LCNB Price Pattern Analysis

LCNB Stock  USD 16.43  0.09  0.55%   
In recent trading, momentum metrics show the RSI oscillator of 61 for LCNB, indicating sustained upward pressure. This range suggests continued bullish bias without reaching extreme statistical levels.
Momentum
Buy Extended
 
Oversold
 
Overbought
Analytical models applied to LCNB's future price may yield meaningful insight. The hype and news dimension of LCNB Corporation price forecasting adds context beyond traditional metrics. The hype cycle around LCNB can be quantified and compared to historical sentiment baselines. Fundamental drivers supporting LCNB's price prediction:
 Quarterly Earnings Growth
-4.9%
 EPS Estimate Next Quarter
0.43
 EPS Estimate Current Year
1.68
 EPS Estimate Next Year
1.81
 Wall Street Target Price
17.5
LCNB Corporation's hype profile captures relationships between attention signals and price changes. Peer context reflects variation in attention and price response across the market. LCNB's options data and short interest together paint a picture of market conviction. Options data combined with short interest captures how market participants are positioned.

LCNB Current Signal Summary

LCNB's momentum reading (RSI at 61) sits in bullish territory, while the expected daily return of -0.05% is slightly negative and hype elasticity is slightly negative. Daily volatility at 1.69% is contained, pointing to relatively stable near-term price action. Moderate headline density (8 events/month) reflects steady media coverage. Implied volatility at 1.15% indicates the options market expects relatively contained movement. Overall, signals for LCNB are mixed — momentum is positive but expected returns are negative, suggesting potential divergence.
LCNB Implied Volatility
    
  1.15  
The implied volatility metric for LCNB reflects forward-looking price variability expectations. The implied volatility level provides context for expected price behavior over the near term.
News and social attention around LCNB help frame whether recent price moves are sentiment-driven. Volatility and performance context helps interpret whether attention spikes precede or follow price moves.
LCNB Post-Event Predicted Price
    
  $ 16.17  
Attention context alongside forecasting, technical signals, and analyst estimates adds depth. Earnings views and momentum indicators complement sentiment signals.

Rule 16 Implied Move for Current Options

Rule 16 translates implied volatility into an estimated daily move of roughly 0.0719% for 2026-05-15 options. This figure summarizes expected movement magnitude rather than direction.
Experienced market participants anticipate that LCNB's price will even out over time. Periods when LCNB's deviates significantly from its historical mean may warrant further fundamental analysis. Mean reversion in LCNB's serves as a complement to momentum analysis.
Intrinsic
Valuation
LowIntrinsicHigh
14.5529.6831.37
Details
Naive
Forecast
LowNextHigh
13.5615.2516.94
Details
Analyst
Consensus
LowTargetHigh
15.9317.5019.43
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.440.440.44
Details
Competitive analysis for LCNB compares its financial performance and valuation metrics against sector peers. Cross-sectional comparison separates idiosyncratic performance from sector-level dynamics. LCNB's metrics are most informative when compared against the strongest and weakest performers in its sector.

Post-Sentiment Price Density Analysis

The probability distribution for LCNB shows the range of outcomes the prediction model assigns to future price. The spread of LCNB's distribution is a direct measure of the uncertainty inherent in any forward-looking price model. LCNB's probability distribution reveals that expected value can be achieved through very different combinations of outcomes.
   Next price density   
       Expected price to next headline  

Estimated Post-Sentiment Price Volatility

Historical news analysis for LCNB provides statistically derived price boundaries for the session following a headline. LCNB's post-sentiment downside and upside margins for the prediction period are 14.48 and 17.86, respectively. This approach captures the empirical distribution of LCNB's short-term price reactions.
Current Value
16.43
16.17
Post-Sentiment Price
17.86
This after-hype projection for LCNB Corporation uses a 3 months horizon to examine how price may behave after short-term sentiment effects dissipate. The after-hype estimate is most informative when comparing sentiment-driven price extension with a more measured post-news scenario.

Price Outlook Analysis

The gap between LCNB's price action and its core data is often due to momentum and market mood. Short-term traders and algo systems reacting to LCNB news can build momentum that draws more buyers.
Expected ReturnPeriod VolatilitySentiment SensitivityPeer SensitivityNews DensityPeer DensityNext Expected Sentiment
  0.05 
1.69
 0.00  
  0.01 
8 Events
7 Events
In 8 days
Latest Traded PriceExpected Post-Event PricePotential Return on Next EventPost-Sentiment Volatility
16.43
16.17
0.00 
2,414  
Notes

Market Sentiment Timeline

LCNB is now traded for 16.43. LCNB's price shows low sensitivity to headline-driven sentiment. Peers average a sentiment sensitivity of 0.01. is estimated 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 estimated to be very small, whereas the daily expected return is now at -0.05%. %. The volatility of peer sentiment impact on LCNB is about 1341.27%, with the expected peer-implied price after the next announcement near 16.44. About 40.0% of LCNB shares are owned by institutional investors. LCNB has price-to-book ratio of 0.84. At this Price to Book (P/B), the stock trades at a discount to book that either reflects distressed fundamentals or potential undervaluation. LCNB had its last dividend issued on the 2nd of March 2026. LCNB completed a 2-for-1 stock split on 11th of May 2007. Given a 90-day horizon, the next estimated press release will be in 8 days.
Historical fundamentals from LCNB Basic Forecasting Models provide context for LCNB's projections.

Related Market Sentiment Analysis

Monitoring how LCNB's competitors respond to market-moving news provides a leading indicator for LCNB. Tracking peer market sentiment helps contextualize LCNB's likely short-term price behavior based on sector news flow. Cross-asset sentiment analysis for LCNB captures spillover effects that can be positive tailwinds or negative threat signals.
Sentiment
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
CFFICF Financial-0.34 8 per month 1.96 0.04 3.64 -2.95 9.04
FUNCFirst United 0.25 12 per month 0.00 -0.03 2.40 -2.16 6.53
FVCBFVCBankcorp-0.01 8 per month 1.05 0.05 2.21 -2.03 4.86
ISTRInvestar Holding Corp 0.36 11 per month 1.50 -0.0033 2.06 -2.45 8.43
HWBKHawthorn Bancshares 0.73 7 per month 2.38 0.02 4.14 -4.01 10.31
FSFGFirst Savings Financial 0.84 5 per month 1.29 0.1 2.88 -1.96 9.58
VABKVirginia National Bankshares-0.37 9 per month 1.79 0.02 2.94 -3.50 9.09
OVLYOak Valley Bancorp-0.24 7 per month 1.07 0.07 2.06 -1.99 5.05
BPRNBank Of Princeton 0.10 7 per month 0.00 -0.04 2.98 -2.58 6.46
FCCOFirst Community-0.06 6 per month 1.50 0.03 2.19 -2.70 7.01

LCNB Additional Predictive Modules

LCNB predictive analysis applies quantitative techniques to historical price data, aiming to identify conditions that have preceded similar moves in the past. Combining multiple forecasting approaches can reduce model-specific bias and improve reliability.

Sentiment Indicators & Methodology

Sentiment analysis for LCNB evaluates news tone, positioning, and narrative momentum. Negative tone can pressure pricing and widen dispersion under stress. LCNB has a market cap of 232.78 M, P/E of 11.4, ROE of 8.59%.

LCNB Corporation inputs come from periodic company reporting and market reference feeds and are mapped into a consistent reporting framework. Where analyst coverage exists, consensus estimates are factored in.

Editorial review and methodology oversight provided by: Raphi Shpitalnik, Junior Member of Macroaxis Editorial Board