Asset Summary
No data available for Daily Sep 17, 2024, .
Asset Performance Metrics and Risk Characteristics:
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.
1 Month Trailing Return
4.24%
Represents the percentage change in asset value over the past month.
3 Month Trailing Return
5.55%
Indicates the percentage change in asset value over the last three months.
Period Max Drawdown
34.87%
The highest percentage drop from the peak value to the lowest point during the observed period.
Standard Deviation
132.85%
Shows how much the asset’s daily returns deviate from the average, annualized for the entire period.
Sharpe Ratio
0.78
Measures the average return earned in excess of the risk-free rate per unit of volatility, annualized.
Calmar Ratio
2.98
The ratio of the annualized return to the maximum drawdown, reflecting the return per unit of risk.
Asset Technical Analysis
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
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 | |
|---|---|
| SMA | |
| EMA | |
| WMA | |
| WEMA |
- SMA (Simple Moving Average): Reflects the average price over a specific number of periods.
- EMA (Exponential Moving Average): Gives more weight to recent prices, making it more responsive to new information.
- WMA (Weighted Moving Average): Assigns a weight to each price, emphasizing more recent prices.
- WEMA (Weighted Exponential Moving Average): Combines elements of both WMA and EMA for a more responsive moving average.
Pivot Support and Resistance Levels
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 |
|---|---|---|---|---|---|---|---|
- Classic Pivot Points: Derived from the high, low, and close of the previous period to predict support and resistance.
- Fibonacci Pivot Points: Uses Fibonacci levels to calculate support and resistance.
- Camarilla Pivot Points: Uses a different formula to calculate levels based on the previous period’s high, low, and close.
- Floor Pivot Points: Based on the floor theory, with adjustments for support and resistance levels.
- Woodies Pivot Points: Uses a formula incorporating the previous period's open price.
- DeMark Pivot Points: Employs DeMark's method which varies depending on the closing price relative to the opening price.
Technical Indicators
Technical Indicators are tools used to analyze market trends and make predictions. Here’s a summary of some key indicators:
| Indicator | Value | Details |
|---|---|---|
|
|
|
- ADL (Accumulation/Distribution Line): Measures the cumulative flow of money into and out of a security.
- ForceIndex: Combines price and volume to gauge the power of price movements.
- MFI (Money Flow Index): Indicates the direction of money flow into and out of a security.
- OBV (On-Balance Volume): Uses volume flow to predict changes in stock price.
- VWAP (Volume Weighted Average Price): Shows the average price a security has traded at throughout the day, based on volume and price.
- VolumeProfile: Analyzes trading volume at different price levels over a specific period.
- ADX (Average Directional Index): Measures the strength of a trend.
- ATR (Average True Range): Reflects market volatility by measuring the average range of price movement.
- Ichimoku Cloud: Provides information about support and resistance levels, trend direction, and momentum.
- KST (Know Sure Thing): A momentum indicator that combines four different momentum measurements.
- PSAR (Parabolic SAR): Indicates potential reversals in the market.
- ROC (Rate of Change): Measures the percentage change in price over a specific period.
- Stochastic: Measures the level of the closing price relative to the high-low range over a period.
- StochasticRSI: Combines RSI with Stochastic Oscillator to gauge the RSI level’s relative position.
- TRIX: Shows the percentage change in a triple-smoothed moving average.
- WilliamR: Indicates overbought and oversold conditions.
- MACD (Moving Average Convergence Divergence): Shows the relationship between two moving averages of a security's price.
- AO (Awesome Oscillator): Measures market momentum by comparing a 34-period and a 5-period simple moving average.
- CCI (Commodity Channel Index): Measures the deviation of the price from its average over a period.
- RSI (Relative Strength Index): Indicates overbought or oversold conditions by comparing recent gains and losses.
- BB (Bollinger Bands): Indicates volatility and potential overbought or oversold conditions based on price bands.
- Keltner Channels: Similar to Bollinger Bands but uses average true range for bands.
Candlestick Patterns Analysis
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.
Scanned Candlestick Patterns
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.
