Oxford Square Stock Forecast - Naive Prediction
| OXSQ Stock | USD 1.88 0.02 1.08% |
The Naive Prediction forecasted value of Oxford Square Capital on the next trading day is expected to be 1.91 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.50. Oxford Stock Forecast is based on your current time horizon. Although Oxford Square's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Oxford Square's systematic risk associated with finding meaningful patterns of Oxford Square fundamentals over time.
As of today the relative strength index (rsi) of Oxford Square'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 |
Quarterly Earnings Growth (0.31) | EPS Estimate Next Quarter 0.07 | EPS Estimate Current Year 0.3 | EPS Estimate Next Year 0.28 | Wall Street Target Price 1.75 |
Using Oxford Square hype-based prediction, you can estimate the value of Oxford Square Capital from the perspective of Oxford Square response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Oxford Square using Oxford Square's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Oxford using crowd psychology based on the activity and movement of Oxford Square's stock price.
Oxford Square Implied Volatility | 2.47 |
Oxford Square's implied volatility exposes the market's sentiment of Oxford Square Capital stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Oxford Square'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 Oxford Square stock will not fluctuate a lot when Oxford Square's options are near their expiration.
The Naive Prediction forecasted value of Oxford Square Capital on the next trading day is expected to be 1.91 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.50. Oxford Square after-hype prediction price | USD 1.86 |
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 Oxford Square to cross-verify your projections. Open Interest Against 2026-03-20 Oxford Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Oxford Square'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 Oxford Square's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Oxford Square 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 Oxford Square's open interest, investors have to compare it to Oxford Square'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 Oxford Square 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 Oxford. 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.
Oxford Square Additional Predictive Modules
Most predictive techniques to examine Oxford price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Oxford using various technical indicators. When you analyze Oxford 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Oxford Square Cash Forecast
Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the Oxford Square's financial statements to estimate their effects on upcoming price movements.
Cash | First Reported 2003-12-31 | Previous Quarter 29.8 M | Current Value 50.8 M | Quarterly Volatility 30.5 M |
Oxford Square Naive Prediction Price Forecast For the 24th of January
Given 90 days horizon, the Naive Prediction forecasted value of Oxford Square Capital on the next trading day is expected to be 1.91 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.001, and the sum of the absolute errors of 1.50.Please note that although there have been many attempts to predict Oxford 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 Oxford Square's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Oxford Square Stock Forecast Pattern
| Backtest Oxford Square | Oxford Square Price Prediction | Buy or Sell Advice |
Oxford Square Forecasted Value
In the context of forecasting Oxford Square'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. Oxford Square's downside and upside margins for the forecasting period are 0.21 and 3.61, respectively. We have considered Oxford Square'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.
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 Oxford Square stock data series using in forecasting. Note that when a statistical model is used to represent Oxford Square 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.| AIC | Akaike Information Criteria | 111.1774 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0246 |
| MAPE | Mean absolute percentage error | 0.0138 |
| SAE | Sum of the absolute errors | 1.5024 |
Predictive Modules for Oxford Square
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Oxford Square Capital. 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 Oxford Square'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.
Oxford Square After-Hype Price Prediction Density Analysis
As far as predicting the price of Oxford Square 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 Oxford Square 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 Oxford Square, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Oxford Square Estimiated After-Hype Price Volatility
In the context of predicting Oxford Square's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Oxford Square's historical news coverage. Oxford Square's after-hype downside and upside margins for the prediction period are 0.16 and 3.56, respectively. We have considered Oxford Square'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
Oxford Square is relatively risky at this time. Analysis and calculation of next after-hype price of Oxford Square Capital is based on 3 months time horizon.
