One Stop Stock Forecast - Polynomial Regression

OSS Stock  USD 10.51  0.39  3.85%   
One Stock outlook is based on your current time horizon.
The relative strength index (RSI) of One Stop's stock price is slightly above 61. This indicates that the stock is rather overbought by investors at this time. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling One, making its price go up or down.

Momentum 61

 Buy Extended

 
Oversold
 
Overbought
The successful prediction of One Stop'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 One Stop and does not consider all of the tangible or intangible factors available from One Stop's fundamental data. We analyze noise-free headlines and recent hype associated with One Stop Systems, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting One Stop's stock price prediction:
Quarterly Earnings Growth
(0.87)
EPS Estimate Next Quarter
0.05
EPS Estimate Current Year
(0.27)
EPS Estimate Next Year
(0.01)
Wall Street Target Price
9
Using One Stop hype-based prediction, you can estimate the value of One Stop Systems from the perspective of One Stop response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards One Stop using One Stop's stock options and short interest. It helps to benchmark the overall future attitude of investors towards One using crowd psychology based on the activity and movement of One Stop's stock price.

One Stop Short Interest

An investor who is long One Stop may also wish to track short interest. As short interest increases, investors should be becoming more worried about One Stop and may potentially protect profits, hedge One Stop with its derivative instruments, or be ready for some potential downside.
200 Day MA
5.2159
Short Percent
0.0091
Short Ratio
0.33
Shares Short Prior Month
181.7 K
50 Day MA
7.3938

One Relative Strength Index

The Polynomial Regression forecasted value of One Stop Systems on the next trading day is expected to be 11.68 with a mean absolute deviation of 0.66 and the sum of the absolute errors of 40.99.

One Stop Systems Hype to Price Pattern

Investor biases related to One Stop's public news can be used to forecast risks associated with an investment in One. The trend in average sentiment can be used to explain how an investor holding One can time the market purely based on public headlines and social activities around One Stop Systems. 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 One Stop's market sentiment to its price can help taders to make decisions based on the overall investors consensus about One Stop.

One Stop Implied Volatility

    
  1.28  
One Stop's implied volatility exposes the market's sentiment of One Stop Systems stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if One Stop'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 One Stop stock will not fluctuate a lot when One Stop's options are near their expiration.
The Polynomial Regression forecasted value of One Stop Systems on the next trading day is expected to be 11.68 with a mean absolute deviation of 0.66 and the sum of the absolute errors of 40.99.

One Stop after-hype prediction price

    
  USD 10.51  
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 One Stop to cross-verify your projections.

Prediction based on Rule 16 of the current One contract

Based on the Rule 16, the options market is currently suggesting that One Stop Systems will have an average daily up or down price movement of about 0.08% per day over the life of the 2026-03-20 option contract. With One Stop trading at USD 10.51, that is roughly USD 0.008408 . If you think that the market is fully incorporating One Stop's daily price movement you should consider acquiring One Stop Systems options at the current volatility level of 1.28%. But if you have an opposite viewpoint you should avoid it and even consider selling them.

Open Interest Against 2026-03-20 One Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast One Stop'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 One Stop's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for One Stop 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 One Stop's open interest, investors have to compare it to One Stop'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 One Stop 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 One. 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.

One Stop Additional Predictive Modules

Most predictive techniques to examine One price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for One using various technical indicators. When you analyze One 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.
One Stop polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for One Stop Systems as well as the accuracy indicators are determined from the period prices.

One Stop Polynomial Regression Price Forecast For the 29th of January

Given 90 days horizon, the Polynomial Regression forecasted value of One Stop Systems on the next trading day is expected to be 11.68 with a mean absolute deviation of 0.66, mean absolute percentage error of 0.71, and the sum of the absolute errors of 40.99.
Please note that although there have been many attempts to predict One 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 One Stop's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

