ALGER SPECTRA Mutual Fund Forward View
| ASPCX Fund | USD 23.20 -0.70 -2.93% |
Alger Spectra Fund's Naive Prediction reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use. The model is fitted to available historical daily prices for ALGER SPECTRA. This page is updated as new daily closing prices become available for ALGER SPECTRA.
The Naive Prediction forecasted value of Alger Spectra Fund on the next trading day is expected to be 22.81 with a mean absolute deviation of 0.27 and the sum of the absolute errors of 16.28.This model is not at all useful as a medium-long range forecasting tool of Alger Spectra Fund. 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 ALGER SPECTRA. 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. All Naive Prediction forecast figures shown for Alger Spectra Fund are reference data reflecting model output based on available historical prices. Naive Prediction Price Forecast For the 24th of March
Given 90 days horizon, the Naive Prediction forecasted value of Alger Spectra Fund on the next trading day is expected to be 22.81 with a mean absolute deviation of 0.27 , mean absolute percentage error of 0.13 , and the sum of the absolute errors of 16.28 .Please note that although there have been many attempts to predict ALGER 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 ALGER SPECTRA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest ALGER SPECTRA | ALGER SPECTRA Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Alger Spectra Fund uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. No forecasting approach has been shown to beat all others over time. Investors should treat any model output as a guide, not a guarantee.
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 ALGER SPECTRA mutual fund data series using in forecasting. Note that when a statistical model is used to represent ALGER SPECTRA 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 | 116.0666 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2669 |
| MAPE | Mean absolute percentage error | 0.0107 |
| SAE | Sum of the absolute errors | 16.2804 |
Other Forecasting Options for ALGER SPECTRA
Bollinger Bands applied to ALGER Mutual Fund price data measure how far ALGER has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to ALGER SPECTRA's price data. On-balance volume for ALGER Mutual Fund creates a running indicator of buying versus selling pressure in ALGER. Price departures from the channel boundary often mean-revert, offering tactical signals for ALGER SPECTRA's.ALGER SPECTRA Related Equities
Checking ALGER SPECTRA against related firms within the Large Growth space helps investors see where the stock stands among peers. Peer review on balance sheet metrics shows how ALGER SPECTRA's capital structure stacks up against similar firms.
| Risk & Return | Correlation |
ALGER SPECTRA Market Strength Events
For investors tracking Alger Spectra Fund, market strength indicators offer quantitative evaluation of mutual fund behavior. By using these indicators, traders can make more informed decisions about when to buy or sell Alger Spectra Fund. These indicators capture shifts in momentum that may precede significant price moves in ALGER SPECTRA. These metrics provide actionable context for both entry and risk management decisions around Alger Spectra Fund.
| Rate Of Daily Change | 0.97 | |||
| Day Median Price | 23.2 | |||
| Day Typical Price | 23.2 | |||
| Price Action Indicator | -0.35 | |||
| Period Momentum Indicator | -0.70 | |||
| Relative Strength Index | 38.24 |
ALGER SPECTRA Risk Indicators
Analyzing ALGER SPECTRA's basic risk indicators provides investors with a structured view of the risk-return trade-off for alger mutual fund. By identifying the level of risk embedded in ALGER SPECTRA's investment, investors can make informed decisions about position sizing. Analyzing ALGER SPECTRA's risk indicators gives investors important context for price forecasting. Understanding the risk in ALGER SPECTRA's investment allows investors to make informed choices about mitigating exposure.
| Mean Deviation | 1.22 | |||
| Semi Deviation | 1.61 | |||
| Standard Deviation | 1.75 | |||
| Variance | 3.05 | |||
| Downside Variance | 2.82 | |||
| Semi Variance | 2.59 | |||
| Expected Short fall | -1.19 |
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 ALGER SPECTRA
Story coverage around Alger Spectra Fund often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. The practical risk is that faster visibility can increase both interest and skepticism at the same time.
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.