Gantos Inc Etf Market Value
| GTOS Etf | 25.12 0.02 0.08% |
| Symbol | Gantos |
The market value of Gantos Inc is measured differently than its book value, which is the value of Gantos that is recorded on the company's balance sheet. Investors also form their own opinion of Gantos' value that differs from its market value or its book value, called intrinsic value, which is Gantos' 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 Gantos' market value can be influenced by many factors that don't directly affect Gantos' 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 Gantos' value and its price as these two are different measures arrived at by different means. Investors typically determine if Gantos is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Gantos' 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.
Gantos '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 Gantos' etf 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 Gantos.
| 10/28/2025 |
| 01/26/2026 |
If you would invest 0.00 in Gantos on October 28, 2025 and sell it all today you would earn a total of 0.00 from holding Gantos Inc or generate 0.0% return on investment in Gantos over 90 days. Gantos is related to or competes with Thornburg Core, Goldman Sachs, UST Inc, EA Series, Harbor Health, Calamos ETF, and Intelligent Alpha. More
Gantos 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 Gantos' etf 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 Gantos Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.0524 | |||
| Information Ratio | (1.18) | |||
| Maximum Drawdown | 0.24 | |||
| Value At Risk | (0.04) | |||
| Potential Upside | 0.1195 |
Gantos Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Gantos' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gantos' standard deviation. In reality, there are many statistical measures that can use Gantos historical prices to predict the future Gantos' volatility.| Risk Adjusted Performance | 0.1161 | |||
| Jensen Alpha | 0.0067 | |||
| Total Risk Alpha | 0.0026 | |||
| Sortino Ratio | (1.21) | |||
| Treynor Ratio | 0.5408 |
Gantos January 26, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1161 | |||
| Market Risk Adjusted Performance | 0.5508 | |||
| Mean Deviation | 0.044 | |||
| Downside Deviation | 0.0524 | |||
| Coefficient Of Variation | 301.69 | |||
| Standard Deviation | 0.0535 | |||
| Variance | 0.0029 | |||
| Information Ratio | (1.18) | |||
| Jensen Alpha | 0.0067 | |||
| Total Risk Alpha | 0.0026 | |||
| Sortino Ratio | (1.21) | |||
| Treynor Ratio | 0.5408 | |||
| Maximum Drawdown | 0.24 | |||
| Value At Risk | (0.04) | |||
| Potential Upside | 0.1195 | |||
| Downside Variance | 0.0027 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.07) | |||
| Skewness | 0.388 | |||
| Kurtosis | (0.22) |
Gantos Inc Backtested Returns
Currently, Gantos Inc is very steady. Gantos Inc holds Efficiency (Sharpe) Ratio of 0.33, which attests that the entity had a 0.33 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Gantos Inc, which you can use to evaluate the volatility of the entity. Please check out Gantos' Risk Adjusted Performance of 0.1161, coefficient of variation of 301.69, and Market Risk Adjusted Performance of 0.5508 to validate if the risk estimate we provide is consistent with the expected return of 0.0177%. The etf retains a Market Volatility (i.e., Beta) of 0.0143, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Gantos' returns are expected to increase less than the market. However, during the bear market, the loss of holding Gantos is expected to be smaller as well.
Auto-correlation | 0.85 |
Very good predictability
Gantos Inc has very good predictability. Overlapping area represents the amount of predictability between Gantos time series from 28th of October 2025 to 12th of December 2025 and 12th of December 2025 to 26th 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 Gantos Inc price movement. The serial correlation of 0.85 indicates that around 85.0% of current Gantos price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.85 | |
| Spearman Rank Test | 0.93 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Thematic Opportunities
Explore Investment Opportunities
Check out Gantos Correlation, Gantos Volatility and Gantos Alpha and Beta module to complement your research on Gantos. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Gantos technical etf 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, etf market cycles, or different charting patterns.