Hunter Small Cap Fund Technical Analysis
| HSCVX Fund | USD 13.72 0.14 1.01% |
As of the 1st of March, Hunter Small retains the Market Risk Adjusted Performance of 0.1928, downside deviation of 0.7581, and Risk Adjusted Performance of 0.1534. Hunter 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.
Hunter 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 Hunter, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HunterHunter |
Hunter 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 Hunter 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 Hunter Small.
| 12/01/2025 |
| 03/01/2026 |
If you would invest 0.00 in Hunter Small on December 1, 2025 and sell it all today you would earn a total of 0.00 from holding Hunter Small Cap or generate 0.0% return on investment in Hunter Small over 90 days. Hunter Small is related to or competes with Nationwide Gqg, Timothy Plan, Loomis Sayles, Mfs Global, Tax-exempt High, and Frontier Mfg. The fund pursues its objective by investing, under normal circumstances, at least 80 percent of its net assets in a dive... More
Hunter 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 Hunter 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 Hunter Small Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7581 | |||
| Information Ratio | 0.0918 | |||
| Maximum Drawdown | 4.25 | |||
| Value At Risk | (1.08) | |||
| Potential Upside | 1.76 |
Hunter Small Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hunter Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hunter Small's standard deviation. In reality, there are many statistical measures that can use Hunter Small historical prices to predict the future Hunter Small's volatility.| Risk Adjusted Performance | 0.1534 | |||
| Jensen Alpha | 0.0882 | |||
| Total Risk Alpha | 0.0694 | |||
| Sortino Ratio | 0.1012 | |||
| Treynor Ratio | 0.1828 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hunter 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.
Hunter Small March 1, 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 | 0.1534 | |||
| Market Risk Adjusted Performance | 0.1928 | |||
| Mean Deviation | 0.6023 | |||
| Semi Deviation | 0.4914 | |||
| Downside Deviation | 0.7581 | |||
| Coefficient Of Variation | 501.58 | |||
| Standard Deviation | 0.8358 | |||
| Variance | 0.6986 | |||
| Information Ratio | 0.0918 | |||
| Jensen Alpha | 0.0882 | |||
| Total Risk Alpha | 0.0694 | |||
| Sortino Ratio | 0.1012 | |||
| Treynor Ratio | 0.1828 | |||
| Maximum Drawdown | 4.25 | |||
| Value At Risk | (1.08) | |||
| Potential Upside | 1.76 | |||
| Downside Variance | 0.5748 | |||
| Semi Variance | 0.2415 | |||
| Expected Short fall | (0.71) | |||
| Skewness | 0.3816 | |||
| Kurtosis | 0.8775 |
Hunter Small Cap Backtested Returns
At this stage we consider Hunter Mutual Fund to be very steady. Hunter Small Cap holds Efficiency (Sharpe) Ratio of 0.15, which attests that the entity had a 0.15 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Hunter Small Cap, which you can use to evaluate the volatility of the entity. Please check out Hunter Small's Market Risk Adjusted Performance of 0.1928, risk adjusted performance of 0.1534, and Downside Deviation of 0.7581 to validate if the risk estimate we provide is consistent with the expected return of 0.12%. The fund retains a Market Volatility (i.e., Beta) of 0.86, which attests to possible diversification benefits within a given portfolio. Hunter Small returns are very sensitive to returns on the market. As the market goes up or down, Hunter Small is expected to follow.
Auto-correlation | 0.30 |
Below average predictability
Hunter Small Cap has below average predictability. Overlapping area represents the amount of predictability between Hunter Small time series from 1st of December 2025 to 15th of January 2026 and 15th of January 2026 to 1st of March 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 Hunter Small Cap price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current Hunter Small price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.3 | |
| Spearman Rank Test | 0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Hunter 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.
Hunter Small Cap Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Hunter Small Cap across different markets.
About Hunter 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 Hunter 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 Hunter Small Cap based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Hunter Small Cap price pattern first instead of the macroeconomic environment surrounding Hunter Small Cap. By analyzing Hunter 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 Hunter 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 Hunter Small specific price patterns or momentum indicators. Please read more on our technical analysis page.
Hunter Small March 1, 2026 Technical Indicators
Most technical analysis of Hunter 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 Hunter from various momentum indicators to cycle indicators. When you analyze Hunter 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 | 0.1534 | |||
| Market Risk Adjusted Performance | 0.1928 | |||
| Mean Deviation | 0.6023 | |||
| Semi Deviation | 0.4914 | |||
| Downside Deviation | 0.7581 | |||
| Coefficient Of Variation | 501.58 | |||
| Standard Deviation | 0.8358 | |||
| Variance | 0.6986 | |||
| Information Ratio | 0.0918 | |||
| Jensen Alpha | 0.0882 | |||
| Total Risk Alpha | 0.0694 | |||
| Sortino Ratio | 0.1012 | |||
| Treynor Ratio | 0.1828 | |||
| Maximum Drawdown | 4.25 | |||
| Value At Risk | (1.08) | |||
| Potential Upside | 1.76 | |||
| Downside Variance | 0.5748 | |||
| Semi Variance | 0.2415 | |||
| Expected Short fall | (0.71) | |||
| Skewness | 0.3816 | |||
| Kurtosis | 0.8775 |
Hunter Small March 1, 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 Hunter 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 | 0.99 | ||
| Day Median Price | 13.72 | ||
| Day Typical Price | 13.72 | ||
| Price Action Indicator | (0.07) |
Other Information on Investing in Hunter Mutual Fund
Hunter Small financial ratios help investors to determine whether Hunter 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 Hunter with respect to the benefits of owning Hunter Small security.
| Global Correlations Find global opportunities by holding instruments from different markets | |
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |