Fidelity Stocks For Etf Technical Analysis
| FCPI Etf | USD 50.63 0.19 0.38% |
As of the 25th of January, Fidelity Stocks shows the Mean Deviation of 0.5527, downside deviation of 0.7773, and Coefficient Of Variation of 2081.02. Fidelity Stocks for technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.
Fidelity Stocks Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Fidelity, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FidelityFidelity | Build AI portfolio with Fidelity Etf |
The market value of Fidelity Stocks for is measured differently than its book value, which is the value of Fidelity that is recorded on the company's balance sheet. Investors also form their own opinion of Fidelity Stocks' value that differs from its market value or its book value, called intrinsic value, which is Fidelity Stocks' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Fidelity Stocks' market value can be influenced by many factors that don't directly affect Fidelity Stocks' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Fidelity Stocks' value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity Stocks is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity Stocks' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Fidelity Stocks '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 Fidelity Stocks' etf 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 Fidelity Stocks.
| 10/27/2025 |
| 01/25/2026 |
If you would invest 0.00 in Fidelity Stocks on October 27, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Stocks for or generate 0.0% return on investment in Fidelity Stocks over 90 days. Fidelity Stocks is related to or competes with Fidelity Emerging, Fidelity Covington, BlackRock World, Oppenheimer Russell, Exchange Traded, Amplify Digital, and Morgan Stanley. The fund normally invests at least 80 percent of its assets in securities included in the Fidelity Stocks for Inflation Factor Index Fidelity Stocks is traded on BATS Exchange in the United States. More
Fidelity Stocks 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 Fidelity Stocks' etf 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 Fidelity Stocks for upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7773 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 3.3 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 0.9476 |
Fidelity Stocks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Stocks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Stocks' standard deviation. In reality, there are many statistical measures that can use Fidelity Stocks historical prices to predict the future Fidelity Stocks' volatility.| Risk Adjusted Performance | 0.0348 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0345 |
Fidelity Stocks January 25, 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 | 0.0348 | |||
| Market Risk Adjusted Performance | 0.0445 | |||
| Mean Deviation | 0.5527 | |||
| Semi Deviation | 0.741 | |||
| Downside Deviation | 0.7773 | |||
| Coefficient Of Variation | 2081.02 | |||
| Standard Deviation | 0.7057 | |||
| Variance | 0.498 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0345 | |||
| Maximum Drawdown | 3.3 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 0.9476 | |||
| Downside Variance | 0.6042 | |||
| Semi Variance | 0.5491 | |||
| Expected Short fall | (0.55) | |||
| Skewness | (0.53) | |||
| Kurtosis | 0.2146 |
Fidelity Stocks for Backtested Returns
Fidelity Stocks is very steady at the moment. Fidelity Stocks for secures Sharpe Ratio (or Efficiency) of 0.0328, which denotes the etf had a 0.0328 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Fidelity Stocks for, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Stocks' Coefficient Of Variation of 2081.02, mean deviation of 0.5527, and Downside Deviation of 0.7773 to check if the risk estimate we provide is consistent with the expected return of 0.0233%. The etf shows a Beta (market volatility) of 0.69, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fidelity Stocks' returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Stocks is expected to be smaller as well.
Auto-correlation | 0.29 |
Poor predictability
Fidelity Stocks for has poor predictability. Overlapping area represents the amount of predictability between Fidelity Stocks time series from 27th of October 2025 to 11th of December 2025 and 11th of December 2025 to 25th 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 Fidelity Stocks for price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current Fidelity Stocks price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.29 | |
| Spearman Rank Test | 0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 0.15 |
Fidelity Stocks technical etf 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, etf market cycles, or different charting patterns.
Fidelity Stocks for Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Fidelity Stocks for volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Fidelity Stocks 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 Fidelity Stocks for 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 Fidelity Stocks for based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Fidelity Stocks for price pattern first instead of the macroeconomic environment surrounding Fidelity Stocks for. By analyzing Fidelity Stocks'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 Fidelity Stocks'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 Fidelity Stocks specific price patterns or momentum indicators. Please read more on our technical analysis page.
Fidelity Stocks January 25, 2026 Technical Indicators
Most technical analysis of Fidelity 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 Fidelity from various momentum indicators to cycle indicators. When you analyze Fidelity 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 | 0.0348 | |||
| Market Risk Adjusted Performance | 0.0445 | |||
| Mean Deviation | 0.5527 | |||
| Semi Deviation | 0.741 | |||
| Downside Deviation | 0.7773 | |||
| Coefficient Of Variation | 2081.02 | |||
| Standard Deviation | 0.7057 | |||
| Variance | 0.498 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0345 | |||
| Maximum Drawdown | 3.3 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 0.9476 | |||
| Downside Variance | 0.6042 | |||
| Semi Variance | 0.5491 | |||
| Expected Short fall | (0.55) | |||
| Skewness | (0.53) | |||
| Kurtosis | 0.2146 |
Fidelity Stocks for One Year Return
Based on the recorded statements, Fidelity Stocks for has an One Year Return of 10.9%. This is 52.77% lower than that of the Fidelity Investments family and significantly higher than that of the Large Blend category. The one year return for all United States etfs is notably lower than that of the firm.
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.Fidelity Stocks January 25, 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 Fidelity 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 | 1.19 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 50.56 | ||
| Day Typical Price | 50.58 | ||
| Price Action Indicator | 0.17 | ||
| Market Facilitation Index | 0.16 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Fidelity Stocks for. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in inflation. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
The market value of Fidelity Stocks for is measured differently than its book value, which is the value of Fidelity that is recorded on the company's balance sheet. Investors also form their own opinion of Fidelity Stocks' value that differs from its market value or its book value, called intrinsic value, which is Fidelity Stocks' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Fidelity Stocks' market value can be influenced by many factors that don't directly affect Fidelity Stocks' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Fidelity Stocks' value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity Stocks is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity Stocks' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.