Suggest a few for swing trade

Screening Filters

1. Market Cap ≥ $1B (market_cap: {'min': '1000000000'})

   • Purpose: Focus on established robotics-related companies rather than tiny, highly speculative names.
   • Rationale: For swing trading, mid‑ to large‑cap names tend to have tighter spreads, more stable price action, and better institutional participation. This makes entering and exiting trades easier and reduces the chance of extreme, random volatility seen in micro-caps.

2. Monthly Average Dollar Volume ≥ $1M (monthly_average_dollar_volume: {'min': '1000000'})

   • Purpose: Ensure good liquidity so you can enter and exit swing trades without major slippage.
   • Rationale: Dollar volume (price × volume) is critical for traders. A $1M+ average means there’s enough daily trading activity that your orders are more likely to get filled at reasonable prices, which is essential for short-term trading strategies.

3. Price Above 20-Day Moving Average (moving_average_relationship: 'PriceAboveMA20')

   • Purpose: Capture stocks in a short-term uptrend.
   • Rationale: Swing traders often want to trade with the prevailing short-term trend. Price above the 20-day moving average signals recent strength and can indicate momentum or a “buy-the-dip” environment within a rising trend.

4. Price Above 200-Day Moving Average (moving_average_relationship: 'PriceAboveMA200')

   • Purpose: Filter for stocks in a longer-term uptrend.
   • Rationale: Combining price above the 20-day and 200-day moving averages focuses on names where both the long-term and short-term trends are positive. This avoids trying to swing trade bounces in structurally weak, long-term downtrends, which are riskier.

5. Moderate RSI (rsi_category: ['moderate'])

   • Purpose: Avoid stocks that are extremely overbought or oversold.
   • Rationale: For swing trading, a “moderate” RSI suggests the stock has room to move in your favor without being at a technical extreme where reversals are more likely. This helps find setups where you can still catch a swing without chasing parabolic moves.

6. Robotics Theme (themes: ['Robotics'])

   • Purpose: Restrict results specifically to robotics-related stocks, matching your sector interest.
   • Rationale: This ensures you’re getting companies directly involved in robotics (e.g., industrial automation, AI-driven robotics, components), instead of broad tech or industrial names with only tangential exposure.

7. Region = US (region: ['US'])

   • Purpose: Focus on US-listed robotics companies.
   • Rationale: US markets generally offer strong liquidity, transparency, and ease of access for most traders. For swing trading, this also means more consistent trading hours and better availability of technical and news data.

8. Exchange = NYSE / NASDAQ / AMEX (list_exchange: ['XNYS', 'XNAS', 'XASE'])

   • Purpose: Limit results to major US exchanges.
   • Rationale: These exchanges typically host higher-quality, more liquid listings with stronger regulatory standards. That improves reliability of price data and execution—again, crucial for swing trading.

9. One-Week Rise Probability ≥ 0 (one_week_rise_prob: {'min': '0'})

   • Purpose: Apply a neutral-to-positive bias from any quantitative model assessing short-term upside probability.
   • Rationale: By not allowing negative probabilities, the filter avoids names where the model suggests a short-term downside bias. Even if the threshold is low, it helps slightly tilt the list toward candidates with at least some modeled chance of rising over the next week—aligned with typical swing-trade horizons.

Why Results Match Your Swing-Trading Robotics Focus

• The theme, region, and exchange filters keep you tightly within US-listed, tradable robotics stocks—exactly your target niche.
• The trend (MA) and RSI filters emphasize names in established uptrends that are not at extreme overbought/oversold levels, which is ideal for finding swing entry points.
• The market cap and dollar volume filters prioritize liquidity and stability, making execution and risk management more practical for short- to medium-term trades.
• The one-week rise probability constraint introduces an extra layer of short-term, model-based bias toward potential upside, which aligns well with typical swing-trading timeframes.