Here’s a summary of the SQL query results for NVDA:

• These values suggest that, out of 6,307 recorded trading days, there were 22 instances where the next opening price was 10% or more below the previous closing price.
• The “Big Drop Ratio” (0.003488…) represents just under 0.35%, indicating that such large overnight drops were historically rare in this dataset.

Observations

• It’s interesting that the big drops occurred relatively infrequently, which may indicate that NVDA’s price remained relatively stable in most trading sessions.
• The data covers all trading days in the query’s scope; verifying the exact date range could provide more context on economic or market factors influencing these drops.

Important Disclaimers

• This data is AI-generated and may not fully capture all market nuances. Please double-check with official sources or verify with a financial professional before making investment decisions.
• Past performance does not guarantee future results.

Below is a comprehensive markdown table showing each instance where NVDA opened at least 10% lower than its previous close, along with the subsequent minimum price and the calculated “max drawdown” from that open:

• “Drop Date” is when the open price was at least 10% below the previous close.
• “Prev Close” is the closing price of the previous trading day.
• “Next Open” is the opening price on the drop date.
• “Min Price After” is the lowest adjusted closing price seen after that drop date (within the data range).
• “Max Drawdown” is calculated as (Next Open - Min Price After) / Next Open; a negative value (as in the last row) indicates the “min price” was actually above the open price.

Brief Summary

Across NVDA’s trading history (based on the data provided): • There have been multiple periods (primarily in the early 2000s and early 2000s recession era) where overnight drops occurred and the subsequent price continued declining.
• A curious entry is the final row on 2024-08-05, where the minimum price after was higher than the drop-day open price, resulting in a negative “max drawdown” calculation.

Interesting or Unusual Observations

• The earliest drops show very low share prices (like $0.06 – $0.29). These appear to be pre-split or very old price data.
• The magnitude of the last drop in 2024 (to 92.06) is quite significant compared to earlier data, which might reflect share price growth over time.
• The negative drawdown on 2024-08-05 stands out because it implies the price never dipped below the opening price during that period.

Disclaimers

• The data comes from an AI-driven context and might contain inaccuracies.
• Market splits, adjustments, and historical data nuances could skew these numbers.
• Always cross-verify with up-to-date, official market sources. Past performance does not guarantee future results.

Here’s a summary of the historical instances when NVDA opened at least 10% below its previous closing price, along with the 6-month and 12-month returns from that drop-day’s open price.

• These rows capture every time NVDA opened at least 10% lower than the prior day’s closing price, going back to the earliest data in the table.
• Each drop lists the price 6 months afterward (and the resulting percentage change) and the price 12 months afterward (along with that change).

Observations:
• Some drops (e.g., 2002-06-26, 2008-07-03) led to negative returns through the 6- or 12-month mark, reflecting broader market conditions or company-specific factors at the time.
• Other drops (notably 2004-08-06) corresponded to significant rebounds, where the 12-month return exceeded 100%.
• Historical prices from the early 2000s appear extremely low; split adjustments or earlier volatility may explain those values.

Disclaimer:
• All values above are drawn from AI-generated context and should be independently verified before making financial decisions.
• Past performance does not guarantee future outcomes.

Aggregate Analysis of Historical NVDA Performance After 10%+ Overnight Drops

Entire Dataset (2000-2024):

1. Average Maximum Drawdown:

   • Calculated as the average of all individual max drawdowns across all drops.
   • Result: 34.04%

2. Average 6-Month Return:

   • Calculated as the average of all 6-month returns following each drop.
   • Result: 41.74%

3. Average 12-Month Return:

   • Calculated as the average of all 12-month returns following each drop.
   • Result: 56.91%

Post-January 1st, 2008:

1. Average Maximum Drawdown:

   • Result: 24.81%

2. Average 6-Month Return:

   • Result: 31.07%

3. Average 12-Month Return:

   • Result: 47.83%

Observations:

• Maximum Drawdown: The average drawdown is lower in the post-2008 period, suggesting less severe price declines following drops.
• 6-Month Return: Returns are higher in the earlier dataset, possibly due to the technology sector's growth post-2008.
• 12-Month Return: The overall dataset shows higher returns, indicating potentially stronger recoveries or growth phases earlier in NVDA's history.

Data Considerations:

• Early Data Volatility: The dataset includes early 2000s data where prices were significantly lower, which might skew averages.
• Market Context: Returns post-2008 may reflect the broader market recovery and growth in the technology sector.
• Split Adjustments: Historical prices may not be split-adjusted, which could affect absolute price comparisons.

Disclaimer:

This analysis is based on AI-generated data and should be independently verified. Past performance does not guarantee future results. Always consult with a financial advisor before making investment decisions.