Screening Filters
Price: 8–12 USD
- Purpose: Focus on stocks “at or near $10.”
- Rationale: Setting the price band from $8 to $12 captures names trading roughly around $10 without being so tight that good candidates just above or below are excluded. This is the core filter that directly reflects your price target.
Monthly Average Dollar Volume: ≥ $1,000,000
- Purpose: Ensure sufficient liquidity for swing trading.
- Rationale: Swing trades work best in stocks where you can enter and exit without large slippage. A minimum of $1M in average dollar volume per month filters out thinly traded, illiquid names that can have wide spreads and unreliable price action.
Moving Average Relationship: PriceAboveMA20
- Purpose: Favor stocks in a short-term uptrend.
- Rationale: For bullish swing trades, you typically want price above a key short-term moving average (like the 20-day), which often acts as support in an uptrend. This helps avoid names in clear downtrends and favors those with constructive technical setups.
RSI Category: Moderate
- Purpose: Avoid extreme overbought or oversold conditions.
- Rationale:
- Overbought (very high RSI) can signal a short-term pullback risk right after you enter.
- Oversold (very low RSI) can mean a stock is weak or in a falling trend.
“Moderate” RSI aims for a middle ground: stocks with some momentum but not stretched, making them more suitable for a swing entry with a better risk/reward profile.
1-Month Price Change %: 5% to 25%
- Purpose: Capture healthy recent momentum without chasing parabolic moves.
- Rationale:
- A minimum gain of 5% over the last month suggests the stock is already moving in your favor and not completely stagnant.
- Capping it at 25% avoids names that may have already made a big run and are prone to sharp reversals.
This aligns with typical swing-trading preferences for “steady momentum,” not blow-off spikes.
Exchange Listing: XNYS, XNAS, XASE (NYSE, NASDAQ, AMEX)
- Purpose: Limit to major U.S. exchanges.
- Rationale: These exchanges tend to have better liquidity, tighter spreads, and stricter listing standards than OTC or pink-sheet markets. That generally means more reliable price action and lower operational risk for swing trading.
One-Week Predicted Return: 0% to 100%
- Purpose: Bias results toward names with a positive short-term outlook.
- Rationale: This uses a predictive model (likely quantitative/ML-based) that estimates one-week returns. Requiring at least 0% removes names the model expects to decline in the next week, aligning with the idea of “best swing trades” as bullish or at least neutral setups.
Why Results Match Your Request
- The price filter (8–12) directly targets stocks trading around $10, matching your dollar level.
- The combination of PriceAboveMA20, moderate RSI, and 5–25% 1-month gains focuses on technically healthy, uptrending names that are often preferred for swing trades.
- The liquidity and major-exchange filters make the list more practical for real trading (better fills, lower slippage).
- The positive one-week predicted return overlay pushes the list toward candidates that models view as having favorable near-term potential, which suits swing-trade timeframes.
This list is generated based on data from one or more third party data providers. It is provided for informational purposes only by Intellectia.AI, and is not investment advice or a recommendation. Intellectia does not make any warranty or guarantee relating to the accuracy, timeliness or completeness of any third-party information, and the provision of this information does not constitute a recommendation.