No data available for Daily Sep 17, 2024, .
Understanding asset performance is crucial for evaluating investment quality and making informed decisions. Metrics like trailing return and drawdown provide insights into how an asset has performed over time, its volatility, and the efficiency of its returns relative to risk. Performance indicators help assess the stability, risk, and reward of an investment, allowing investors and portfolio managers to make comparisons and strategize accordingly.
-6.31%
Represents the percentage change in asset value over the past month.
-25.32%
Indicates the percentage change in asset value over the last three months.
44.97%
The highest percentage drop from the peak value to the lowest point during the observed period.
37.46%
Shows how much the asset’s daily returns deviate from the average, annualized for the entire period.
-1.72
Measures the average return earned in excess of the risk-free rate per unit of volatility, annualized.
-1.43
The ratio of the annualized return to the maximum drawdown, reflecting the return per unit of risk.
Technical analysis involves evaluating an asset's price and volume data to forecast future movements and make informed trading decisions. By using various technical indicators and chart patterns, investors can gain insights into market trends, price momentum, and potential turning points. This section delves into essential technical metrics, including moving averages, pivot points, and other indicators that provide a snapshot of an asset's current technical stance. Analyzing these indicators helps investors identify entry and exit points, assess market sentiment, and refine their trading strategies. Explore the following technical analysis data to understand the asset's performance dynamics and make better-informed decisions.
Moving Averages are commonly used to smooth out price data and identify trends over a specific period. Here’s a summary of the latest moving averages for various periods:
Type/Period | |
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SMA | |
EMA | |
WMA | |
WEMA |
Pivot Points are used to determine potential support and resistance levels. Here’s a breakdown of the latest Pivot Points for various methods:
Type | S3 | S2 | S1 | PIVOT | R1 | R2 | R3 |
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Technical Indicators are tools used to analyze market trends and make predictions. Here’s a summary of some key indicators:
Indicator | Value | Details |
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Candlestick patterns are crucial in technical analysis, providing visual insights into market sentiment and potential price movements. This section analyzes various candlestick patterns over a specified range of recent candles to identify any significant formations that might indicate future market trends. Each pattern is evaluated based on the latest candle data to determine if it matches known patterns of bullish or bearish signals.
The tool utilizes real-time price data to scan for these patterns, displaying results with timestamps to help understand the context of each detected pattern.
Timestamp | Pattern | Found |
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Pattern | Support |
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This section provides a detailed overview of historical price data for the selected asset. The table below captures key metrics such as open, high, low, and close prices as well as volume and vwap for each trading period. Analyzing historical prices helps in understanding past market trends and volatility, enabling better-informed decisions for future trading strategies.
