Old Point Stock Forecast - Simple Exponential Smoothing

OPOFDelisted Stock  USD 42.10  1.39  3.41%   
The Simple Exponential Smoothing forecasted value of Old Point Financial on the next trading day is expected to be 42.10 with a mean absolute deviation of 0.35 and the sum of the absolute errors of 20.78. Old Stock Forecast is based on your current time horizon. We recommend 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 19th of January 2026, The value of RSI of Old Point's share price is at 59. This indicates that the stock is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Old Point, making its price go up or down.

Momentum 59

 Buy Extended

 
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 Simple Exponential Smoothing forecasted value of Old Point Financial on the next trading day is expected to be 42.10 with a mean absolute deviation of 0.35 and the sum of the absolute errors of 20.78.

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 metropolitan statistical area.

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.
Old Point simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Old Point Financial are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Old Point Financial prices get older.

Old Point Simple Exponential Smoothing Price Forecast For the 20th of January

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Old Point Financial on the next trading day is expected to be 42.10 with a mean absolute deviation of 0.35, mean absolute percentage error of 0.22, and the sum of the absolute errors of 20.78.
Please note that although there have been many attempts to predict Old 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 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 PointOld Point Price PredictionBuy or Sell Advice 

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing 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 Criteria114.7464
BiasArithmetic mean of the errors -0.0563
MADMean absolute deviation0.3463
MAPEMean absolute percentage error0.0085
SAESum of the absolute errors20.78
This simple exponential smoothing model begins by setting Old Point Financial forecast for the second period equal to the observation of the first period. In other words, recent Old Point observations are given relatively more weight in forecasting than the older observations.

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
39.8241.2142.59
Details

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.

Currently Active Assets on Macroaxis

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 metropolitan statistical area.
You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.

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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