Patterns Detected
| Timestamp | Pattern | Found |
|---|---|---|
Detectable Candlestick Patterns
| Pattern | Support |
|---|---|
Historical Prices
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 | 11.82 | 11.83 | 11.80 | 11.80 | 43,943 | 11.82 | -0.02 -0.17% |
| 09/16/2024 06:00 PM | 11.81 | 11.83 | 11.81 | 11.83 | 250 | 11.82 | +0.02 +0.17% |
| 09/16/2024 05:00 PM | 11.86 | 11.86 | 11.80 | 11.80 | 400 | 11.84 | -0.06 -0.51% |
| 09/16/2024 04:00 PM | 11.90 | 11.91 | 11.90 | 11.90 | 747 | 11.90 | 0.00 0.00% |
| 09/16/2024 03:00 PM | 11.87 | 11.91 | 11.85 | 11.91 | 1,193 | 11.88 | +0.04 +0.34% |
| 09/16/2024 02:00 PM | 11.77 | 11.90 | 11.76 | 11.88 | 1,200 | 11.78 | +0.11 +0.93% |
| 09/13/2024 07:00 PM | 11.70 | 11.71 | 11.69 | 11.69 | 2,023 | 11.70 | -0.01 -0.09% |
| 09/13/2024 06:00 PM | 11.72 | 11.72 | 11.72 | 11.72 | 100 | 11.72 | 0.00 0.00% |
| 09/13/2024 05:00 PM | 11.66 | 11.70 | 11.66 | 11.66 | 900 | 11.67 | 0.00 0.00% |
| 09/13/2024 04:00 PM | 11.74 | 11.76 | 11.74 | 11.75 | 12,300 | 11.75 | +0.01 +0.09% |
| 09/13/2024 03:00 PM | 11.71 | 11.72 | 11.70 | 11.71 | 5,359 | 11.71 | 0.00 0.00% |
| 09/13/2024 02:00 PM | 11.74 | 11.84 | 11.71 | 11.75 | 3,708 | 11.78 | +0.01 +0.09% |
| 09/12/2024 07:00 PM | 11.78 | 11.83 | 11.77 | 11.83 | 5,717 | 11.81 | +0.05 +0.42% |
| 09/12/2024 06:00 PM | 11.71 | 11.89 | 11.71 | 11.82 | 1,250 | 11.74 | +0.11 +0.94% |
| 09/12/2024 05:00 PM | 11.92 | 11.92 | 11.71 | 11.71 | 14,830 | 11.80 | -0.21 -1.76% |
| 09/12/2024 04:00 PM | 11.97 | 11.97 | 11.95 | 11.95 | 1,250 | 11.96 | -0.02 -0.17% |
| 09/12/2024 03:00 PM | 11.98 | 12.05 | 11.98 | 12.05 | 360 | 12.03 | +0.07 +0.58% |
| 09/12/2024 02:00 PM | 12.01 | 12.03 | 11.86 | 11.86 | 4,077 | 11.98 | -0.15 -1.25% |
| 09/11/2024 07:00 PM | 12.22 | 12.23 | 11.99 | 11.99 | 8,547 | 12.07 | -0.23 -1.88% |
| 09/11/2024 06:00 PM | 12.34 | 12.34 | 12.19 | 12.24 | 53,892 | 12.24 | -0.10 -0.81% |
| 09/11/2024 05:00 PM | 12.54 | 12.54 | 12.34 | 12.39 | 2,391 | 12.46 | -0.15 -1.20% |
| 09/11/2024 04:00 PM | 12.72 | 12.72 | 12.58 | 12.64 | 3,442 | 12.65 | -0.08 -0.63% |
| 09/11/2024 03:00 PM | 13.02 | 13.02 | 12.81 | 12.84 | 460 | 12.89 | -0.18 -1.38% |
| 09/11/2024 02:00 PM | 12.80 | 13.13 | 12.80 | 13.13 | 7,317 | 13.02 | +0.33 +2.58% |
| 09/10/2024 07:00 PM | 12.94 | 12.98 | 12.84 | 12.84 | 2,492 | 12.94 | -0.10 -0.77% |
| 09/10/2024 06:00 PM | 12.97 | 12.97 | 12.97 | 12.97 | 100 | 12.97 | 0.00 0.00% |
| 09/10/2024 04:00 PM | 13.24 | 13.24 | 13.19 | 13.19 | 550 | 13.21 | -0.05 -0.38% |
| 09/10/2024 03:00 PM | 13.08 | 13.20 | 13.08 | 13.20 | 2,839 | 13.12 | +0.12 +0.92% |
| 09/10/2024 02:00 PM | 13.02 | 13.13 | 12.94 | 13.09 | 6,837 | 13.04 | +0.07 +0.54% |
| 09/09/2024 07:00 PM | 13.32 | 13.35 | 13.31 | 13.31 | 6,437 | 13.34 | -0.01 -0.08% |
| 09/09/2024 06:00 PM | 13.44 | 13.44 | 13.42 | 13.42 | 2,300 | 13.44 | -0.02 -0.15% |
| 09/09/2024 05:00 PM | 13.27 | 13.32 | 13.23 | 13.32 | 6,504 | 13.26 | +0.05 +0.38% |
| 09/09/2024 04:00 PM | 13.36 | 13.36 | 13.31 | 13.31 | 747 | 13.34 | -0.05 -0.37% |
| 09/09/2024 03:00 PM | 13.47 | 13.47 | 13.38 | 13.38 | 750 | 13.40 | -0.09 -0.67% |
| 09/09/2024 02:00 PM | 13.31 | 13.60 | 13.26 | 13.60 | 22,060 | 13.32 | +0.29 +2.18% |
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Unlock Full Potential NowFrequently Asked Questions
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REW uses financial derivatives to achieve three times the inverse daily performance of the MSCI U.S. REIT Index. The fund rebalances daily to maintain its leverage ratio, which can lead to amplified gains in falling markets and amplified losses in rising markets.
