Asset Summary
Daily Performance Report for UWM ETF: Nov 16, 2024
Summary: The day started with UWM ETF opening at $45.45 and closing at $45.45. The ETF showed stability throughout the day, with the highest price observed at $45.45 and the lowest at $45.45. The underlying asset had a trading range of $0.00 Overall, it was a neutral trading day for UWM ETF, reflecting stability in market activity.
Change in Closing Price: There was a net no change in the closing price from the opening to the closing price over the day.
Volume Analysis: Trading volume for UWM ETF was 140 units during Nov 16, 2024, indicating active market participation and investor interest.
Opening Price: The day started at $45.45.
Highest Price: The highest price observed during the day was $45.45.
Lowest Price: The lowest price observed during the day was $45.45.
Closing Price: The day ended at $45.45.
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
0.53%
Represents the percentage change in asset value over the past month.
3 Month Trailing Return
12.90%
Indicates the percentage change in asset value over the last three months.
Period Max Drawdown
19.87%
The highest percentage drop from the peak value to the lowest point during the observed period.
Standard Deviation
41.89%
Shows how much the asset’s daily returns deviate from the average, annualized for the entire period.
Sharpe Ratio
0.71
Measures the average return earned in excess of the risk-free rate per unit of volatility, annualized.
Calmar Ratio
1.51
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 |
|---|---|---|---|---|---|---|---|
| 11/15/2024 08:00 PM | 45.15 | 45.40 | 45.15 | 45.24 | 101,604 | 45.31 | +0.09 +0.20% |
| 11/15/2024 07:00 PM | 45.11 | 45.31 | 45.03 | 45.16 | 34,432 | 45.16 | +0.05 +0.11% |
| 11/15/2024 06:00 PM | 45.35 | 45.37 | 44.99 | 45.05 | 63,055 | 45.23 | -0.30 -0.66% |
| 11/15/2024 05:00 PM | 45.66 | 45.66 | 45.21 | 45.31 | 39,978 | 45.40 | -0.35 -0.77% |
| 11/15/2024 04:00 PM | 45.37 | 45.92 | 45.37 | 45.67 | 37,730 | 45.64 | +0.30 +0.66% |
| 11/15/2024 03:00 PM | 46.06 | 46.06 | 45.36 | 45.45 | 80,847 | 45.68 | -0.61 -1.32% |
| 11/14/2024 08:00 PM | 47.09 | 47.09 | 46.38 | 46.67 | 258,281 | 46.58 | -0.42 -0.89% |
| 11/14/2024 07:00 PM | 46.79 | 47.18 | 46.79 | 47.10 | 55,653 | 46.99 | +0.31 +0.66% |
| 11/14/2024 06:00 PM | 46.86 | 46.97 | 46.76 | 46.79 | 52,680 | 46.86 | -0.07 -0.15% |
| 11/14/2024 05:00 PM | 47.26 | 47.33 | 46.67 | 46.88 | 150,402 | 46.91 | -0.38 -0.80% |
| 11/14/2024 04:00 PM | 47.58 | 47.72 | 47.23 | 47.31 | 69,041 | 47.50 | -0.27 -0.57% |
| 11/14/2024 03:00 PM | 47.55 | 47.77 | 47.42 | 47.57 | 65,524 | 47.59 | +0.02 +0.04% |
| 11/13/2024 08:00 PM | 48.23 | 48.52 | 47.87 | 47.99 | 147,979 | 48.14 | -0.24 -0.50% |
| 11/13/2024 07:00 PM | 48.92 | 49.01 | 48.21 | 48.24 | 141,099 | 48.56 | -0.68 -1.39% |
| 11/13/2024 06:00 PM | 49.28 | 49.32 | 48.91 | 48.92 | 35,716 | 49.11 | -0.36 -0.73% |
| 11/13/2024 05:00 PM | 49.35 | 49.51 | 49.16 | 49.31 | 27,269 | 49.38 | -0.04 -0.08% |
| 11/13/2024 04:00 PM | 49.71 | 49.78 | 49.35 | 49.42 | 32,434 | 49.55 | -0.29 -0.58% |
| 11/13/2024 03:00 PM | 49.67 | 49.85 | 49.02 | 49.70 | 35,393 | 49.53 | +0.03 +0.06% |
| 11/12/2024 08:00 PM | 49.00 | 49.07 | 48.74 | 48.94 | 56,738 | 48.86 | -0.06 -0.12% |
| 11/12/2024 07:00 PM | 49.15 | 49.27 | 48.98 | 48.99 | 58,876 | 49.16 | -0.16 -0.33% |
| 11/12/2024 06:00 PM | 48.58 | 49.21 | 48.58 | 49.16 | 120,453 | 48.87 | +0.58 +1.19% |
| 11/12/2024 05:00 PM | 49.06 | 49.21 | 48.58 | 48.62 | 67,053 | 48.95 | -0.44 -0.90% |
| 11/12/2024 04:00 PM | 49.67 | 49.72 | 49.08 | 49.09 | 102,199 | 49.48 | -0.58 -1.17% |
| 11/12/2024 03:00 PM | 50.42 | 50.44 | 49.67 | 49.68 | 204,385 | 50.03 | -0.74 -1.47% |
| 11/11/2024 08:00 PM | 50.61 | 50.83 | 50.54 | 50.73 | 198,661 | 50.74 | +0.12 +0.24% |
| 11/11/2024 07:00 PM | 50.73 | 50.78 | 50.60 | 50.66 | 68,131 | 50.70 | -0.07 -0.14% |
| 11/11/2024 06:00 PM | 50.85 | 50.87 | 50.22 | 50.74 | 138,985 | 50.65 | -0.11 -0.22% |
| 11/11/2024 05:00 PM | 50.92 | 51.01 | 50.70 | 50.86 | 71,143 | 50.86 | -0.06 -0.12% |
| 11/11/2024 04:00 PM | 50.63 | 50.93 | 50.45 | 50.93 | 69,805 | 50.69 | +0.30 +0.59% |
| 11/11/2024 03:00 PM | 50.25 | 50.70 | 49.98 | 50.64 | 367,887 | 50.52 | +0.39 +0.78% |