Oxford Square Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Oxford Square is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Oxford Square 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 Oxford Square, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.10 | 1.70 | 0.00 | 0.00 | 8 Events / Month | 6 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
1.88 | 1.86 | 0.00 |
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Oxford Square Hype Timeline
Oxford Square Capital is now traded for 1.88. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Oxford is projected 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 projected to be very small, whereas the daily expected return is now at 0.1%. %. The volatility of related hype on Oxford Square is about 42500.0%, with the expected price after the next announcement by competition of 1.88. The company has price-to-book ratio of 0.95. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Oxford Square Capital has Price/Earnings To Growth (PEG) ratio of 1.44. The entity recorded a loss per share of 0.03. The firm last dividend was issued on the 14th of November 2025. Given the investment horizon of 90 days the next projected press release will be in about 8 days. Check out Historical Fundamental Analysis of Oxford Square to cross-verify your projections.Oxford Square Related Hype Analysis
Having access to credible news sources related to Oxford Square's direct competition is more important than ever and may enhance your ability to predict Oxford Square's future price movements. Getting to know how Oxford Square'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 Oxford Square may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| MRCC | Monroe Capital Corp | (0.01) | 9 per month | 1.87 | (0.04) | 2.48 | (3.53) | 8.26 | |
| BCIC | BCP Investment Corp | (0.04) | 8 per month | 1.61 | 0.08 | 2.34 | (2.45) | 8.92 | |
| BANX | Arrowmark Financial Corp | (0.07) | 10 per month | 1.16 | (0.05) | 1.49 | (1.09) | 8.19 | |
| WHF | WhiteHorse Finance | 0.21 | 8 per month | 1.71 | (0.01) | 3.11 | (2.69) | 8.06 | |
| NOAH | Noah Holdings | (0.15) | 32 per month | 1.45 | (0.04) | 3.22 | (2.20) | 8.29 | |
| FLD | Fold Holdings Class | 0.01 | 5 per month | 0.00 | (0.22) | 5.75 | (9.27) | 18.63 | |
| STEX | Streamex Corp | 0.07 | 9 per month | 0.00 | (0.11) | 10.99 | (8.27) | 22.87 | |
| OCCI | OFS Credit | 0.01 | 7 per month | 1.87 | 0.02 | 2.81 | (3.12) | 8.33 | |
| INV | Innventure | (0.07) | 10 per month | 7.30 | 0.04 | 17.85 | (12.34) | 43.34 | |
| LAFAU | LaFayette Acquisition Corp | 0.00 | 5 per month | 0.18 | (0.38) | 0.40 | (0.40) | 1.29 |
Other Forecasting Options for Oxford Square
For every potential investor in Oxford, whether a beginner or expert, Oxford Square's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Oxford Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Oxford. Basic forecasting techniques help filter out the noise by identifying Oxford Square's price trends.Oxford Square 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 Oxford Square stock to make a market-neutral strategy. Peer analysis of Oxford Square could also be used in its relative valuation, which is a method of valuing Oxford Square by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Oxford Square Market Strength Events
Market strength indicators help investors to evaluate how Oxford Square stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Oxford Square shares will generate the highest return on investment. By undertsting and applying Oxford Square stock market strength indicators, traders can identify Oxford Square Capital entry and exit signals to maximize returns.
Oxford Square Risk Indicators
The analysis of Oxford Square'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 Oxford Square's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting oxford 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.
| Mean Deviation | 1.3 | |||
| Semi Deviation | 1.24 | |||
| Standard Deviation | 1.73 | |||
| Variance | 3.0 | |||
| Downside Variance | 2.51 | |||
| Semi Variance | 1.55 | |||
| Expected Short fall | (1.84) |
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 Oxford Square
The number of cover stories for Oxford Square depends on current market conditions and Oxford Square's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Oxford Square 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 Oxford Square's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Oxford Square Short Properties
Oxford Square's future price predictability will typically decrease when Oxford Square's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Oxford Square Capital often depends not only on the future outlook of the potential Oxford Square'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. Oxford Square's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 63.5 M | |
| Cash And Short Term Investments | 34.9 M |
Additional Tools for Oxford Stock Analysis
When running Oxford Square's price analysis, check to measure Oxford Square's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Oxford Square is operating at the current time. Most of Oxford Square's value examination focuses on studying past and present price action to predict the probability of Oxford Square's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Oxford Square's price. Additionally, you may evaluate how the addition of Oxford Square to your portfolios can decrease your overall portfolio volatility.