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MACD Indicator for [IYE] iShares U.S. Energy ETF
Data updated 2024-Nov-22 (Friday)Analyze current daily levels of Moving Average Convergence Divergence indicator for iShares U.S. Energy ETF . Technicals are widely used by investors to gauge performance, momentum etc. See Guide for further details . To compare technicals across stocks/etfs/crypto visit technical summary . Also, view daily frequency distribution of bullish/bearish technical signals (e.g. RSI, MACD etc.) with technical sentiment report to gauge changes in aggregate across the market or a particular sector
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Anomaly Detection for iShares U.S. Energy ETF looks at key performance metrics relative to it's history (upto 10 years) for iShares U.S. Energy ETF to identify unusual levels for 2024-Nov-22:
100-day Relative Volume at 0.7x is extremely depressed. Subsequent performance over next 100 days in such cases averages +4.6% and is up 72% of the time
50-d Upswing at -0.5% is abnormally high
100-d Consistency at 62% is extremely high
50-d Consistency at 66% is extremely high
20-d Performance at +9.0% is abnormally high
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Anomaly Detection for iShares U.S. Energy ETF looks at key technical metrics relative to it's history (upto 10 years) for iShares U.S. Energy ETF to identify unusual levels for 2024-Nov-22:
Chaikin A/D at 200 Million is abnormally elevated
% off 20d SMA at +5.1% is abnormally elevated
MACD-EMA(MACD) at 0.2 is unusually elevated
% off 50d EMA at +6.2% is abnormally elevated
Slow Stochastic at 96.1 is extremely elevated
...
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Anomaly Details
Choose Technical Indicator to analyze
Recent Technical Indicator history for iShares U.S. Energy ETF use daily Moving Average Convergence Divergence (MACD) values as of Last Close (2024-Nov-22). See additional information below on calculation, interpretation etc.
Moving Average Convergence Divergence
Calculation Methodology:
Detailed calculation steps are provided in the Reference links. Values are adjusted for splits (if applicable)
MACD is calculated using the 12 & 26-period Exponential Moving Averages (EMA) of daily close levels. MACD Signal is calculated using the 9-period EMA of MACD
Detailed calculation steps are provided in the Reference links. Values are adjusted for splits (if applicable)
How to use this indicator:
Interpretation above is not comprehensive but rather just a starting point of understanding. Experienced market professionals typically use a combination of different datapoints to drive decisions. Use additional links in the References section for more details
MACD is a momentum oscillator used to understand trends. MACD above its signal line is bullish and below its signal line is bearish. Additionally, MACD crossing above zero is generally considered a bullish signal and conversely, crossing below zero is bearish
Interpretation above is not comprehensive but rather just a starting point of understanding. Experienced market professionals typically use a combination of different datapoints to drive decisions. Use additional links in the References section for more details
What about other technicals?
There are many technicals and many different settings for even the above indicators like different moving average periods selected for example. We however show only popular technical indicators with the most common configuration because they have historically gained acceptance as being the most useful. Mastering interpretation of these indicators will serve most investors well without adding clutter or noise from a large selection of less common indicators/settings. Email us if you strongly feel that there are other indicators worth adding
Frequency distribution of daily MACD values from 2022-Nov-22. Latest MACD value is 0.962 as of 2024-Nov-22. Longer frequency distribution of MACD also available (5-year deciles linked below chart)
MACD Deciles
IYE : Key Technicals 2024-Nov-22 Friday
| AD | 177 Million | ADX | 29.2 |
|---|---|---|---|
| ATR | 0.7 | CCI | 116.3 |
| MACD | 0.24 | OBV | -45.8 Million |
| OSC | 96.2 96.1 | RSI | 73 |
Anomalies AI
Anomaly Detection for iShares U.S. Energy ETF looks at key performance metrics relative to it's history (upto 10 years) for iShares U.S. Energy ETF to identify unusual levels for 2024-Nov-22:
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Anomaly Detection for iShares U.S. Energy ETF looks at key technical metrics relative to it's history (upto 10 years) for iShares U.S. Energy ETF to identify unusual levels for 2024-Nov-22:
Sign Up or Login to see more performance anomalies
Anomaly Details
Related to iShares U.S. Energy ETF
Information for iShares U.S. Energy ETF
Current Detail : Recent daily/monthly performance & benchmark comparison
Historical Detail : Historical performance & related information using Time Machine
Anomaly Detection : Investigate unusual recent performance & technicals with historical context using AI
Historical Seasonality : Seasonal performance by calendar months
Dividend History : History of Dividend Yield
Technical History : Popular Technical indicator trends (RSI, MACD etc.) Currently Viewing
Metric Deciles : Contextualizing recent performance & technical levels into historical decile buckets
Dollar Cost Averaging : Dollar Cost Average (DCA) over time in your portfolio
Moving Averages : Key Simple & Exponential Moving Averages
Historical Analogues : Insights from closest historical matches to recent performance using Artificial Intelligence
Chart Pattern Matching : Insights from similar historical charts to recent chart using Artificial Intelligence
News Stories : News stories on 2024-Nov-22 on Google
Compare iShares U.S. Energy ETF with other assets
Market Performance : Recent performance across covered assets
Historical Performance : Prior & Subsequent performance across assets on a historical date
Market Technicals : Technical indicator levels across covered assets
Market Seasonality : Seasonal performance by calendar months across covered assets
Pair Correlations : Performance Correlations with other assets
Beta : Volatility relative to the broad market
Performance Comparison : Visually compare/benchmark performance with other assets over time
Side-by-Side Comparison : Contrast with other assets over time in a side-by-side presentation