Asset Summary
Daily Performance Report for SDOW ETF: Nov 7, 2024
Summary: The day started with SDOW ETF opening at $11.84 and closing at $11.88. The ETF showed resilience throughout the day, with the highest price observed at $11.89 and the lowest at $11.84. The underlying asset had a trading range of $0.05 Overall, it was a positive trading day for SDOW ETF, reflecting investor optimism and market activity.
Change in Closing Price: There was a net increase of $0.04 or 0.34% in the closing price from the opening to the closing price over the day.
Volume Analysis: Trading volume for SDOW ETF was 42,783 units during Nov 7, 2024, indicating active market participation and investor interest.
Opening Price: The day started at $11.84.
Highest Price: The highest price observed during the day was $11.89.
Lowest Price: The lowest price observed during the day was $11.84.
Closing Price: The day ended at $11.88.
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
-11.54%
Represents the percentage change in asset value over the past month.
3 Month Trailing Return
-30.77%
Indicates the percentage change in asset value over the last three months.
Period Max Drawdown
37.93%
The highest percentage drop from the peak value to the lowest point during the observed period.
Standard Deviation
34.07%
Shows how much the asset’s daily returns deviate from the average, annualized for the entire period.
Sharpe Ratio
-1.33
Measures the average return earned in excess of the risk-free rate per unit of volatility, annualized.
Calmar Ratio
-1.19
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 |
|---|---|---|---|---|---|---|---|
| 11/06/2024 08:00 PM | 11.93 | 11.93 | 11.82 | 11.87 | 2,984,343 | 11.87 | -0.06 -0.50% |
| 11/06/2024 07:00 PM | 11.92 | 11.96 | 11.90 | 11.93 | 1,878,735 | 11.93 | +0.01 +0.08% |
| 11/06/2024 06:00 PM | 11.99 | 11.99 | 11.89 | 11.92 | 2,494,578 | 11.93 | -0.07 -0.58% |
| 11/06/2024 05:00 PM | 12.01 | 12.05 | 11.97 | 11.99 | 4,100,105 | 12.01 | -0.02 -0.17% |
| 11/06/2024 04:00 PM | 12.08 | 12.12 | 11.97 | 12.01 | 5,276,170 | 12.04 | -0.07 -0.58% |
| 11/06/2024 03:00 PM | 12.16 | 12.18 | 11.96 | 12.08 | 8,751,221 | 12.05 | -0.08 -0.66% |
| 11/05/2024 08:00 PM | 13.38 | 13.40 | 13.27 | 13.28 | 2,972,824 | 13.34 | -0.10 -0.75% |
| 11/05/2024 07:00 PM | 13.35 | 13.40 | 13.30 | 13.38 | 2,548,976 | 13.34 | +0.03 +0.22% |
| 11/05/2024 06:00 PM | 13.26 | 13.41 | 13.26 | 13.35 | 2,746,004 | 13.34 | +0.09 +0.68% |
| 11/05/2024 05:00 PM | 13.38 | 13.41 | 13.25 | 13.26 | 2,513,018 | 13.32 | -0.12 -0.90% |
| 11/05/2024 04:00 PM | 13.42 | 13.45 | 13.36 | 13.39 | 2,976,609 | 13.40 | -0.03 -0.22% |
| 11/05/2024 03:00 PM | 13.49 | 13.52 | 13.32 | 13.41 | 3,702,097 | 13.41 | -0.08 -0.59% |
| 11/04/2024 08:00 PM | 13.66 | 13.73 | 13.65 | 13.69 | 2,356,335 | 13.69 | +0.03 +0.22% |
| 11/04/2024 07:00 PM | 13.67 | 13.71 | 13.63 | 13.66 | 1,667,204 | 13.66 | -0.01 -0.07% |
| 11/04/2024 06:00 PM | 13.62 | 13.73 | 13.61 | 13.66 | 2,917,095 | 13.65 | +0.04 +0.29% |
| 11/04/2024 05:00 PM | 13.80 | 13.84 | 13.61 | 13.62 | 3,300,102 | 13.72 | -0.18 -1.30% |
| 11/04/2024 04:00 PM | 13.58 | 13.84 | 13.56 | 13.80 | 3,145,128 | 13.68 | +0.22 +1.62% |
| 11/04/2024 03:00 PM | 13.54 | 13.61 | 13.51 | 13.58 | 3,570,169 | 13.55 | +0.04 +0.30% |
| 11/01/2024 07:00 PM | 13.37 | 13.49 | 13.34 | 13.44 | 3,527,970 | 13.42 | +0.07 +0.52% |
| 11/01/2024 06:00 PM | 13.45 | 13.48 | 13.35 | 13.37 | 2,535,482 | 13.41 | -0.08 -0.59% |
| 11/01/2024 05:00 PM | 13.35 | 13.45 | 13.28 | 13.44 | 3,022,991 | 13.39 | +0.09 +0.67% |
| 11/01/2024 04:00 PM | 13.29 | 13.37 | 13.24 | 13.35 | 2,354,087 | 13.30 | +0.06 +0.45% |
| 11/01/2024 03:00 PM | 13.27 | 13.30 | 13.17 | 13.29 | 3,624,828 | 13.23 | +0.02 +0.15% |
| 11/01/2024 02:00 PM | 13.42 | 13.46 | 13.21 | 13.27 | 4,620,838 | 13.32 | -0.15 -1.12% |
| 10/31/2024 07:00 PM | 13.54 | 13.72 | 13.51 | 13.70 | 2,823,865 | 13.58 | +0.16 +1.18% |
| 10/31/2024 06:00 PM | 13.60 | 13.63 | 13.53 | 13.54 | 2,299,973 | 13.59 | -0.06 -0.44% |
| 10/31/2024 05:00 PM | 13.56 | 13.61 | 13.50 | 13.60 | 1,945,970 | 13.56 | +0.04 +0.29% |
