Best swing trades for toworrow

Important note: No screen can guarantee “the best swing trades for tomorrow.” What we can do is narrow the universe to stocks that statistically look favorable for short‑term swing setups (good liquidity, uptrends, constructive recent price/volume behavior), which increases probabilities but never provides certainty.

Screening Filters

1. Price: 10–120 USD

   • Purpose: Focus on mid‑priced, tradable stocks and avoid extremely cheap or extremely high‑priced names.
   • Rationale:
     • Below ~$10 you often get illiquid, news‑driven, or very speculative names that can be erratic and hard to swing trade with size.
     • Very high‑priced stocks can move in large dollar increments, which can be capital‑intensive and harder to size for many traders.
     • This range is a “sweet spot” for many swing traders: enough volatility and liquidity without penny‑stock chaos.

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

   • Purpose: Ensure sufficient liquidity for reliable entries and exits.
   • Rationale:
     • Dollar volume (price × volume) is a better measure of tradability than share volume alone.
     • A minimum of $2M/day means tighter spreads and less slippage, which is critical when entering and exiting trades over a few days.

3. Moving Average Relationship: PriceAboveMA20 & PriceAboveMA200

   • Purpose: Focus on stocks in established uptrends on both short and long time frames.
   • Rationale:
     • Above 200‑day MA: Indicates a longer‑term uptrend; you’re trading with the broader trend rather than fighting it.
     • Above 20‑day MA: Shows near‑term strength; momentum is positive on the timeframe relevant to swing trades (days–weeks).
     • Swing traders generally prefer “long” setups in stocks already trending up, as trend and momentum favor continuation moves.

4. RSI Category: Moderate

   • Purpose: Avoid stocks that are extremely overbought or oversold.
   • Rationale:
     • Very high RSI (overbought) can mean the move is already extended and vulnerable to a pullback.
     • Very low RSI (oversold) often corresponds to downtrends or breakdowns, which are riskier for long swing trades.
     • A “moderate” RSI suggests healthy, sustainable momentum with room for further upside, aligning with swing trades that might move in the next few days.

5. 1‑Week Price Change: +4% to +12%

   • Purpose: Capture stocks with recent upward momentum, but not parabolic blow‑offs.
   • Rationale:
     • A gain of 4–12% over the last week shows clear strength and interest—exactly what swing traders look for.
     • Limiting it to under ~12% avoids names that have already made extreme short‑term moves, which can be prone to sharp reversals.

6. Daily Price Change (Most Recent Day): –2% to +0.5%

   • Purpose: Find strong stocks that are currently pulling back or pausing, setting up potential entries “for tomorrow.”
   • Rationale:
     • After a strong week, a small pullback (down up to 2%) or tight consolidation (near flat) is often the ideal swing entry:
       • You’re buying into a dip or base within an uptrend rather than chasing a spike.
     • Excluding big down days avoids stocks where the trend might be breaking rather than simply pausing.

7. Exchange: XNYS, XNAS, XASE

   • Purpose: Restrict to major US exchanges (NYSE, NASDAQ, AMEX).
   • Rationale:
     • These exchanges have higher listing standards, better liquidity, tighter spreads, and more reliable data—all important for short‑term trading.
     • This matches your request for US stock market opportunities.

8. Region: United States

   • Purpose: Limit results to US‑domiciled stocks.
   • Rationale:
     • Ensures the universe directly matches “US stock market” and avoids foreign ordinaries or ADRs that may have different trading hours and liquidity patterns.

9. Comparison Between Indicators: Relative Volume > Monthly Average Dollar Volume

   • Purpose: Highlight stocks with unusually high current trading activity relative to their normal levels.
   • Rationale:
     • “Relative volume” essentially measures how today’s volume compares to typical volume.
     • Requiring it to be greater than the normal (monthly average) means:
       • There is elevated interest or a catalyst (news, earnings, sector move, etc.).
       • Higher‑than‑usual activity often precedes or accompanies short‑term price moves—ideal for swing trades keyed to near‑term action.

10. One‑Week Predicted Return: 0% to 100%

• Purpose: Exclude stocks where the model explicitly predicts a negative one‑week return.
• Rationale:
  • Setting the minimum at 0% keeps only those names where the internal model doesn’t expect losses over the next week.
  • The wide upper bound (up to 100%) avoids over‑fitting to aggressive predictions, while still tilting toward stocks not flagged as likely losers.

11. One‑Week Rise Probability: 0% to 100%

• Purpose: Essentially neutral; does not discard stocks based on model probability alone.
• Rationale:
  • The full 0–100% range means this field is being retrieved but not used to aggressively filter.
  • This avoids over‑reliance on a single model’s confidence while letting you still see these probabilities in the candidates, if available.

Why the Results Match Your Swing‑Trade Request

• Trend‑aligned: Price above both 20‑day and 200‑day MAs focuses on stocks in multi‑timeframe uptrends, a core principle of long swing trading.
• Good liquidity & tradability: Price and dollar‑volume thresholds plus major‑exchange listing ensure names you can realistically trade in and out of with manageable slippage.
• Constructive recent action:
  • Weekly gains of 4–12% show strong but not exhausted momentum.
  • Today’s small pullback/flat action suggests a potential “buy‑the‑dip” or “consolidation” entry for the next session.
• Measured momentum: Moderate RSI and exclusion of extreme movers reduce the risk of chasing overextended spikes likely to snap back.
• Near‑term activity & catalysts: Elevated relative volume flags stocks currently “in play,” which often see follow‑through moves in the next 1–3 days—exactly the swing timeframe you’re targeting.

Together, these filters don’t guarantee winners for tomorrow, but they systematically narrow the universe to US stocks with favorable short‑term technical setups that many professional swing traders look for.