Compass Maximum Fund Forecast - Simple Regression

0P0000G368  CAD 43.75  0.53  1.23%   
The Simple Regression forecasted value of Compass Maximum Growth on the next trading day is expected to be 43.00 with a mean absolute deviation of 0.26 and the sum of the absolute errors of 16.24. Compass Fund Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Compass Maximum's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of today, the relative strength index (RSI) of Compass Maximum's share price is approaching 44. This suggests that the fund is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Compass Maximum, making its price go up or down.

Momentum 44

 Sell Extended

 
Oversold
 
Overbought
The successful prediction of Compass Maximum's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Compass Maximum and does not consider all of the tangible or intangible factors available from Compass Maximum's fundamental data. We analyze noise-free headlines and recent hype associated with Compass Maximum Growth, which may create opportunities for some arbitrage if properly timed.
Using Compass Maximum hype-based prediction, you can estimate the value of Compass Maximum Growth from the perspective of Compass Maximum response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Compass Maximum Growth on the next trading day is expected to be 43.00 with a mean absolute deviation of 0.26 and the sum of the absolute errors of 16.24.

Compass Maximum after-hype prediction price

    
  CAD 43.22  
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 fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Compass Maximum to cross-verify your projections.

Compass Maximum Additional Predictive Modules

Most predictive techniques to examine Compass price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Compass using various technical indicators. When you analyze Compass 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through Compass Maximum price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Compass Maximum Simple Regression Price Forecast For the 7th of January

Given 90 days horizon, the Simple Regression forecasted value of Compass Maximum Growth on the next trading day is expected to be 43.00 with a mean absolute deviation of 0.26, mean absolute percentage error of 0.12, and the sum of the absolute errors of 16.24.
Please note that although there have been many attempts to predict Compass Fund 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 Compass Maximum's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Compass Maximum Fund Forecast Pattern

Backtest Compass MaximumCompass Maximum Price PredictionBuy or Sell Advice 

Compass Maximum Forecasted Value

In the context of forecasting Compass Maximum's Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Compass Maximum's downside and upside margins for the forecasting period are 42.42 and 43.58, respectively. We have considered Compass Maximum's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
43.75
43.00
Expected Value
43.58
Upside

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 Compass Maximum fund data series using in forecasting. Note that when a statistical model is used to represent Compass Maximum 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.
AICAkaike Information Criteria117.8604
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2619
MAPEMean absolute percentage error0.0061
SAESum of the absolute errors16.2395
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Compass Maximum Growth historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Compass Maximum

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Compass Maximum Growth. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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.
Hype
Prediction
LowEstimatedHigh
42.6643.2243.78
Details
Intrinsic
Valuation
LowRealHigh
42.5843.1443.70
Details
Bollinger
Band Projection (param)
LowMiddleHigh
42.9443.1543.35
Details

Other Forecasting Options for Compass Maximum

For every potential investor in Compass, whether a beginner or expert, Compass Maximum's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Compass Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Compass. Basic forecasting techniques help filter out the noise by identifying Compass Maximum's price trends.

Compass Maximum 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 Compass Maximum fund to make a market-neutral strategy. Peer analysis of Compass Maximum could also be used in its relative valuation, which is a method of valuing Compass Maximum by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Compass Maximum Growth Technical and Predictive Analytics

The fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Compass Maximum's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Compass Maximum's current price.

Compass Maximum Market Strength Events

Market strength indicators help investors to evaluate how Compass Maximum fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Compass Maximum shares will generate the highest return on investment. By undertsting and applying Compass Maximum fund market strength indicators, traders can identify Compass Maximum Growth entry and exit signals to maximize returns.

Compass Maximum Risk Indicators

The analysis of Compass Maximum'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 Compass Maximum's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting compass fund prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
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.

Pair Trading with Compass Maximum

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Compass Maximum position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Compass Maximum will appreciate offsetting losses from the drop in the long position's value.

Moving together with Compass Fund

  0.760P00012UCU RBC Global EquityPairCorr
  0.80P0000738U RBC Global DividendPairCorr
  0.750P0001C8AE Fidelity Global InnoPairCorr
  0.870P000072UA Invesco Global CompaniesPairCorr
The ability to find closely correlated positions to Compass Maximum could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Compass Maximum when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Compass Maximum - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Compass Maximum Growth to buy it.
The correlation of Compass Maximum is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Compass Maximum moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Compass Maximum Growth moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Compass Maximum can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in Compass Fund

Compass Maximum financial ratios help investors to determine whether Compass Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Compass with respect to the benefits of owning Compass Maximum security.
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