Fidelity Etf Market Value

FTEC
 Etf
  

USD 113.26  3.38  3.08%   

Fidelity Info's market value is the price at which a share of Fidelity Info stock trades on a public exchange. It measures the collective expectations of Fidelity Info Tech investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of Fidelity Info Tech and determine expected loss or profit from investing in Fidelity Info over a given investment horizon. Please check Fidelity Info Hype Analysis, Fidelity Info Correlation, Portfolio Optimization, Fidelity Info Volatility, as well as analyze Fidelity Info Alpha and Beta and Fidelity Info Performance.
Symbol

The market value of Fidelity Info Tech 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 Info's value that differs from its market value or its book value, called intrinsic value, which is Fidelity Info's 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 Info's market value can be influenced by many factors that don't directly affect Fidelity Info's 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 Info's value and its price as these two are different measures arrived at by different means. Investors typically determine Fidelity Info value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity Info's 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 Info '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 Info's 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 Info.
0.00
05/12/2022
No Change 0.00  0.0 
In 3 months and 1 day
08/10/2022
0.00
If you would invest  0.00  in Fidelity Info on May 12, 2022 and sell it all today you would earn a total of 0.00 from holding Fidelity Info Tech or generate 0.0% return on investment in Fidelity Info over 90 days. The fund invests at least 80 percent of assets in securities included in the funds underlying indexMore

Fidelity Info 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 Info's 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 Info Tech upside and downside potential and time the market with a certain degree of confidence.

Fidelity Info Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Info's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Info's standard deviation. In reality, there are many statistical measures that can use Fidelity Info historical prices to predict the future Fidelity Info's volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Fidelity Info'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. Please use the tools below to analyze the current value of Fidelity Info in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
111.16113.26115.36
Details
Intrinsic
Valuation
LowReal ValueHigh
108.69110.79124.59
Details
Naive
Forecast
LowNext ValueHigh
109.54111.64113.75
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
95.65105.47115.28
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Fidelity Info. Your research has to be compared to or analyzed against Fidelity Info's peers to derive any actionable benefits. When done correctly, Fidelity Info's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Fidelity Info Tech.

Fidelity Info Tech Backtested Returns

Fidelity Info appears to be very steady, given 3 months investment horizon. Fidelity Info Tech secures Sharpe Ratio (or Efficiency) of 0.11, which denotes the etf had 0.11% of return per unit of risk over the last 3 months. Our standpoint towards predicting the volatility of an etf is to use all available market data together with etf-specific technical indicators that cannot be diversified away. We have found twenty-one technical indicators for Fidelity Info Tech, which you can use to evaluate the future volatility of the entity. Please utilize Fidelity Info's Coefficient Of Variation of 1998.3, mean deviation of 1.73, and Downside Deviation of 2.25 to check if our risk estimates are consistent with your expectations.
The etf shows a Beta (market volatility) of 1.5435, which means a somewhat significant risk relative to the market. Let's try to break down what Fidelity's beta means in this case. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Fidelity Info will likely underperform. Although it is important to respect Fidelity Info Tech historical returns, it is better to be realistic regarding the information on the equity's current trending patterns. The philosophy towards predicting future performance of any etf is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By reviewing Fidelity Info Tech technical indicators, you can presently evaluate if the expected return of 0.23% will be sustainable into the future.

Auto-correlation

    
  -0.53  

Good reverse predictability

Fidelity Info Tech has good reverse predictability. Overlapping area represents the amount of predictability between Fidelity Info time series from 12th of May 2022 to 26th of June 2022 and 26th of June 2022 to 10th of August 2022. 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 Info Tech price movement. The serial correlation of -0.53 indicates that about 53.0% of current Fidelity Info price fluctuation can be explain by its past prices.
Correlation Coefficient-0.53
Spearman Rank Test-0.24
Residual Average0.0
Price Variance25.49

Fidelity Info Tech lagged returns against current returns

Autocorrelation, which is Fidelity Info etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Fidelity Info's etf expected returns. We can calculate the autocorrelation of Fidelity Info returns to help us make a trade decision. For example, suppose you find that Fidelity Info etf has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
   Current and Lagged Values   
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       Timeline  

Fidelity Info regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Fidelity Info etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Info etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fidelity Info etf over time.
   Current vs Lagged Prices   
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       Timeline  

Fidelity Info Lagged Returns

When evaluating Fidelity Info's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Info etf have on its future price. Fidelity Info autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Fidelity Info autocorrelation shows the relationship between Fidelity Info etf current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Info Tech.
   Regressed Prices   
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       Timeline  

Fidelity Info Investors Sentiment

The influence of Fidelity Info's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Fidelity. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Fidelity Info in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Fidelity Info's short interest history, or implied volatility extrapolated from Fidelity Info options trading.

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Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Fidelity Info Tech using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.

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Please check Fidelity Info Hype Analysis, Fidelity Info Correlation, Portfolio Optimization, Fidelity Info Volatility, as well as analyze Fidelity Info Alpha and Beta and Fidelity Info Performance. Note that the Fidelity Info Tech information on this page should be used as a complementary analysis to other Fidelity Info's 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 Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.

Complementary Tools for Fidelity Etf analysis

When running Fidelity Info Tech price analysis, check to measure Fidelity Info'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 Info is operating at the current time. Most of Fidelity Info's value examination focuses on studying past and present price action to predict the probability of Fidelity Info's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Fidelity Info's price. Additionally, you may evaluate how the addition of Fidelity Info to your portfolios can decrease your overall portfolio volatility.
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Fidelity Info 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, stock market cycles, or different charting patterns.
A focus of Fidelity Info technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Fidelity Info trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...