5-day Fin Tech Summary
Data updated 2023-Sep-22 (Friday)Prior 5-trading day performance detail for Fin Tech industry includes comparison with other industries within Information Technology sector using S&P 500 stocks. Fin Tech includes payments and financial technology services. Analyze Industries within Information Technology sector to see whats working (or not). Navigate to other sectors/industries using tables below or change comparison time periods from filter widget. Updated as of last close on Sep-22 (Friday)
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Industries: Prior 5-trading day performance on 2023-Sep-22 (Friday) across various industries within Information Technology sector. Industries aggregated by S&P 500 stocks only
| Industry | SMA Distribution | % off SMA | 5d Direction | % Change | % off 5d Low | % off 5d High | Relative Volume | Volatility |
|---|---|---|---|---|---|---|---|---|
|
|
-2.2%
|
|
-4.0%
|
+0.6%
|
-5.2%
|
0.9x
|
6.2%
|
|
|
|
-1.0%
|
|
-1.5%
|
+1.4%
|
-3.1%
|
0.9x
|
4.6%
|
|
|
|
-0.4%
|
|
-0.1%
|
+1.5%
|
-2.5%
|
0.9x
|
4.1%
|
|
|
|
-0.9%
|
|
-1.3%
|
+1.2%
|
-3.4%
|
0.9x
|
4.8%
|
|
|
|
-2.3%
|
|
-4.0%
|
+0.4%
|
-5.1%
|
1.0x
|
5.8%
|
|
|
|
-1.2%
|
|
-2.5%
|
+1.3%
|
-4.4%
|
1.0x
|
6.1%
|
Chart Metrics by Industry: Average cumulative performance for Fin Tech industry stocks within Information Technology sector over trailing 5-day period. Industries aggregated by S&P 500 stocks only. Select other metrics using below drop-down box. Available metrics currently filtered by selected trailing 5-day timespan
Use widget to select other metrics for applicable timespan
Calculation Methodology: Performance is calculated using closing price BEFORE start date (or open price for first available date in range) and closing price for end date
Daily returns shown for timespan less than 120 days
Weekly returns shown for 121 days - 2 years
Monthly returns shown for timespan > 2 years
Absolute performance (% return of each stock/index/etf over time) calculated if benchmark is blank
Relative performance calculated by subtracting % return of benchmark from % return of each line
Values are adjusted for splits (if applicable)
Values are adjusted for splits (if applicable)
Compare securities in Fin Tech industry over 5-day timeframe. Hover on cells for additional details
| Symbol | Name | Close | Volume | % Change | 5d Frequency | Rel. Volume | 5d Change | % off 5d High | % off 5d Low | 5d Volatility | Tags |
|---|
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Market Technicals : Technical indicator levels across covered assets
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Performance Comparison : Chart compare/benchmark performance with multiple assets over time
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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 Currently Viewing
Breakouts & Breakdowns : Identifying stocks/etfs which recently traded up/down in unusually elevated volumes
Swing Volatility : Identifying stocks/etfs with elevated volatility
World Explorer : Performance & Correlation between key countries across the world
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