Show me stock that are going to Gap down

Screening Filters

1. Market Cap ≥ $300M ('market_cap': {'min': '300000000'})

   • Purpose: Focus on established, more stable companies.
   • Rationale: Very small-cap or micro-cap stocks can have erratic, illiquid moves and unreliable gap behavior. By requiring at least $300M in market cap, the screener targets names where gap-down moves are more likely to be driven by meaningful news or sentiment rather than random illiquidity.

2. Share Price ≥ $3 ('price': {'min': '3'})

   • Purpose: Avoid penny stocks and extremely low-priced names.
   • Rationale: Sub-$3 stocks often have huge percentage gaps due to tiny absolute moves and can be heavily manipulated. Filtering them out gives you gap-down candidates in more “normal” trading ranges, where technical and news-based analysis is more reliable.

3. Monthly Average Dollar Volume ≥ $300K
   ('monthly_average_dollar_volume': {'min': '300000'})

   • Purpose: Ensure sufficient liquidity for trading gap-down setups.
   • Rationale: Dollar volume combines price and volume, so a $300K minimum helps ensure you can actually enter and exit trades around the open without extreme slippage. For gap-down strategies (e.g., fade the gap, short continuation), liquidity is critical.

4. Gap Pattern = GapDown ('gap_pattern': ['GapDown'])

   • Purpose: Directly target stocks that are expected to open below the prior day’s close.
   • Rationale: This is the core of your request. The screener looks for a “GapDown” pattern—typically based on pre-market indications or price relative to yesterday’s close—so the results are stocks likely to open with a downside price gap, which you can then evaluate for short or mean-reversion trades.
   • Note: This identifies candidates that are currently indicating a gap down; it cannot guarantee they will still be gapped down at the actual open.

5. Region = United States ('region': ['United States'])

   • Purpose: Limit results to U.S.-listed securities.
   • Rationale: U.S. markets have consistent pre-market data and gap behavior, and many traders focus on these hours and rules. This aligns with typical SPY/BKR-style U.S. trading you’ve been asking about.

6. Exchanges = NYSE, NASDAQ, AMEX
   ('list_exchange': ['XNYS', 'XNAS', 'XASE'])

   • Purpose: Focus on major U.S. exchanges.
   • Rationale: These exchanges host the most liquid, regulated names. Excluding OTC and other venues reduces the chance of illiquid, hard-to-borrow, or poorly regulated stocks showing up in a “gap down” scan.

Why Results Match Your Request

• The GapDown pattern filter explicitly looks for stocks showing a downside gap expectation relative to the prior close, which is exactly what you asked for.
• The market cap, price, and liquidity filters refine that list to tradable, more reliable names where gap-down moves are likely actionable rather than random noise.
• The U.S. region and major exchange filters align with common U.S. trading setups and ensure better data quality and execution conditions.

Together, these filters give you a focused list of U.S. stocks that are currently indicating a gap down and are reasonably liquid and tradeable for gap strategies.