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200-day Information Technology Summary

Data updated 2023-Oct-04 (Wednesday)
  Prior 200 trading days 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 200 trading days performance on 2023-Oct-04 (Wednesday) across various sectors . Sectors aggregated by S&P 500 stocks only
Sector SMA Distribution % off SMA 200d Direction % Change % off 200d Low % off 200d High Relative Volume Volatility
45% ↑
55% ↓
-2.2%
45% ↑
55% ↓
+12.3%
+27.0%
-19.6%
0.8x
62.7%
34% ↑
66% ↓
-7.8%
48% ↑
52% ↓
+0.3%
+19.4%
-23.4%
0.9x
60.6%
15% ↑
85% ↓
-9.5%
27% ↑
73% ↓
-10.6%
+6.3%
-19.9%
1.1x
34.9%
55% ↑
45% ↓
+0.4%
50% ↑
50% ↓
-0.1%
+19.8%
-13.9%
1.2x
39.6%
28% ↑
72% ↓
-6.3%
30% ↑
70% ↓
-8.1%
+14.7%
-21.2%
0.9x
50.0%
30% ↑
70% ↓
-6.4%
32% ↑
68% ↓
-6.2%
+13.1%
-20.4%
0.9x
44.8%
41% ↑
59% ↓
-0.8%
59% ↑
41% ↓
+8.0%
+19.1%
-15.6%
1.0x
41.2%
63% ↑
38% ↓
+1.3%
72% ↑
28% ↓
+13.7%
+29.0%
-15.4%
0.9x
55.2%
52% ↑
48% ↓
-5.4%
52% ↑
48% ↓
-4.9%
+15.2%
-19.5%
1.1x
46.9%
13% ↑
87% ↓
-10.1%
13% ↑
87% ↓
-12.9%
+9.3%
-23.2%
1.0x
43.8%
10% ↑
90% ↓
-10.2%
10% ↑
90% ↓
-13.9%
+9.2%
-21.4%
1.4x
40.7%

Industries: Prior 200 trading days 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 200d Direction % Change % off 200d Low % off 200d High Relative Volume Volatility
47% ↑
53% ↓
-1.3%
74% ↑
26% ↓
+17.5%
+36.7%
-20.8%
1.0x
79.3%
73% ↑
27% ↓
+2.0%
64% ↑
36% ↓
+4.0%
+23.2%
-12.6%
0.8x
43.1%
57% ↑
43% ↓
+0.1%
71% ↑
29% ↓
+11.3%
+22.7%
-14.6%
0.8x
43.9%
57% ↑
43% ↓
+4.2%
86% ↑
14% ↓
+12.6%
+28.5%
-12.1%
1.0x
46.5%
90% ↑
10% ↓
+7.5%
100% ↑
0% ↓
+32.8%
+42.3%
-11.3%
0.7x
60.6%
64% ↑
36% ↓
-0.6%
45% ↑
55% ↓
+3.3%
+17.6%
-15.9%
0.9x
41.0%


Chart Metrics by Sector: Average cumulative performance for Information Technology stocks over trailing 200-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 200-day timespan
Metrics:  
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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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