Fidelity Dd Bancorp Stock Price on December 4, 2024
FDBC Stock | USD 54.23 0.44 0.82% |
Below is the normalized historical share price chart for Fidelity DD Bancorp extending back to October 31, 1995. 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 Fidelity stands at 54.23, as last reported on the 4th of December, with the highest price reaching 54.23 and the lowest price hitting 52.93 during the day.
If you're considering investing in Fidelity Stock, it is important to understand the factors that can impact its price. At this point, Fidelity is very steady. Fidelity DD Bancorp secures Sharpe Ratio (or Efficiency) of 0.0455, which denotes the company had a 0.0455% return per unit of risk over the last 3 months. We have found thirty technical indicators for Fidelity DD Bancorp, which you can use to evaluate the volatility of the firm. Please confirm Fidelity's Mean Deviation of 1.87, coefficient of variation of 6822.81, and Downside Deviation of 2.29 to check if the risk estimate we provide is consistent with the expected return of 0.12%.
At present, Fidelity's Common Stock Total Equity is projected to increase significantly based on the last few years of reporting. The current year's Liabilities And Stockholders Equity is expected to grow to about 2.6 B, whereas Common Stock Shares Outstanding is forecasted to decline to about 4 M. . The current year's Price To Free Cash Flows Ratio is expected to grow to 15.30, whereas Price To Sales Ratio is forecasted to decline to 2.61. Fidelity Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
IPO Date 2nd of January 2001 | 200 Day MA 48.6355 | 50 Day MA 52.1148 | Beta 0.572 |
Fidelity |
Sharpe Ratio = 0.0455
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Estimated Market Risk
2.53 actual daily | 22 78% of assets are more volatile |
Expected Return
0.12 actual daily | 2 98% of assets have higher returns |
Risk-Adjusted Return
0.05 actual daily | 3 97% of assets perform better |
Based on monthly moving average Fidelity is performing at about 3% 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 Fidelity by adding it to a well-diversified portfolio.
Price Book 1.4887 | Price Sales 4.3308 | Shares Float 4.7 M | Dividend Share 1.52 | Earnings Share 2.67 |
Fidelity Valuation on December 4, 2024
It is possible to determine the worth of Fidelity on a given historical date. On December 4, 2024 Fidelity was worth 53.45 at the beginning of the trading date compared to the closed value of 54.23. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Fidelity stock. Still, in general, we apply an absolute valuation method to find Fidelity's 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 Fidelity where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Fidelity's related companies.
Open | High | Low | Close | Volume | |
53.85 | 53.85 | 53.79 | 53.79 | 3,156 | |
12/04/2024 | 53.45 | 54.23 | 52.93 | 54.23 | 8,851 |
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Fidelity Trading Date Momentum on December 4, 2024
On December 04 2024 Fidelity DD Bancorp was traded for 54.23 at the closing time. The top price for the day was 54.23 and the lowest listed price was 52.93 . The trading volume for the day was 8.9 K. The trading history from December 4, 2024 did not affect price variability. The overall trading delta against the current closing price is 1.44% . |
Fidelity DD Bancorp Fundamentals Correlations and Trends
By evaluating Fidelity's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Fidelity's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Fidelity financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Fidelity Stock history
Fidelity 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 Fidelity is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Fidelity DD Bancorp 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 Fidelity stock prices may prove useful in developing a viable investing in Fidelity
Last Reported | Projected for Next Year | ||
Common Stock Shares Outstanding | 5.7 M | 4 M | |
Net Income Applicable To Common Shares | 34.5 M | 36.3 M |
Fidelity Stock Technical Analysis
Fidelity technical stock 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, stock market cycles, or different charting patterns.
Price Boundaries
Fidelity Period Price Range
Low | December 4, 2024
| High |
0.00 | 0.00 |
Fidelity DD Bancorp cannot be verified against its exchange. Please verify the symbol is currently traded on NASDAQ Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Fidelity December 4, 2024 Market Strength
Market strength indicators help investors to evaluate how Fidelity stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Fidelity shares will generate the highest return on investment. By undertsting and applying Fidelity stock market strength indicators, traders can identify Fidelity DD Bancorp entry and exit signals to maximize returns
Fidelity Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Fidelity's price direction in advance. Along with the technical and fundamental analysis of Fidelity Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Fidelity 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 | 0.0182 | |||
Jensen Alpha | (0.16) | |||
Total Risk Alpha | (0.32) | |||
Sortino Ratio | (0.03) | |||
Treynor Ratio | 0.0153 |
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Volume Indicators |
Complementary Tools for Fidelity Stock analysis
When running Fidelity's price analysis, check to measure Fidelity's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Fidelity is operating at the current time. Most of Fidelity's value examination focuses on studying past and present price action to predict the probability of Fidelity's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fidelity's price. Additionally, you may evaluate how the addition of Fidelity to your portfolios can decrease your overall portfolio volatility.
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
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