The Market Shocks Summary of all U.S. tickers presents a comprehensive risk and volatility analysis of S&P 500 stocks, designed to help investors, analysts, and portfolio managers evaluate downside exposure across varying market conditions. This page consolidates negative trading frequency, maximum single-day drawdowns, relative performance during S&P 500 up and down markets, sector-level stress behavior, and stock-specific shock metrics into a structured, data-driven framework. By combining market-wide summaries, top-risk rankings, and detailed ticker-level breakdowns, this analysis supports risk management, diversification assessment, volatility profiling, and stress-testing of U.S. equity portfolios under both bullish and bearish market environments.

SP500 Stocks’ market shock analysis

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Weekly SP500 Market round up

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Buy, Hold, and Sell Strategy

SP500 Stocks’ price closer to 52week’s low

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Market Shock Analysis - Executive Summary

This comprehensive risk assessment dashboard provides detailed market shock analysis for SP500 stocks, offering institutional-grade insights for portfolio diversification and risk management decisions. The platform tracks negative trading days, maximum drawdowns, and relative performance against the SP500 index across different market conditions.

Key metrics include total negative trading days, maximum negative shocks, and performance during SP500 upward/downward movements, enabling risk analysts to identify stocks with high sensitivity to market volatility and those demonstrating resilience during market stress.

How to Use: Start with the summary tables below (Top Ten Stocks) for quick risk profiling, then use the filtering controls to analyze specific stocks. Click any column header in the main table to sort by that metric. The data helps identify diversification opportunities and potential risk concentrations in your portfolio.

📅 Analysis Period: Sep 05, 2025 to Sep 04, 2026

📉 Most Negative Days

Stocks with highest frequency of negative trading days, indicating consistent downward pressure.

RankTickerNegative Days
1AMT251
2BLDR251
3CSGP251
4PTC251
5RCL251
6TMUS251
7VICI251
8ZBH251
9ZTS251
10ADP250

⚡ Largest Single-Day Drops

Stocks experiencing the most severe single-day declines, showing highest volatility risk.

RankTickerMax Drop
1BKNG-97.24%
2NFLX-94.65%
3KLAC-92.94%
4NOW-91.36%
5CVNA-87.42%
6CRWD-77.07%
7TTD-75.93%
8TPL-72.48%
9CSGP-69.66%
10FISV-65.41%

📊 Underperformers in Bull Markets

Stocks that frequently decline even when SP500 is rising, showing weak relative strength.

RankTickerDown Days
1AMT46
2AWK46
3BLDR46
4CCI46
5CHD46
6CL46
7CLX46
8CSGP46
9DECK46
10HRL46

🎯 Most Vulnerable in Bear Markets

Stocks suffering largest declines during SP500 downturns, showing high market correlation.