One Stop Stock Forecast Pattern

Backtest One Stop  One Stop Price Prediction  Buy or Sell Advice  

One Stop Forecasted Value

In the context of forecasting One Stop'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. One Stop's downside and upside margins for the forecasting period are 3.68 and 19.67, respectively. We have considered One Stop'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
10.51
11.68
Expected Value
19.67
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of One Stop stock data series using in forecasting. Note that when a statistical model is used to represent One Stop 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 Criteria119.6108
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6611
MAPEMean absolute percentage error0.0931
SAESum of the absolute errors40.9868
A single variable polynomial regression model attempts to put a curve through the One Stop historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for One Stop

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as One Stop Systems. 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 One Stop'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
2.5710.5118.45
Details
Intrinsic
Valuation
LowRealHigh
1.329.2617.20
Details
Bollinger
Band Projection (param)
LowMiddleHigh
5.268.9712.69
Details
3 Analysts
Consensus
LowTargetHigh
8.199.009.99
Details

One Stop After-Hype Price Density Analysis

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

One Stop Estimiated After-Hype Price Volatility

In the context of predicting One Stop's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on One Stop's historical news coverage. One Stop's after-hype downside and upside margins for the prediction period are 2.57 and 18.45, respectively. We have considered One Stop'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
10.51
10.51
After-hype Price
18.45
Upside
One Stop is relatively risky at this time. Analysis and calculation of next after-hype price of One Stop Systems is based on 3 months time horizon.

One Stop Stock Price Outlook Analysis

Have you ever been surprised when a price of a Company such as One Stop is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading One Stop 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 One Stop, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  1.54 
7.99
  0.82 
  0.71 
11 Events / Month
8 Events / Month
In about 11 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
10.51
10.51
0.00 
1,508  
Notes

One Stop Hype Timeline

On the 28th of January One Stop Systems is traded for 10.51. The entity has historical hype elasticity of -0.82, and average elasticity to hype of competition of 0.71. One 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 1.54%. %. The volatility of related hype on One Stop is about 1736.96%, with the expected price after the next announcement by competition of 11.22. About 15.0% of the company outstanding shares are owned by corporate insiders. The company recorded a loss per share of 0.32. One Stop Systems had not issued any dividends in recent years. Considering the 90-day investment horizon the next projected press release will be in about 11 days.
Check out Historical Fundamental Analysis of One Stop to cross-verify your projections.

One Stop Related Hype Analysis

Having access to credible news sources related to One Stop's direct competition is more important than ever and may enhance your ability to predict One Stop's future price movements. Getting to know how One Stop'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 One Stop 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
INVEIdentiv 0.24 21 per month 0.00 (0.07) 4.99 (5.38) 15.58 
VELOVelo3D 4.90 8 per month 8.53  0.16  24.10 (13.86) 74.12 
MXMagnaChip Semiconductor(0.06)6 per month 3.52 (0) 4.84 (5.86) 18.85 
ASYSAmtech Systems(0.05)14 per month 2.04  0.33  7.51 (2.95) 23.86 
MYPSPlaystudios(0.53)21 per month 0.00 (0.15) 5.26 (7.94) 16.51 
RDZNRoadzen 0.02 8 per month 3.38  0.10  13.74 (5.75) 32.71 
ZENAZenaTech 0.17 10 per month 4.86 (0) 11.75 (7.04) 33.12 
VHCVirnetX Holding Corp(0.05)10 per month 4.63  0.02  8.47 (7.17) 25.58 
KVHIKVH Industries(0.05)31 per month 2.12  0.09  5.24 (3.41) 14.76 
GNSSGenasys 0.01 8 per month 0.00 (0.05) 3.56 (4.62) 16.06 

Other Forecasting Options for One Stop

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

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

One Stop Market Strength Events

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

One Stop Risk Indicators

The analysis of One Stop'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 One Stop's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting one 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 One Stop

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

One Stop Short Properties

One Stop's future price predictability will typically decrease when One Stop's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of One Stop Systems often depends not only on the future outlook of the potential One Stop'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. One Stop's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding21 M
Cash And Short Term Investments10 M

Additional Tools for One Stock Analysis

When running One Stop's price analysis, check to measure One Stop'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 One Stop is operating at the current time. Most of One Stop's value examination focuses on studying past and present price action to predict the probability of One Stop's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move One Stop's price. Additionally, you may evaluate how the addition of One Stop to your portfolios can decrease your overall portfolio volatility.