Danone PK OTC Stock Forward View
| DANOY OTC | USD 15.53 -0.13 -0.83% |
Danone PK'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 Danone PK on the next trading day is expected to be 16.15 with a mean absolute deviation of 0.37 and the sum of the absolute errors of 22.85.This model is not at all useful as a medium-long range forecasting tool of Danone PK. 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 Danone PK. 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 Danone PK are derived from publicly available price data and should be used for informational purposes only. Naive Prediction Price Forecast For the 28th of March
Given 90 days horizon, the Naive Prediction forecasted value of Danone PK on the next trading day is expected to be 16.15 with a mean absolute deviation of 0.37 , mean absolute percentage error of 0.19 , and the sum of the absolute errors of 22.85 .Please note that although there have been many attempts to predict Danone OTC 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 Danone PK's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
OTC Stock Forecast Pattern
| Backtest Danone PK | Danone PK Price Prediction | Research Analysis |
Forecasted Value
The next-day forecast for Danone PK focuses on identifying predictive downside and upside bands that can frame a realistic trading range. 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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Danone PK otc stock data series using in forecasting. Note that when a statistical model is used to represent Danone PK otc 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 | 116.4741 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3747 |
| MAPE | Mean absolute percentage error | 0.0226 |
| SAE | Sum of the absolute errors | 22.8548 |
Other Forecasting Options for Danone PK
Relative Strength Index values for Danone measure the speed and magnitude of recent price changes. Recognizing these clusters in Danone PK's returns helps calibrate position size and stop-loss levels. Candlestick pattern analysis of Danone OTC Stock daily data can reveal short-term reversal or continuation signals. Identifying these patterns in Danone OTC Stock data supports better trade timing.Danone PK Related Equities
The stocks listed below are peers of Danone PK within the Consumer Staples space and offer context for ranking and strength. Checking cash flow across this peer set helps gauge Danone PK's relative financial strength. How Danone PK ranks within this group can shift over time as the competitive picture changes. These links can also guide portfolio spreading choices within the sector.
| Risk & Return | Correlation |
Danone PK Market Strength Events
Market strength indicators provide a structured view of how Danone PK otc stock is positioned relative to trends. These indicators are valuable tools for identifying when to enter or exit positions in Danone PK. These signals help validate or refine position timing for Danone PK. Review these indicators alongside Danone PK's fundamental data for a complete analytical picture.
Danone PK Risk Indicators
The analysis of Danone PK's risk metrics is one of the most important steps in projecting its future price. This process quantifies the risk associated with Danone PK's and helps determine how to manage it. A structured analysis of Danone PK's risk indicators is one of the most reliable ways to improve forecast accuracy. Investors who carefully evaluate the risks in Danone PK's are better positioned to make informed decisions.
| Mean Deviation | 1.33 | |||
| Standard Deviation | 1.87 | |||
| Variance | 3.49 |
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 Danone PK
Story coverage around Danone PK 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.
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Key financial relationships within Danone PK are expressed through its ratios. Each ratio adds context around profit, cash flow, and total value.