RankTickerMax Drop
1BKNG-97.24%
2NFLX-94.65%
3KLAC-92.94%
4NOW-91.36%
5CVNA-87.42%
6CRWD-77.07%
7TTD-75.93%
8TPL-72.48%
9CSGP-69.66%
10FISV-65.41%
Sl NoTickerStart DateEnd DateTotal Trading DaysTotal Negative Trading Days Of TickerTotal Negative Trading Days Of SP500 IndexNegative Trading Days Of Ticker When SP500 UpwardNegative Trading Days Of Ticker When SP500 DownwardMaximum Negative Shock Of TickerMaximum Negative Shock Of Ticker DateMaximum Negative Shock Of SP500 IndexMaximum Negative Shock Of SP500 Index DateMax Negative Shock Of Ticker When SP500 UpwardMax Negative Shock Of Ticker When SP500 Upward DateMax Negative Shock Of Ticker When SP500 DownwardMax Negative Shock Of Ticker When SP500 Downward Date
Sl NoTickerStart DateEnd DateTotal Trading DaysTotal Negative Trading Days Of TickerTotal Negative Trading Days Of SP500 IndexNegative Trading Days Of Ticker When SP500 UpwardNegative Trading Days Of Ticker When SP500 DownwardMaximum Negative Shock Of TickerMaximum Negative Shock Of Ticker DateMaximum Negative Shock Of SP500 IndexMaximum Negative Shock Of SP500 Index DateMax Negative Shock Of Ticker When SP500 UpwardMax Negative Shock Of Ticker When SP500 Upward DateMax Negative Shock Of Ticker When SP500 DownwardMax Negative Shock Of Ticker When SP500 Downward Date
1A2025-09-052026-09-0425223720542195-0.29872026-03-27-0.09102026-03-30-0.29102026-05-11-0.29872026-03-27
2AAPL2025-09-052026-09-0425221320532181-0.13822026-03-30-0.09102026-03-30-0.10242026-08-13-0.13822026-03-30
3ABBV2025-09-052026-09-0425223520541194-0.18652026-04-27-0.09102026-03-30-0.18652026-04-27-0.18522026-04-28
4ABNB2025-09-052026-09-0425221820536182-0.17212026-02-12-0.09102026-03-30-0.08382026-05-27-0.17212026-02-12
5ABT2025-09-052026-09-0425224620543203-0.39302026-05-11-0.09102026-03-30-0.39302026-05-11-0.37982026-05-12
6ACGL2025-09-052026-09-0425223620545191-0.14082026-06-02-0.09102026-03-30-0.14082026-06-02-0.13822026-06-03
7ACN2025-09-052026-09-0425224320544199-0.56872026-06-30-0.09102026-03-30-0.44672026-05-13-0.56872026-06-30
8ADBE2025-09-052026-09-0425224820544204-0.47372026-06-25-0.09102026-03-30-0.35762026-05-13-0.47372026-06-25
9ADI2025-09-052026-09-0425220920534175-0.20682026-07-29-0.09102026-03-30-0.14632026-08-04-0.20682026-07-29
10ADM2025-09-052026-09-0425222420540184-0.12292026-08-07-0.09102026-03-30-0.12292026-08-07-0.11642025-11-10
11ADP2025-09-052026-09-0425225020545205-0.36412026-04-10-0.09102026-03-30-0.33802026-04-24-0.36412026-04-10
12ADSK2025-09-052026-09-0425225020545205-0.42562026-06-22-0.09102026-03-30-0.29302026-05-13-0.42562026-06-22
13AEE2025-09-052026-09-0425222720544183-0.10512026-09-02-0.09102026-03-30-0.08562025-12-11-0.10512026-09-02
14AEP2025-09-052026-09-0425222220539183-0.12802026-08-21-0.09102026-03-30-0.09742026-06-01-0.12802026-08-21
15AES2025-09-052026-09-0425224020542198-0.18982026-03-27-0.09102026-03-30-0.17362026-05-01-0.18982026-03-27
16AFL2025-09-052026-09-0425222520542183-0.10582026-08-31-0.09102026-03-30-0.06522026-08-13-0.10582026-08-31
17AIG2025-09-052026-09-0425224220541201-0.16982026-01-21-0.09102026-03-30-0.15182026-06-01-0.16982026-01-21
