Fidelity Disruptive Automation Etf Market Value
| FBOT Etf | 28.23 0.12 0.42% |
| Symbol | Fidelity |
The market value of Fidelity Disruptive 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 Disruptive's value that differs from its market value or its book value, called intrinsic value, which is Fidelity Disruptive'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 Disruptive's market value can be influenced by many factors that don't directly affect Fidelity Disruptive'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 Disruptive's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity Disruptive is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity Disruptive'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 Disruptive '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 Disruptive'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 Disruptive.
| 11/05/2024 |
| 01/04/2025 |
If you would invest 0.00 in Fidelity Disruptive on November 5, 2024 and sell it all today you would earn a total of 0.00 from holding Fidelity Disruptive Automation or generate 0.0% return on investment in Fidelity Disruptive over 60 days. Fidelity Disruptive is related to or competes with IShares Dividend, Martin Currie, VictoryShares THB, Mast Global, AdvisorShares Gerber, Roundhill Ball, and Global X. Fidelity Disruptive is entity of United States More
Fidelity Disruptive 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 Disruptive'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 Disruptive Automation upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9664 | |||
| Information Ratio | 0.0536 | |||
| Maximum Drawdown | 4.36 | |||
| Value At Risk | (1.45) | |||
| Potential Upside | 1.64 |
Fidelity Disruptive Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Disruptive's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Disruptive's standard deviation. In reality, there are many statistical measures that can use Fidelity Disruptive historical prices to predict the future Fidelity Disruptive's volatility.| Risk Adjusted Performance | 0.064 | |||
| Jensen Alpha | 0.062 | |||
| Total Risk Alpha | 0.0487 | |||
| Sortino Ratio | 0.0525 | |||
| Treynor Ratio | 0.7265 |
Fidelity Disruptive Backtested Returns
Currently, Fidelity Disruptive Automation is very steady. Fidelity Disruptive secures Sharpe Ratio (or Efficiency) of 0.0652, which denotes the etf had a 0.0652% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Fidelity Disruptive Automation, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Disruptive's Mean Deviation of 0.7609, coefficient of variation of 1296.07, and Downside Deviation of 0.9664 to check if the risk estimate we provide is consistent with the expected return of 0.0603%. The etf shows a Beta (market volatility) of 0.0868, which means not very significant fluctuations relative to the market. As returns on the market increase, Fidelity Disruptive's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Disruptive is expected to be smaller as well.
Auto-correlation | 0.04 |
Virtually no predictability
Fidelity Disruptive Automation has virtually no predictability. Overlapping area represents the amount of predictability between Fidelity Disruptive time series from 5th of November 2024 to 5th of December 2024 and 5th of December 2024 to 4th of January 2025. 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 Disruptive price movement. The serial correlation of 0.04 indicates that only as little as 4.0% of current Fidelity Disruptive price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.04 | |
| Spearman Rank Test | 0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
Fidelity Disruptive lagged returns against current returns
Autocorrelation, which is Fidelity Disruptive 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 Disruptive's etf expected returns. We can calculate the autocorrelation of Fidelity Disruptive returns to help us make a trade decision. For example, suppose you find that Fidelity Disruptive has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Fidelity Disruptive 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 Disruptive etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Disruptive etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fidelity Disruptive etf over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Disruptive Lagged Returns
When evaluating Fidelity Disruptive's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Disruptive etf have on its future price. Fidelity Disruptive 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 Disruptive autocorrelation shows the relationship between Fidelity Disruptive etf current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Disruptive Automation.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out Fidelity Disruptive Correlation, Fidelity Disruptive Volatility and Fidelity Disruptive Alpha and Beta module to complement your research on Fidelity Disruptive. You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Fidelity Disruptive 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.