BMO IN Mutual Fund Forward View - Simple Moving Average
| BTRIX Fund | USD 9.17 -0.07 -0.76% |
The Simple Moving Average forecast shown here for BMO IN is reference data produced from its historical price series. The projected value and error measures below serve as reference information. This data is provided for reference and analytical review. The Simple Moving Average output serves as one input among many for analytical review.
The Simple Moving Average forecasted value of BMO In Retirement Fund on the next trading day is expected to be 9.17 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 0.99.The simple moving average model is conceptually a linear regression of the current value of BMO In Retirement Fund price series against current and previous (unobserved) value of BMO IN. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future This Simple Moving Average reference page for BMO IN presents model-generated projections from historical price data for informational purposes. Simple Moving Average Price Forecast For the 24th of March
Given 90 days horizon, the Simple Moving Average forecasted value of BMO In Retirement Fund on the next trading day is expected to be 9.17 with a mean absolute deviation of 0.02 , mean absolute percentage error of 0.0006 , and the sum of the absolute errors of 0.99 .Please note that although there have been many attempts to predict BMO 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 BMO IN'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
This next-day forecast for BMO In Retirement Fund uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. At the moment, the model places downside around 8.93 and upside around 9.41 for the forecasting period.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of BMO IN mutual fund data series using in forecasting. Note that when a statistical model is used to represent BMO IN 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 | 106.9573 |
| Bias | Arithmetic mean of the errors | 4.0E-4 |
| MAD | Mean absolute deviation | 0.0169 |
| MAPE | Mean absolute percentage error | 0.0018 |
| SAE | Sum of the absolute errors | 0.995 |
Other Forecasting Options for BMO IN
The distribution of BMO IN's daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in BMO IN's chart that simple price charts miss. The slope of BMO IN's linear regression channel quantifies trend direction and strength over a chosen lookback period. Divergences between OBV and price can foreshadow trend changes in BMO.BMO IN Related Equities
These stocks are related to BMO IN within the Intermediate Core Bond space and can be used for peer review, pricing, or spreading risk. Growth rate gaps between BMO IN and its peers often explain pricing differences in the market. Falling behind peers on key ratios may signal headwinds or execution issues worth looking into. Investors should weigh both financial metrics and softer factors when comparing these firms.
| Risk & Return | Correlation |
BMO IN Market Strength Events
Market strength indicators for BMO IN give insight into the mutual fund's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in BMO In Retirement Fund. Market strength analysis for BMO In Retirement Fund works best when combined with volume and volatility data. For BMO IN, strength indicators are a practical complement to price and fundamental analysis.
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 9.17 | |||
| Day Typical Price | 9.17 | |||
| Price Action Indicator | -0.04 | |||
| Period Momentum Indicator | -0.07 | |||
| Relative Strength Index | 38.74 |
BMO IN Risk Indicators
A thorough review of BMO IN's risk indicators is an important first step in forecasting its price. Quantifying the risk involved in BMO IN's allows investors to make better decisions about entry, sizing, and hedging. The assessment of BMO IN's risk indicators plays a key role in managing investment exposure. Identifying the magnitude of risk in BMO IN's provides context to choose between accepting or hedging exposure.
| Mean Deviation | 0.1592 | |||
| Semi Deviation | 0.199 | |||
| Standard Deviation | 0.2306 | |||
| Variance | 0.0532 | |||
| Downside Variance | 0.0851 | |||
| Semi Variance | 0.0396 | |||
| Expected Short fall | -0.24 |
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 BMO IN
Story coverage around BMO In Retirement 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.