18AIZ2025-09-052026-09-0425221020537173-0.12932026-03-19-0.09102026-03-30-0.07932026-04-15-0.12932026-03-19
19AJG2025-09-052026-09-0425224520544201-0.38162026-05-13-0.09102026-03-30-0.38162026-05-13-0.36422026-05-12
20AKAM2025-09-052026-09-0425222920538191-0.34782026-09-02-0.09102026-03-30-0.31402026-08-07-0.34782026-09-02
21ALB2025-09-052026-09-0425221420534180-0.47522026-07-28-0.09102026-03-30-0.43972026-08-04-0.47522026-07-28
22ALGN2025-09-052026-09-0425223320544189-0.21542026-09-01-0.09102026-03-30-0.18722026-05-14-0.21542026-09-01
23ALL2025-09-052026-09-0425222320541182-0.11482025-10-29-0.09102026-03-30-0.11092025-10-28-0.11482025-10-29
24ALLE2025-09-052026-09-0425224520542203-0.30112026-05-15-0.09102026-03-30-0.27772026-06-02-0.30112026-05-15
25AMAT2025-09-052026-09-0425218120523158-0.39712026-09-03-0.09102026-03-30-0.26072026-08-13-0.39712026-09-03
26AMCR2025-09-052026-09-0425223220544188-0.27462026-05-15-0.09102026-03-30-0.25582026-05-05-0.27462026-05-19
27AMD2025-09-052026-09-0425221520524191-0.27762026-03-03-0.09102026-03-30-0.23142026-01-09-0.27762026-03-03
28AME2025-09-052026-09-0425221520540175-0.13702026-03-30-0.09102026-03-30-0.07502026-06-01-0.13702026-03-30
29AMGN2025-09-052026-09-0425221920540179-0.16572026-05-04-0.09102026-03-30-0.15432026-06-02-0.16572026-05-04
30AMP2025-09-052026-09-0425223320539194-0.21102026-04-06-0.09102026-03-30-0.19372026-05-28-0.21102026-04-06
31AMT2025-09-052026-09-0425225120546205-0.17542026-07-06-0.09102026-03-30-0.14282026-01-09-0.17542026-07-06
32AMZN2025-09-052026-09-0425223920538201-0.21742026-02-13-0.09102026-03-30-0.09342025-12-11-0.21742026-02-13
33ANET2025-09-052026-09-0425223520540195-0.28332026-03-30-0.09102026-03-30-0.24162026-01-09-0.28332026-03-30
34AON2025-09-052026-09-0425224920545204-0.17192026-05-06-0.09102026-03-30-0.17192026-05-06-0.16732026-02-11
35AOS2025-09-052026-09-0425224320544199-0.30682026-06-01-0.09102026-03-30-0.30682026-06-01-0.30472026-05-19
36APA2025-09-052026-09-0425221620543173-0.28202026-07-01-0.09102026-03-30-0.19892026-05-08-0.28202026-07-01
37APD2025-09-052026-09-0425223720542195-0.21132025-12-09-0.09102026-03-30-0.16702025-12-11-0.21132025-12-09
38APH2025-09-052026-09-0425222420535189-0.53452026-09-03-0.09102026-03-30-0.26332026-05-11-0.53452026-09-03
39APO2025-09-052026-09-0425224020539201-0.34322026-03-12-0.09102026-03-30-0.21062026-04-15-0.34322026-03-12
40APP2025-09-052026-09-0425223520539196-0.59302026-08-24-0.09102026-03-30-0.57382026-08-13-0.59302026-08-24
41APTV2025-09-052026-09-0425224020538202-0.49522026-08-31-0.09102026-03-30-0.46182026-08-04-0.49522026-08-31
42ARE2025-09-052026-09-0425224720543204-0.53062026-04-28-0.09102026-03-30-0.52942026-04-30-0.53062026-04-28
43ARES2025-09-052026-09-0425224920544205-0.47092026-03-12-0.09102026-03-30-0.38492026-04-27-0.47092026-03-12
44ATO2025-09-052026-09-0425222720544183-0.13602026-08-31-0.09102026-03-30-0.13072026-06-01-0.13602026-08-31
45AVGO2025-09-052026-09-0425223520535200-0.28952026-03-30-0.09102026-03-30-0.19422026-01-27-0.28952026-03-30
46AVY2025-09-052026-09-0425224020543197-0.22512026-06-08-0.09102026-03-30-0.21762026-06-01-0.22512026-06-08