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REW adjusts its holdings and leverage to reflect changes in the MSCI U.S. REIT Index. The ETF rebalances daily to maintain its 3x inverse leverage ratio, which involves buying or selling derivatives to achieve the desired exposure.
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Historical performance data for REW includes past returns, NAV, and volatility. This data provides insights into how well the ETF has performed relative to its target index and how its leveraged inverse strategy has impacted returns over time.
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REW is managed by Direxion, which employs a leveraged inverse strategy to achieve its objective. The fund uses financial derivatives, such as futures contracts, options, and swaps, to deliver three times the inverse daily performance of the MSCI U.S. REIT Index.
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Yes, REW can be held in retirement accounts such as IRAs or 401(k)s. However, due to its leveraged inverse nature and high volatility, it is essential to consider how it fits with your overall investment strategy and risk tolerance.
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Similar ETFs to REW include: SRS (ProShares UltraShort Real Estate), which seeks to provide two times the inverse daily performance of the Dow Jones U.S. Real Estate Index; DRV (ProShares UltraShort Real Estate), which aims to deliver three times the inverse daily performance of the Dow Jones U.S. Real Estate Index; and REK (ProShares Short Real Estate), which focuses on providing the inverse daily performance of the Dow Jones U.S. Real Estate Index, but with a single times leverage.
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REW aims to deliver three times the inverse daily performance of the MSCI U.S. REIT Index. As a leveraged inverse ETF, its performance can differ significantly from the index over longer periods due to compounding effects and daily rebalancing. It is intended for short-term trading and not for long-term holding.
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REW typically distributes dividends on a quarterly basis. These dividends are derived from the income generated by the underlying securities in the fund and any net investment income.
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Factors influencing REW’s performance include the volatility of the real estate sector, market conditions, and the performance of the underlying MSCI U.S. REIT Index. The effectiveness of the leveraged inverse strategy and daily rebalancing also play a role in performance.
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Risks include significant potential losses due to the leveraged inverse nature of the ETF. Leveraged inverse ETFs can experience high volatility and are generally more suitable for short-term trading rather than long-term investing. The daily reset of leverage can lead to performance deviations over longer periods.
Top Market Assets
Discover our curated selection of top-performing exchange-traded funds (ETFs) that represent a diverse range of investment opportunities.
SPY
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
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
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
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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