Blue Owl Stock Forward View - Triple Exponential Smoothing
| OTF Stock | 13.40 0.14 1.06% |
Blue Stock outlook is based on your current time horizon. We recommend always using this module together with an analysis of Blue Owl's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 30th of January 2026, the value of RSI of Blue Owl's share price is approaching 44. This indicates that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Blue Owl, making its price go up or down. Momentum 44
Sell Extended
Oversold | Overbought |
Using Blue Owl hype-based prediction, you can estimate the value of Blue Owl Technology from the perspective of Blue Owl response to recently generated media hype and the effects of current headlines on its competitors.
The Triple Exponential Smoothing forecasted value of Blue Owl Technology on the next trading day is expected to be 13.36 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.41. Blue Owl after-hype prediction price | USD 13.4 |
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 Blue Owl to cross-verify your projections. Blue Owl Additional Predictive Modules
Most predictive techniques to examine Blue price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Blue using various technical indicators. When you analyze Blue 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 |
Blue Owl Triple Exponential Smoothing Price Forecast For the 31st of January
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Blue Owl Technology on the next trading day is expected to be 13.36 with a mean absolute deviation of 0.19, mean absolute percentage error of 0.06, and the sum of the absolute errors of 11.41.Please note that although there have been many attempts to predict Blue 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 Blue Owl's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Blue Owl Stock Forecast Pattern
| Backtest Blue Owl | Blue Owl Price Prediction | Buy or Sell Advice |
Blue Owl Forecasted Value
In the context of forecasting Blue Owl'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. Blue Owl's downside and upside margins for the forecasting period are 11.71 and 15.01, respectively. We have considered Blue Owl'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 Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Blue Owl stock data series using in forecasting. Note that when a statistical model is used to represent Blue Owl 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 | Huge |
| Bias | Arithmetic mean of the errors | -0.0225 |
| MAD | Mean absolute deviation | 0.1902 |
| MAPE | Mean absolute percentage error | 0.0138 |
| SAE | Sum of the absolute errors | 11.4113 |
Predictive Modules for Blue Owl
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Blue Owl Technology. 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 Blue Owl'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.
Blue Owl After-Hype Price Density Analysis
As far as predicting the price of Blue Owl 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 Blue Owl 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 Blue Owl, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Blue Owl Estimiated After-Hype Price Volatility
In the context of predicting Blue Owl's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Blue Owl's historical news coverage. Blue Owl's after-hype downside and upside margins for the prediction period are 11.76 and 15.04, respectively. We have considered Blue Owl'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
Blue Owl is not too volatile at this time. Analysis and calculation of next after-hype price of Blue Owl Technology is based on 3 months time horizon.
Blue Owl Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Blue Owl is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Blue Owl 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 Blue Owl, 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 |
0.04 | 1.65 | 0.01 | 0.03 | 11 Events / Month | 6 Events / Month | In about 11 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
13.40 | 13.40 | 0.00 |
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Blue Owl Hype Timeline
On the 30th of January Blue Owl Technology is traded for 13.40. The entity has historical hype elasticity of 0.01, and average elasticity to hype of competition of 0.03. Blue is anticipated 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 anticipated to be very small, whereas the daily expected return is now at -0.04%. %. The volatility of related hype on Blue Owl is about 250.0%, with the expected price after the next announcement by competition of 13.43. The company had not issued any dividends in recent years. Considering the 90-day investment horizon the next anticipated press release will be in about 11 days. Check out Historical Fundamental Analysis of Blue Owl to cross-verify your projections.Blue Owl Related Hype Analysis
Having access to credible news sources related to Blue Owl's direct competition is more important than ever and may enhance your ability to predict Blue Owl's future price movements. Getting to know how Blue Owl'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 Blue Owl may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| OBDC | Blue Owl Capital | (0.31) | 14 per month | 0.00 | (0.08) | 1.93 | (1.69) | 6.93 | |
| JHG | Janus Henderson Group | 0.26 | 10 per month | 0.87 | 0.10 | 1.90 | (2.12) | 14.63 | |
| PSEC | Prospect Capital | (0.03) | 9 per month | 1.71 | 0.03 | 4.67 | (3.18) | 11.08 | |
| HLNE | Hamilton Lane | 0.00 | 0 per month | 1.58 | 0.16 | 3.12 | (3.27) | 9.90 | |
| HON | Honeywell International | 2.54 | 6 per month | 0.97 | 0.09 | 2.22 | (1.93) | 5.31 | |
| AMG | Affiliated Managers Group | 6.68 | 9 per month | 0.96 | 0.20 | 3.07 | (2.20) | 10.78 | |
| ATCO | Atlas Corp | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| MAIN | Main Street Capital | 1.71 | 10 per month | 0.94 | 0.12 | 2.60 | (2.07) | 5.67 | |
| PNFP | Pinnacle Financial Partners | (4.18) | 8 per month | 1.53 | 0.04 | 2.99 | (2.01) | 8.67 | |
| MARA | Marathon Digital Holdings | (0.07) | 19 per month | 0.00 | (0.22) | 6.57 | (7.12) | 20.04 |
Other Forecasting Options for Blue Owl
For every potential investor in Blue, whether a beginner or expert, Blue Owl's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Blue Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Blue. Basic forecasting techniques help filter out the noise by identifying Blue Owl's price trends.Blue Owl 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 Blue Owl stock to make a market-neutral strategy. Peer analysis of Blue Owl could also be used in its relative valuation, which is a method of valuing Blue Owl by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Blue Owl Market Strength Events
Market strength indicators help investors to evaluate how Blue Owl stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Blue Owl shares will generate the highest return on investment. By undertsting and applying Blue Owl stock market strength indicators, traders can identify Blue Owl Technology entry and exit signals to maximize returns.
Blue Owl Risk Indicators
The analysis of Blue Owl'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 Blue Owl's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting blue 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 | |||
| Standard Deviation | 1.64 | |||
| Variance | 2.69 |
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 Blue Owl
The number of cover stories for Blue Owl depends on current market conditions and Blue Owl's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Blue Owl 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 Blue Owl's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
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Blue Owl Short Properties
Blue Owl's future price predictability will typically decrease when Blue Owl's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Blue Owl Technology often depends not only on the future outlook of the potential Blue Owl'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. Blue Owl's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 209.8 M | |
| Dividends Paid | 230 M | |
| Cash And Short Term Investments | 257 M |
Check out Historical Fundamental Analysis of Blue Owl to cross-verify your projections. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Can Stock industry sustain growth momentum? Does Blue have expansion opportunities? Factors like these will boost the valuation of Blue Owl. Anticipated expansion of Blue directly elevates investor willingness to pay premium valuations. Determining accurate worth demands scrutiny of both present operating results and projected expansion capacity. Evaluating Blue Owl demands reviewing these metrics collectively while recognizing certain factors exert disproportionate influence.
The market value of Blue Owl Technology is measured differently than its book value, which is the value of Blue that is recorded on the company's balance sheet. Investors also form their own opinion of Blue Owl's value that differs from its market value or its book value, called intrinsic value, which is Blue Owl's true underlying value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Because Blue Owl's market value can be influenced by many factors that don't directly affect Blue Owl's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
It's important to distinguish between Blue Owl's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Blue Owl should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, Blue Owl's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.