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200-day Information Technology Summary

Data updated 2023-Dec-08 (Friday)
  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 Dec-08 (Friday)

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Sectors: Prior 200 trading days performance on 2023-Dec-08 (Friday) 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
63% ↑
37% ↓
+2.0%
47% ↑
53% ↓
+6.6%
+30.9%
-14.5%
0.9x
62.0%
48% ↑
52% ↓
+2.8%
46% ↑
54% ↓
+3.3%
+30.9%
-15.9%
0.9x
59.2%
24% ↑
76% ↓
-5.7%
33% ↑
67% ↓
-4.7%
+16.6%
-17.5%
0.9x
43.6%
40% ↑
60% ↓
-1.0%
45% ↑
55% ↓
-0.1%
+18.5%
-14.6%
1.0x
39.0%
87% ↑
13% ↓
+8.2%
43% ↑
57% ↓
-1.7%
+31.0%
-10.5%
0.9x
48.7%
49% ↑
51% ↓
-3.0%
37% ↑
63% ↓
-3.8%
+22.0%
-17.7%
1.0x
53.1%
80% ↑
20% ↓
+6.5%
70% ↑
30% ↓
+10.8%
+28.0%
-8.8%
1.0x
41.2%
76% ↑
24% ↓
+7.2%
68% ↑
32% ↓
+14.8%
+35.6%
-10.1%
1.0x
57.0%
52% ↑
48% ↓
+0.5%
44% ↑
56% ↓
-2.6%
+23.1%
-14.7%
0.9x
49.1%
63% ↑
37% ↓
+4.5%
30% ↑
70% ↓
-3.3%
+27.8%
-10.4%
1.1x
42.9%
31% ↑
69% ↓
+0.5%
24% ↑
76% ↓
-0.1%
+22.7%
-12.3%
1.0x
40.7%

Industries: Prior 200 trading days performance on 2023-Dec-08 (Friday) 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
63% ↑
37% ↓
+2.4%
58% ↑
42% ↓
+12.2%
+39.2%
-15.6%
1.0x
83.5%
100% ↑
0% ↓
+13.0%
82% ↑
18% ↓
+14.2%
+37.2%
-4.7%
0.8x
44.4%
79% ↑
21% ↓
+8.7%
71% ↑
29% ↓
+13.7%
+32.2%
-7.9%
1.1x
43.7%
57% ↑
43% ↓
+5.7%
57% ↑
43% ↓
+16.7%
+31.5%
-11.4%
0.8x
49.3%
82% ↑
18% ↓
+2.7%
64% ↑
36% ↓
+3.8%
+25.8%
-11.7%
1.0x
47.7%
80% ↑
20% ↓
+13.8%
80% ↑
20% ↓
+32.9%
+45.3%
-6.4%
0.8x
54.9%


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:  
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 relative to [SPY] SPDR S&P 500 ETF



    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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