Ft Cboe Vest Etf Buy Hold or Sell Recommendation
| BGLD Etf | USD 20.10 0.03 0.15% |
Given the investment horizon of 90 days and your slightly conservative level of risk, our recommendation regarding FT Cboe Vest is 'Strong Hold'. Macroaxis provides FT Cboe buy-hold-or-sell recommendation only in the context of selected investment horizon and investor attitude towards risk assumed by holding FT Cboe positions. The advice algorithm takes into account all of FT Cboe's available fundamental, technical, and predictive indicators you will find on this site. Key drivers impacting FT Cboe's buy or sell advice are summarized below:
Real Value 22.01 | Hype Value 20.1 | Market Value 20.1 |
A buy or sell recommendation provided by Macroaxis is an automated directive regarding whether to purchase or sell FT Cboe Vest given historical horizon and risk tolerance towards FT Cboe. When Macroaxis issues a 'buy' or 'sell' recommendation for FT Cboe Vest, the advice is generated through an automated system that utilizes algorithms and statistical models.
BGLD |
Execute FT Cboe Buy or Sell Advice
The BGLD recommendation should be used to complement the buy-or-sell advice compiled from the current analysts' consensus on FT Cboe Vest. Macroaxis does not own or have any residual interests in FT Cboe Vest or other equities on which the buy-or-sell advice is provided. Please provide your input below to execute FT Cboe's advice using the current market data and latest reported fundamentals.
Time Horizon
Risk Tolerance
 |  |
Strong Hold
Market Performance | Solid | Details | |
Volatility | Very steady | Details | |
Hype Condition | Stale | Details | |
Current Valuation | Undervalued | Details | |
Odds Of Distress | Low | Details | |
Economic Sensitivity | Slowly supersedes the market | Details | |
Investor Sentiment | Alarmed | Details | |
Analyst Consensus | Not Available | Details |
FT Cboe Trading Alerts and Improvement Suggestions
| The fund holds all of the assets under management (AUM) in different types of exotic instruments |
FT Cboe Returns Distribution Density
The distribution of FT Cboe's historical returns is an attempt to chart the uncertainty of FT Cboe's future price movements. The chart of the probability distribution of FT Cboe daily returns describes the distribution of returns around its average expected value. We use FT Cboe Vest price's Value At Risk and its Upside Potential as a relative measure of the distribution. The graph of the distribution of FT Cboe returns is essential to provide solid investment advice for FT Cboe.
| Mean Return | 0.13 | Value At Risk | -0.64 | Potential Upside | 1.09 | Standard Deviation | 0.52 |
Return Density |
| Distribution |
Investment risk management requires an estimate of the probability of extreme price changes. Therefore, the correct representation of the distribution of FT Cboe historical returns presented in an easy-to-digest graphical form helps investors and money managers understand the risk-reward trade-off of different investement strategies.
FT Cboe Greeks
Most traded equities are subject to two types of risk - systematic (i.e., market) and unsystematic (i.e., nonmarket or company-specific) risk. Unsystematic risk is the risk that events specific to FT Cboe or First Trust sector will adversely affect the stock's price. This type of risk can be diversified away by owning several different stocks in different industries whose stock prices have shown a small correlation to each other. On the other hand, systematic risk is the risk that FT Cboe's price will be affected by overall etf market movements and cannot be diversified away. So, no matter how many positions you have, you cannot eliminate market risk. However, you can measure a BGLD etf's historical response to market movements and buy it if you are comfortable with its volatility direction. Beta and standard deviation are two commonly used measures to help you make the right decision.
α | Alpha over NYSE Composite | 0.10 | |
β | Beta against NYSE Composite | 0.22 | |
σ | Overall volatility | 0.52 | |
Ir | Information ratio | 0.08 |
FT Cboe Volatility Alert
FT Cboe Vest exhibits very low volatility with skewness of 0.25 and kurtosis of 0.83. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure FT Cboe's etf risk against market volatility during both bullish and bearish trends. The higher level of volatility that comes with bear markets can directly impact FT Cboe's etf price while adding stress to investors as they watch their shares' value plummet. This usually forces investors to rebalance their portfolios by buying different financial instruments as prices fall.FT Cboe Fundamentals Vs Peers
Comparing FT Cboe's fundamentals to the average values of its peers is one of the most widely used and accepted methods of equity analyses. It helps to analyze FT Cboe's direct or indirect competition across all of the common fundamentals between FT Cboe and the related equities. This way, we can detect undervalued stocks with similar characteristics as FT Cboe or determine the etfs which would be an excellent addition to an existing portfolio. Peer analysis of FT Cboe's fundamental indicators could also be used in its relative valuation, which is a method of valuing FT Cboe by comparing valuation metrics with those of similar companies.
| Better Than Average | Worse Than Average | Compare FT Cboe to competition |
| Fundamentals | FT Cboe | Peer Average |
| Beta | 0.21 | |
| One Year Return | 13.30 % | (0.97) % |
| Three Year Return | 4.60 % | 3.23 % |
| Net Asset | 12.94 M | 2.29 B |
FT Cboe Market Momentum
Traders often use several daily momentume indicators to supplement a more traditional technical analysis when analyzing securities such as BGLD . With many 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 | 9.19 | |||
| Daily Balance Of Power | (0.60) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 20.1 | |||
| Day Typical Price | 20.1 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | (0.03) |
About FT Cboe Buy or Sell Advice
When is the right time to buy or sell FT Cboe Vest? Buying financial instruments such as BGLD Etf isn't very hard. However, what challenging for most investors is doing it at the right time to beat the market. Proper market timing is something most people cannot do without sophisticated tools, which help to isolate the right opportunities. Macroaxis provides hands-on modules to deliver winning trades and diversify your portfolios on a daily basis. Most of our advising modules are very easy to use and apply.
Please read more on our stock advisor page.
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Check out FT Cboe Analyst Recommendation to compare Macroaxis Buy or Sell Recommendation with the current analyst consensus. To check ratings for multiple equity instruments, please use the Instant Ratings tool. You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
The market value of FT Cboe Vest is measured differently than its book value, which is the value of BGLD that is recorded on the company's balance sheet. Investors also form their own opinion of FT Cboe's value that differs from its market value or its book value, called intrinsic value, which is FT Cboe'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 FT Cboe's market value can be influenced by many factors that don't directly affect FT Cboe'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 FT Cboe's value and its price as these two are different measures arrived at by different means. Investors typically determine if FT Cboe is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, FT Cboe'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.