FIRST MUTUAL Stock Forecast - Simple Regression
| FML Stock | 225.00 26.05 13.09% |
Momentum 0
Sell Peaked
Oversold | Overbought |
Using FIRST MUTUAL hype-based prediction, you can estimate the value of FIRST MUTUAL HOLDINGS from the perspective of FIRST MUTUAL response to recently generated media hype and the effects of current headlines on its competitors.
FIRST MUTUAL after-hype prediction price | ZWL 0.0 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
FIRST |
FIRST MUTUAL Additional Predictive Modules
Most predictive techniques to examine FIRST price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for FIRST using various technical indicators. When you analyze FIRST charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
FIRST MUTUAL Simple Regression Price Forecast For the 3rd of January
Given 90 days horizon, the Simple Regression forecasted value of FIRST MUTUAL HOLDINGS on the next trading day is expected to be 153.54 with a mean absolute deviation of 41.60, mean absolute percentage error of 2,398, and the sum of the absolute errors of 2,537.Please note that although there have been many attempts to predict FIRST Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that FIRST MUTUAL's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
FIRST MUTUAL Stock Forecast Pattern
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of FIRST MUTUAL stock data series using in forecasting. Note that when a statistical model is used to represent FIRST MUTUAL stock, 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 | 125.8931 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 41.5951 |
| MAPE | Mean absolute percentage error | 0.2663 |
| SAE | Sum of the absolute errors | 2537.3041 |
Predictive Modules for FIRST MUTUAL
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as FIRST MUTUAL HOLDINGS. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of FIRST MUTUAL's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
FIRST MUTUAL Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with FIRST MUTUAL stock to make a market-neutral strategy. Peer analysis of FIRST MUTUAL could also be used in its relative valuation, which is a method of valuing FIRST MUTUAL by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
FIRST MUTUAL Market Strength Events
Market strength indicators help investors to evaluate how FIRST MUTUAL stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading FIRST MUTUAL shares will generate the highest return on investment. By undertsting and applying FIRST MUTUAL stock market strength indicators, traders can identify FIRST MUTUAL HOLDINGS entry and exit signals to maximize returns.
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