percentage error of 0.08 , and the sum of the absolute errors of 14.66 .Please note that although there have been many attempts to predict Solid 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 Solid Power'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
The next-day forecast for Solid Power focuses on identifying predictive downside and upside bands that can frame a realistic trading range. The projected forecast band currently runs from roughly 0.03 on the downside to about 7.60 on the upside.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Solid Power stock data series using in forecasting. Note that when a statistical model is used to represent Solid 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 | 115.6127 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2403 |
| MAPE | Mean absolute percentage error | 0.0586 |
| SAE | Sum of the absolute errors | 14.6594 |
Other Forecasting Options for Solid Power
Whether a novice or experienced investor, anyone considering Solid needs to understand the dynamics of Solid Power's price movement. Price charts for Solid Stock contain a significant amount of noise that can distort investment decisions.Solid Power Related Equities
The following equities are related to Solid Power within the Industrials space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Solid Power 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 |
Solid Power Market Strength Events
Analyzing market strength indicators for Solid Power enables investors to understand how the stock performs relative to overall market momentum. These indicators are valuable tools for identifying when to enter or exit positions in Solid Power.
Solid Power Risk Indicators
Identifying and analyzing Solid Power's key risk indicators is a foundational step in projecting how its price may evolve. This process quantifies the risk associated with Solid Power's and decide how to manage it.
| Mean Deviation | 3.14 | |||
| Standard Deviation | 4.06 | |||
| Variance | 16.44 |
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 Solid Power
The amount of media and story coverage tied to Solid Power can signal where market attention is concentrating at the moment. The practical risk is that faster visibility can increase both interest and skepticism at the same time.
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Solid Power Short Properties
Reviewing short-oriented indicators for Solid Power is useful because long and short participants often create very different signals for timing and volatility. This is most valuable when investors want to know whether bearish pressure is starting to shape the market's reaction function.
| Common Stock Shares Outstanding | 184.9 M | |
| Cash And Short Term Investments | 251.2 M |
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