Old Point Stock Forward View

OPOFDelisted Stock  USD 42.10  1.39  3.41%   
Old Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of Old Point's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 5th of February 2026 the value of rsi of Old Point's share price is below 20 . This 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 Old Point'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 Old Point and does not consider all of the tangible or intangible factors available from Old Point's fundamental data. We analyze noise-free headlines and recent hype associated with Old Point Financial, which may create opportunities for some arbitrage if properly timed.
Using Old Point hype-based prediction, you can estimate the value of Old Point Financial from the perspective of Old Point response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Old Point Financial on the next trading day is expected to be 42.09 with a mean absolute deviation of 0.41 and the sum of the absolute errors of 25.13.

Old Point after-hype prediction price

    
  USD 42.1  
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 Your Equity Center 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 board of governors.

Old Point Additional Predictive Modules

Most predictive techniques to examine Old price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Old using various technical indicators. When you analyze Old 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.
A naive forecasting model for Old Point is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Old Point Financial 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.

Old Point Naive Prediction Price Forecast For the 6th of February

Given 90 days horizon, the Naive Prediction forecasted value of Old Point Financial on the next trading day is expected to be 42.09 with a mean absolute deviation of 0.41, mean absolute percentage error of 0.24, and the sum of the absolute errors of 25.13.
Please note that although there have been many attempts to predict Old Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Old Point's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Old Point Stock Forecast Pattern

Backtest Old Point  Old Point Price Prediction  Research Analysis  

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 Old Point stock data series using in forecasting. Note that when a statistical model is used to represent Old Point 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 Criteria116.6788
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4119
MAPEMean absolute percentage error0.0102
SAESum of the absolute errors25.127
This model is not at all useful as a medium-long range forecasting tool of Old Point Financial. 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 Old Point. 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 Old Point

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Old Point Financial. 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
42.1042.1042.10
Details
Intrinsic
Valuation
LowRealHigh
35.0735.0746.31
Details
Bollinger
Band Projection (param)
LowMiddleHigh
39.3640.7642.17
Details

Old Point After-Hype Price Density Analysis

As far as predicting the price of Old Point 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 Old Point 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 Old Point, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Old Point Estimiated After-Hype Price Volatility

In the context of predicting Old Point's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Old Point's historical news coverage. Old Point's after-hype downside and upside margins for the prediction period are 42.10 and 42.10, respectively. We have considered Old Point'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
42.10
42.10
After-hype Price
42.10
Upside
Old Point is very steady at this time. Analysis and calculation of next after-hype price of Old Point Financial is based on 3 months time horizon.

Old Point Stock Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Old Point is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Old Point 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 Delisted 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 Old Point, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
 0.00  
0.00
 0.00  
 0.00  
0 Events / Month
0 Events / Month
Uncertain
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
42.10
42.10
0.00 
0.00  
Notes

Old Point Hype Timeline

Old Point Financial is now traded for 42.10. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Old 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 insignificant. The immediate return on the next news is estimated to be very small, whereas the daily expected return is now at 0.0%. %. The volatility of related hype on Old Point is about 0.0%, with the expected price after the next announcement by competition of 42.10. About 19.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 1.82. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Old Point Financial last dividend was issued on the 9th of June 2025. The entity had 5:4 split on the 2nd of October 2007. Given the investment horizon of 90 days the next estimated press release will be uncertain.
Check out Your Equity Center 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 board of governors.

Old Point Related Hype Analysis

Having access to credible news sources related to Old Point's direct competition is more important than ever and may enhance your ability to predict Old Point's future price movements. Getting to know how Old Point'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 Old Point may potentially react to the hype associated with one of its peers.

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

Old Point Market Strength Events

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

Story Coverage note for Old Point

The number of cover stories for Old Point depends on current market conditions and Old Point's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Old Point 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 Old Point's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Old Point Short Properties

Old Point's future price predictability will typically decrease when Old Point's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Old Point Financial often depends not only on the future outlook of the potential Old Point'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. Old Point's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding5.1 M
Cash And Short Term Investments358.1 M
Check out Your Equity Center 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 board of governors.
You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.

Other Consideration for investing in Old Stock

If you are still planning to invest in Old Point Financial 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 Old Point's history and understand the potential risks before investing.
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