PCB Bancorp Stock Forecast - Naive Prediction

PCB Stock  USD 21.54  0.52  2.36%   
PCB Stock outlook is based on your current time horizon. Investors can use this forecasting interface to forecast PCB Bancorp stock prices and determine the direction of PCB Bancorp's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of PCB Bancorp's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time, the relative strength index (RSI) of PCB Bancorp's share price is approaching 47 indicating that the stock 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 PCB Bancorp, making its price go up or down.

Momentum 47

 Impartial

 
Oversold
 
Overbought
The successful prediction of PCB Bancorp's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with PCB Bancorp, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting PCB Bancorp's stock price prediction:
Quarterly Earnings Growth
0.5
EPS Estimate Next Quarter
0.59
EPS Estimate Current Year
2.56
EPS Estimate Next Year
2.6733
Wall Street Target Price
25.25
Using PCB Bancorp hype-based prediction, you can estimate the value of PCB Bancorp from the perspective of PCB Bancorp response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards PCB Bancorp using PCB Bancorp's stock options and short interest. It helps to benchmark the overall future attitude of investors towards PCB using crowd psychology based on the activity and movement of PCB Bancorp's stock price.

PCB Bancorp Short Interest

A significant increase or decrease in PCB Bancorp's short interest from the previous month could be a good indicator of investor sentiment towards PCB. Short interest can provide insight into the potential direction of PCB Bancorp stock and how bullish or bearish investors feel about the market overall.
200 Day MA
21.0597
Short Percent
0.0174
Short Ratio
8.52
Shares Short Prior Month
166.1 K
50 Day MA
22.1286

PCB Relative Strength Index

The Naive Prediction forecasted value of PCB Bancorp on the next trading day is expected to be 22.29 with a mean absolute deviation of 0.45 and the sum of the absolute errors of 27.18.

PCB Bancorp Hype to Price Pattern

Investor biases related to PCB Bancorp's public news can be used to forecast risks associated with an investment in PCB. The trend in average sentiment can be used to explain how an investor holding PCB can time the market purely based on public headlines and social activities around PCB Bancorp. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of PCB Bancorp's market sentiment to its price can help taders to make decisions based on the overall investors consensus about PCB Bancorp.

PCB Bancorp Implied Volatility

    
  0.92  
PCB Bancorp's implied volatility exposes the market's sentiment of PCB Bancorp stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if PCB Bancorp's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that PCB Bancorp stock will not fluctuate a lot when PCB Bancorp's options are near their expiration.
The Naive Prediction forecasted value of PCB Bancorp on the next trading day is expected to be 22.29 with a mean absolute deviation of 0.45 and the sum of the absolute errors of 27.18.

PCB Bancorp after-hype prediction price

    
  USD 21.54  
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of PCB Bancorp to cross-verify your projections.
For information on how to trade PCB Stock refer to our How to Trade PCB Stock guide.

Prediction based on Rule 16 of the current PCB contract

Based on the Rule 16, the options market is currently suggesting that PCB Bancorp will have an average daily up or down price movement of about 0.0575% per day over the life of the 2026-04-17 option contract. With PCB Bancorp trading at USD 21.54, that is roughly USD 0.0124 . If you think that the market is fully incorporating PCB Bancorp's daily price movement you should consider acquiring PCB Bancorp options at the current volatility level of 0.92%. But if you have an opposite viewpoint you should avoid it and even consider selling them.

Open Interest Against 2026-04-17 PCB Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast PCB Bancorp's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in PCB Bancorp's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for PCB Bancorp stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current PCB Bancorp's open interest, investors have to compare it to PCB Bancorp's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of PCB Bancorp is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in PCB. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.

PCB Bancorp Additional Predictive Modules

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

PCB Bancorp Cash Forecast

Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the PCB Bancorp's financial statements to predict how it will affect future prices.
 
Cash  
First Reported
2004-03-31
Previous Quarter
263.6 M
Current Value
369.5 M
Quarterly Volatility
92.7 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
A naive forecasting model for PCB Bancorp is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of PCB Bancorp value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

PCB Bancorp Naive Prediction Price Forecast For the 30th of January

Given 90 days horizon, the Naive Prediction forecasted value of PCB Bancorp on the next trading day is expected to be 22.29 with a mean absolute deviation of 0.45, mean absolute percentage error of 0.31, and the sum of the absolute errors of 27.18.
Please note that although there have been many attempts to predict PCB 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 PCB Bancorp's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

PCB Bancorp Stock Forecast Pattern

Backtest PCB Bancorp  PCB Bancorp Price Prediction  Buy or Sell Advice  

PCB Bancorp Forecasted Value

In the context of forecasting PCB Bancorp's Stock 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. PCB Bancorp's downside and upside margins for the forecasting period are 20.57 and 24.00, respectively. We have considered PCB Bancorp'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
21.54
22.29
Expected Value
24.00
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of PCB Bancorp stock data series using in forecasting. Note that when a statistical model is used to represent PCB Bancorp 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 Criteria116.9487
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4455
MAPEMean absolute percentage error0.02
SAESum of the absolute errors27.1753
This model is not at all useful as a medium-long range forecasting tool of PCB Bancorp. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict PCB Bancorp. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for PCB 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 PCB Bancorp. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of PCB Bancorp'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
19.8221.5423.26
Details
Intrinsic
Valuation
LowRealHigh
19.3923.6125.33
Details
Bollinger
Band Projection (param)
LowMiddleHigh
21.2021.9522.71
Details
3 Analysts
Consensus
LowTargetHigh
22.9825.2528.03
Details

