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50-day Information Technology Summary

Data updated 2023-Sep-22 (Friday)
  Prior 50-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 Sep-22 (Friday)

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Sectors: Prior 50-trading day performance on 2023-Sep-22 (Friday) across various sectors . Sectors aggregated by S&P 500 stocks only
Sector SMA Distribution % off SMA 50d Direction % Change % off 50d Low % off 50d High Relative Volume Volatility
25% ↑
75% ↓
-3.7%
25% ↑
75% ↓
-6.6%
+4.9%
-12.5%
0.8x
20.8%
5% ↑
95% ↓
-8.1%
9% ↑
91% ↓
-12.3%
+2.1%
-16.6%
1.0x
23.6%
6% ↑
94% ↓
-5.0%
15% ↑
85% ↓
-6.9%
+2.0%
-11.3%
1.0x
15.5%
55% ↑
45% ↓
+0.4%
85% ↑
15% ↓
+6.0%
+10.7%
-6.6%
1.0x
18.5%
34% ↑
66% ↓
-3.3%
36% ↑
64% ↓
-2.8%
+4.7%
-10.5%
0.8x
17.5%
21% ↑
79% ↓
-5.0%
30% ↑
70% ↓
-5.7%
+4.4%
-13.0%
0.9x
20.9%
13% ↑
87% ↓
-4.8%
22% ↑
78% ↓
-6.2%
+4.1%
-12.8%
1.0x
20.0%
17% ↑
83% ↓
-4.5%
28% ↑
72% ↓
-6.8%
+4.8%
-12.9%
0.8x
21.7%
19% ↑
81% ↓
-5.3%
26% ↑
74% ↓
-6.4%
+4.2%
-12.8%
0.9x
20.5%
7% ↑
93% ↓
-6.6%
13% ↑
87% ↓
-9.5%
+2.0%
-13.8%
1.1x
18.6%
14% ↑
86% ↓
-1.1%
14% ↑
86% ↓
-2.8%
+8.1%
-9.7%
1.0x
19.8%

Industries: Prior 50-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 50d Direction % Change % off 50d Low % off 50d High Relative Volume Volatility
0% ↑
100% ↓
-4.1%
0% ↑
100% ↓
-5.8%
+3.6%
-11.0%
0.8x
16.5%
29% ↑
71% ↓
-1.4%
57% ↑
43% ↓
-1.6%
+8.8%
-9.9%
0.7x
21.5%
55% ↑
45% ↓
-0.1%
64% ↑
36% ↓
-0.1%
+8.2%
-7.7%
0.8x
18.2%
14% ↑
86% ↓
-5.1%
14% ↑
86% ↓
-7.6%
+3.9%
-12.9%
0.9x
20.0%
9% ↑
91% ↓
-4.6%
45% ↑
55% ↓
-4.7%
+4.3%
-11.9%
0.8x
19.3%
5% ↑
95% ↓
-8.1%
11% ↑
89% ↓
-13.6%
+2.8%
-18.5%
0.8x
29.1%


Chart Metrics by Sector: Average cumulative performance for Information Technology stocks over trailing 50-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 50-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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