Best swing trades

Screening Filters

1. monthly_average_dollar_volume ≥ 1,500,000

   • Purpose: Ensure stocks are liquid enough for easy entry/exit.
   • Rationale: For swing trading, you want to move in and out without large slippage or difficulty filling orders. A minimum average dollar volume of $1.5M narrows results to actively traded stocks where price action is more reliable and execution is more efficient.

2. moving_average_relationship: PriceAboveMA20

   • Purpose: Focus on stocks in a short‑term uptrend.
   • Rationale: Swing trades typically work best when trading in the direction of the prevailing trend. Requiring price to be above its 20‑day moving average selects names where recent price action is positive, increasing the odds that short‑term momentum can continue.

3. rsi_category: moderate (neither overbought nor oversold)

   • Purpose: Avoid chasing extremes that are likely to mean‑revert immediately.
   • Rationale: If RSI is too high (overbought), a pullback is more likely; if too low (oversold), the stock may be weak or volatile in an uncontrolled way. A “moderate” RSI places you in the middle ground: there is momentum, but the move isn’t so stretched that a sharp reversal is highly likely right away. This is ideal for swing entries aiming for the “meat” of the move, not the exact turn.

4. week_price_change_pct between 5% and 18%

   • Purpose: Capture stocks with recent upside momentum, but not parabolic blow‑offs.
   • Rationale: A 5–18% gain over the last week signals meaningful strength, a key ingredient in many swing strategies. The lower bound (5%) filters out lethargic names; the upper bound (18%) avoids extremely extended moves that are prone to fast reversals or profit‑taking, improving the risk/reward profile.

5. list_exchange: XNYS, XNAS, XASE (NYSE, NASDAQ, AMEX)

   • Purpose: Restrict to major U.S. exchanges.
   • Rationale: The user asked for the “US stock market.” NYSE, NASDAQ, and AMEX are the primary U.S. stock exchanges with higher regulatory standards, better transparency, and generally better liquidity—more suitable for swing trading than thin OTC or foreign listings.

6. one_week_rise_prob ≥ 70%

   • Purpose: Emphasize candidates with a historically higher probability of rising over the next week.
   • Rationale: This filter appears to come from a quantitative or statistical model that estimates the chance of a gain over the coming week based on past patterns. By only keeping stocks with at least a 70% modeled probability of a one‑week rise, it aligns tightly with the swing‑trader’s time horizon and goal: capture short‑term upside with favorable odds.

Why Results Match the User’s Request (“Best Swing Trades”)

• Aligned with swing time frame: The 1‑week price change and one‑week rise probability directly target the typical swing horizon of several days to a couple of weeks.
• Focus on tradable names: Volume and major‑exchange filters ensure you can execute swing trades efficiently and with lower transaction friction.
• Momentum without extreme risk: Price above the 20‑day MA and a positive, but not extreme, weekly gain capture upward momentum while RSI “moderate” and the 18% cap help avoid overextended, blow‑off moves that are more likely to snap back.
• Probability‑tilted: The ≥70% one‑week rise probability adds a quantitative layer to bias the list toward setups that historically move favorably for swing traders.