Daily Performance Report for DDM ETF: Jan 8, 2025
Summary: The day started with DDM ETF opening at $95.65 and closing at $95.45. The ETF showed weakness throughout the day, with the highest price observed at $95.67 and the lowest at $94.2. The underlying asset had a trading range of $1.47 Overall, it was a negative trading day for DDM ETF, reflecting investor pessimism and market activity.
Change in Closing Price: There was a net decrease of $-0.20 or -0.21% in the closing price from the opening to the closing price over the day.
Volume Analysis: Trading volume for DDM ETF was 404,213 units during Jan 8, 2025, indicating active market participation and investor interest.
Opening Price: The day started at $95.65.
Highest Price: The highest price observed during the day was $95.67.
Lowest Price: The lowest price observed during the day was $94.2.
Closing Price: The day ended at $95.45.
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.
0.62%
Represents the percentage change in asset value over the past month.
0.62%
Indicates the percentage change in asset value over the last three months.
0.88%
The highest percentage drop from the peak value to the lowest point during the observed period.
15.65%
Shows how much the asset’s daily returns deviate from the average, annualized for the entire period.
2.56
Measures the average return earned in excess of the risk-free rate per unit of volatility, annualized.
45.86
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 | |
---|---|
SMA | |
EMA | |
WMA | |
WEMA |
Type/Period | 5 | 10 | 20 | 50 | 100 | 200 | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SMA | |||||||||||||
EMA | |||||||||||||
WMA | |||||||||||||
WEMA | |||||||||||||
SMA | 95.05 | 95.17 | 95.79 | NaN | NaN | NaN | |||||||
EMA | 95.17 | 95.26 | 95.37 | NaN | NaN | NaN | |||||||
WMA | 95.12 | 95.11 | 95.45 | NaN | NaN | NaN | |||||||
WEMA | 95.24 | 95.41 | 95.52 | NaN | NaN | NaN |
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 | 94.18 | 94.78 | 95.12 | 95.38 | 95.72 | 95.98 | 96.58 | |
FIBONACCI | 95.08 | 95.15 | 95.24 | 95.38 | 95.52 | 95.61 | 95.68 | |
CAMARILLA | 94.71 | 94.76 | 94.81 | 95.38 | 96.11 | 96.16 | 96.21 | |
FLOOR | 94.78 | 94.78 | 95.12 | 95.38 | 95.72 | 95.98 | 95.98 | |
WOODIES | 94.26 | 94.65 | 94.86 | 95.25 | 95.46 | 95.85 | 96.06 | |
DEMARK | 94.65 | 94.84 | 95.25 | 95.44 | 95.85 | 96.04 | 96.45 |
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 |
---|---|---|
Pattern | Support |
---|---|
Pattern | Support |
---|---|
Abandoned Baby | |
Bearish | |
Bearish Engulfing Pattern | |
Bearish Hammer Stick | |
Bearish Harami |
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 |
---|---|---|---|---|---|---|---|
08/01/2025 08:00 PM | 95.16 | 95.64 | 95.04 | 95.46 | 231,765 | 95.34 | +0.30 +0.32% |
08/01/2025 07:00 PM | 94.72 | 95.63 | 94.66 | 95.13 | 14,869 | 95.19 | +0.41 +0.43% |
08/01/2025 06:00 PM | 94.73 | 95.31 | 94.57 | 94.80 | 9,621 | 94.85 | +0.07 +0.07% |
08/01/2025 05:00 PM | 95.19 | 95.23 | 94.34 | 94.66 | 11,980 | 94.57 | -0.53 -0.56% |
08/01/2025 04:00 PM | 94.99 | 95.41 | 94.93 | 95.20 | 14,611 | 95.07 | +0.21 +0.22% |
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Take Action NowSimilar ETFs to DDM include DOG (ProShares Short Dow30), which aims to provide the inverse performance of the DJIA, and other leveraged ETFs such as UDOW (ProShares UltraPro Dow30), which targets three times (3x) the daily performance of the DJIA.
DDM specifically targets twice the daily performance of the Dow Jones Industrial Average. Other leveraged ETFs might focus on different indices, such as the S&P 500 or Nasdaq-100, or might use different levels of leverage. Each leveraged ETF has distinct characteristics based on its target index and leverage strategy.
Investors can purchase shares of DDM through a brokerage account. It is traded on major stock exchanges under the ticker symbol "DDM," and can be bought and sold like other stocks and ETFs.
Factors affecting DDM’s performance include changes in the DJIA, market conditions, and the effectiveness of the fund’s derivatives strategy. Additionally, the effects of daily rebalancing and compounding can lead to performance deviations over periods longer than one day.
DDM is actively managed to achieve its objective of delivering twice the daily performance of the DJIA. The fund uses financial derivatives, such as futures contracts and swaps, to leverage its exposure. This means that if the DJIA increases by 1% in a day, DDM aims to increase by 2%, and vice versa.
DDM aims to provide twice the daily performance of the DJIA. It does not seek to match this performance over longer periods due to the effects of daily rebalancing and compounding. Therefore, while DDM seeks to achieve 2x the daily return of the DJIA, its performance over longer periods may vary significantly.
Yes, DDM can be held in retirement accounts such as IRAs or 401(k)s. However, due to its high risk and speculative nature, it is important to consider whether it aligns with the investor’s long-term retirement strategy.
DDM typically distributes dividends on a quarterly basis. These dividends are derived from the income generated by the underlying securities and derivatives held by the ETF.
DDM has an expense ratio of approximately 0.95%. This fee covers the costs associated with managing the fund, including administrative and operational expenses.
DDM adjusts its holdings and derivatives positions daily to maintain its objective of delivering twice the daily performance of the DJIA. Changes in the index’s composition are reflected in the fund’s adjustments.
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