Insurance Portfolio Insurance Fund Technical Analysis
| FSPCX Fund | USD 88.21 0.97 1.11% |
As of the 30th of January, Insurance Portfolio retains the Market Risk Adjusted Performance of 0.0517, risk adjusted performance of 0.0216, and Downside Deviation of 0.8148. Insurance Portfolio 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.
Insurance Portfolio Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Insurance, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to InsuranceInsurance |
Insurance Portfolio '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 Insurance Portfolio'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 Insurance Portfolio.
| 11/01/2025 |
| 01/30/2026 |
If you would invest 0.00 in Insurance Portfolio on November 1, 2025 and sell it all today you would earn a total of 0.00 from holding Insurance Portfolio Insurance or generate 0.0% return on investment in Insurance Portfolio over 90 days. Insurance Portfolio is related to or competes with Construction, Materials Portfolio, Bernstein Sanford, Clarkston Partners, New York, T Rowe, and One Choice. The fund normally invests at least 80 percent of assets in securities of companies principally engaged in underwriting, ... More
Insurance Portfolio 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 Insurance Portfolio'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 Insurance Portfolio Insurance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8148 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 5.06 | |||
| Value At Risk | (1.04) | |||
| Potential Upside | 1.52 |
Insurance Portfolio Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Insurance Portfolio's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Insurance Portfolio's standard deviation. In reality, there are many statistical measures that can use Insurance Portfolio historical prices to predict the future Insurance Portfolio's volatility.| Risk Adjusted Performance | 0.0216 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0417 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Insurance Portfolio'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.
Insurance Portfolio January 30, 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 | 0.0216 | |||
| Market Risk Adjusted Performance | 0.0517 | |||
| Mean Deviation | 0.6402 | |||
| Semi Deviation | 0.7533 | |||
| Downside Deviation | 0.8148 | |||
| Coefficient Of Variation | 3663.25 | |||
| Standard Deviation | 0.881 | |||
| Variance | 0.7761 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0417 | |||
| Maximum Drawdown | 5.06 | |||
| Value At Risk | (1.04) | |||
| Potential Upside | 1.52 | |||
| Downside Variance | 0.6639 | |||
| Semi Variance | 0.5674 | |||
| Expected Short fall | (0.78) | |||
| Skewness | 0.2719 | |||
| Kurtosis | 1.53 |
Insurance Portfolio Backtested Returns
At this stage we consider Insurance Mutual Fund to be very steady. Insurance Portfolio holds Efficiency (Sharpe) Ratio of 0.11, which attests that the entity had a 0.11 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Insurance Portfolio, which you can use to evaluate the volatility of the entity. Please check out Insurance Portfolio's Downside Deviation of 0.8148, risk adjusted performance of 0.0216, and Market Risk Adjusted Performance of 0.0517 to validate if the risk estimate we provide is consistent with the expected return of 0.0912%. The fund retains a Market Volatility (i.e., Beta) of 0.34, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Insurance Portfolio's returns are expected to increase less than the market. However, during the bear market, the loss of holding Insurance Portfolio is expected to be smaller as well.
Auto-correlation | -0.29 |
Weak reverse predictability
Insurance Portfolio Insurance has weak reverse predictability. Overlapping area represents the amount of predictability between Insurance Portfolio time series from 1st of November 2025 to 16th of December 2025 and 16th of December 2025 to 30th 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 Insurance Portfolio price movement. The serial correlation of -0.29 indicates that nearly 29.0% of current Insurance Portfolio price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.29 | |
| Spearman Rank Test | -0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 2.45 |
Insurance Portfolio 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.
Insurance Portfolio Technical Analysis
Indicator |
The output start index for this execution was one with a total number of output elements of sixty. The True Range is a measure of Insurance Portfolio volatility developed by Welles Wilder.
About Insurance Portfolio 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 Insurance Portfolio Insurance 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 Insurance Portfolio Insurance based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Insurance Portfolio price pattern first instead of the macroeconomic environment surrounding Insurance Portfolio. By analyzing Insurance Portfolio'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 Insurance Portfolio'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 Insurance Portfolio specific price patterns or momentum indicators. Please read more on our technical analysis page.
Insurance Portfolio January 30, 2026 Technical Indicators
Most technical analysis of Insurance 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 Insurance from various momentum indicators to cycle indicators. When you analyze Insurance 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 | 0.0216 | |||
| Market Risk Adjusted Performance | 0.0517 | |||
| Mean Deviation | 0.6402 | |||
| Semi Deviation | 0.7533 | |||
| Downside Deviation | 0.8148 | |||
| Coefficient Of Variation | 3663.25 | |||
| Standard Deviation | 0.881 | |||
| Variance | 0.7761 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0417 | |||
| Maximum Drawdown | 5.06 | |||
| Value At Risk | (1.04) | |||
| Potential Upside | 1.52 | |||
| Downside Variance | 0.6639 | |||
| Semi Variance | 0.5674 | |||
| Expected Short fall | (0.78) | |||
| Skewness | 0.2719 | |||
| Kurtosis | 1.53 |
Insurance Portfolio One Year Return
Based on the recorded statements, Insurance Portfolio Insurance has an One Year Return of -0.7498%. This is 120.21% lower than that of the Fidelity Investments family and significantly lower than that of the Financial category. The one year return for all United States funds is notably higher than that of the company.
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.Insurance Portfolio January 30, 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 Insurance 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 | 88.21 | ||
| Day Typical Price | 88.21 | ||
| Price Action Indicator | 0.48 |
Other Information on Investing in Insurance Mutual Fund
Insurance Portfolio financial ratios help investors to determine whether Insurance 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 Insurance with respect to the benefits of owning Insurance Portfolio security.
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