PCB Bancorp After-Hype Price Density Analysis

As far as predicting the price of PCB Bancorp at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in PCB Bancorp or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of PCB Bancorp, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

PCB Bancorp Estimiated After-Hype Price Volatility

In the context of predicting PCB Bancorp's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on PCB Bancorp's historical news coverage. PCB Bancorp's after-hype downside and upside margins for the prediction period are 19.82 and 23.26, respectively. We have considered PCB Bancorp's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
21.54
21.54
After-hype Price
23.26
Upside
PCB Bancorp is very steady at this time. Analysis and calculation of next after-hype price of PCB Bancorp is based on 3 months time horizon.

PCB Bancorp Stock Price Outlook Analysis

Have you ever been surprised when a price of a Company such as PCB Bancorp is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading PCB Bancorp backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with PCB Bancorp, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.07 
1.72
 0.00  
 0.00  
8 Events / Month
7 Events / Month
In about 8 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
21.54
21.54
0.00 
2,867  
Notes

PCB Bancorp Hype Timeline

On the 29th of January PCB Bancorp is traded for 21.54. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. PCB is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.07%. %. The volatility of related hype on PCB Bancorp is about 2866.67%, with the expected price after the next announcement by competition of 21.54. About 25.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 1.0. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. PCB Bancorp last dividend was issued on the 7th of November 2025. The entity had 11:10 split on the 28th of December 2016. Considering the 90-day investment horizon the next forecasted press release will be in about 8 days.
Check out Historical Fundamental Analysis of PCB Bancorp to cross-verify your projections.
For information on how to trade PCB Stock refer to our How to Trade PCB Stock guide.

PCB Bancorp Related Hype Analysis

Having access to credible news sources related to PCB Bancorp's direct competition is more important than ever and may enhance your ability to predict PCB Bancorp's future price movements. Getting to know how PCB Bancorp's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how PCB Bancorp may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
OBTOrange County Bancorp 0.23 10 per month 1.39  0.14  3.52 (2.65) 8.69 
RBBRBB Bancorp(0.20)8 per month 1.36  0.03  3.37 (2.70) 8.69 
BCMLBayCom Corp(0.47)6 per month 1.47 (0.01) 3.46 (2.78) 9.92 
FMAOFarmers Merchants Bancorp 1.61 8 per month 1.68  0.02  4.61 (3.40) 10.83 
FSBWFS Bancorp(0.09)8 per month 1.27 (0.01) 3.28 (2.12) 12.80 
PLBCPlumas Bancorp(1.13)9 per month 0.72  0.12  3.00 (1.66) 11.73 
MVBFMVB Financial Corp 1.14 12 per month 1.55  0.02  3.46 (2.90) 8.59 
PDLBPonce Financial Group(0.29)9 per month 1.14  0.09  3.50 (2.24) 9.42 
CBANColony Bankcorp(0.06)11 per month 1.14  0.1  2.41 (1.56) 9.02 
FNLCFirst Bancorp(0.14)8 per month 1.24  0.02  3.44 (2.04) 7.07 

Other Forecasting Options for PCB Bancorp

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

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

PCB Bancorp Market Strength Events

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

PCB Bancorp Risk Indicators

The analysis of PCB Bancorp'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 PCB Bancorp's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pcb 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.

Story Coverage note for PCB Bancorp

The number of cover stories for PCB Bancorp depends on current market conditions and PCB Bancorp's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that PCB Bancorp is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about PCB Bancorp's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

PCB Bancorp Short Properties

PCB Bancorp's future price predictability will typically decrease when PCB Bancorp's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of PCB Bancorp often depends not only on the future outlook of the potential PCB Bancorp's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. PCB Bancorp's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding14.3 M
Cash And Short Term Investments345.1 M
When determining whether PCB Bancorp offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of PCB Bancorp's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Pcb Bancorp Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Pcb Bancorp Stock:
Check out Historical Fundamental Analysis of PCB Bancorp to cross-verify your projections.
For information on how to trade PCB Stock refer to our How to Trade PCB Stock guide.
You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
Is Regional Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of PCB Bancorp. Anticipated expansion of PCB directly elevates investor willingness to pay premium valuations. The financial industry is built on trying to define current growth potential and future valuation accurately. Comprehensive PCB Bancorp assessment requires weighing all these inputs, though not all factors influence outcomes equally.
Quarterly Earnings Growth
0.5
Dividend Share
0.78
Earnings Share
2.41
Revenue Per Share
7.569
Quarterly Revenue Growth
0.217
Understanding PCB Bancorp requires distinguishing between market price and book value, where the latter reflects PCB's accounting equity. The concept of intrinsic value—what PCB Bancorp's is actually worth based on fundamentals—guides informed investors toward better entry and exit points. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Market sentiment, economic cycles, and investor behavior can push PCB Bancorp's price substantially above or below its fundamental value.
It's important to distinguish between PCB Bancorp's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding PCB Bancorp should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. In contrast, PCB Bancorp's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.