Oblong Inc Stock Market Value
| OBLG Stock | USD 2.66 0.07 2.56% |
| Symbol | Oblong |
Oblong Inc Price To Book Ratio
Is Application Software space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Oblong. If investors know Oblong will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Oblong listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.46) | Earnings Share (12.39) | Revenue Per Share | Quarterly Revenue Growth (0.03) | Return On Assets |
The market value of Oblong Inc is measured differently than its book value, which is the value of Oblong that is recorded on the company's balance sheet. Investors also form their own opinion of Oblong's value that differs from its market value or its book value, called intrinsic value, which is Oblong's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Oblong's market value can be influenced by many factors that don't directly affect Oblong's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Oblong's value and its price as these two are different measures arrived at by different means. Investors typically determine if Oblong is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Oblong's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Oblong 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Oblong's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Oblong.
| 06/29/2025 |
| 09/27/2025 |
If you would invest 0.00 in Oblong on June 29, 2025 and sell it all today you would earn a total of 0.00 from holding Oblong Inc or generate 0.0% return on investment in Oblong over 90 days. Oblong is related to or competes with X3 Holdings, Oneconnect Financial, Trust Stamp, Amesite Operating, My Size, and MetaVia. Oblong Inc., together with its subsidiaries, provides multi-stream collaboration technologies and managed services for v... More
Oblong Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Oblong's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Oblong Inc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 33.41 | |||
| Value At Risk | (8.13) | |||
| Potential Upside | 13.44 |
Oblong Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oblong's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oblong's standard deviation. In reality, there are many statistical measures that can use Oblong historical prices to predict the future Oblong's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.45) | |||
| Total Risk Alpha | (1.21) | |||
| Treynor Ratio | (0.04) |
Oblong Inc Backtested Returns
Oblong Inc maintains Sharpe Ratio (i.e., Efficiency) of -0.0554, which implies the firm had a -0.0554 % return per unit of risk over the last 3 months. Oblong Inc exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Oblong's Variance of 43.95, coefficient of variation of (6,188), and insignificant Risk Adjusted Performance to confirm the risk estimate we provide. The company holds a Beta of 3.25, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Oblong will likely underperform. At this point, Oblong Inc has a negative expected return of -0.35%. Please make sure to check Oblong's maximum drawdown, as well as the relationship between the accumulation distribution and day typical price , to decide if Oblong Inc performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.12 |
Insignificant predictability
Oblong Inc has insignificant predictability. Overlapping area represents the amount of predictability between Oblong time series from 29th of June 2025 to 13th of August 2025 and 13th of August 2025 to 27th of September 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Oblong Inc price movement. The serial correlation of 0.12 indicates that less than 12.0% of current Oblong price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.12 | |
| Spearman Rank Test | 0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
Oblong Inc lagged returns against current returns
Autocorrelation, which is Oblong stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Oblong's stock expected returns. We can calculate the autocorrelation of Oblong returns to help us make a trade decision. For example, suppose you find that Oblong has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Oblong regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Oblong stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oblong stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Oblong stock over time.
Current vs Lagged Prices |
| Timeline |
Oblong Lagged Returns
When evaluating Oblong's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oblong stock have on its future price. Oblong autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Oblong autocorrelation shows the relationship between Oblong stock current value and its past values and can show if there is a momentum factor associated with investing in Oblong Inc.
Regressed Prices |
| Timeline |
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Check out Oblong Correlation, Oblong Volatility and Oblong Alpha and Beta module to complement your research on Oblong. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Oblong technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.