Small Pany Fund Technical Analysis
| FOSCX Fund | USD 29.93 0.27 0.91% |
As of the 5th of February, Small Company has the Semi Deviation of 0.5079, risk adjusted performance of 0.1425, and Coefficient Of Variation of 535.35. Small Company technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the fund's future prices.
Small Company 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 Company '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 Company'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 Company.
| 11/07/2025 |
| 02/05/2026 |
If you would invest 0.00 in Small Company on November 7, 2025 and sell it all today you would earn a total of 0.00 from holding Small Pany Fund or generate 0.0% return on investment in Small Company over 90 days. Small Company is related to or competes with Small Company, Applied Finance, American Beacon, American Beacon, American Beacon, American Beacon, and Simt Us. Under normal market conditions, the Advisor intends to invest at least 80 percent of its assets in common stocks and sec... More
Small Company 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 Company'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 Pany Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9064 | |||
| Information Ratio | 0.1436 | |||
| Maximum Drawdown | 10.44 | |||
| Value At Risk | (1.53) | |||
| Potential Upside | 2.29 |
Small Company Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Small Company's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Small Company's standard deviation. In reality, there are many statistical measures that can use Small Company historical prices to predict the future Small Company's volatility.| Risk Adjusted Performance | 0.1425 | |||
| Jensen Alpha | 0.1919 | |||
| Total Risk Alpha | 0.1582 | |||
| Sortino Ratio | 0.2365 | |||
| Treynor Ratio | 0.1904 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Small Company'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 Company 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 | 0.1425 | |||
| Market Risk Adjusted Performance | 0.2004 | |||
| Mean Deviation | 0.9333 | |||
| Semi Deviation | 0.5079 | |||
| Downside Deviation | 0.9064 | |||
| Coefficient Of Variation | 535.35 | |||
| Standard Deviation | 1.49 | |||
| Variance | 2.23 | |||
| Information Ratio | 0.1436 | |||
| Jensen Alpha | 0.1919 | |||
| Total Risk Alpha | 0.1582 | |||
| Sortino Ratio | 0.2365 | |||
| Treynor Ratio | 0.1904 | |||
| Maximum Drawdown | 10.44 | |||
| Value At Risk | (1.53) | |||
| Potential Upside | 2.29 | |||
| Downside Variance | 0.8215 | |||
| Semi Variance | 0.2579 | |||
| Expected Short fall | (1.14) | |||
| Skewness | 3.0 | |||
| Kurtosis | 15.58 |
Small Pany Fund Backtested Returns
Small Company appears to be very steady, given 3 months investment horizon. Small Pany Fund owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.2, which indicates the fund had a 0.2 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Small Pany Fund, which you can use to evaluate the volatility of the fund. Please review Small Company's Risk Adjusted Performance of 0.1425, coefficient of variation of 535.35, and Semi Deviation of 0.5079 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 1.41, 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 Company will likely underperform.
Auto-correlation | 0.70 |
Good predictability
Small Pany Fund has good predictability. Overlapping area represents the amount of predictability between Small Company 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 Small Pany Fund price movement. The serial correlation of 0.7 indicates that around 70.0% of current Small Company price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.8 | |
| Residual Average | 0.0 | |
| Price Variance | 0.58 |
Small Company 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 Pany Fund 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 Small Pany Fund volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Small Company 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 Pany Fund 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 Pany Fund based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Small Pany Fund price pattern first instead of the macroeconomic environment surrounding Small Pany Fund. By analyzing Small Company'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 Company'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 Company specific price patterns or momentum indicators. Please read more on our technical analysis page.
Small Company February 5, 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 | 0.1425 | |||
| Market Risk Adjusted Performance | 0.2004 | |||
| Mean Deviation | 0.9333 | |||
| Semi Deviation | 0.5079 | |||
| Downside Deviation | 0.9064 | |||
| Coefficient Of Variation | 535.35 | |||
| Standard Deviation | 1.49 | |||
| Variance | 2.23 | |||
| Information Ratio | 0.1436 | |||
| Jensen Alpha | 0.1919 | |||
| Total Risk Alpha | 0.1582 | |||
| Sortino Ratio | 0.2365 | |||
| Treynor Ratio | 0.1904 | |||
| Maximum Drawdown | 10.44 | |||
| Value At Risk | (1.53) | |||
| Potential Upside | 2.29 | |||
| Downside Variance | 0.8215 | |||
| Semi Variance | 0.2579 | |||
| Expected Short fall | (1.14) | |||
| Skewness | 3.0 | |||
| Kurtosis | 15.58 |
Small Company 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 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 | 29.93 | ||
| Day Typical Price | 29.93 | ||
| Price Action Indicator | 0.13 |
Other Information on Investing in Small Mutual Fund
Small Company 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 Company security.
| AI Portfolio Prophet Use AI to generate optimal portfolios and find profitable investment opportunities | |
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
| Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
| Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope |