BlackRock Advantage Mutual Fund Forward View - Double Exponential Smoothing
| BDSKX Fund | USD 20.26 -0.37 -1.79% |
This page documents Double Exponential Smoothing forecast output for BlackRock Advantage Small as reference data. The model is applied to historical closing prices and the resulting projection and error statistics are shown below. Key metrics including projected price and mean absolute deviation are summarized below.
The Double Exponential Smoothing forecasted value of BlackRock Advantage Small on the next trading day is expected to be 20.35 with a mean absolute deviation of 0.23 and the sum of the absolute errors of 13.40.When BlackRock Advantage Small prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any BlackRock Advantage Small trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent BlackRock Advantage observations are given relatively more weight in forecasting than the older observations. BlackRock Advantage's Double Exponential Smoothing reference values are drawn from available trading data and are presented for informational reference only. Double Exponential Smoothing Price Forecast For the 27th of March
Given 90 days horizon, the Double Exponential Smoothing forecasted value of BlackRock Advantage Small on the next trading day is expected to be 20.35 with a mean absolute deviation of 0.23 , mean absolute percentage error of 0.08 , and the sum of the absolute errors of 13.40 .Please note that although there have been many attempts to predict BlackRock Mutual Fund 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 BlackRock Advantage's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest BlackRock Advantage | BlackRock Advantage Price Prediction | Research Analysis |
Forecasted Value
Forecasting BlackRock Advantage Small for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. At the moment, the model places downside around 19.11 and upside around 21.59 for the forecasting period.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of BlackRock Advantage mutual fund data series using in forecasting. Note that when a statistical model is used to represent BlackRock Advantage mutual fund, 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 | -0.0257 |
| MAD | Mean absolute deviation | 0.2271 |
| MAPE | Mean absolute percentage error | 0.0109 |
| SAE | Sum of the absolute errors | 13.3979 |
Other Forecasting Options for BlackRock Advantage
MACD analysis of BlackRock tracks the relationship between two exponential moving averages of BlackRock Advantage's price. Many BlackRock Advantage's traders use Fibonacci levels to set entry and exit targets based on prior price swings. Average True Range measures the typical daily price swing for BlackRock, accounting for gaps.BlackRock Advantage Related Equities
These related stocks within the Small Blend space give benchmarks for judging BlackRock Advantage's results, margins, and growth trend. Peer review on balance sheet metrics shows how BlackRock Advantage's capital structure stacks up against similar firms. Peer review is most useful when paired with absolute pricing and trend checks.
| Risk & Return | Correlation |
BlackRock Advantage Market Strength Events
Market strength indicators for BlackRock Advantage assess how the mutual fund responds to changes in investor sentiment. These signals support informed decisions about when to enter or exit BlackRock Advantage Small positions. Market strength signals help investors time BlackRock Advantage Small positions with greater precision and confidence.
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 20.26 | |||
| Day Typical Price | 20.26 | |||
| Price Action Indicator | -0.18 | |||
| Period Momentum Indicator | -0.37 | |||
| Relative Strength Index | 36.34 |
BlackRock Advantage Risk Indicators
Risk indicator analysis for BlackRock Advantage is a critical component of accurate price forecasting. Identifying and quantifying the risks associated with BlackRock Advantage's allows investors to make better-informed decisions. Understanding BlackRock Advantage's risk indicators is a fundamental step in managing investment exposure responsibly.
| Mean Deviation | 0.9566 | |||
| Semi Deviation | 1.21 | |||
| Standard Deviation | 1.21 | |||
| Variance | 1.47 | |||
| Downside Variance | 1.6 | |||
| Semi Variance | 1.46 | |||
| Expected Short fall | -1.00 |
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 BlackRock Advantage
The amount of media and story coverage tied to BlackRock Advantage Small can signal where market attention is concentrating at the moment. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
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.