Hartford E Mutual Fund Forecast - Simple Regression

HGIYX Fund  USD 55.04  0.40  0.72%   
The Simple Regression forecasted value of Hartford E Equity on the next trading day is expected to be 54.36 with a mean absolute deviation of 1.50 and the sum of the absolute errors of 91.29. Hartford Mutual Fund Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Hartford E's share price is below 20 . This usually indicates that the mutual fund is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Hartford E's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Hartford E Equity, which may create opportunities for some arbitrage if properly timed.
Using Hartford E hype-based prediction, you can estimate the value of Hartford E Equity from the perspective of Hartford E response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Hartford E Equity on the next trading day is expected to be 54.36 with a mean absolute deviation of 1.50 and the sum of the absolute errors of 91.29.

Hartford E after-hype prediction price

    
  USD 55.04  
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 Hartford E to cross-verify your projections.

Hartford E Additional Predictive Modules

Most predictive techniques to examine Hartford price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Hartford using various technical indicators. When you analyze Hartford 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 Hartford E 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.

Hartford E Simple Regression Price Forecast For the 3rd of January

Given 90 days horizon, the Simple Regression forecasted value of Hartford E Equity on the next trading day is expected to be 54.36 with a mean absolute deviation of 1.50, mean absolute percentage error of 3.01, and the sum of the absolute errors of 91.29.
Please note that although there have been many attempts to predict Hartford Mutual 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 Hartford E's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Hartford E Mutual Fund Forecast Pattern

Backtest Hartford EHartford E Price PredictionBuy or Sell Advice 

Hartford E Forecasted Value

In the context of forecasting Hartford E's Mutual 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. Hartford E's downside and upside margins for the forecasting period are 52.58 and 56.13, respectively. We have considered Hartford E'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
55.04
54.36
Expected Value
56.13
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 Hartford E mutual fund data series using in forecasting. Note that when a statistical model is used to represent Hartford E 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.
AICAkaike Information Criteria119.2112
BiasArithmetic mean of the errors None
MADMean absolute deviation1.4966
MAPEMean absolute percentage error0.0296
SAESum of the absolute errors91.29
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 Hartford E Equity 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 Hartford E

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hartford E Equity. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hartford E'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.
Hype
Prediction
LowEstimatedHigh
53.2855.0456.80
Details
Intrinsic
Valuation
LowRealHigh
49.5458.9760.73
Details
Bollinger
Band Projection (param)
LowMiddleHigh
47.2353.0158.80
Details

Other Forecasting Options for Hartford E

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

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

Hartford E Equity Technical and Predictive Analytics

The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Hartford E'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 Hartford E's current price.

Hartford E Market Strength Events

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

Hartford E Risk Indicators

The analysis of Hartford E'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 Hartford E's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hartford mutual 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Information on Investing in Hartford Mutual Fund

Hartford E financial ratios help investors to determine whether Hartford Mutual 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 Hartford with respect to the benefits of owning Hartford E security.
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