What are the best swing trades?

Screening Filters

1. Relative Volume (min: 1.5):

   • Purpose: To identify stocks with significantly higher trading activity compared to their average volume.
   • Rationale: Swing traders often look for stocks with increased trading volume as it indicates heightened interest and potential price movement, which is essential for short-term trading opportunities.

2. RSI Category (Moderate):

   • Purpose: To filter stocks with a moderate Relative Strength Index (RSI), avoiding overbought or oversold conditions.
   • Rationale: Swing traders aim to capture price movements within a range. Stocks with a moderate RSI are neither overextended nor undervalued, making them more likely to exhibit predictable price swings.

3. Moving Average Relationship (PriceAboveMA20):

   • Purpose: To find stocks where the current price is above the 20-day moving average.
   • Rationale: This indicates a short-term bullish trend, which is favorable for swing traders looking to capitalize on upward momentum over a few days or weeks.

4. Weekly Average Turnover (min: 1,000,000):

   • Purpose: To ensure the selected stocks have sufficient liquidity.
   • Rationale: High turnover ensures that swing traders can enter and exit positions easily without significantly impacting the stock price, which is critical for short-term trades.

5. Beta (HighRisk):

   • Purpose: To focus on stocks with high beta, which are more volatile compared to the overall market.
   • Rationale: Swing traders thrive on volatility, as it creates opportunities for significant price movements within a short time frame. High-beta stocks are more likely to exhibit the price swings necessary for profitable trades.

Why Results Match:

• The filters collectively focus on stocks with high trading activity, moderate RSI, and bullish momentum, which are ideal conditions for swing trading.
• By including high-beta stocks, the screener ensures that the selected stocks are volatile enough to provide meaningful price swings.
• The liquidity filter (weekly average turnover) ensures that the stocks are tradable, reducing the risk of being stuck in a position due to low volume.

These filters are well-suited to identify stocks with a higher probability of being good candidates for swing trading, aligning with the user's query.