Blue Ant Stock Forward View - Triple Exponential Smoothing
| BAMI Stock | 5.75 -0.15 -2.54% |
Blue Ant's Triple Exponential Smoothing 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 Triple Exponential Smoothing forecasted value of Blue Ant Media on the next trading day is expected to be 5.75 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.50.As with simple exponential smoothing, in triple exponential smoothing models past Blue Ant observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Blue Ant Media observations. The Triple Exponential Smoothing reference values for Blue Ant are derived from publicly available price data and should be used for informational purposes only. Triple Exponential Smoothing Price Forecast For the 24th of March
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Blue Ant Media on the next trading day is expected to be 5.75 with a mean absolute deviation of 0.19 , mean absolute percentage error of 0.11 , and the sum of the absolute errors of 11.50 .Please note that although there have been many attempts to predict Blue 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 Blue Ant's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Blue Ant | Blue Ant Price Prediction | Research Analysis |
Forecasted Value
Forecasting Blue Ant Media for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. The current forecast range spans downside near 1.72 and upside near 9.78.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Blue Ant stock data series using in forecasting. Note that when a statistical model is used to represent Blue Ant 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 | 0.0369 |
| MAD | Mean absolute deviation | 0.1949 |
| MAPE | Mean absolute percentage error | 0.0257 |
| SAE | Sum of the absolute errors | 11.5 |
Other Forecasting Options for Blue Ant
Relative Strength Index values for Blue measure the speed and magnitude of recent price changes. Recognizing these clusters in Blue Ant's returns helps calibrate position size and stop-loss levels. Candlestick pattern analysis of Blue Stock daily data can reveal short-term reversal or continuation signals. Identifying these patterns in Blue Stock data supports better trade timing.Blue Ant Related Equities
These stocks are related to Blue Ant within the Entertainment space and can be used for peer review, pricing, or spreading risk. Return on equity across these peers shows how well each firm turns capital into profit.
| Risk & Return | Correlation |
Blue Ant Market Strength Events
Market strength indicators provide a structured view of how Blue Ant stock is positioned relative to trends. These indicators are valuable tools for identifying when to enter or exit positions in Blue Ant Media. Investors tracking Blue Ant can use these signals to validate or adjust their position timing. Review these indicators alongside Blue Ant's fundamental data for a complete analytical picture.
Blue Ant Risk Indicators
The analysis of Blue Ant's risk metrics is one of the most important steps in projecting its future price. This process quantifies the risk associated with Blue Ant's and helps determine how to manage it. A structured analysis of Blue Ant's risk indicators is one of the most reliable ways to improve forecast accuracy. Investors who carefully evaluate the risks in Blue Ant's are better positioned to make informed decisions.
| Mean Deviation | 2.37 | |||
| Standard Deviation | 3.91 | |||
| Variance | 15.26 |
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 Blue Ant
A coverage review of Blue Ant Media shows when the security is attracting above-average attention from contributors and market observers. 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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Blue Ant Short Properties
Short-interest signals around Blue Ant Media can help investors judge whether skeptical positioning is starting to pressure price predictability and market tone. The stronger read compares short sentiment with trend behavior, volume, and the broader market narrative.
| Common Stock Shares Outstanding | 96.9 M | |
| Cash And Short Term Investments | 54.5 M |
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Financial ratios for Blue Ant show relationships between important financial metrics. The format ensures financial data remains comparable across time periods.