Heartland Financial Stock Forecast - Polynomial Regression

HTLFDelisted Stock  USD 64.67  2.01  3.01%   
The Polynomial Regression forecasted value of Heartland Financial USA on the next trading day is expected to be 69.98 with a mean absolute deviation of 1.65 and the sum of the absolute errors of 100.48. Heartland Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Heartland Financial's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 10th of January 2026 the value of rsi of Heartland Financial's share price is below 20 . This usually indicates that the stock 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 Heartland Financial'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 Heartland Financial and does not consider all of the tangible or intangible factors available from Heartland Financial's fundamental data. We analyze noise-free headlines and recent hype associated with Heartland Financial USA, which may create opportunities for some arbitrage if properly timed.
Using Heartland Financial hype-based prediction, you can estimate the value of Heartland Financial USA from the perspective of Heartland Financial response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Heartland Financial USA on the next trading day is expected to be 69.98 with a mean absolute deviation of 1.65 and the sum of the absolute errors of 100.48.

Heartland Financial after-hype prediction price

    
  USD 64.67  
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 delisted stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in industry.

Heartland Financial Additional Predictive Modules

Most predictive techniques to examine Heartland price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Heartland using various technical indicators. When you analyze Heartland 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.
Heartland Financial polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Heartland Financial USA as well as the accuracy indicators are determined from the period prices.

Heartland Financial Polynomial Regression Price Forecast For the 11th of January 2026

Given 90 days horizon, the Polynomial Regression forecasted value of Heartland Financial USA on the next trading day is expected to be 69.98 with a mean absolute deviation of 1.65, mean absolute percentage error of 3.83, and the sum of the absolute errors of 100.48.
Please note that although there have been many attempts to predict Heartland 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 Heartland Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Heartland Financial Stock Forecast Pattern

Backtest Heartland FinancialHeartland Financial 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 Heartland Financial stock data series using in forecasting. Note that when a statistical model is used to represent Heartland Financial 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.
AICAkaike Information Criteria119.4542
BiasArithmetic mean of the errors None
MADMean absolute deviation1.6473
MAPEMean absolute percentage error0.0256
SAESum of the absolute errors100.4833
A single variable polynomial regression model attempts to put a curve through the Heartland Financial 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 Heartland Financial

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Heartland Financial USA. 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.
Hype
Prediction
LowEstimatedHigh
64.6764.6764.67
Details
Intrinsic
Valuation
LowRealHigh
54.3954.3971.14
Details
Bollinger
Band Projection (param)
LowMiddleHigh
58.8363.8968.95
Details

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

Heartland Financial Market Strength Events

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

Heartland Financial Risk Indicators

The analysis of Heartland Financial'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 Heartland Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting heartland stock 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.

Currently Active Assets on Macroaxis

Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in industry.
You can also try the CEOs Directory module to screen CEOs from public companies around the world.

Other Consideration for investing in Heartland Stock

If you are still planning to invest in Heartland Financial USA check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Heartland Financial's history and understand the potential risks before investing.
Portfolio Manager
State of the art Portfolio Manager to monitor and improve performance of your invested capital
AI Portfolio Prophet
Use AI to generate optimal portfolios and find profitable investment opportunities
Insider Screener
Find insiders across different sectors to evaluate their impact on performance
Transaction History
View history of all your transactions and understand their impact on performance
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
FinTech Suite
Use AI to screen and filter profitable investment opportunities
Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities
Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities
CEOs Directory
Screen CEOs from public companies around the world