What is todays trade for swing traders

Screening Filters

1. Price: $5 – $150

   • Purpose: Focus on reasonably priced, actively traded stocks suitable for most swing traders.
   • Rationale:
     • Stocks under $5 often behave like penny stocks: wide spreads, high volatility, and manipulation risk, which many swing traders avoid.
     • Very high-priced stocks (e.g., $400–$1000) can be harder to trade actively due to larger capital requirements per share and sometimes wider dollar-risk per share.
     • The $5–$150 range balances volatility (enough movement to swing trade) with accessibility and generally better liquidity.

2. Monthly Average Dollar Volume ≥ $1,000,000

   • Purpose: Ensure sufficient liquidity for entering and exiting trades efficiently.
   • Rationale:
     • Dollar volume = price × volume. High dollar volume typically means tighter bid–ask spreads and better order execution.
     • For swing traders who may size positions actively and place stops/targets, thinly traded stocks can cause slippage and unreliable fills, which hurts risk management.
     • A $1M+ threshold is a common baseline to filter out illiquid or obscure names.

3. Moving Average Relationship: PriceAboveMA20 & PriceAboveMA200

   • Purpose: Align trades with established uptrends and short‑term momentum.
   • Rationale:
     • PriceAboveMA200: The 200‑day moving average is a widely watched long-term trend indicator. When price is above the 200‑day MA, the stock is generally considered in a longer-term uptrend, which is favorable backdrop for swing longs.
     • PriceAboveMA20: The 20‑day MA captures short-term trend and momentum. Price above the 20‑day MA suggests recent strength and that buyers are currently in control.
     • Using both: You avoid trying to swing trade long in names that are in broader downtrends or showing recent weakness, and instead focus on stocks where both the long-term and short-term trends are supportive of a bullish swing trade.

4. Support/Resistance Relationship: PriceAroundSupport

   • Purpose: Find entries near support levels to improve reward‑to‑risk setups.
   • Rationale:
     • Swing traders often look to buy near support (a price zone where demand previously stepped in), allowing them to place relatively tight stops just below this area.
     • When price is “around support,” you are potentially entering closer to the bottom of a swing, rather than chasing extended moves.
     • This improves the potential upside relative to downside: if support holds, you can ride the next leg up; if it fails, your loss is limited by a nearby, logical stop level.

5. 1‑Month Price Change: +5% to +40%

   • Purpose: Target stocks with recent strength, but avoid names that are overextended.
   • Rationale:
     • Minimum +5%: Ensures the stock has shown some upward momentum over the last month. Swing traders generally prefer stocks that are already moving in the desired direction rather than stagnant or declining names.
     • Maximum +40%: Extremely strong 1‑month moves (e.g., +80–100%) can mean the stock is stretched and vulnerable to sharp pullbacks. For swing trading, entering after a very large, fast move increases the risk of buying near a short‑term top.
     • The +5–40% band identifies names with healthy, sustainable momentum that are more likely to continue trending without being wildly overbought.

6. One‑Week Predicted Return ≥ 0

   • Purpose: Bias results toward stocks with a model‑based expectation of non‑negative short‑term performance.
   • Rationale:
     • This implies that, based on whatever predictive or quantitative model is used, the expected 1‑week return is at least flat or positive.
     • For swing traders who often hold positions for several days to a few weeks, a positive expected 1‑week return aligns the screener with the intended holding period.
     • While not a guarantee, it filters out names where the model expects near‑term downside.

7. One‑Week Rise Probability ≥ 0

   • Purpose: Include only stocks that have some estimated probability of rising over the next week (i.e., exclude those with strictly negative biases).
   • Rationale:
     • Though the threshold of ≥0 is very permissive, it indicates the screener is using probabilistic / predictive metrics as part of the selection.
     • In practice, this field might be used alongside expected return to ensure that you’re favoring setups where the modeled directional edge is not explicitly bearish, consistent with bullish swing‑trade ideas.

Why These Results Match a Swing Trader’s Needs

• The filters combine trend (MAs, 1‑month performance), location (near support), and liquidity (dollar volume)—three core dimensions swing traders depend on.
• By requiring price above both 20‑ and 200‑day MAs and a positive 1‑month change, the screener focuses on names in established uptrends with recent momentum, which are more likely to offer follow‑through moves suitable for multi‑day to multi‑week trades.
• The “around support” condition specifically tailors results to actionable entry zones, not just strong stocks in the abstract.
• The price range and liquidity constraints ensure the stocks are practical to trade for many accounts, with manageable capital requirements and decent execution quality.
• The incorporation of short‑term predicted return and rise probability nudges the set toward names that quantitative models view favorably over roughly the same time horizon that swing traders typically care about.

Together, these filters are designed to surface stocks that are liquid, in uptrends, showing healthy momentum, and currently trading near attractive levels for initiating bullish swing trades.