Peak Bancorp Pink Sheet Forecast - Polynomial Regression

IDFBDelisted Stock  USD 9.40  0.00  0.00%   
The Polynomial Regression forecasted value of Peak Bancorp on the next trading day is expected to be 9.33 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 12.91. Peak Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Peak Bancorp stock prices and determine the direction of Peak Bancorp's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Peak Bancorp's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Peak Bancorp polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Peak Bancorp as well as the accuracy indicators are determined from the period prices.

Peak Bancorp Polynomial Regression Price Forecast For the 13th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of Peak Bancorp on the next trading day is expected to be 9.33 with a mean absolute deviation of 0.21, mean absolute percentage error of 0.07, and the sum of the absolute errors of 12.91.
Please note that although there have been many attempts to predict Peak Pink Sheet 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 Peak Bancorp's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Peak Bancorp Pink Sheet Forecast Pattern

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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 Peak Bancorp pink sheet data series using in forecasting. Note that when a statistical model is used to represent Peak Bancorp pink sheet, 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 Criteria115.3922
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2116
MAPEMean absolute percentage error0.021
SAESum of the absolute errors12.9072
A single variable polynomial regression model attempts to put a curve through the Peak Bancorp 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 Peak Bancorp

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Peak Bancorp. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
9.409.409.40
Details
Intrinsic
Valuation
LowRealHigh
8.258.2510.34
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Peak Bancorp. Your research has to be compared to or analyzed against Peak Bancorp's peers to derive any actionable benefits. When done correctly, Peak Bancorp's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Peak Bancorp.

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 Risk & Return  Correlation

Peak Bancorp Market Strength Events

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

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.
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 census.
You can also try the Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..

Other Consideration for investing in Peak Pink Sheet

If you are still planning to invest in Peak Bancorp 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 Peak Bancorp's history and understand the potential risks before investing.
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