Ballard Power Stock Forward View

BLDP Stock  CAD 3.49  0.11  3.25%   
Ballard Power's Naive Prediction 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. This information is intended as reference material for analytical purposes.
The Naive Prediction forecasted value of Ballard Power Systems on the next trading day is expected to be 3.53 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.65.This model is not at all useful as a medium-long range forecasting tool of Ballard Power Systems. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Ballard Power. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights. The Naive Prediction reference values for Ballard Power are derived from publicly available price data and should be used for informational purposes only.
A naive forecasting model for Ballard Power is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Ballard Power Systems value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Naive Prediction Price Forecast For the 26th of March

Given 90 days horizon, the Naive Prediction forecasted value of Ballard Power Systems on the next trading day is expected to be 3.53 with a mean absolute deviation of 0.09 , mean absolute percentage error of 0.02 , and the sum of the absolute errors of 5.65 .
Please note that although there have been many attempts to predict Ballard 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 Ballard 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

This next-day forecast for Ballard Power Systems uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. At the moment, the model places downside around 0.02 and upside around 7.05 for the forecasting period.
Market Value
3.49
3.53
Expected Value
7.05
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Ballard Power stock data series using in forecasting. Note that when a statistical model is used to represent Ballard 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.
AICAkaike Information Criteria113.9797
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0927
MAPEMean absolute percentage error0.0296
SAESum of the absolute errors5.6533
This model is not at all useful as a medium-long range forecasting tool of Ballard Power Systems. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Ballard Power. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Other Forecasting Options for Ballard Power

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

Ballard Power Related Equities

The stocks listed below are peers of Ballard Power within the Industrials space and offer context for ranking and strength. Peer review on balance sheet metrics shows how Ballard Power's capital structure stacks up against similar firms. Firms that trade at big discounts to peers on core metrics may be worth more research.
 Risk & Return  Correlation

Ballard Power Market Strength Events

Market strength indicators provide a structured view of how Ballard Power stock is positioned relative to trends. These indicators are valuable tools for identifying when to enter or exit positions in Ballard Power Systems. These signals help validate or refine position timing for Ballard Power. Review these indicators alongside Ballard Power's fundamental data for a complete analytical picture.

Ballard Power Risk Indicators

The analysis of Ballard Power's risk metrics is one of the most important steps in projecting its future price. This process quantifies the risk associated with Ballard Power's and helps determine how to manage it. A structured analysis of Ballard Power's risk indicators is one of the most reliable ways to improve forecast accuracy. Investors who carefully evaluate the risks in Ballard Power's are better positioned to make informed decisions.
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 Ballard Power

Story coverage around Ballard Power Systems often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.

Other Macroaxis Stories

Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.

Ballard Power Short Properties

A short-interest review of Ballard Power Systems provides context for understanding whether skepticism in the market is becoming more influential. A disciplined short-interest review can make timing decisions more informed under rising skepticism.
Common Stock Shares Outstanding303 M
Cash And Short Term Investments530.3 M

More Resources for Ballard Stock Analysis

A broader look at Ballard Power Systems comes from its financial reports and historical data. The data captures Ballard Power's financial activity across reporting cycles.
The Historical Fundamental Analysis of Ballard Power dataset supports cross-verification of projections for Ballard Power.
Ballard Power currently shows ROE of -14.4%, market cap of 1.04 Billion. Investors get more value from Ballard Power analysis when it is combined with the construction and diversification tools listed below. A thorough Ballard Power review pairs this page with the quantitative and comparative resources listed below. You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
Distinguishing between Ballard Power's value and market price helps frame analytical expectations. For Ballard Power, key inputs include a P/B ratio of 1.24, a profit margin of -91.49%, ROE of -14.4%, and revenue of 101.14 M.