Financial Industries Fund Price on November 13, 2023
| FIDCX Fund | USD 14.40 0.07 0.49% |
Below is the normalized historical share price chart for Financial Industries Fund extending back to February 11, 2000. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Financial Industries stands at 14.40, as last reported on the 20th of May, with the highest price reaching 14.40 and the lowest price hitting 14.40 during the day.
If you're considering investing in Financial Mutual Fund, it is important to understand the factors that can impact its price. We consider Financial Industries very steady. Financial Industries secures Sharpe Ratio (or Efficiency) of 0.17, which denotes the fund had a 0.17% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Financial Industries Fund, which you can use to evaluate the volatility of the entity. Please confirm Financial Industries' Mean Deviation of 0.5701, coefficient of variation of 526.86, and Downside Deviation of 0.731 to check if the risk estimate we provide is consistent with the expected return of 0.12%.
Financial Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Financial |
Sharpe Ratio = 0.1735
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| Cash | FIDCX | Average Risk | High Risk | Huge Risk |
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Estimated Market Risk
| 0.7 actual daily | 6 94% of assets are more volatile |
Expected Return
| 0.12 actual daily | 2 98% of assets have higher returns |
Risk-Adjusted Return
| 0.17 actual daily | 13 87% of assets perform better |
Based on monthly moving average Financial Industries is performing at about 13% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Financial Industries by adding it to a well-diversified portfolio.
Financial Industries Valuation on November 13, 2023
It is possible to determine the worth of Financial Industries on a given historical date. On November 13, 2023 Financial was worth 11.72 at the beginning of the trading date compared to the closed value of 11.55. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Financial Industries mutual fund. Still, in general, we apply an absolute valuation method to find Financial Industries' value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Financial Industries where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Financial Industries' related companies.
| Open | High | Low | Close | Volume | |
| 11.72 | 11.72 | 11.55 | 11.55 | 1.00 | |
11/13/2023 | 11.72 | 11.72 | 11.55 | 11.55 | 1.00 |
| 12.06 | 12.06 | 11.88 | 11.88 | 1.00 |
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Financial Industries Trading Date Momentum on November 13, 2023
| On November 14 2023 Financial Industries Fund was traded for 11.88 at the closing time. The highest daily price throughout the period was 12.06 and the lowest price was 11.88 . There was no trading activity during the period 1.0. Lack of trading volume on 11/14/2023 added to the next day price jump. The overall trading delta to closing price of the next trading day was 2.86% . The overall trading delta to current closing price is 6.15% . |
Financial Industries Fundamentals Correlations and Trends
By evaluating Financial Industries' financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Financial Industries' main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Financial financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Financial Industries Mutual Fund history
Financial Industries investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Financial is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Financial Industries will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Financial Industries stock prices may prove useful in developing a viable investing in Financial Industries
The fund normally invests at least 80 percent of its net assets in equity securities of U.S. and foreign financial services companies of any size. These companies include, but are not limited to, banks, thrifts, finance and financial technology companies, brokerage and advisory firms, real estate related firms, insurance companies, and financial holding companies. It may invest in U.S. and foreign bonds, including up to 5 percent of net assets in below-investment-grade bonds rated as low as CCC by SP Global Ratings or Caa by Moodys Investors Service, Inc. and their unrated equivalents.
Financial Industries Mutual Fund Technical Analysis
Financial Industries 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.
Price Boundaries
Financial Industries Period Price Range
Low | November 13, 2023
| High |
11.72 | 11.55 |
Financial Industries May 20, 2024 Market Strength
Market strength indicators help investors to evaluate how Financial Industries mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Financial Industries shares will generate the highest return on investment. By undertsting and applying Financial Industries mutual fund market strength indicators, traders can identify Financial Industries Fund entry and exit signals to maximize returns
Financial Industries Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Financial Industries' price direction in advance. Along with the technical and fundamental analysis of Financial Mutual Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Financial to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.1131 | |||
| Jensen Alpha | 0.0329 | |||
| Total Risk Alpha | 0.0168 | |||
| Sortino Ratio | 0.0511 | |||
| Treynor Ratio | 0.1208 |
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| Volume Indicators |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Financial Industries Fund. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in main economic indicators. Note that the Financial Industries information on this page should be used as a complementary analysis to other Financial Industries' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.