Canadian Solar Stock Forward View - Polynomial Regression
| CSIQ Stock | USD 14.31 1.05 7.92% |
The Polynomial Regression forecast shown here for Canadian Solar is reference data produced from its historical price series. The projected value and error measures below serve as reference information. This data is provided for reference and analytical review. The Polynomial Regression output serves as one input among many for analytical review.
The Polynomial Regression forecasted value of Canadian Solar on the next trading day is expected to be 13.09 with a mean absolute deviation of 1.07 and the sum of the absolute errors of 65.47.A single variable polynomial regression model attempts to put a curve through the Canadian Solar 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 This Polynomial Regression reference page for Canadian Solar presents model-generated projections from historical price data for informational purposes. Polynomial Regression Price Forecast For the 26th of March
Given 90 days horizon, the Polynomial Regression forecasted value of Canadian Solar on the next trading day is expected to be 13.09 with a mean absolute deviation of 1.07 , mean absolute percentage error of 1.68 , and the sum of the absolute errors of 65.47 .Please note that although there have been many attempts to predict Canadian 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 Canadian Solar's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Canadian Solar | Canadian Solar Price Prediction | Research Analysis |
Forecasted Value
For the next trading day, Macroaxis evaluates Canadian Solar's predictive range by looking for statistically meaningful downside and upside boundaries. At the moment, the model places downside around 7.37 and upside around 18.80 for the forecasting period.
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 Canadian Solar stock data series using in forecasting. Note that when a statistical model is used to represent Canadian Solar 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 | 118.6305 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.0732 |
| MAPE | Mean absolute percentage error | 0.0567 |
| SAE | Sum of the absolute errors | 65.4671 |
Other Forecasting Options for Canadian Solar
The distribution of Canadian Solar's daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in Canadian Solar's chart that simple price charts miss. The slope of Canadian Solar's linear regression channel quantifies trend direction and strength over a chosen lookback period. Divergences between OBV and price can foreshadow trend changes in Canadian.Canadian Solar Related Equities
Checking Canadian Solar against related firms within the Information Technology space helps investors see where the stock stands among peers. Growth rate gaps between Canadian Solar and its peers often explain pricing differences in the market.
| Risk & Return | Correlation |
Canadian Solar Market Strength Events
Market strength indicators for Canadian Solar give insight into the stock's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in Canadian Solar. Market strength analysis for Canadian Solar works best when combined with volume and volatility data. For Canadian Solar, strength indicators are a practical complement to price and fundamental analysis.
| Accumulation Distribution | 238334.0 | |||
| Daily Balance Of Power | 0.8974 | |||
| Rate Of Daily Change | 1.08 | |||
| Day Median Price | 14.01 | |||
| Day Typical Price | 14.11 | |||
| Price Action Indicator | 0.83 | |||
| Period Momentum Indicator | 1.05 |
Canadian Solar Risk Indicators
A thorough review of Canadian Solar's risk indicators is an important first step in forecasting its price. Quantifying the risk involved in Canadian Solar's allows investors to make better decisions about entry, sizing, and hedging. The assessment of Canadian Solar's risk indicators plays a key role in managing investment exposure. Identifying the magnitude of risk in Canadian Solar's provides context to choose between accepting or hedging exposure.
| Mean Deviation | 4.09 | |||
| Standard Deviation | 5.71 | |||
| Variance | 32.62 |
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 Canadian Solar
A coverage review of Canadian Solar shows when the security is attracting above-average attention from contributors and market observers. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
Contributor Headline
Latest Perspective From Macroaxis
Canadian Solar Short Properties
Short sentiment tied to Canadian Solar matters because heavier bearish pressure can change how quickly future price expectations become unstable. The stronger read compares short sentiment with trend behavior, volume, and the broader market narrative.
| Common Stock Shares Outstanding | 67.4 M | |
| Cash And Short Term Investments | 1.9 B |
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