47AWK2025-09-052026-09-0425224920546203-0.16712026-06-01-0.09102026-03-30-0.16712026-06-01-0.15942026-06-04
48AXON2025-09-052026-09-0425224220539203-0.55512026-04-10-0.09102026-03-30-0.51542026-05-13-0.55512026-04-10
49AXP2025-09-052026-09-0425223520541194-0.24062026-03-27-0.09102026-03-30-0.19562026-05-13-0.24062026-03-27
50AZO2025-09-052026-09-0425224820543205-0.32862026-07-23-0.09102026-03-30-0.32592026-05-29-0.32862026-07-23
51BA2025-09-052026-09-0425224220543199-0.24962026-03-30-0.09102026-03-30-0.13662026-06-02-0.24962026-03-30
52BAC2025-09-052026-09-0425221220535177-0.18392026-03-13-0.09102026-03-30-0.12942026-05-13-0.18392026-03-13
53BALL2025-09-052026-09-0425222620542184-0.22342026-06-08-0.09102026-03-30-0.20752026-06-01-0.22342026-06-08
54BAX2025-09-052026-09-0425224520543202-0.35482026-03-30-0.09102026-03-30-0.31602026-05-05-0.35482026-03-30
55BBY2025-09-052026-09-0425223420542192-0.33902026-05-13-0.09102026-03-30-0.33902026-05-13-0.33002026-05-15
56BDX2025-09-052026-09-0425223920540199-0.33002026-06-22-0.09102026-03-30-0.31842026-05-11-0.33002026-06-22
57BEN2025-09-052026-09-0425222420537187-0.19212026-03-27-0.09102026-03-30-0.08482025-10-01-0.19212026-03-27
58BF-B2025-09-052026-09-0425224420545199-0.26172026-03-24-0.09102026-03-30-0.19242026-06-02-0.26172026-03-24
59BG2025-09-052026-09-0425222320540183-0.20182026-07-01-0.09102026-03-30-0.18782026-08-04-0.20182026-07-01
60BIIB2025-09-052026-09-0425222720537190-0.14342026-04-06-0.09102026-03-30-0.12512026-04-16-0.14342026-04-06
61BKNG2025-09-052026-09-0425224820544204-0.97242026-05-15-0.09102026-03-30-0.97232026-05-14-0.97242026-05-15
62BKR2025-09-052026-09-0425221720537180-0.24242026-07-02-0.09102026-03-30-0.11652026-08-07-0.24242026-07-02
63BLDR2025-09-052026-09-0425225120546205-0.57922026-09-01-0.09102026-03-30-0.51532026-05-13-0.57922026-09-01
64BLK2025-09-052026-09-0425224020540200-0.23262026-03-12-0.09102026-03-30-0.15742026-06-02-0.23262026-03-12
65BMY2025-09-052026-09-0425222220542180-0.13422026-06-18-0.09102026-03-30-0.12682026-06-02-0.13422026-06-18
66BNY2025-09-052026-09-0425219720533164-0.10152026-03-27-0.09102026-03-30-0.05002026-05-08-0.10152026-03-27
67BR2025-09-052026-09-0425224920544205-0.46852026-06-29-0.09102026-03-30-0.43742026-05-14-0.46852026-06-29
68BRK-B2025-09-052026-09-0425224320545198-0.09422026-04-22-0.09102026-03-30-0.09422026-04-22-0.08822026-03-27
69BRO2025-09-052026-09-0425224820544204-0.43332026-05-13-0.09102026-03-30-0.43332026-05-13-0.42542026-06-03
70BSX2025-09-052026-09-0425225020545205-0.60582026-07-14-0.09102026-03-30-0.55912026-06-02-0.60582026-07-14
71BX2025-09-052026-09-0425224720542205-0.45882026-03-12-0.09102026-03-30-0.39102026-06-02-0.45882026-03-12
72BXP2025-09-052026-09-0425224820545203-0.34752026-04-01-0.09102026-03-30-0.28482026-04-15-0.34752026-04-01
73C2025-09-052026-09-0425221120534177-0.14762026-03-12-0.09102026-03-30-0.07322026-08-07-0.14762026-03-12
74CAH2025-09-052026-09-0425221020538172-0.20612026-05-11-0.09102026-03-30-0.20612026-05-11-0.20582026-05-12
75CARR2025-09-052026-09-0425223920542197-0.24672026-09-01-0.09102026-03-30-0.18702025-12-23-0.24672026-09-01
76CASY2025-09-052026-09-0425219820531167-0.17912026-08-31-0.09102026-03-30-0.16072026-06-01-0.17912026-08-31
