Us Small Cap Etf Technical Analysis
| RUSC Etf | 33.23 0.06 0.18% |
As of the 5th of February, US Small owns the Mean Deviation of 0.7836, risk adjusted performance of 0.1055, and Downside Deviation of 1.02. Concerning fundamental indicators, the technical analysis model makes it possible for you to check potential technical drivers of US Small Cap, as well as the relationship between them.
US 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 RUSC, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to RUSCUS Small's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Investors evaluate US Small Cap using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating US Small's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause US Small's market price to deviate significantly from intrinsic value.
It's important to distinguish between US Small's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding US Small should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, US Small's market price signifies the transaction level at which participants voluntarily complete trades.
US 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 US Small's 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 US Small.
| 11/07/2025 |
| 02/05/2026 |
If you would invest 0.00 in US Small on November 7, 2025 and sell it all today you would earn a total of 0.00 from holding US Small Cap or generate 0.0% return on investment in US Small over 90 days. US Small is related to or competes with Dimensional ETF, Vanguard Small, RBB Fund, First Trust, Vanguard, Vanguard, and Vanguard. US Small is entity of United States. It is traded as Etf on NASDAQ exchange. More
US 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 US Small's 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 US Small Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.02 | |||
| Information Ratio | 0.0775 | |||
| Maximum Drawdown | 4.89 | |||
| Value At Risk | (1.68) | |||
| Potential Upside | 1.69 |
US Small Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for US Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as US Small's standard deviation. In reality, there are many statistical measures that can use US Small historical prices to predict the future US Small's volatility.| Risk Adjusted Performance | 0.1055 | |||
| Jensen Alpha | 0.0737 | |||
| Total Risk Alpha | 0.0581 | |||
| Sortino Ratio | 0.0793 | |||
| Treynor Ratio | 0.1198 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of US 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.
US Small February 5, 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 | 0.1055 | |||
| Market Risk Adjusted Performance | 0.1298 | |||
| Mean Deviation | 0.7836 | |||
| Semi Deviation | 0.8528 | |||
| Downside Deviation | 1.02 | |||
| Coefficient Of Variation | 717.35 | |||
| Standard Deviation | 1.04 | |||
| Variance | 1.09 | |||
| Information Ratio | 0.0775 | |||
| Jensen Alpha | 0.0737 | |||
| Total Risk Alpha | 0.0581 | |||
| Sortino Ratio | 0.0793 | |||
| Treynor Ratio | 0.1198 | |||
| Maximum Drawdown | 4.89 | |||
| Value At Risk | (1.68) | |||
| Potential Upside | 1.69 | |||
| Downside Variance | 1.04 | |||
| Semi Variance | 0.7273 | |||
| Expected Short fall | (0.86) | |||
| Skewness | 0.0574 | |||
| Kurtosis | 0.4173 |
US Small Cap Backtested Returns
At this point, US Small is very steady. US Small Cap retains Efficiency (Sharpe Ratio) of 0.16, which indicates the etf had a 0.16 % return per unit of price deviation over the last 3 months. We have found twenty-nine technical indicators for US Small, which you can use to evaluate the volatility of the etf. Please validate US Small's Mean Deviation of 0.7836, downside deviation of 1.02, and Risk Adjusted Performance of 0.1055 to confirm if the risk estimate we provide is consistent with the expected return of 0.17%. The entity owns a Beta (Systematic Risk) of 1.13, which indicates a somewhat significant risk relative to the market. US Small returns are very sensitive to returns on the market. As the market goes up or down, US Small is expected to follow.
Auto-correlation | 0.79 |
Good predictability
US Small Cap has good predictability. Overlapping area represents the amount of predictability between US Small time series from 7th of November 2025 to 22nd of December 2025 and 22nd of December 2025 to 5th 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 US Small Cap price movement. The serial correlation of 0.79 indicates that around 79.0% of current US Small price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.79 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 0.52 |
US Small 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.
US Small Cap Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 US Small Cap volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About US 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 US 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 US Small Cap based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on US Small Cap price pattern first instead of the macroeconomic environment surrounding US Small Cap. By analyzing US 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 US 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 US Small specific price patterns or momentum indicators. Please read more on our technical analysis page.
US Small February 5, 2026 Technical Indicators
Most technical analysis of RUSC 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 RUSC from various momentum indicators to cycle indicators. When you analyze RUSC 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 | 0.1055 | |||
| Market Risk Adjusted Performance | 0.1298 | |||
| Mean Deviation | 0.7836 | |||
| Semi Deviation | 0.8528 | |||
| Downside Deviation | 1.02 | |||
| Coefficient Of Variation | 717.35 | |||
| Standard Deviation | 1.04 | |||
| Variance | 1.09 | |||
| Information Ratio | 0.0775 | |||
| Jensen Alpha | 0.0737 | |||
| Total Risk Alpha | 0.0581 | |||
| Sortino Ratio | 0.0793 | |||
| Treynor Ratio | 0.1198 | |||
| Maximum Drawdown | 4.89 | |||
| Value At Risk | (1.68) | |||
| Potential Upside | 1.69 | |||
| Downside Variance | 1.04 | |||
| Semi Variance | 0.7273 | |||
| Expected Short fall | (0.86) | |||
| Skewness | 0.0574 | |||
| Kurtosis | 0.4173 |
US Small February 5, 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 RUSC 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 | 59.67 | ||
| Daily Balance Of Power | (0.11) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 33.28 | ||
| Day Typical Price | 33.26 | ||
| Price Action Indicator | (0.08) | ||
| Market Facilitation Index | 0.0002 |
Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in US Small Cap. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Investors evaluate US Small Cap using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating US Small's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause US Small's market price to deviate significantly from intrinsic value.
It's important to distinguish between US Small's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding US Small should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, US Small's market price signifies the transaction level at which participants voluntarily complete trades.