Hartford Funds Etf Forecast - Polynomial Regression

ROIS Etf   50.12  0.00  0.00%   
The Polynomial Regression forecasted value of Hartford Funds on the next trading day is expected to be 54.40 with a mean absolute deviation of 0.96 and the sum of the absolute errors of 58.77. Hartford Etf Forecast is based on your current time horizon.
At this time the relative strength momentum indicator of Hartford Funds' share price is below 20 indicating that the etf 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 Funds' 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 Hartford Funds and does not consider all of the tangible or intangible factors available from Hartford Funds' fundamental data. We analyze noise-free headlines and recent hype associated with Hartford Funds, which may create opportunities for some arbitrage if properly timed.
Using Hartford Funds hype-based prediction, you can estimate the value of Hartford Funds from the perspective of Hartford Funds response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Hartford Funds on the next trading day is expected to be 54.40 with a mean absolute deviation of 0.96 and the sum of the absolute errors of 58.77.

Hartford Funds after-hype prediction price

    
  $ 50.12  
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 etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.

Hartford Funds 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.
Hartford Funds polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Hartford Funds as well as the accuracy indicators are determined from the period prices.

Hartford Funds Polynomial Regression Price Forecast For the 18th of January 2026

Given 90 days horizon, the Polynomial Regression forecasted value of Hartford Funds on the next trading day is expected to be 54.40 with a mean absolute deviation of 0.96, mean absolute percentage error of 2.21, and the sum of the absolute errors of 58.77.
Please note that although there have been many attempts to predict Hartford Etf 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 Funds' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Hartford Funds Etf Forecast Pattern

Backtest Hartford FundsHartford Funds Price PredictionBuy or Sell Advice 

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Hartford Funds etf data series using in forecasting. Note that when a statistical model is used to represent Hartford Funds etf, 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 Criteria118.9022
BiasArithmetic mean of the errors None
MADMean absolute deviation0.9635
MAPEMean absolute percentage error0.0187
SAESum of the absolute errors58.7707
A single variable polynomial regression model attempts to put a curve through the Hartford Funds historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Hartford Funds

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 Funds. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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
50.1250.1250.12
Details
Intrinsic
Valuation
LowRealHigh
45.1150.7150.71
Details

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

Hartford Funds Market Strength Events

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

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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When determining whether Hartford Funds is a strong investment it is important to analyze Hartford Funds' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Hartford Funds' future performance. For an informed investment choice regarding Hartford Etf, refer to the following important reports:
Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.
You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
The market value of Hartford Funds is measured differently than its book value, which is the value of Hartford that is recorded on the company's balance sheet. Investors also form their own opinion of Hartford Funds' value that differs from its market value or its book value, called intrinsic value, which is Hartford Funds' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Hartford Funds' market value can be influenced by many factors that don't directly affect Hartford Funds' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Hartford Funds' value and its price as these two are different measures arrived at by different means. Investors typically determine if Hartford Funds is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Hartford Funds' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.