For a short swingtrade

Screening Filters

1. Market Cap ≥ 200B ('market_cap': {'min': '200000000000'})

   • Purpose: Ensure only mega‑cap companies are included.
   • Rationale:
     • Your question explicitly asks for “mega-cap companies,” so a minimum market cap of $200B is a direct translation of that requirement.
     • Mega-caps tend to have higher liquidity, tighter spreads, and more stable price behavior—important for short swing trades where you want to get in and out efficiently without large slippage.

2. 1‑Week Price Change Between –5% and +5% ('week_price_change_pct': {'min': '-5', 'max': '5'})

   • Purpose: Focus on stocks that haven’t just made a big move up or crashed in the very short term.
   • Rationale:
     • For a short swing trade, you typically don’t want a stock that has already surged (limited near-term upside, higher mean-reversion risk) or one that just collapsed (may still be in a downtrend or news-driven selloff).
     • Keeping the last week’s move within –5% to +5% roughly targets names that may be consolidating or in a stable trend—often better entry points for a swing setup than extremes.
     • This is the main additional filter versus your previous “best mega companies to buy now” request, and it’s specifically tailored to the “short swing” angle.

3. Net Margin ≥ 10% ('net_margin': {'min': '10'})

   • Purpose: Screen for consistently profitable, high-quality businesses.
   • Rationale:
     • While swing trades are short-term, trading quality mega-caps reduces the chance that a sudden negative earnings or balance sheet surprise derails the trade.
     • A 10%+ net margin threshold focuses the list on companies with strong underlying profitability, which also supports more reliable analyst estimates and sentiment—important when you’re leaning on targets and consensus.

4. Return on Equity (ROE) ≥ 10% ('return_on_equity': {'min': '10'})

   • Purpose: Capture companies that use shareholder capital efficiently.
   • Rationale:
     • High-ROE mega-caps tend to be market leaders or structurally strong businesses.
     • For short swing trades, you want names the market tends to favor and “buy the dip” in; strong ROE is often associated with that kind of institutional support and resilience.

5. P/E (TTM) Between 8 and 35 ('pe_ttm': {'min': '8', 'max': '35'})

   • Purpose: Avoid extreme valuations on both ends.
   • Rationale:
     • Upper bound (≤ 35): Excludes very expensive, momentum-driven names where expectations are so high that even small disappointments can cause sharp pullbacks—unfavorable for a lower-risk swing.
     • Lower bound (≥ 8): Filters out ultra-cheap names that may be value traps, in secular decline, or highly cyclical/volatile—also not ideal for relatively “clean” swing trades in mega-caps.
     • This keeps you in a band of “reasonably” valued leaders where price action is less dominated by extreme sentiment.

6. Analyst Consensus: Strong Buy or Moderate Buy
   ('analyst_consensus': ['Strong Buy', 'Moderate Buy'])

   • Purpose: Align with positive institutional sentiment.
   • Rationale:
     • For short swings, near-term catalysts are often analyst actions (upgrades, target hikes) and positive positioning.
     • Restricting to Strong/Moderate Buy ensures the names already have constructive Wall Street views, increasing the odds of supportive flows and dip-buying rather than persistent selling pressure.

7. Target Price Above Current Price
   ('target_price_upside_potential': ['MoreAbovePrice', 'AbovePrice'])

   • Purpose: Ensure analysts’ target prices imply upside from today’s level.
   • Rationale:
     • If the consensus target is below the current price, the stock may already have run too far—unattractive for a new swing entry.
     • Requiring the target to be above the current price ties your trades to names where the Street still sees room to move higher, which aligns well with a short swing aiming to capture a portion of that perceived upside.

Why Results Match Your Request

• You asked for mega-cap companies:

  • The market cap ≥ $200B filter directly enforces this.

• You wanted them to be suitable for a short swing trade:

  • The new 1‑week price change band (–5% to +5%) avoids names that are highly extended up or down, which is a simple but effective way—given available data—to focus on more “entry-friendly” setups.
  • Quality and stability filters (net margin, ROE, and reasonable P/E) help reduce the risk of sharp, idiosyncratic drops that can hurt short-term trades.

• You asked to base this on the previous screener criteria:

  • All your original filters (mega-cap, profitability, ROE, P/E band, analyst consensus, upside vs. target price) were preserved.
  • The only addition is the 1-week performance filter, specifically introduced to better align with a short swing horizon.

About Swing-Trade-Specific Indicators

We did not add technical indicators like RSI, moving averages, MACD, or volume-based criteria because they are not part of the supported screener fields here. Instead, we approximated swing-trade suitability by:

• Controlling recent price movement (1-week change), and
• Combining that with fundamental quality and positive sentiment/upside.

This combination doesn’t guarantee a profitable swing, but it’s an effective way—within the available tools—to narrow down mega-cap names that have:

• Reasonable valuation
• Solid quality metrics
• Positive analyst backing
• No extreme recent price spike or crash

—all of which are consistent with finding candidates for short swing trades in large, liquid companies.