Timestamp | Open | High | Low | Close | Volume | VWAP | Change |
---|---|---|---|---|---|---|---|
09/16/2024 07:00 PM | 8.19 | 8.22 | 8.17 | 8.18 | 824,578 | 8.19 | -0.01 -0.12% |
09/16/2024 06:00 PM | 8.23 | 8.24 | 8.18 | 8.19 | 467,615 | 8.21 | -0.04 -0.49% |
09/16/2024 05:00 PM | 8.23 | 8.27 | 8.22 | 8.23 | 567,547 | 8.24 | 0.00 0.00% |
09/16/2024 04:00 PM | 8.25 | 8.26 | 8.21 | 8.23 | 508,419 | 8.24 | -0.02 -0.24% |
09/16/2024 03:00 PM | 8.28 | 8.35 | 8.24 | 8.25 | 980,456 | 8.30 | -0.03 -0.36% |
09/16/2024 02:00 PM | 8.26 | 8.33 | 8.24 | 8.29 | 1,002,022 | 8.28 | +0.03 +0.36% |
09/13/2024 07:00 PM | 8.51 | 8.52 | 8.46 | 8.48 | 885,441 | 8.48 | -0.03 -0.35% |
09/13/2024 06:00 PM | 8.47 | 8.53 | 8.44 | 8.50 | 811,881 | 8.49 | +0.03 +0.35% |
09/13/2024 05:00 PM | 8.52 | 8.52 | 8.44 | 8.47 | 530,084 | 8.48 | -0.05 -0.59% |
09/13/2024 04:00 PM | 8.44 | 8.55 | 8.43 | 8.52 | 770,841 | 8.50 | +0.08 +0.95% |
09/13/2024 03:00 PM | 8.49 | 8.51 | 8.42 | 8.44 | 889,334 | 8.47 | -0.05 -0.59% |
09/13/2024 02:00 PM | 8.41 | 8.52 | 8.39 | 8.49 | 1,309,922 | 8.45 | +0.08 +0.95% |
09/12/2024 07:00 PM | 8.61 | 8.63 | 8.54 | 8.55 | 1,167,311 | 8.59 | -0.06 -0.70% |
09/12/2024 06:00 PM | 8.55 | 8.67 | 8.53 | 8.60 | 1,214,488 | 8.62 | +0.05 +0.58% |
09/12/2024 05:00 PM | 8.59 | 8.61 | 8.52 | 8.55 | 536,732 | 8.56 | -0.04 -0.47% |
09/12/2024 04:00 PM | 8.65 | 8.67 | 8.57 | 8.59 | 606,271 | 8.63 | -0.06 -0.69% |
09/12/2024 03:00 PM | 8.69 | 8.70 | 8.62 | 8.66 | 721,881 | 8.65 | -0.03 -0.35% |
09/12/2024 02:00 PM | 8.73 | 8.75 | 8.59 | 8.69 | 1,128,706 | 8.66 | -0.04 -0.46% |
09/11/2024 07:00 PM | 8.70 | 8.70 | 8.57 | 8.61 | 1,602,484 | 8.64 | -0.09 -1.03% |
09/11/2024 06:00 PM | 8.77 | 8.78 | 8.65 | 8.69 | 857,728 | 8.72 | -0.08 -0.91% |
09/11/2024 05:00 PM | 8.84 | 8.84 | 8.73 | 8.77 | 862,386 | 8.78 | -0.07 -0.79% |
09/11/2024 04:00 PM | 8.97 | 8.99 | 8.82 | 8.84 | 953,128 | 8.91 | -0.13 -1.45% |
09/11/2024 03:00 PM | 9.00 | 9.05 | 8.92 | 8.97 | 1,155,496 | 8.98 | -0.03 -0.33% |
09/11/2024 02:00 PM | 8.88 | 9.13 | 8.88 | 9.00 | 2,695,374 | 9.04 | +0.12 +1.35% |
09/10/2024 07:00 PM | 8.47 | 8.52 | 8.44 | 8.49 | 827,411 | 8.49 | +0.02 +0.24% |
09/10/2024 06:00 PM | 8.58 | 8.58 | 8.46 | 8.47 | 673,658 | 8.52 | -0.11 -1.28% |
09/10/2024 05:00 PM | 8.71 | 8.72 | 8.57 | 8.57 | 792,449 | 8.64 | -0.14 -1.61% |
09/10/2024 04:00 PM | 8.72 | 8.77 | 8.68 | 8.71 | 952,326 | 8.72 | -0.01 -0.11% |
09/10/2024 03:00 PM | 8.61 | 8.72 | 8.55 | 8.72 | 792,560 | 8.64 | +0.11 +1.28% |
09/10/2024 02:00 PM | 8.35 | 8.65 | 8.34 | 8.62 | 1,672,375 | 8.55 | +0.27 +3.23% |
09/09/2024 07:00 PM | 8.20 | 8.26 | 8.17 | 8.25 | 1,556,662 | 8.22 | +0.05 +0.61% |
09/09/2024 06:00 PM | 8.17 | 8.22 | 8.15 | 8.19 | 928,242 | 8.18 | +0.02 +0.24% |
09/09/2024 05:00 PM | 8.09 | 8.17 | 8.08 | 8.17 | 722,044 | 8.12 | +0.08 +0.99% |
09/09/2024 04:00 PM | 8.20 | 8.22 | 8.08 | 8.10 | 901,878 | 8.13 | -0.10 -1.22% |
09/09/2024 03:00 PM | 8.30 | 8.34 | 8.17 | 8.20 | 1,334,584 | 8.25 | -0.10 -1.20% |
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Unlock Full Potential NowRisks include high volatility and the potential for significant losses due to the leveraged and inverse nature of the ETF. Leveraged inverse ETFs like FAZ are designed for short-term trading and may not perform as expected over longer periods due to compounding and daily rebalancing effects.
