Screening Filters
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.
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.
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.
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.
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.
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.
This list is generated based on data from one or more third party data providers. It is provided for informational purposes only by Intellectia.AI, and is not investment advice or a recommendation. Intellectia does not make any warranty or guarantee relating to the accuracy, timeliness or completeness of any third-party information, and the provision of this information does not constitute a recommendation.