Small Cap Core Fund Technical Analysis
| SCRYX Fund | USD 12.61 0.11 0.88% |
As of the 22nd of January, Small Cap has the Semi Deviation of 0.7073, coefficient of variation of 588.54, and Risk Adjusted Performance of 0.1317. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Small Cap Core, as well as the relationship between them.
Small Cap Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Small, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SmallSmall |
Small Cap '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 Small Cap'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 Small Cap.
| 10/24/2025 |
| 01/22/2026 |
If you would invest 0.00 in Small Cap on October 24, 2025 and sell it all today you would earn a total of 0.00 from holding Small Cap Core or generate 0.0% return on investment in Small Cap over 90 days. Small Cap is related to or competes with William Blair, Lord Abbett, Federated Mid-cap, Tiaa-cref Small-cap, T Rowe, Ab Discovery, and Pace Small/medium. The Portfolio invests, under normal circumstances, at least 80 percent of its net assets in equity securities of small-capitalization companies or other securities or instruments with similar economic characteristics, including derivatives related to equity securities. More
Small Cap 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 Small Cap'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 Small Cap Core upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.11 | |||
| Information Ratio | 0.1167 | |||
| Maximum Drawdown | 14.85 | |||
| Value At Risk | (1.51) | |||
| Potential Upside | 2.15 |
Small Cap Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Small Cap's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Small Cap's standard deviation. In reality, there are many statistical measures that can use Small Cap historical prices to predict the future Small Cap's volatility.| Risk Adjusted Performance | 0.1317 | |||
| Jensen Alpha | 0.1839 | |||
| Total Risk Alpha | 0.0733 | |||
| Sortino Ratio | 0.206 | |||
| Treynor Ratio | 0.2191 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Small Cap'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.
Small Cap January 22, 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 | 0.1317 | |||
| Market Risk Adjusted Performance | 0.2291 | |||
| Mean Deviation | 1.02 | |||
| Semi Deviation | 0.7073 | |||
| Downside Deviation | 1.11 | |||
| Coefficient Of Variation | 588.54 | |||
| Standard Deviation | 1.96 | |||
| Variance | 3.82 | |||
| Information Ratio | 0.1167 | |||
| Jensen Alpha | 0.1839 | |||
| Total Risk Alpha | 0.0733 | |||
| Sortino Ratio | 0.206 | |||
| Treynor Ratio | 0.2191 | |||
| Maximum Drawdown | 14.85 | |||
| Value At Risk | (1.51) | |||
| Potential Upside | 2.15 | |||
| Downside Variance | 1.23 | |||
| Semi Variance | 0.5003 | |||
| Expected Short fall | (1.22) | |||
| Skewness | 4.7 | |||
| Kurtosis | 31.4 |
Small Cap Core Backtested Returns
Small Cap appears to be not too volatile, given 3 months investment horizon. Small Cap Core owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.15, which indicates the fund had a 0.15 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Small Cap Core, which you can use to evaluate the volatility of the fund. Please review Small Cap's Risk Adjusted Performance of 0.1317, semi deviation of 0.7073, and Coefficient Of Variation of 588.54 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 1.47, which indicates 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, Small Cap will likely underperform.
Auto-correlation | 0.18 |
Very weak predictability
Small Cap Core has very weak predictability. Overlapping area represents the amount of predictability between Small Cap time series from 24th of October 2025 to 8th of December 2025 and 8th of December 2025 to 22nd 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 Small Cap Core price movement. The serial correlation of 0.18 indicates that over 18.0% of current Small Cap price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.18 | |
| Spearman Rank Test | 0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
Small Cap 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.
Small Cap Core Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Small Cap Core volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Small Cap 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 Small Cap Core 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 Small Cap Core based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Small Cap Core price pattern first instead of the macroeconomic environment surrounding Small Cap Core. By analyzing Small Cap'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 Small Cap'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 Small Cap specific price patterns or momentum indicators. Please read more on our technical analysis page.
Small Cap January 22, 2026 Technical Indicators
Most technical analysis of Small 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 Small from various momentum indicators to cycle indicators. When you analyze Small 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 | 0.1317 | |||
| Market Risk Adjusted Performance | 0.2291 | |||
| Mean Deviation | 1.02 | |||
| Semi Deviation | 0.7073 | |||
| Downside Deviation | 1.11 | |||
| Coefficient Of Variation | 588.54 | |||
| Standard Deviation | 1.96 | |||
| Variance | 3.82 | |||
| Information Ratio | 0.1167 | |||
| Jensen Alpha | 0.1839 | |||
| Total Risk Alpha | 0.0733 | |||
| Sortino Ratio | 0.206 | |||
| Treynor Ratio | 0.2191 | |||
| Maximum Drawdown | 14.85 | |||
| Value At Risk | (1.51) | |||
| Potential Upside | 2.15 | |||
| Downside Variance | 1.23 | |||
| Semi Variance | 0.5003 | |||
| Expected Short fall | (1.22) | |||
| Skewness | 4.7 | |||
| Kurtosis | 31.4 |
Small Cap Core One Year Return
Based on the recorded statements, Small Cap Core has an One Year Return of 11.1021%. This is 466.41% lower than that of the AllianceBernstein family and significantly higher than that of the Small Blend category. The one year return for all United States funds is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Small Cap January 22, 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 Small 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 | 1.01 | ||
| Day Median Price | 12.61 | ||
| Day Typical Price | 12.61 | ||
| Price Action Indicator | 0.05 |
Other Information on Investing in Small Mutual Fund
Small Cap financial ratios help investors to determine whether Small 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 Small with respect to the benefits of owning Small Cap security.
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