James Small Cap Fund Technical Analysis
| JASCX Fund | USD 46.16 0.04 0.09% |
As of the 18th of February 2026, James Small retains the Market Risk Adjusted Performance of 0.231, downside deviation of 0.8245, and Risk Adjusted Performance of 0.1762. James 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.
James 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 James, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to JamesJames |
James 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 James 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 James Small.
| 11/20/2025 |
| 02/18/2026 |
If you would invest 0.00 in James Small on November 20, 2025 and sell it all today you would earn a total of 0.00 from holding James Small Cap or generate 0.0% return on investment in James Small over 90 days. James Small is related to or competes with Toews Tactical, American Beacon, Simt Mid, Simt Mid, Simt Mid, Guggenheim Large, and Baird Smallcap. The fund invests primarily in equity securities of foreign and domestic companies that the Adviser believes are underval... More
James 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 James 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 James Small Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8245 | |||
| Information Ratio | 0.1684 | |||
| Maximum Drawdown | 5.62 | |||
| Value At Risk | (1.45) | |||
| Potential Upside | 2.23 |
James Small Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for James Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as James Small's standard deviation. In reality, there are many statistical measures that can use James Small historical prices to predict the future James Small's volatility.| Risk Adjusted Performance | 0.1762 | |||
| Jensen Alpha | 0.178 | |||
| Total Risk Alpha | 0.1638 | |||
| Sortino Ratio | 0.216 | |||
| Treynor Ratio | 0.221 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of James 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.
James Small February 18, 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 | 0.1762 | |||
| Market Risk Adjusted Performance | 0.231 | |||
| Mean Deviation | 0.7915 | |||
| Semi Deviation | 0.5866 | |||
| Downside Deviation | 0.8245 | |||
| Coefficient Of Variation | 457.63 | |||
| Standard Deviation | 1.06 | |||
| Variance | 1.12 | |||
| Information Ratio | 0.1684 | |||
| Jensen Alpha | 0.178 | |||
| Total Risk Alpha | 0.1638 | |||
| Sortino Ratio | 0.216 | |||
| Treynor Ratio | 0.221 | |||
| Maximum Drawdown | 5.62 | |||
| Value At Risk | (1.45) | |||
| Potential Upside | 2.23 | |||
| Downside Variance | 0.6798 | |||
| Semi Variance | 0.3441 | |||
| Expected Short fall | (0.99) | |||
| Skewness | 0.7002 | |||
| Kurtosis | 1.33 |
James Small Cap Backtested Returns
James Small appears to be very steady, given 3 months investment horizon. James Small Cap holds Efficiency (Sharpe) Ratio of 0.31, which attests that the entity had a 0.31 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for James Small Cap, which you can use to evaluate the volatility of the entity. Please utilize James Small's Downside Deviation of 0.8245, market risk adjusted performance of 0.231, and Risk Adjusted Performance of 0.1762 to validate if our risk estimates are consistent with your expectations. The fund retains a Market Volatility (i.e., Beta) of 1.0, which attests to a somewhat significant risk relative to the market. James Small returns are very sensitive to returns on the market. As the market goes up or down, James Small is expected to follow.
Auto-correlation | 0.71 |
Good predictability
James Small Cap has good predictability. Overlapping area represents the amount of predictability between James Small time series from 20th of November 2025 to 4th of January 2026 and 4th of January 2026 to 18th 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 James Small Cap price movement. The serial correlation of 0.71 indicates that around 71.0% of current James Small price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.71 | |
| Spearman Rank Test | 0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 0.96 |
James 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.
James Small Cap Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of James Small Cap volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About James 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 James 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 James Small Cap based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on James Small Cap price pattern first instead of the macroeconomic environment surrounding James Small Cap. By analyzing James 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 James 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 James Small specific price patterns or momentum indicators. Please read more on our technical analysis page.
James Small February 18, 2026 Technical Indicators
Most technical analysis of James 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 James from various momentum indicators to cycle indicators. When you analyze James 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 | 0.1762 | |||
| Market Risk Adjusted Performance | 0.231 | |||
| Mean Deviation | 0.7915 | |||
| Semi Deviation | 0.5866 | |||
| Downside Deviation | 0.8245 | |||
| Coefficient Of Variation | 457.63 | |||
| Standard Deviation | 1.06 | |||
| Variance | 1.12 | |||
| Information Ratio | 0.1684 | |||
| Jensen Alpha | 0.178 | |||
| Total Risk Alpha | 0.1638 | |||
| Sortino Ratio | 0.216 | |||
| Treynor Ratio | 0.221 | |||
| Maximum Drawdown | 5.62 | |||
| Value At Risk | (1.45) | |||
| Potential Upside | 2.23 | |||
| Downside Variance | 0.6798 | |||
| Semi Variance | 0.3441 | |||
| Expected Short fall | (0.99) | |||
| Skewness | 0.7002 | |||
| Kurtosis | 1.33 |
James Small February 18, 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 James 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 | 46.16 | ||
| Day Typical Price | 46.16 | ||
| Price Action Indicator | (0.02) |
Other Information on Investing in James Mutual Fund
James Small financial ratios help investors to determine whether James 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 James with respect to the benefits of owning James Small security.
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