Technology Munications Mutual Fund Forward View - Simple Moving Average
| STPIX Fund | USD 24.61 -0.31 -1.24% |
The Simple Moving Average forecast shown here for Technology Munications 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 Technology Munications Portfolio on the next trading day is expected to be 24.61 with a mean absolute deviation of 0.26 and the sum of the absolute errors of 15.37.The simple moving average model is conceptually a linear regression of the current value of Technology Munications Portfolio price series against current and previous (unobserved) value of Technology Munications. 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 Technology Munications 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 Technology Munications Portfolio on the next trading day is expected to be 24.61 with a mean absolute deviation of 0.26 , mean absolute percentage error of 0.11 , and the sum of the absolute errors of 15.37 .Please note that although there have been many attempts to predict Technology 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 Technology Munications' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest Technology Munications | Technology Munications Price Prediction | Research Analysis |
Forecasted Value
Forecasting Technology Munications Portfolio 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 23.54 and upside around 25.68 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 Technology Munications mutual fund data series using in forecasting. Note that when a statistical model is used to represent Technology Munications 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 | 112.187 |
| Bias | Arithmetic mean of the errors | 0.0721 |
| MAD | Mean absolute deviation | 0.2606 |
| MAPE | Mean absolute percentage error | 0.0099 |
| SAE | Sum of the absolute errors | 15.375 |
Other Forecasting Options for Technology Munications
The distribution of Technology Munications' daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in Technology Munications' chart that simple price charts miss. The slope of Technology Munications' linear regression channel quantifies trend direction and strength over a chosen lookback period. Divergences between OBV and price can foreshadow trend changes in Technology.Technology Munications Related Equities
These stocks are related to Technology Munications within the Technology space and can be used for peer review, pricing, or spreading risk. Growth rate gaps between Technology Munications and its peers often explain pricing differences in the market.
| Risk & Return | Correlation |
Technology Munications Market Strength Events
Market strength indicators for Technology Munications give insight into the mutual fund's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in Technology Munications Portfolio. Market strength analysis for Technology Munications Portfolio works best when combined with volume and volatility data. For Technology Munications, strength indicators are a practical complement to price and fundamental analysis.
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 24.61 | |||
| Day Typical Price | 24.61 | |||
| Price Action Indicator | -0.16 | |||
| Period Momentum Indicator | -0.31 | |||
| Relative Strength Index | 37.48 |
Technology Munications Risk Indicators
A thorough review of Technology Munications' risk indicators is an important first step in forecasting its price. Quantifying the risk involved in Technology Munications' allows investors to make better decisions about entry, sizing, and hedging. The assessment of Technology Munications' risk indicators plays a key role in managing investment exposure. Identifying the magnitude of risk in Technology Munications' provides context to choose between accepting or hedging exposure.
| Mean Deviation | 0.8649 | |||
| Standard Deviation | 1.09 | |||
| Variance | 1.18 |
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 Technology Munications
The amount of media and story coverage tied to Technology Munications Portfolio 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.