| 11/08/2024 08:00 PM | 49.26 | 49.36 | 49.03 | 49.25 | 119,028 | 49.17 | -0.01 -0.02% |
| 11/08/2024 07:00 PM | 49.07 | 49.39 | 49.02 | 49.31 | 199,610 | 49.22 | +0.24 +0.49% |
| 11/08/2024 06:00 PM | 48.88 | 49.12 | 48.74 | 49.06 | 53,707 | 49.00 | +0.18 +0.37% |
| 11/08/2024 05:00 PM | 48.72 | 48.92 | 48.53 | 48.89 | 39,963 | 48.76 | +0.17 +0.35% |
| 11/08/2024 04:00 PM | 49.00 | 49.00 | 48.70 | 48.77 | 56,986 | 48.84 | -0.23 -0.47% |
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Explore Insights NowFrequently Asked Questions
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The historical performance of UWM reflects its leveraged objective to deliver twice the daily return of the S&P MidCap 400 Index. Due to the use of leverage, UWM’s performance may be more volatile and differ significantly from the performance of the index over longer periods. Investors should review historical performance with the understanding that past performance is not indicative of future results.
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Yes, UWM can be held in retirement accounts such as IRAs or 401(k)s. However, due to its leveraged and volatile nature, it is generally recommended for short-term trading rather than long-term holding in retirement accounts.
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As of the latest update, UWM has an expense ratio of approximately 0.93%. This fee covers the cost of managing the ETF and is higher than non-leveraged ETFs due to the complexities of managing leveraged positions.
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Key performance metrics for UWM include net asset value (NAV), expense ratio, total return, and tracking error. NAV represents the per-share value of the ETF, the expense ratio is the cost of managing the fund, total return reflects overall performance including dividends, and tracking error measures how closely UWM tracks its leveraged objective relative to the S&P MidCap 400 Index.
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Factors affecting UWM’s performance include changes in the S&P MidCap 400 Index, market volatility, and the effectiveness of the fund’s leverage strategy. The ETF’s performance can also be impacted by the compounding effect of daily returns, which can cause significant deviations from the expected 200% daily return over time.
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Risks associated with investing in UWM include high volatility and the potential for significant losses due to its leveraged nature. The use of leverage can amplify both gains and losses, making UWM suitable primarily for short-term trading rather than long-term investing. Investors should be aware of the potential for significant fluctuations in value and the impact of daily rebalancing on performance.
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Similar ETFs to UWM include the ProShares UltraShort MidCap400 (SMDD), which seeks to provide -200% of the daily performance of the S&P MidCap 400 Index, and the Direxion Daily Mid Cap Bull 2X Shares (MIDU), which also aims to provide 200% of the daily performance of the S&P MidCap 400 Index.
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UWM is designed to provide 200% of the daily performance of the S&P MidCap 400 Index. This means that on any given trading day, the ETF aims to deliver twice the percentage change of the index. However, because UWM is leveraged, its long-term performance can diverge significantly from twice the performance of the index due to the effects of compounding and daily rebalancing.
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Investors can purchase shares of UWM through a brokerage account, similar to other stocks and ETFs. It is traded on the New York Stock Exchange (NYSE) under the ticker symbol "UWM."
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UWM is managed by ProShares. The fund employs a leveraged investment strategy that involves using financial derivatives and debt to amplify the returns of the S&P MidCap 400 Index. The management team seeks to provide 200% of the daily return of the index, but this leverage can also amplify losses.
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