QUANTIFIED MARKET Mutual Fund Forward View - Triple Exponential Smoothing
| QMLAX Fund | USD 10.71 -0.17 -1.56% |
This reference page presents Triple Exponential Smoothing forecast data for Quantified Market Leaders. The model output shown here is derived from QUANTIFIED MARKET's historical price series and is provided for informational purposes.
The Triple Exponential Smoothing forecasted value of Quantified Market Leaders on the next trading day is expected to be 10.67 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.22.As with simple exponential smoothing, in triple exponential smoothing models past QUANTIFIED MARKET 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 Quantified Market Leaders observations. This Triple Exponential Smoothing forecast data for Quantified Market Leaders is sourced from the most recent available trading data and is intended solely as reference information. Triple Exponential Smoothing Price Forecast For the 22nd of March
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Quantified Market Leaders on the next trading day is expected to be 10.67 with a mean absolute deviation of 0.11 , mean absolute percentage error of 0.02 , and the sum of the absolute errors of 6.22 .Please note that although there have been many attempts to predict QUANTIFIED 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 QUANTIFIED MARKET's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
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Forecasted Value
Forecasting Quantified Market Leaders 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 9.44 and upside around 11.90 for the forecasting period.
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 QUANTIFIED MARKET mutual fund data series using in forecasting. Note that when a statistical model is used to represent QUANTIFIED MARKET 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 | 0.0269 |
| MAD | Mean absolute deviation | 0.1055 |
| MAPE | Mean absolute percentage error | 0.0093 |
| SAE | Sum of the absolute errors | 6.2246 |
Other Forecasting Options for QUANTIFIED MARKET
For every potential investor in QUANTIFIED, whether a beginner or expert, QUANTIFIED MARKET's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better.QUANTIFIED MARKET Related Equities
The following equities are related to QUANTIFIED MARKET within the Tactical Allocation space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing QUANTIFIED MARKET against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
QUANTIFIED MARKET Market Strength Events
Market strength indicators help investors to evaluate how QUANTIFIED MARKET mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading QUANTIFIED MARKET shares will generate the highest return on.
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 10.71 | |||
| Day Typical Price | 10.71 | |||
| Price Action Indicator | -0.09 | |||
| Period Momentum Indicator | -0.17 |
QUANTIFIED MARKET Risk Indicators
The analysis of QUANTIFIED MARKET's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in QUANTIFIED MARKET's investment and either accepting that risk or mitigating it.
| Mean Deviation | 0.9294 | |||
| Standard Deviation | 1.23 | |||
| Variance | 1.51 |
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 QUANTIFIED MARKET
Coverage intensity for Quantified Market Leaders matters because narrative visibility can influence sentiment, participation, and volatility around the name. A disciplined read of coverage separates durable relevance from temporary noise.
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