Asset Summary
Weekly Performance Report for AES ETF: Week 46, 2024
Summary: The Weekly started with AES ETF opening at $13.86 and closing at $13.97. The ETF showed resilience throughout the Weekly, with the highest price observed at $14.36 and the lowest at $13.27. The underlying asset had a trading range of $1.09 Overall, it was a positive trading Weekly for AES ETF, reflecting investor optimism and market activity.
Change in Closing Price: There was a net increase of $0.11 or 0.79% in the closing price from the opening to the closing price over the Weekly.
Volume Analysis: Trading volume for AES ETF was 73,535,449 units during Week 46, indicating active market participation and investor interest.
Opening Price: The Weekly started at $13.86.
Highest Price: The highest price observed during the Weekly was $14.36.
Lowest Price: The lowest price observed during the Weekly was $13.27.
Closing Price: The Weekly ended at $13.97.
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
-21.91%
Represents the percentage change in asset value over the past month.
3 Month Trailing Return
-19.06%
Indicates the percentage change in asset value over the last three months.
Period Max Drawdown
38.22%
The highest percentage drop from the peak value to the lowest point during the observed period.
Standard Deviation
38.70%
Shows how much the asset’s daily returns deviate from the average, annualized for the entire period.
Sharpe Ratio
-0.75
Measures the average return earned in excess of the risk-free rate per unit of volatility, annualized.
Calmar Ratio
-0.76
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 | 13.86 | 14.02 | 13.84 | 13.96 | 3,521,331 | 13.95 | +0.10 +0.72% |
| 11/15/2024 07:00 PM | 13.93 | 13.94 | 13.84 | 13.86 | 699,560 | 13.89 | -0.07 -0.50% |
| 11/15/2024 06:00 PM | 13.86 | 13.98 | 13.81 | 13.93 | 1,056,698 | 13.91 | +0.07 +0.51% |
| 11/15/2024 05:00 PM | 13.83 | 13.89 | 13.80 | 13.85 | 1,277,532 | 13.85 | +0.02 +0.14% |
| 11/15/2024 04:00 PM | 13.83 | 13.90 | 13.78 | 13.83 | 1,293,353 | 13.83 | 0.00 0.00% |
| 11/15/2024 03:00 PM | 13.95 | 13.95 | 13.75 | 13.83 | 1,748,618 | 13.85 | -0.12 -0.86% |
| 11/14/2024 08:00 PM | 14.34 | 14.34 | 13.98 | 14.00 | 4,089,263 | 14.13 | -0.34 -2.37% |
| 11/14/2024 07:00 PM | 14.07 | 14.36 | 14.06 | 14.34 | 1,896,254 | 14.27 | +0.27 +1.92% |
| 11/14/2024 06:00 PM | 14.06 | 14.26 | 14.06 | 14.07 | 2,058,869 | 14.15 | +0.01 +0.07% |
| 11/14/2024 05:00 PM | 13.79 | 14.06 | 13.79 | 14.06 | 1,266,829 | 13.91 | +0.27 +1.96% |
| 11/14/2024 04:00 PM | 13.80 | 13.81 | 13.73 | 13.79 | 713,652 | 13.78 | -0.01 -0.07% |
| 11/14/2024 03:00 PM | 13.64 | 13.83 | 13.58 | 13.80 | 969,257 | 13.72 | +0.16 +1.17% |
| 11/13/2024 08:00 PM | 13.44 | 13.65 | 13.44 | 13.63 | 3,194,254 | 13.57 | +0.19 +1.41% |
| 11/13/2024 07:00 PM | 13.46 | 13.49 | 13.40 | 13.45 | 1,133,405 | 13.45 | -0.01 -0.07% |
| 11/13/2024 06:00 PM | 13.51 | 13.51 | 13.42 | 13.46 | 1,124,540 | 13.45 | -0.05 -0.37% |
| 11/13/2024 05:00 PM | 13.46 | 13.52 | 13.39 | 13.51 | 784,504 | 13.46 | +0.05 +0.37% |
| 11/13/2024 04:00 PM | 13.50 | 13.51 | 13.41 | 13.46 | 775,126 | 13.46 | -0.04 -0.30% |
| 11/13/2024 03:00 PM | 13.48 | 13.63 | 13.44 | 13.50 | 1,084,664 | 13.54 | +0.02 +0.15% |
| 11/12/2024 08:00 PM | 13.43 | 13.53 | 13.41 | 13.45 | 3,396,413 | 13.49 | +0.02 +0.15% |
| 11/12/2024 07:00 PM | 13.38 | 13.46 | 13.35 | 13.43 | 1,089,412 | 13.40 | +0.05 +0.37% |
| 11/12/2024 06:00 PM | 13.33 | 13.40 | 13.29 | 13.38 | 1,297,605 | 13.34 | +0.05 +0.38% |
| 11/12/2024 05:00 PM | 13.43 | 13.46 | 13.27 | 13.33 | 1,201,880 | 13.36 | -0.10 -0.74% |
