Strongest stock for upside swing

Note on “strongest” / “upside” language

No screen can guarantee which stocks will be “the strongest” or will go up in the very near term. What these filters do is tilt the search toward stocks that statistically and technically look favorable for upside swing trades (strong momentum, liquid, and actively traded), not guarantee outcomes.

Screening Filters

1. price: { min: 10 }

   • Purpose: Focus on mid‑priced and higher stocks, avoid very low‑priced / penny stocks.
   • Rationale:
     • Penny stocks are often illiquid, more easily manipulated, and have unreliable price action—poor candidates for a “strong” swing setup.
     • Setting a minimum around $10 tilts the universe toward more established, institutionally followed names where technical signals tend to be more meaningful.

2. monthly_average_dollar_volume: { min: 1,000,000 }

   • Purpose: Ensure there is sufficient trading activity (liquidity).
   • Rationale:
     • Dollar volume = price × volume; requiring at least $1M per day (on average) helps ensure tight spreads and the ability to enter/exit swing trades without huge slippage.
     • Strong upside swing trades typically come from stocks where institutions and active traders are participating, which shows up in higher dollar volume.

3. moving_average_relationship: [PriceAboveMA20]

   • Purpose: Require the stock to be in a short‑term uptrend.
   • Rationale:
     • Price above the 20‑day moving average is a classic definition of short‑term bullish trend.
     • For upside swing trades, you usually want to trade with the prevailing short‑term trend, not against it.

4. rsi_category: [moderate, overbought]

   • Purpose: Target stocks with strong or building momentum.
   • Rationale:
     • “Moderate” RSI often indicates healthy momentum without extreme exhaustion—good for catching ongoing swings.
     • “Overbought” RSI can indicate powerful momentum; many strong swing trades happen when strength persists (“overbought can stay overbought”) rather than mean-reverting immediately.
     • Combining with other filters helps pick momentum that may be continuing, not just peaking.

5. month_price_change_pct: { min: 25 }

   • Purpose: Focus on recent strong performers (high relative strength).
   • Rationale:
     • A minimum +25% move over the last month isolates stocks already showing strong upside behavior.
     • Swing traders often look for “leaders” with strong recent gains, as these tend to attract continued buying and have higher probability of further short‑term upside.

6. list_exchange: [XNYS, XNAS, XASE]

   • Purpose: Restrict to major U.S. exchanges (NYSE, NASDAQ, AMEX).
   • Rationale:
     • You asked for “the US stock market”; these are the primary U.S. exchanges.
     • They generally have better liquidity, stricter listing standards, and better data quality—important for reliable technical analysis and executable swing trades.

7. one_week_rise_prob: { min: 65 }

   • Purpose: Bias toward stocks with a higher statistical probability of rising over the next week.
   • Rationale:
     • This likely comes from a model or historical pattern analysis that estimates the probability of a 1‑week rise.
     • Setting a threshold of at least 65% attempts to filter for names where conditions (trend, volatility, past behavior, etc.) have historically translated into favorable short‑term outcomes—very aligned with an “upside swing” objective.

Why the Results Match Your “Strongest Upside Swing” Request

• Momentum-focused: Recent monthly gains ≥ 25%, price above 20‑day MA, and moderate/overbought RSI all target stocks already moving up strongly—key for upside swing setups.
• Short‑term upside bias: The one_week_rise_prob ≥ 65% filter directly addresses your desire for near‑term upside by selecting stocks with historically favorable short‑term conditions.
• Tradable in practice: Price ≥ $10 and dollar volume ≥ $1M keep you in more liquid, institutionally traded names where you can actually execute swing trades efficiently.
• US market only: Restricting to NYSE, NASDAQ, and AMEX lines up precisely with your focus on the U.S. stock market.

Together, these filters narrow the universe to U.S. stocks that are liquid, in short‑term uptrends, showing strong recent performance, and statistically skewed toward near‑term upside—i.e., the type of candidates swing traders typically consider “strongest” for upside swings.