Gmo Small Cap Fund Technical Analysis
| GMAWX Fund | 25.67 0.03 0.12% |
As of the 10th of February, Gmo Small retains the Risk Adjusted Performance of 0.1329, downside deviation of 0.8687, and Market Risk Adjusted Performance of 1.16. Gmo Small technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the entity's future prices.
Gmo Small Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Gmo, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GmoGmo |
Gmo Small '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 Gmo Small's mutual fund 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 Gmo Small.
| 11/12/2025 |
| 02/10/2026 |
If you would invest 0.00 in Gmo Small on November 12, 2025 and sell it all today you would earn a total of 0.00 from holding Gmo Small Cap or generate 0.0% return on investment in Gmo Small over 90 days. Gmo Small is related to or competes with Touchstone Small, Templeton Global, Glg Intl, and Baird Small/mid. The adviser seeks to achieve the funds investment objective by investing the funds assets primarily in equities of U.S More
Gmo Small 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 Gmo Small's mutual fund 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 Gmo Small Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8687 | |||
| Information Ratio | 0.0752 | |||
| Maximum Drawdown | 4.31 | |||
| Value At Risk | (1.44) | |||
| Potential Upside | 2.25 |
Gmo Small Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Gmo Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gmo Small's standard deviation. In reality, there are many statistical measures that can use Gmo Small historical prices to predict the future Gmo Small's volatility.| Risk Adjusted Performance | 0.1329 | |||
| Jensen Alpha | 0.1503 | |||
| Total Risk Alpha | 0.0531 | |||
| Sortino Ratio | 0.0914 | |||
| Treynor Ratio | 1.15 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Gmo Small'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.
Gmo Small February 10, 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 | 0.1329 | |||
| Market Risk Adjusted Performance | 1.16 | |||
| Mean Deviation | 0.8131 | |||
| Semi Deviation | 0.6222 | |||
| Downside Deviation | 0.8687 | |||
| Coefficient Of Variation | 613.64 | |||
| Standard Deviation | 1.06 | |||
| Variance | 1.11 | |||
| Information Ratio | 0.0752 | |||
| Jensen Alpha | 0.1503 | |||
| Total Risk Alpha | 0.0531 | |||
| Sortino Ratio | 0.0914 | |||
| Treynor Ratio | 1.15 | |||
| Maximum Drawdown | 4.31 | |||
| Value At Risk | (1.44) | |||
| Potential Upside | 2.25 | |||
| Downside Variance | 0.7547 | |||
| Semi Variance | 0.3871 | |||
| Expected Short fall | (0.94) | |||
| Skewness | 0.536 | |||
| Kurtosis | 0.0455 |
Gmo Small Cap Backtested Returns
At this stage we consider Gmo Mutual Fund to be very steady. Gmo Small Cap holds Efficiency (Sharpe) Ratio of 0.14, which attests that the entity had a 0.14 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Gmo Small Cap, which you can use to evaluate the volatility of the entity. Please check out Gmo Small's Market Risk Adjusted Performance of 1.16, downside deviation of 0.8687, and Risk Adjusted Performance of 0.1329 to validate if the risk estimate we provide is consistent with the expected return of 0.15%. The fund retains a Market Volatility (i.e., Beta) of 0.14, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Gmo Small's returns are expected to increase less than the market. However, during the bear market, the loss of holding Gmo Small is expected to be smaller as well.
Auto-correlation | 0.69 |
Good predictability
Gmo Small Cap has good predictability. Overlapping area represents the amount of predictability between Gmo Small time series from 12th of November 2025 to 27th of December 2025 and 27th of December 2025 to 10th 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 Gmo Small Cap price movement. The serial correlation of 0.69 indicates that around 69.0% of current Gmo Small price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.49 | |
| Residual Average | 0.0 | |
| Price Variance | 0.41 |
Gmo Small technical mutual fund 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, fund market cycles, or different charting patterns.
Gmo Small Cap Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Gmo Small Cap across different markets.
About Gmo Small Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Gmo Small Cap on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Gmo Small Cap based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Gmo Small Cap price pattern first instead of the macroeconomic environment surrounding Gmo Small Cap. By analyzing Gmo Small's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Gmo Small's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Gmo Small specific price patterns or momentum indicators. Please read more on our technical analysis page.
Gmo Small February 10, 2026 Technical Indicators
Most technical analysis of Gmo help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Gmo from various momentum indicators to cycle indicators. When you analyze Gmo charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | 0.1329 | |||
| Market Risk Adjusted Performance | 1.16 | |||
| Mean Deviation | 0.8131 | |||
| Semi Deviation | 0.6222 | |||
| Downside Deviation | 0.8687 | |||
| Coefficient Of Variation | 613.64 | |||
| Standard Deviation | 1.06 | |||
| Variance | 1.11 | |||
| Information Ratio | 0.0752 | |||
| Jensen Alpha | 0.1503 | |||
| Total Risk Alpha | 0.0531 | |||
| Sortino Ratio | 0.0914 | |||
| Treynor Ratio | 1.15 | |||
| Maximum Drawdown | 4.31 | |||
| Value At Risk | (1.44) | |||
| Potential Upside | 2.25 | |||
| Downside Variance | 0.7547 | |||
| Semi Variance | 0.3871 | |||
| Expected Short fall | (0.94) | |||
| Skewness | 0.536 | |||
| Kurtosis | 0.0455 |
Gmo Small February 10, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Gmo stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 25.67 | ||
| Day Typical Price | 25.67 | ||
| Price Action Indicator | 0.02 |
Other Information on Investing in Gmo Mutual Fund
Gmo Small financial ratios help investors to determine whether Gmo Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Gmo with respect to the benefits of owning Gmo Small security.
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios |