How about for swings?

Screening Filters

1. market_cap: min 5,000,000,000 (≥ $5B)

   • Purpose: Focus on established, institutionally followed companies.
   • Rationale: For swing trading (holding for days to weeks), larger and mid-sized companies tend to:
     • Trade more predictably and with less manipulation than small caps.
     • React more cleanly to sector- and macro-level catalysts (which is what you care about when asking which sectors to watch).
     • Have better borrow availability and tighter spreads, improving execution over multiple days.

2. market_cap_category: ['large', 'mid']

   • Purpose: Explicitly enforce the focus on mid- and large-cap names.
   • Rationale: This reinforces the previous filter and excludes micro/small caps that may move wildly on stock-specific noise rather than sector trends. For identifying sectors to monitor, you want names that actually “represent” their sector behavior.

3. monthly_average_dollar_volume: min 1,000,000 (≥ $1M per day)

   • Purpose: Ensure sufficient liquidity and trading activity.
   • Rationale: Swing traders need to:
     • Enter and exit positions without major slippage.
     • Avoid thinly traded names where price gaps can be extreme overnight.
       Using dollar volume instead of just share volume ensures we capture stocks that have enough capital flowing through them to be reliably tradable.

4. moving_average_relationship: ['PriceAboveMA20', 'PriceAboveMA200']

   • Purpose: Filter for stocks in both short-term and long-term uptrends.
   • Rationale:
     • PriceAboveMA200: Indicates a longer-term bullish trend; these are generally names in sectors that are “in favor” from an institutional and macro standpoint.
     • PriceAboveMA20: Shows near-term strength, suggesting current momentum that could carry into the next few sessions—ideal for swing setups.
       Together, these conditions bias the results toward stocks (and therefore sectors) that are already being accumulated, aligning with your interest in tomorrow’s swing opportunities rather than deep value or bottom-fishing plays.

5. sector: ['Technology', 'Consumer Cyclicals', 'Financials']

   • Purpose: Concentrate on three of the most liquid and actively traded sectors.
   • Rationale:
     • These sectors typically have high trading volume and strong sensitivity to macro news, earnings, interest rates, and sentiment—key drivers for swing moves.
     • They also line up with what traders often watch for short- to medium-term plays:
       • Technology: High beta, strong momentum, frequent catalysts (AI, chips, software, etc.).
       • Consumer Cyclicals: Tied to consumer spending and economic cycles; can move sharply on data and earnings.
       • Financials: Highly responsive to rates and macro expectations; sector rotations often start or show clearly here.
         Since you’re asking which sectors to monitor tomorrow, focusing on these three “high-velocity” sectors is consistent with looking for near-term swing opportunities.

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

   • Purpose: Restrict results to major U.S. exchanges.
   • Rationale:
     • Ensures better transparency, regulation, and liquidity.
     • Avoids OTC and less-regulated venues where spreads and execution risk can be problematic for multi-day trades.
     • These exchanges contain the key sector leaders that actually drive and reflect sector performance.

Why Results Match Your Swing-Trading Question

• The filters target liquid, institutionally traded mid- and large-cap stocks in three of the most active sectors (Tech, Consumer Cyclicals, Financials), which are exactly where short- to medium-term sector rotations and swing opportunities tend to show up first.
• By requiring price above both the 20-day and 200-day moving averages, the screener aligns with a trend-following swing style—highlighting sectors where money is currently flowing in, and which are more likely to offer follow-through beyond just tomorrow’s open.
• Liquidity (via market cap and dollar volume) plus major-exchange listing makes the results practically tradable for swing positions, not just theoretically interesting.

In short, these filters are set up to surface representative, liquid leaders in three high-potential sectors so you can focus your swing-trading attention on where the strongest sector momentum is likely to be in tomorrow’s session.