Yes, FAZ can be held in retirement accounts such as IRAs or 401(k)s. However, due to its leveraged and volatile nature, it is important to consider how it fits within your overall investment strategy and risk tolerance.
Key performance metrics for FAZ include its net asset value (NAV), daily percentage returns, expense ratio, and tracking error. NAV represents the per-share value of the ETF, daily returns show how FAZ performs relative to the inverse of the Financial Select Sector Index, the expense ratio covers the fund's management and operational costs, and tracking error measures how closely FAZ tracks its target inverse performance.
Factors influencing FAZ’s performance include the volatility and performance of the financial sector, overall market conditions, and the effectiveness of the leveraged and inverse strategy. Daily rebalancing and compounding effects can also impact performance.
FAZ adjusts its holdings and leverage daily to reflect changes in the Financial Select Sector Index. The ETF uses derivatives to achieve its 3x inverse leverage ratio and rebalances frequently to maintain this exposure.
FAZ is managed by Direxion, which employs financial derivatives such as futures contracts, options, and swaps to achieve its goal of delivering three times the inverse daily performance of the Financial Select Sector Index. The fund is rebalanced daily to maintain this leverage and inverse ratio.
FAZ aims to provide three times the inverse daily performance of the Financial Select Sector Index. Due to the leveraged and inverse nature of the ETF, its performance can deviate significantly from the index over longer periods due to daily compounding effects and rebalancing.
FAZ has an expense ratio of approximately 0.95%. This fee covers the costs associated with managing and operating the fund, including administrative and management expenses.
Historical performance data for FAZ includes past returns, NAV, and volatility. This data provides insights into how well the ETF has tracked its target inverse performance and the effects of its leveraged strategy over time.
Investors can purchase shares of FAZ through a brokerage account. It is traded on major stock exchanges under the ticker symbol "FAZ" and can be bought and sold like other stocks and ETFs.
Discover our curated selection of top-performing exchange-traded funds (ETFs) that represent a diverse range of investment opportunities.
SPY is an exchange-traded fund (ETF) that aims to replicate the performance of the S&P 500 Index. The S&P 500 Index includes 500 of the largest publicly traded companies in the United States, representing a broad cross-section of the U.S. economy.
QQQ is an exchange-traded fund (ETF) that tracks the performance of the Nasdaq-100 Index. This index includes 100 of the largest non-financial companies listed on the Nasdaq Stock Market, primarily focusing on technology and innovation sectors.
DIA is an exchange-traded fund (ETF) that aims to track the performance of the Dow Jones Industrial Average (DJIA). The DJIA is a stock market index consisting of 30 large, publicly traded companies in the United States, representing a broad range of industries.
IWM is an exchange-traded fund (ETF) that seeks to track the performance of the Russell 2000 Index. The Russell 2000 Index measures the performance of the 2,000 smallest stocks in the Russell 3000 Index, representing a broad segment of small-cap U.S. companies.
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The information displayed on this site is sourced from third-party providers and is believed to be reliable. RankMyTrade (RMT) has not independently verified this data and does not guarantee its accuracy. The information and calculations provided by RankMyTrade are for educational and informational purposes only and should not be construed as financial or investment advice.
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