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Conversationally interact with ChatGPT to now analyze updated prices, technical indicators, financial statements, macro-economic/company news & more for Stocks, ETFs & Cryptos
1-day Breakouts & Breakdowns [Information Technology]
Data updated 2024-Sep-06 (Friday)Quick Instructional video for this page. Collapse this after viewing by clicking How-to button above. Open in new tab
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Choose breakout/breakdown timeframe
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Scatter plot for 1-day performance as of 2024-Sep-06 close for Information Technology sector. Showing elevated Relative Volumes (At least 1.2x) only
Use widget to select sector
Calculation Methodology: Relative Volume is calculated by taking the ratio between 1-day Volume over the 5-day Volume
Relative Volume of 1.5x implies that the 1-day average daily volume was 50% more than the 5-day average daily volume
Relative Volume of 0.9x implies that the 1-day average daily volume was 10% less than the 5-day average daily volume
How to use this:
Breakouts and Breakdowns reflect action where conviction is shown by the market through strength in volume. These can be pivotal moments for a security as the move gathers momentum. Investors often use this to spot trends early
Breakouts have high relative volume & high positive performance
Breakdowns have high relative volume & low performance
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
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
Related Links for Information Technology
Dashboard : Market Pulse using broad themes (e.g. Growth vs. Value, Equities vs. Treasuries etc.)
Snapshots : Popular lists of stocks & etfs (best streaks, most beaten down etc. in last X days)
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
Performance Comparison : Chart compare/benchmark performance with multiple assets over time
Side-by-Side Comparison : Contrast with other assets over time in a side-by-side presentation
Sector : Analyze & compare Sector performance
Industry : Analyze & compare Industries within Sectors
Breakouts & Breakdowns : Identifying stocks/etfs which recently traded up/down in unusually elevated volumes Currently Viewing
Swing Volatility : Identifying stocks/etfs with elevated volatility
Advance/Decline : Sentiment using accumulated advances & declines in S&P 500 stocks
Highs/Lows : Sentiment using frequency of key highs/lows in S&P 500 stocks
Moving Average : Sentiment using frequency of S&P 500 stocks above key moving averages
Technical Distribution : Sentiment using frequency distribution of S&P 500 stocks with bullish/bearish technical levels
Snapshots : Popular lists of stocks & etfs (best streaks, most beaten down etc. in last X days)
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
Performance Comparison : Chart compare/benchmark performance with multiple assets over time
Side-by-Side Comparison : Contrast with other assets over time in a side-by-side presentation
Sector : Analyze & compare Sector performance
Industry : Analyze & compare Industries within Sectors
Breakouts & Breakdowns : Identifying stocks/etfs which recently traded up/down in unusually elevated volumes Currently Viewing
Swing Volatility : Identifying stocks/etfs with elevated volatility
Advance/Decline : Sentiment using accumulated advances & declines in S&P 500 stocks
Highs/Lows : Sentiment using frequency of key highs/lows in S&P 500 stocks
Moving Average : Sentiment using frequency of S&P 500 stocks above key moving averages
Technical Distribution : Sentiment using frequency distribution of S&P 500 stocks with bullish/bearish technical levels