| 10/31/2024 04:00 PM | 13.65 | 13.67 | 13.56 | 13.57 | 2,319,753 | 13.61 | -0.08 -0.59% |
| 10/31/2024 03:00 PM | 13.71 | 13.77 | 13.65 | 13.65 | 2,598,515 | 13.70 | -0.06 -0.44% |
| 10/31/2024 02:00 PM | 13.51 | 13.71 | 13.49 | 13.70 | 3,286,716 | 13.61 | +0.19 +1.41% |
| 10/30/2024 07:00 PM | 13.21 | 13.33 | 13.21 | 13.31 | 3,108,043 | 13.29 | +0.10 +0.76% |
| 10/30/2024 06:00 PM | 13.23 | 13.24 | 13.16 | 13.21 | 2,299,148 | 13.20 | -0.02 -0.15% |
| 10/30/2024 05:00 PM | 13.19 | 13.25 | 13.14 | 13.24 | 1,758,772 | 13.20 | +0.05 +0.38% |
| 10/30/2024 04:00 PM | 13.07 | 13.18 | 13.05 | 13.18 | 1,904,030 | 13.11 | +0.11 +0.84% |
| 10/30/2024 03:00 PM | 13.12 | 13.16 | 13.04 | 13.07 | 3,048,284 | 13.11 | -0.05 -0.38% |
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Maximize Results NowFrequently Asked Questions
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SDOW specifically targets three times the inverse daily performance of the DJIA. Other leveraged inverse ETFs may focus on different indices or leverage levels. For instance, SQQQ provides three times the inverse of the Nasdaq-100 Index, while SH offers a single inverse of the S&P 500 Index.
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Risks include high volatility and potential for significant losses if the DJIA rises. Due to its leveraged inverse nature, SDOW can experience large swings in value, and its performance over longer periods may not precisely reflect three times the inverse of the DJIA's performance due to compounding effects.
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SDOW has an expense ratio of approximately 0.95%. This fee covers management costs and operational expenses associated with running the ETF.
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Historical performance data for SDOW can be reviewed on financial platforms and includes past returns and NAV. It's important to evaluate the ETF’s performance with an understanding of its daily leveraged inverse exposure and compounding effects.
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SDOW is managed to achieve its goal of delivering three times the inverse daily performance of the DJIA. The fund uses leverage by employing financial derivatives such as futures contracts, options, and swaps to amplify its inverse exposure. The ETF is rebalanced daily to maintain its targeted leverage ratio.
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Factors influencing SDOW’s performance include changes in the DJIA, market conditions, and the effectiveness of the fund’s leveraged strategy. The daily rebalancing and effects of compounding can lead to performance deviations over longer periods.
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Similar ETFs to SDOW include SDS (ProShares UltraShort S&P 500), which seeks to provide twice the inverse daily performance of the S&P 500 Index, and QID (ProShares UltraShort QQQ), which aims for twice the inverse exposure to the Nasdaq-100 Index.
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SDOW adjusts its holdings and leverage daily to achieve its goal of providing three times the inverse daily performance of the DJIA. Any changes in the index’s composition are reflected in the fund’s adjustments to maintain the targeted leverage exposure.
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SDOW aims to provide three times the inverse of the DJIA's daily performance. On a daily basis, if the DJIA decreases by 1%, SDOW aims to increase by 3%. Due to daily rebalancing and the effects of compounding, performance over periods longer than one day may differ significantly from three times the inverse of the DJIA's performance.
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Key performance metrics for SDOW include its net asset value (NAV), expense ratio, total return, and tracking error. NAV indicates the per-share value of the ETF, the expense ratio reflects the cost of managing the fund, total return shows income and capital gains, and tracking error measures deviation from the fund’s target performance.
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