Suitable for swing trade?

Screening Filters

1. Volume ≥ 3,000,000 shares

   • Purpose: Ensure high liquidity so swing trades can be entered and exited quickly with tight spreads.
   • Rationale: Swing trading relies on being able to move in and out without moving the price too much or getting bad fills. A 3M+ daily volume threshold focuses on actively traded names, similar to AMKR’s trading activity, and reduces slippage risk.

2. Beta: HighRisk (high beta)

   • Purpose: Target stocks that move more than the overall market, creating larger short‑term price swings.
   • Rationale: Swing traders need volatility to generate meaningful returns over days/weeks. High‑beta stocks tend to have bigger percentage moves, both up and down. This fits the swing trading style you’re asking about (as with AMKR, which exhibits meaningful price swings), while acknowledging added risk.

3. PriceAboveMA200 (Price above 200-day moving average)

   • Purpose: Focus on stocks in a long‑term uptrend, then look for shorter‑term swings within that uptrend.
   • Rationale: Many swing traders prefer “buying dips in uptrends” instead of catching falling knives. Requiring price above the 200‑day MA filters for names where the broader trend is still positive, reducing the chance that a short‑term bounce attempt is fighting a strong long‑term downtrend—similar to how AMKR was above its 200‑day MA in your earlier analysis.

4. RSI category: moderate

   • Purpose: Avoid stocks that are extremely overbought or oversold, and instead focus on setups where a swing in either direction is still plausible.
   • Rationale: A “moderate” RSI (roughly mid‑range) suggests the stock is not at an exhaustion point. For swing trading, this can be attractive when combined with other factors: you might be catching a pullback in an uptrend before momentum picks back up, or looking for a continuation move. In AMKR’s case, an RSI in the mid‑40s is exactly that kind of “approaching oversold but not extreme” level.

5. 1‑month price change: between -15% and -3%

   • Purpose: Find stocks that are in a pullback, but not in a collapse.
   • Rationale: A moderate decline over the last month often sets up classic swing‑trade “buy the dip” opportunities in longer‑term uptrends.
     • Min -15%: Captures meaningful pullbacks that may offer upside if the longer trend resumes.
     • Max -3%: Excludes stocks that are flat or rising, focusing specifically on recent weakness that could revert.
       This closely mirrors what you were analyzing in AMKR: a stock in a long‑term uptrend, with recent softness that might present a swing entry if momentum turns.

6. Region: United States

   • Purpose: Limit results to a single regulatory and market structure environment.
   • Rationale: U.S. stocks tend to have better liquidity, tighter spreads, and more consistent data availability; many traders also have easier access to them. This makes execution and analysis more straightforward for swing trading.

7. Exchange: XNYS, XNAS, XASE (NYSE, NASDAQ, AMEX)

   • Purpose: Focus on major U.S. exchanges with higher reporting standards and better liquidity.
   • Rationale: Stocks on these exchanges generally have more stable trading, better volume, and fewer structural issues (e.g., wide spreads, odd trading halts) than OTC or very illiquid venues—important for managing risk in short‑term trades.

Why Results Match Your Swing Trading Question

• The filters collectively look for liquid, volatile U.S. stocks on major exchanges—practical requirements for executing swing trades efficiently.
• They emphasize long‑term uptrends (price above 200‑day MA) combined with a recent pullback (-15% to -3% over a month) and moderate RSI, which is a classic swing setup: buying weakness within a broader uptrend, similar to how AMKR was evaluated.
• High beta ensures enough movement for meaningful swing profits, while the volume and exchange filters ensure it’s realistically tradable.

In other words, these filters are designed to find other stocks with a technical and trading profile similar to what you were considering with AMKR, and that are structurally suitable for swing trading.