Screening Filters
Price: min $5, max $150
- Purpose: Focus on reasonably priced, actively traded stocks suitable for swing trading.
- Rationale:
- Stocks under $5 often behave like “penny stocks” with extreme volatility, poor liquidity, and higher manipulation risk—less ideal for systematic swing trades.
- Capping at $150 avoids very high-priced names where small percentage moves require large capital outlay or options to manage position size.
- This range balances volatility, accessibility, and risk control—key for short-term swing setups.
Monthly Average Dollar Volume: ≥ $1,000,000
- Purpose: Ensure sufficient liquidity for entering and exiting positions efficiently.
- Rationale:
- Dollar volume (price × volume) is a better liquidity measure than share volume alone.
- A minimum of $1M per month helps filter out thinly traded names with wide bid–ask spreads and slippage, which can quickly eat into swing-trade profits.
- Higher liquidity makes technical levels (support/resistance, breakouts) more reliable, which is important when trading over a few days.
Moving Average Relationship: PriceAboveMA200
- Purpose: Focus on stocks in a longer-term uptrend.
- Rationale:
- The 200-day moving average is a widely used benchmark for the primary trend.
- Requiring price to be above the 200-day MA means you’re scanning within an upward bias, where pullbacks and breakouts are more likely to continue higher rather than reverse.
- Swing traders often prefer “trend-following” environments where they trade in the direction of the prevailing trend, improving probability for short-term gains.
1-Week Price Change %: min 3%, max 25%
- Purpose: Capture recent momentum without extreme, blow-off moves.
- Rationale:
- A minimum of +3% in the last week ensures the stock is already showing some positive momentum, not dead money.
- Capping it at +25% avoids “overheated” names that may have already made their big move and could be prone to sharp snap-backs—riskier for entries “tomorrow.”
- This range targets healthy, active movers ideal for 2–10 day swing setups, not slow grinders or parabolic spikes.
Region: United States
- Purpose: Match your focus on the US stock market.
- Rationale:
- Ensures all results are US-listed companies, aligning with your request and typical US trading hours/liquidity profiles.
- Avoids cross-border issues like different regulations, time zones, and currency risk that aren’t relevant to your question.
List Exchange: XNYS, XNAS, XASE (NYSE, Nasdaq, NYSE American)
- Purpose: Restrict to major US exchanges with better transparency and liquidity.
- Rationale:
- NYSE and Nasdaq (and to a lesser extent NYSE American) host most institutional-quality names.
- Excludes OTC/pink sheet stocks, which are usually less liquid, more volatile, and riskier—less suitable for disciplined swing trading.
- Supports more reliable execution and chart behavior.
One-Week Predicted Return: min 0%, max 100%
- Purpose: Favor names where the model indicates non-negative expected returns over the next week.
- Rationale:
- Minimum 0% means the prediction model is not expecting a decline over the coming week, aligning with your goal of finding bullish swing opportunities.
- The max 100% is mostly a sanity bound to avoid unrealistic model outliers; it doesn’t constrain typical trades but prevents absurd projections.
- This filter adds a quantitative “forward-looking” layer on top of pure technical and liquidity criteria.
Why Results Match Your Request
- The trend filter (PriceAboveMA200) aligns with swing trading best practices: trading in the direction of the dominant trend.
- The 1-week price change and predicted 1-week return combine recent momentum with a forward-looking edge, targeting stocks likely to continue moving in the near term—appropriate for “tomorrow” and the next few days.
- The price and dollar volume thresholds ensure the names are practical to trade (good execution, manageable position sizes) rather than illiquid or extremely expensive outliers.
- The US region and major exchanges constraints match your focus on the US stock market and keep the universe to higher-quality, actively traded names.
Together, these filters are designed to surface liquid US stocks in established uptrends, with recent positive momentum and model-indicated upside over the next week—i.e., candidates that fit typical swing trade criteria for the near term.
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.