| 11/12/2024 04:00 PM | 13.64 | 13.65 | 13.42 | 13.44 | 1,472,534 | 13.53 | -0.20 -1.47% |
| 11/12/2024 03:00 PM | 13.93 | 13.95 | 13.64 | 13.64 | 2,502,035 | 13.79 | -0.29 -2.08% |
| 11/11/2024 08:00 PM | 13.81 | 13.94 | 13.79 | 13.90 | 4,394,548 | 13.87 | +0.09 +0.65% |
| 11/11/2024 07:00 PM | 13.76 | 13.85 | 13.73 | 13.81 | 1,135,383 | 13.79 | +0.05 +0.36% |
| 11/11/2024 06:00 PM | 13.72 | 13.78 | 13.64 | 13.76 | 1,375,598 | 13.73 | +0.04 +0.29% |
| 11/11/2024 05:00 PM | 13.82 | 13.85 | 13.68 | 13.72 | 1,919,084 | 13.76 | -0.10 -0.72% |
| 11/11/2024 04:00 PM | 13.77 | 13.89 | 13.75 | 13.82 | 1,822,296 | 13.83 | +0.05 +0.36% |
| 11/11/2024 03:00 PM | 13.74 | 13.90 | 13.73 | 13.77 | 2,676,296 | 13.82 | +0.03 +0.22% |
| 11/08/2024 08:00 PM | 13.63 | 13.65 | 13.59 | 13.60 | 4,280,079 | 13.62 | -0.03 -0.22% |
| 11/08/2024 07:00 PM | 13.62 | 13.64 | 13.58 | 13.63 | 2,054,046 | 13.61 | +0.01 +0.07% |
| 11/08/2024 06:00 PM | 13.58 | 13.68 | 13.53 | 13.63 | 1,726,590 | 13.59 | +0.05 +0.37% |
| 11/08/2024 05:00 PM | 13.80 | 13.82 | 13.55 | 13.58 | 2,750,657 | 13.71 | -0.22 -1.59% |
| 11/08/2024 04:00 PM | 13.70 | 13.83 | 13.64 | 13.80 | 2,457,693 | 13.71 | +0.10 +0.73% |
Transform Your AES Trading Now
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Maximize Results NowFrequently Asked Questions
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AES typically releases earnings reports quarterly, providing insights into financial performance, operational updates, and market conditions.
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As of the latest update, AES has a dividend yield of approximately 2.5%. The company aims to return value to shareholders through regular dividend payments.
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AES generates electricity through various sources, including natural gas, renewables such as wind and solar, and hydropower, focusing on transitioning to cleaner energy solutions.
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Key performance metrics for AES include total revenue, earnings before interest, taxes, depreciation, and amortization (EBITDA), net income, and power generation capacity.
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AES operates through various subsidiaries and joint ventures, managing a diverse portfolio of power generation and distribution facilities across multiple countries.
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Historically, AES has shown growth driven by its transition to renewable energy and strategic acquisitions, with performance reflecting broader trends in the energy sector.
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AES regularly invests in innovative technologies and projects to enhance its energy solutions, focusing on efficiency, sustainability, and meeting evolving customer needs.
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AES is committed to sustainability, investing in renewable energy projects and setting targets to reduce greenhouse gas emissions and increase energy efficiency.
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AES can be compared to other global utility companies like Duke Energy and NextEra Energy, focusing on metrics such as market share, renewable energy capacity, and financial performance.
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Similar companies include NextEra Energy, Duke Energy, and Southern Company, which also operate in the energy generation and distribution sector.
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