Gauzy Ltd Ordinary Stock Market Value
| GAUZ Stock | 0.75 0.03 3.85% |
| Symbol | Gauzy |
Is Electronic Equipment, Instruments & Components 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 Gauzy. Market participants price Gauzy higher when confident in its future expansion prospects. The financial industry is built on trying to define current growth potential and future valuation accurately. Comprehensive Gauzy assessment requires weighing all these inputs, though not all factors influence outcomes equally.
Earnings Share (0.12) | Revenue Per Share | Quarterly Revenue Growth (0.18) | Return On Assets | Return On Equity |
Gauzy Ordinary's market price often diverges from its book value, the accounting figure shown on Gauzy's balance sheet. Smart investors calculate Gauzy's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Since Gauzy's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
Please note, there is a significant difference between Gauzy's value and its price as these two are different measures arrived at by different means. Investors typically determine if Gauzy is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Gauzy'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.
Gauzy '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 Gauzy'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 Gauzy.
| 11/16/2025 |
| 02/14/2026 |
If you would invest 0.00 in Gauzy on November 16, 2025 and sell it all today you would earn a total of 0.00 from holding Gauzy Ltd Ordinary or generate 0.0% return on investment in Gauzy over 90 days. Gauzy is related to or competes with Syntec Optics, Interlink Electronics, Mind Technology, Genasys, Soluna Holdings, Silicom, and Nano Labs. Gauzy is entity of United States. It is traded as Stock on NASDAQ exchange. More
Gauzy 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 Gauzy'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 Gauzy Ltd Ordinary upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 102.16 | |||
| Value At Risk | (17.52) | |||
| Potential Upside | 20.18 |
Gauzy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Gauzy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gauzy's standard deviation. In reality, there are many statistical measures that can use Gauzy historical prices to predict the future Gauzy's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (1.91) | |||
| Total Risk Alpha | (2.85) | |||
| Treynor Ratio | (0.60) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Gauzy'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.
Gauzy February 14, 2026 Technical Indicators
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| Risk Adjusted Performance | (0.08) | |||
| Market Risk Adjusted Performance | (0.59) | |||
| Mean Deviation | 9.66 | |||
| Coefficient Of Variation | (864.13) | |||
| Standard Deviation | 14.94 | |||
| Variance | 223.25 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | (1.91) | |||
| Total Risk Alpha | (2.85) | |||
| Treynor Ratio | (0.60) | |||
| Maximum Drawdown | 102.16 | |||
| Value At Risk | (17.52) | |||
| Potential Upside | 20.18 | |||
| Skewness | 1.22 | |||
| Kurtosis | 5.13 |
Gauzy Ordinary Backtested Returns
Gauzy Ordinary holds Efficiency (Sharpe) Ratio of -0.0427, which attests that the entity had a -0.0427 % return per unit of risk over the last 3 months. Gauzy Ordinary exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Gauzy's Standard Deviation of 14.94, risk adjusted performance of (0.08), and Market Risk Adjusted Performance of (0.59) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 2.9, which attests to 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, Gauzy will likely underperform. At this point, Gauzy Ordinary has a negative expected return of -0.62%. Please make sure to check out Gauzy's treynor ratio and daily balance of power , to decide if Gauzy Ordinary performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.23 |
Weak predictability
Gauzy Ltd Ordinary has weak predictability. Overlapping area represents the amount of predictability between Gauzy time series from 16th of November 2025 to 31st of December 2025 and 31st of December 2025 to 14th of February 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 Gauzy Ordinary price movement. The serial correlation of 0.23 indicates that over 23.0% of current Gauzy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.23 | |
| Spearman Rank Test | 0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
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When running Gauzy's price analysis, check to measure Gauzy'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 Gauzy is operating at the current time. Most of Gauzy's value examination focuses on studying past and present price action to predict the probability of Gauzy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gauzy's price. Additionally, you may evaluate how the addition of Gauzy to your portfolios can decrease your overall portfolio volatility.