77CAT2025-09-052026-09-0425219820531167-0.26832026-09-01-0.09102026-03-30-0.20912026-08-07-0.26832026-09-01
78CB2025-09-052026-09-0425221920539180-0.09622026-06-01-0.09102026-03-30-0.09622026-06-01-0.08762026-06-03
79CBOE2025-09-052026-09-0425220920533176-0.36872026-06-29-0.09102026-03-30-0.24852026-06-02-0.36872026-06-29
80CBRE2025-09-052026-09-0425224620544202-0.27372026-06-01-0.09102026-03-30-0.27372026-06-01-0.26562026-06-03
81CCI2025-09-052026-09-0425224320546197-0.25552026-08-10-0.09102026-03-30-0.23552026-08-07-0.25552026-08-10
82CCL2025-09-052026-09-0425224820544204-0.31662026-09-01-0.09102026-03-30-0.26362026-05-13-0.31662026-09-01
83CDNS2025-09-052026-09-0425224220538204-0.29712026-09-04-0.09102026-03-30-0.22242026-08-13-0.29712026-09-04
84CDW2025-09-052026-09-0425225020545205-0.41852026-05-12-0.09102026-03-30-0.41212026-05-13-0.41852026-05-12
85CEG2025-09-052026-09-0425223820537201-0.41452026-07-01-0.09102026-03-30-0.34222026-06-01-0.41452026-07-01
86CF2025-09-052026-09-0425222720543184-0.25752026-06-23-0.09102026-03-30-0.18352026-05-29-0.25752026-06-23
87CFG2025-09-052026-09-0425221720540177-0.18322026-03-13-0.09102026-03-30-0.11292026-05-13-0.18322026-03-13
88CHD2025-09-052026-09-0425224220546196-0.14822025-12-08-0.09102026-03-30-0.13812026-05-11-0.14822025-12-08
89CHRW2025-09-052026-09-0425222020538182-0.32372026-08-21-0.09102026-03-30-0.28692026-08-07-0.32372026-08-21
90CHTR2025-09-052026-09-0425224320542201-0.56392026-07-24-0.09102026-03-30-0.50392026-06-02-0.56392026-07-24
91CI2025-09-052026-09-0425224920544205-0.21412025-10-31-0.09102026-03-30-0.13622026-04-15-0.21412025-10-31
92CIEN2025-09-052026-09-0425217820519159-0.49372026-09-03-0.09102026-03-30-0.34432026-08-04-0.49372026-09-03
93CINF2025-09-052026-09-0425222720539188-0.12412026-08-20-0.09102026-03-30-0.10082026-08-13-0.12412026-08-20
94CL2025-09-052026-09-0425223720546191-0.17482026-04-21-0.09102026-03-30-0.16942026-04-22-0.17482026-04-21
95CLX2025-09-052026-09-0425225020546204-0.32272026-05-05-0.09102026-03-30-0.32272026-05-05-0.31992026-05-04
96CMCSA2025-09-052026-09-0425225020545205-0.34852026-07-23-0.09102026-03-30-0.26142026-06-02-0.34852026-07-23
97CME2025-09-052026-09-0425222420543181-0.33052026-06-29-0.09102026-03-30-0.23262026-06-02-0.33052026-06-29
98CMG2025-09-052026-09-0425224820545203-0.33482026-06-04-0.09102026-03-30-0.30932026-06-02-0.33482026-06-04
99CMI2025-09-052026-09-0425220120528173-0.25032026-09-03-0.09102026-03-30-0.13192026-08-13-0.25032026-09-03
100CMS2025-09-052026-09-0425222920545184-0.14992026-09-01-0.09102026-03-30-0.11802026-08-13-0.14992026-09-01
101CNC2025-09-052026-09-0425221820533185-0.32732026-03-30-0.09102026-03-30-0.20462026-04-15-0.32732026-03-30
102CNP2025-09-052026-09-0425222720541186-0.13922026-08-21-0.09102026-03-30-0.10122026-08-13-0.13922026-08-21
103COF2025-09-052026-09-0425223220537195-0.31732026-03-27-0.09102026-03-30-0.29622026-05-13-0.31732026-03-27
104COHR2025-09-052026-09-0425220420524180-0.47982026-07-29-0.09102026-03-30-0.24172026-08-04-0.47982026-07-29
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📉 1. Most Negative Trading Days

