Screening Filters
Price: $10 – $150
- Purpose: Focus on reasonably priced, actively traded US stocks suitable for typical swing-trade position sizes.
- Rationale:
- Very low-priced stocks (under $10) are often more speculative, less liquid, and prone to erratic moves and wider bid–ask spreads, which can hurt swing-trade execution.
- Extremely high-priced stocks (above $150) may require larger capital per share and can be more volatile in dollar terms, making risk management (stops, position sizing) tougher for many traders.
- This range targets mid-priced names where you can size positions flexibly and still capture meaningful percentage moves.
Monthly Average Dollar Volume ≥ $1,000,000
- Purpose: Ensure sufficient liquidity for entering and exiting swing trades without excessive slippage.
- Rationale:
- Swing traders need to move in and out over a few days to weeks; illiquid stocks can trap you or move sharply against you when you try to exit.
- Using dollar volume (price × volume) rather than just share volume better captures how much real money trades in the stock daily.
- A minimum of $1M in average dollar volume screens out thinly traded names and focuses on stocks that institutions and active traders actually transact in.
Moving Average Relationship: PriceAboveMA20 & PriceCrossAboveMA5
- Purpose: Identify stocks in short-term uptrends that have recently triggered a potential swing-trade “buy” signal.
- Rationale:
- PriceAboveMA20:
- The 20-day moving average is a common proxy for the short-term trend.
- Price above the 20-day MA suggests the stock is in an established short-term uptrend rather than in a downtrend or choppy base. Swing traders typically want to trade with the trend, not against it.
- PriceCrossAboveMA5:
- The 5-day moving average is very short-term. A recent cross above this average often indicates fresh upside momentum or a bounce starting.
- This combination (above 20-day; recently crossing above 5-day) attempts to catch stocks that are trending up but also just re-accelerating or breaking out of a brief pullback—classic swing-trade setups.
RSI Category: Moderate
- Purpose: Avoid stocks that are extremely overbought or oversold, favoring more balanced momentum conditions.
- Rationale:
- RSI (Relative Strength Index) measures recent price strength on a 0–100 scale.
- “Moderate” typically means RSI is neither very high (overbought) nor very low (oversold).
- For swing trading:
- Very high RSI can mean the move is extended and at higher risk of a pullback right after you enter.
- Very low RSI might suggest a downtrend rather than a healthy pullback in an uptrend.
- Filtering for moderate RSI prioritizes trade ideas where there’s room for the move to continue without being late to an exhausted run.
List Exchange: XNYS, XNAS, XASE (NYSE, NASDAQ, NYSE American)
- Purpose: Restrict results to major US exchanges, aligning with your request for US-market swing trades.
- Rationale:
- These exchanges host the most liquid, regulated US-listed stocks, which are typically more suitable for systematic trading strategies than OTC or foreign markets.
- This filter ensures the names are accessible to most US brokers and have better transparency, reporting, and oversight.
One-Week Predicted Return: 0% to 100%
- Purpose: Favor stocks where a predictive model estimates a positive return over the next week—the typical timeframe for many swing trades.
- Rationale:
- Swing trading is inherently short-term; a one-week prediction horizon aligns well with common swing holding periods (a few days to a couple of weeks).
- Setting the minimum at 0% ensures the model’s expectation is at least non-negative, filtering out names where the short-term forecast is negative.
- While no model can guarantee future performance, this adds a quantitative tilt toward candidates with statistically higher odds (historically) of positive short-term movement.
Why Results Match Your Swing-Trade Goal
- The exchange and price filters focus on mainstream, tradable US stocks that are practical for individual swing traders.
- The dollar volume filter ensures you’re looking at liquid names where entries and exits over a few days are feasible without large slippage.
- The moving average conditions and RSI together target stocks in short-term uptrends that have recently shown renewed strength, but are not yet in extremely overbought territory—classic characteristics of potential swing setups.
- The one-week predicted return filter adds a data-driven layer, emphasizing names with a model-based expectation of near-term upside, which is exactly the timeframe swing traders care about.
Taken together, these filters don’t identify “the one best” stock (which is unknowable in advance) but narrow the universe to a focused list of high-probability, technically favorable US stocks that fit typical swing-trading criteria.
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.