Hcm Income Mutual Fund Forward View - Triple Exponential Smoothing
| HCMLX Fund | USD 17.34 -0.39 -2.20% |
This reference view applies Triple Exponential Smoothing to Hcm Income Plus's historical closing prices. Hcm Income Plus's Triple Exponential Smoothing reference page summarizes the forecasted price and model accuracy metrics from daily trading data. Hcm Income Plus's forecast reference data is generated from the equity's historical trading prices. Mean absolute deviation and related metrics help quantify forecast uncertainty for Hcm Income Plus.
The Triple Exponential Smoothing forecasted value of Hcm Income Plus on the next trading day is expected to be 17.29 with a mean absolute deviation of 0.17 and the sum of the absolute errors of 9.92.As with simple exponential smoothing, in triple exponential smoothing models past Hcm Income 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 Hcm Income Plus observations. All forecast values on this page for Hcm Income Plus are Triple Exponential Smoothing reference data derived from historical price series. Triple Exponential Smoothing Price Forecast For the 24th of March
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Hcm Income Plus on the next trading day is expected to be 17.29 with a mean absolute deviation of 0.17 , mean absolute percentage error of 0.05 , and the sum of the absolute errors of 9.92 .Please note that although there have been many attempts to predict Hcm 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 Hcm Income's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest Hcm Income | Hcm Income Price Prediction | Research Analysis |
Forecasted Value
Forecasting Hcm Income Plus 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 16.15 and upside around 18.43 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 Hcm Income mutual fund data series using in forecasting. Note that when a statistical model is used to represent Hcm Income 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 | 0.04 |
| MAD | Mean absolute deviation | 0.1681 |
| MAPE | Mean absolute percentage error | 0.0091 |
| SAE | Sum of the absolute errors | 9.9173 |
Other Forecasting Options for Hcm Income
Volume-weighted price analysis for Hcm Mutual Fund gives heavier weight to price levels where trading activity was highest. Crossovers in the MACD line and signal line can identify shifts in Hcm momentum before they appear in raw price. Comparing Hcm Income's realized volatility to implied volatility reveals whether the options market expects larger or smaller moves. Readings above 80 or below 20 highlight potential reversal zones in Hcm Mutual Fund price action.Hcm Income Related Equities
The peer firms below within the Allocation--50% to 70% Equity space can help frame Hcm Income's pricing and running costs in context. Return on equity across these peers shows how well each firm turns capital into profit. Falling behind peers on key ratios may signal headwinds or execution issues worth looking into.
| Risk & Return | Correlation |
Hcm Income Market Strength Events
Evaluating the market strength of Hcm Income mutual fund allows investors to gauge shifts in market momentum. By monitoring these indicators, investors can identify the most opportune moments to trade Hcm Income Plus. These metrics are particularly useful when Hcm Income mutual fund shows divergence from broader market trends. Regularly reviewing Hcm Income Plus strength signals helps maintain a structured approach to position management.
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 17.34 | |||
| Day Typical Price | 17.34 | |||
| Price Action Indicator | -0.20 | |||
| Period Momentum Indicator | -0.39 | |||
| Relative Strength Index | 38.73 |
Hcm Income Risk Indicators
Understanding Hcm Income's risk indicators is essential for any investor seeking to forecast its future price accurately. By identifying how much risk is embedded in Hcm Income's investment, investors can decide how to position their exposure. Reviewing Hcm Income's basic risk indicators is essential for managing investment risk effectively. The risk-return trade-off for hcm mutual fund becomes clearer when Hcm Income's risk indicators are properly assessed.
| Mean Deviation | 0.8547 | |||
| Standard Deviation | 1.13 | |||
| Variance | 1.29 |
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 Hcm Income
The amount of media and story coverage tied to Hcm Income Plus 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.