This metric highlights stocks that accumulated the largest number of negative daily returns during the analysis period. A high count indicates persistent downward pressure, structural weakness, or exposure to sector-specific risks.

✔ Interpretation for Investors

  • These stocks spent more than 80% of trading days in decline, signalling sustained selling pressure.
  • Many names in this list belong to consumer staples or utilities, sectors often impacted by inflation, regulatory issues, or demand stagnation.
  • Investors should monitor:
    • Profit margin compression
    • Competitive pressures
    • Company-specific news
    • Earnings guidance

This metric does not measure the magnitude of drops—only the frequency of declines—making it ideal for identifying weak momentum stocks.

⚡ 2. Largest Single-Day Crashes

This category shows the most severe single-day declines, often linked to earnings shocks, guidance revisions, regulatory decisions, or sector-wide selloffs.

✔ Interpretation for Investors

  • Extreme drops like NFLX -91%, TTD -68%, or DECK -64% show high sensitivity to earnings or sentiment shocks.
  • These stocks usually carry higher valuation multiples → making them more vulnerable to disappointment.
  • Useful for assessing:
    • Tail-risk
    • Maximum daily exposure
    • Stop-loss positioning
    • Risk parity allocations

This section adds strong risk management value for traders.

📊 3. Underperformers in Bull Markets

This metric counts how often a stock declines on days when the S&P 500 rises — a strong indicator of weak relative strength and poor market momentum.

✔ Interpretation for Investors

  • These stocks show inverse or weak correlation with the broader market.
  • They often struggle even when sentiment is positive—dangerous signs for long-term investors.
  • Reasons may include:
    • Company-specific structural issues
    • Declining profitability
    • Sector rotation into growth/tech
    • Defensive stocks failing to keep up

This metric is extremely useful for momentum and trend-following traders.

🎯 4. Most Vulnerable in Bear Markets

This section highlights stocks that suffered the worst declines specifically during SP500 down days, exposing their sensitivity to market stress.

✔ Interpretation for Investors

  • High drops during market downturns show high beta and strong sensitivity to macro conditions.
  • Many in this list (TTD, DECK, LULU, etc.) are growth-oriented, meaning they react aggressively to rate hikes, inflation data, and earnings sentiment.
  • Useful for hedging and defensive portfolio building.

Why Market Shock Analysis Matters

Market shock indicators help investors understand:

  • price resilience
  • downside exposure
  • sentiment risk
  • volatility patterns
  • earnings sensitivity
  • how individual stocks behave vs. the index

Shock analytics are essential for:

  • Portfolio managers
  • Quantitative analysts
  • Day traders
  • Risk managers
  • Long-term investors

Methodology & Data Sources

  • Price data collected using Python + yfinance
  • Metrics calculated using pandas, numpy, and custom quant models
  • Market comparison benchmark: S&P 500 Index
  • Dataset refreshed daily after the US market close
  • Shock events include: negative returns, extreme drops, relative strength failures, and stress-day declines

Author:
Md. Kollol Hossain
Quantitative Market Analyst & Founder – CapitalInsightBD

⚠️ Important Disclaimer

Risk Warning: All investment analysis, market commentary, and trading ideas provided on this website are for educational and informational purposes only. They do not constitute financial advice, investment recommendations, or solicitations to buy or sell any securities.

Stock market investments are subject to market risks. Past performance does not guarantee future results. You should consult with qualified financial advisors and conduct your own research before making any investment decisions. The authors and website owners are not responsible for any financial losses resulting from actions taken based on the information provided.

Remember: Never invest more than you can afford to lose.