Best stock for swing trade today

Screening Filters

1. Price: $10–$100

   • Purpose: Focus on mid-priced, actively traded stocks that are practical for swing trades.
   • Rationale:
     • Very low-priced stocks (under $10) can be highly volatile, illiquid, and more prone to erratic moves or manipulation—often less suitable for disciplined swing trading.
     • Extremely high-priced stocks (over $100) require more capital per share and can limit position sizing flexibility for many traders.
     • The $10–$100 range aims to balance liquidity, volatility, and accessibility.

2. Monthly Average Dollar Volume: ≥ $2,000,000

   • Purpose: Ensure strong liquidity so you can enter and exit swing trades efficiently.
   • Rationale:
     • Dollar volume (price × volume) directly measures how much money trades in and out daily/weekly.
     • A minimum of $2M suggests there is enough trading activity to get reasonable fills, tighter spreads, and less slippage—key for short-term trading strategies like swing trading.

3. Moving Average Relationship: PriceAboveMA20

   • Purpose: Target stocks in short-term uptrends.
   • Rationale:
     • The 20-day moving average is a standard short-term trend gauge used by swing traders.
     • Requiring the price to be above the 20-day MA filters for stocks already in an upward bias, which aligns with “buy strength, sell higher” swing strategies rather than trying to catch falling knives.

4. RSI Category: Moderate

   • Purpose: Avoid stocks that are extremely overbought or oversold.
   • Rationale:
     • RSI (Relative Strength Index) measures momentum.
     • “Moderate” typically means RSI is not at extreme levels (e.g., not >70 overbought and not <30 oversold).
     • For swing entries, this helps focus on names that have momentum but are not yet at exhaustion points where a sharp reversal is more likely, giving a better balance of continuation potential vs. risk of immediate pullback.

5. 1-Week Price Change: +5% to +15%

   • Purpose: Capture recent positive momentum without chasing parabolic moves.
   • Rationale:
     • A 5–15% gain over the last week indicates the stock is moving and attracting interest—ideal for swing setups that need price action.
     • Gains larger than ~15% in a single week can indicate overextended moves that may be due for a pullback rather than a continuation.
     • This range tries to find “healthy momentum” rather than unstable spikes.

6. Region: United States

   • Purpose: Match your request for US market stocks.
   • Rationale:
     • Restricts the universe to US-listed companies, aligning with your focus on the US stock market and typically more predictable trading hours, regulations, and data coverage.

7. Exchange: XNYS, XNAS, XASE

   • Purpose: Limit to major US exchanges (NYSE, NASDAQ, NYSE American).
   • Rationale:
     • These exchanges have higher listing standards and generally better liquidity and transparency compared with OTC or pink-sheet markets.
     • This improves reliability of price action and reduces some structural risks for short-term trading.

8. One-Week Rise Probability: 0–100%

   • Purpose: Include all stocks regardless of modeled rise probability, but keep the field available for further refinement.
   • Rationale:
     • The range 0–100% effectively imposes no restriction; nothing is filtered out based on this metric.
     • It’s present so that, if you later want to tighten the criteria to “higher probability of rising next week,” we can adjust it, but right now it’s not excluding candidates.

9. One-Week Predicted Return: 0–100%

   • Purpose: Include all predicted return levels while preserving the metric for potential future use.
   • Rationale:
     • Similar to rise probability, a 0–100% range does not filter anything out.
     • It keeps predictive data in the background for analysis or future stricter screens but doesn’t bias the current selection.

Why Results Match Your “Swing Trade Today” Request

• The screen focuses on liquid, mid-priced US stocks on major exchanges, which are practical and safer venues for swing trading.
• Technical filters (PriceAboveMA20, moderate RSI, and 5–15% weekly gains) emphasize short-term uptrends with active but not extreme momentum, which is typically what swing traders look for.
• Liquidity and exchange filters support quick execution and reduced slippage—critical for short holding periods.
• The probability and predicted return fields are included but not yet restrictive, keeping the universe broader while still aligning the core of the screen with swing-trading-friendly characteristics.