S&p 500

Screening Filters

1. is_index_component = GSPC

   • Purpose: Limit the search to S&P 500 constituents.
   • Rationale: The user asked to “Analyze the S&P 500,” so this is the most direct filter. It ensures the screener only returns stocks that are actually part of the S&P 500 index, keeping the results aligned with the requested universe.

2. relative_vol >= 1.5

   • Purpose: Find stocks with elevated trading activity.
   • Rationale: Relative volume above 1.5 means a stock is trading at least 50% above its normal volume. For analyzing the S&P 500, this helps surface names that are attracting unusual attention, which can indicate stronger market interest, a catalyst, or a more active trend.

3. moving_average_relationship = PriceAboveMA20 and PriceAboveMA200

   • Purpose: Identify stocks trading above both short-term and long-term trend levels.
   • Rationale: Price above the 20-day moving average suggests short-term strength, while price above the 200-day moving average suggests longer-term bullish trend alignment. Together, these filters help focus on S&P 500 stocks that are not only active, but also technically strong.

4. macd = bullish

   • Purpose: Confirm positive momentum.
   • Rationale: A bullish MACD signal indicates improving trend momentum. This complements the moving-average filters by helping ensure the selected S&P 500 stocks are not just above trend lines, but also showing momentum supportive of further upside.

Why Results Match:

• The index component filter makes sure the universe is exactly the S&P 500.
• The volume filter highlights stocks with notable trading interest, which is useful when analyzing active names within the index.
• The moving average filters focus on stocks with both short-term and long-term technical strength.
• The bullish MACD filter adds a momentum confirmation layer, improving the odds that the selected stocks are in constructive trends.

In combination, these filters identify S&P 500 stocks that are both index members and technically strong, actively traded, and momentum-positive—a practical way to analyze the index through its strongest current constituents.