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30-day Information Technology Summary

Data updated 2023-Oct-04 (Wednesday)
  Prior 30-trading day performance detail for Information Technology sector includes comparison with other sectors using S&P 500 stocks. Dive deeper analyzing 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 Oct-04 (Wednesday)

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Sectors: Prior 30-trading day performance on 2023-Oct-04 (Wednesday) across various sectors . Sectors aggregated by S&P 500 stocks only
Sector SMA Distribution % off SMA 30d Direction % Change % off 30d Low % off 30d High Relative Volume Volatility
25% ↑
75% ↓
-3.5%
35% ↑
65% ↓
-3.9%
+3.2%
-8.8%
0.9x
13.7%
4% ↑
96% ↓
-5.9%
13% ↑
88% ↓
-7.9%
+2.6%
-12.4%
1.0x
17.8%
6% ↑
94% ↓
-4.2%
9% ↑
91% ↓
-5.8%
+2.4%
-9.0%
1.1x
12.8%
0% ↑
100% ↓
-6.3%
10% ↑
90% ↓
-4.2%
+1.6%
-11.4%
1.3x
14.8%
13% ↑
87% ↓
-4.2%
30% ↑
70% ↓
-2.9%
+2.7%
-9.0%
1.1x
13.2%
19% ↑
81% ↓
-3.4%
23% ↑
77% ↓
-5.1%
+3.5%
-9.6%
1.0x
14.7%
7% ↑
93% ↓
-3.9%
13% ↑
87% ↓
-5.1%
+2.3%
-9.3%
1.1x
13.2%
13% ↑
88% ↓
-2.7%
28% ↑
72% ↓
-2.1%
+3.9%
-8.5%
1.0x
13.7%
19% ↑
81% ↓
-3.3%
30% ↑
70% ↓
-3.3%
+3.8%
-9.4%
1.2x
15.0%
0% ↑
100% ↓
-7.2%
10% ↑
90% ↓
-7.5%
+2.1%
-12.5%
1.1x
16.9%
0% ↑
100% ↓
-7.2%
3% ↑
97% ↓
-8.5%
+3.9%
-11.9%
1.3x
18.4%

Industries: Prior 30-trading day performance on 2023-Oct-04 (Wednesday) across various industries within Information Technology sector. Industries aggregated by S&P 500 stocks only
Industry SMA Distribution % off SMA 30d Direction % Change % off 30d Low % off 30d High Relative Volume Volatility
16% ↑
84% ↓
-2.8%
21% ↑
79% ↓
-3.6%
+5.1%
-10.0%
1.0x
17.2%
9% ↑
91% ↓
-2.1%
55% ↑
45% ↓
+0.3%
+2.9%
-6.0%
0.9x
9.5%
14% ↑
86% ↓
-2.6%
29% ↑
71% ↓
-3.0%
+4.3%
-9.1%
0.8x
15.0%
29% ↑
71% ↓
-1.8%
29% ↑
71% ↓
-0.5%
+2.7%
-6.4%
1.2x
9.8%
10% ↑
90% ↓
-2.9%
30% ↑
70% ↓
-0.4%
+4.0%
-8.6%
0.8x
13.9%
0% ↑
100% ↓
-3.8%
9% ↑
91% ↓
-3.4%
+2.8%
-8.7%
1.1x
12.6%


Chart Metrics by Sector: Average cumulative performance for Information Technology stocks over trailing 30-day period. Sectors aggregated by S&P 500 stocks only. Select other metrics using below drop-down box. Available metrics currently filtered by selected trailing 30-day timespan
Metrics:  
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)
    Performance comparison across sectors over timeframes using Sector SPDR ETFs



    Related Links for Information Technology
      : Market Pulse using broad themes (e.g. Growth vs. Value, Equities vs. Treasuries etc.)
      : Popular lists of stocks & etfs (best streaks, most beaten down etc. in last X days)
      : Recent performance across covered assets
      : Prior & Subsequent performance across assets on a historical date
      : Technical indicator levels across covered assets
      : Seasonal performance by calendar months across covered assets
      : Chart compare/benchmark performance with multiple assets over time
      : Contrast with other assets over time in a side-by-side presentation
      : Analyze & compare Sector performance Currently Viewing
      : Analyze & compare Industries within Sectors
      : Identifying stocks/etfs which recently traded up/down in unusually elevated volumes
      : Identifying stocks/etfs with elevated volatility
      : Sentiment using accumulated advances & declines in S&P 500 stocks
      : Sentiment using frequency of key highs/lows in S&P 500 stocks
      : Sentiment using frequency of S&P 500 stocks above key moving averages
      : Sentiment using frequency distribution of S&P 500 stocks with bullish/bearish technical levels
    Analyze market in multiple dimensions using above resources










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