Beta Technologies Stock Market Value
| BETA Stock | 25.15 0.03 0.12% |
| Symbol | Beta |
Is Aerospace & Defense 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 Beta Technologies. If investors know Beta 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 Beta Technologies listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Beta Technologies is measured differently than its book value, which is the value of Beta that is recorded on the company's balance sheet. Investors also form their own opinion of Beta Technologies' value that differs from its market value or its book value, called intrinsic value, which is Beta Technologies' 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 Beta Technologies' market value can be influenced by many factors that don't directly affect Beta Technologies' 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 Beta Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine if Beta Technologies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Beta Technologies' 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.
Beta Technologies '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 Beta Technologies' 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 Beta Technologies.
| 10/26/2025 |
| 01/24/2026 |
If you would invest 0.00 in Beta Technologies on October 26, 2025 and sell it all today you would earn a total of 0.00 from holding Beta Technologies or generate 0.0% return on investment in Beta Technologies over 90 days. Beta Technologies is related to or competes with Astronics, Airbus Group, HEICO, GrabAGun Digital, ParaZero Technologies, Sturm Ruger, and Thales SA. More
Beta Technologies 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 Beta Technologies' 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 Beta Technologies upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 17.26 | |||
| Value At Risk | (9.86) | |||
| Potential Upside | 6.76 |
Beta Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Beta Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Beta Technologies' standard deviation. In reality, there are many statistical measures that can use Beta Technologies historical prices to predict the future Beta Technologies' volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.72) | |||
| Total Risk Alpha | (0.98) | |||
| Treynor Ratio | (0.24) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Beta Technologies' 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.
Beta Technologies January 24, 2026 Technical Indicators
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| Math Transform | ||
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| Risk Adjusted Performance | (0.08) | |||
| Market Risk Adjusted Performance | (0.23) | |||
| Mean Deviation | 3.48 | |||
| Coefficient Of Variation | (803.22) | |||
| Standard Deviation | 4.43 | |||
| Variance | 19.66 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (0.72) | |||
| Total Risk Alpha | (0.98) | |||
| Treynor Ratio | (0.24) | |||
| Maximum Drawdown | 17.26 | |||
| Value At Risk | (9.86) | |||
| Potential Upside | 6.76 | |||
| Skewness | (0.26) | |||
| Kurtosis | (0.08) |
Beta Technologies Backtested Returns
Beta Technologies secures Sharpe Ratio (or Efficiency) of -0.12, which signifies that the company had a -0.12 % return per unit of risk over the last 3 months. Beta Technologies exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Beta Technologies' Standard Deviation of 4.43, mean deviation of 3.48, and Risk Adjusted Performance of (0.08) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 2.33, which signifies 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, Beta Technologies will likely underperform. At this point, Beta Technologies has a negative expected return of -0.55%. Please make sure to confirm Beta Technologies' accumulation distribution, and the relationship between the potential upside and day median price , to decide if Beta Technologies performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.28 |
Poor predictability
Beta Technologies has poor predictability. Overlapping area represents the amount of predictability between Beta Technologies time series from 26th of October 2025 to 10th of December 2025 and 10th of December 2025 to 24th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Beta Technologies price movement. The serial correlation of 0.28 indicates that nearly 28.0% of current Beta Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.28 | |
| Spearman Rank Test | 0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 1.96 |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Beta Technologies offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Beta Technologies' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Beta Technologies Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Beta Technologies Stock:Check out Beta Technologies Correlation, Beta Technologies Volatility and Beta Technologies Alpha and Beta module to complement your research on Beta Technologies. For information on how to trade Beta Stock refer to our How to Trade Beta Stock guide.You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
Beta Technologies 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.