Icm Small Pany Fund Technical Analysis
| ICSCX Fund | USD 32.58 0.54 1.63% |
As of the 14th of February 2026, Icm Small retains the Market Risk Adjusted Performance of 0.987, downside deviation of 0.8641, and Risk Adjusted Performance of 0.1891. Icm 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.
Icm 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 Icm, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to IcmIcm |
Icm 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 Icm 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 Icm Small.
| 11/16/2025 |
| 02/14/2026 |
If you would invest 0.00 in Icm Small on November 16, 2025 and sell it all today you would earn a total of 0.00 from holding Icm Small Pany or generate 0.0% return on investment in Icm Small over 90 days. Icm Small is related to or competes with William Blair, William Blair, Small Cap, Queens Road, Blackrock Small/mid, Heartland Value, and Prudential Balanced. Under normal market conditions, the fund invests at least 80 percent of its net assets in equity securities of small cap... More
Icm 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 Icm 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 Icm Small Pany upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8641 | |||
| Information Ratio | 0.1614 | |||
| Maximum Drawdown | 4.43 | |||
| Value At Risk | (1.58) | |||
| Potential Upside | 2.14 |
Icm Small Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Icm Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Icm Small's standard deviation. In reality, there are many statistical measures that can use Icm Small historical prices to predict the future Icm Small's volatility.| Risk Adjusted Performance | 0.1891 | |||
| Jensen Alpha | 0.2063 | |||
| Total Risk Alpha | 0.1462 | |||
| Sortino Ratio | 0.1849 | |||
| Treynor Ratio | 0.977 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Icm 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.
Icm Small February 14, 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 | 0.1891 | |||
| Market Risk Adjusted Performance | 0.987 | |||
| Mean Deviation | 0.7324 | |||
| Semi Deviation | 0.54 | |||
| Downside Deviation | 0.8641 | |||
| Coefficient Of Variation | 430.99 | |||
| Standard Deviation | 0.9901 | |||
| Variance | 0.9804 | |||
| Information Ratio | 0.1614 | |||
| Jensen Alpha | 0.2063 | |||
| Total Risk Alpha | 0.1462 | |||
| Sortino Ratio | 0.1849 | |||
| Treynor Ratio | 0.977 | |||
| Maximum Drawdown | 4.43 | |||
| Value At Risk | (1.58) | |||
| Potential Upside | 2.14 | |||
| Downside Variance | 0.7466 | |||
| Semi Variance | 0.2916 | |||
| Expected Short fall | (0.87) | |||
| Skewness | 0.271 | |||
| Kurtosis | 0.7398 |
Icm Small Pany Backtested Returns
Icm Small appears to be very steady, given 3 months investment horizon. Icm Small Pany 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 Icm Small Pany, which you can use to evaluate the volatility of the entity. Please utilize Icm Small's Downside Deviation of 0.8641, market risk adjusted performance of 0.987, and Risk Adjusted Performance of 0.1891 to validate if our risk estimates are consistent with your expectations. The fund retains a Market Volatility (i.e., Beta) of 0.22, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Icm Small's returns are expected to increase less than the market. However, during the bear market, the loss of holding Icm Small is expected to be smaller as well.
Auto-correlation | 0.87 |
Very good predictability
Icm Small Pany has very good predictability. Overlapping area represents the amount of predictability between Icm Small time series from 16th of November 2025 to 31st of December 2025 and 31st of December 2025 to 14th 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 Icm Small Pany price movement. The serial correlation of 0.87 indicates that approximately 87.0% of current Icm Small price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.87 | |
| Spearman Rank Test | 0.85 | |
| Residual Average | 0.0 | |
| Price Variance | 0.78 |
Icm 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.
Icm Small Pany 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 Icm Small Pany across different markets.
About Icm 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 Icm Small Pany 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 Icm Small Pany based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Icm Small Pany price pattern first instead of the macroeconomic environment surrounding Icm Small Pany. By analyzing Icm 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 Icm 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 Icm Small specific price patterns or momentum indicators. Please read more on our technical analysis page.
Icm Small February 14, 2026 Technical Indicators
Most technical analysis of Icm 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 Icm from various momentum indicators to cycle indicators. When you analyze Icm 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 | 0.1891 | |||
| Market Risk Adjusted Performance | 0.987 | |||
| Mean Deviation | 0.7324 | |||
| Semi Deviation | 0.54 | |||
| Downside Deviation | 0.8641 | |||
| Coefficient Of Variation | 430.99 | |||
| Standard Deviation | 0.9901 | |||
| Variance | 0.9804 | |||
| Information Ratio | 0.1614 | |||
| Jensen Alpha | 0.2063 | |||
| Total Risk Alpha | 0.1462 | |||
| Sortino Ratio | 0.1849 | |||
| Treynor Ratio | 0.977 | |||
| Maximum Drawdown | 4.43 | |||
| Value At Risk | (1.58) | |||
| Potential Upside | 2.14 | |||
| Downside Variance | 0.7466 | |||
| Semi Variance | 0.2916 | |||
| Expected Short fall | (0.87) | |||
| Skewness | 0.271 | |||
| Kurtosis | 0.7398 |
Icm Small February 14, 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 Icm 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 | 0.98 | ||
| Day Median Price | 32.58 | ||
| Day Typical Price | 32.58 | ||
| Price Action Indicator | (0.27) |
Other Information on Investing in Icm Mutual Fund
Icm Small financial ratios help investors to determine whether Icm 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 Icm with respect to the benefits of owning Icm Small security.
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