Good penny stock to flip this week

Note on “flipping this week”

No filter can guarantee a quick profit or that a stock will go up this week. What these filters do is bias the search toward U.S. penny stocks that have enough liquidity and recent momentum to increase the probability of a successful short-term flip, while trying to avoid the riskiest illiquid names.

Screening Filters

1. Price: 0.20–5.00 USD

   • Purpose: Target “penny stock” price range.
   • Rationale:
     • The user asked for penny stocks, which are generally low-priced equities.
     • A minimum of $0.20 avoids ultra-subpenny names that tend to be extremely illiquid and easily manipulated.
     • A maximum of $5 keeps us within a commonly used definition of penny/low-priced stocks, still allowing for names that are exchange-listed and somewhat more stable than OTC subpennies.

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

   • Purpose: Ensure sufficient liquidity for flipping.
   • Rationale:
     • “Flip this week” implies entering and exiting quickly without huge slippage.
     • Requiring at least $1M in average dollar volume per month helps avoid thinly traded stocks where a small order can move the price significantly and make it hard to exit at a fair price.

3. Relative Volume (relative_vol): ≥ 1.5

   • Purpose: Focus on stocks currently trading with elevated activity.
   • Rationale:
     • Relative volume ≥ 1.5 means the stock is trading at least 1.5× its typical volume.
     • Elevated volume often signals increased interest, news, or momentum—conditions that can favor short-term trading opportunities and make it easier to flip within days.

4. 1-Week Price Change (%): 5% to 40%

   • Purpose: Capture recent upward momentum but avoid extreme blow-offs.
   • Rationale:
     • A minimum +5% move over the last week indicates the stock is already showing some positive momentum, consistent with a short-term trading idea.
     • A maximum +40% helps filter out names that have already had huge spikes, which may be overextended and more prone to sharp pullbacks—riskier to “flip” after the move is largely done.

5. Region: United States

   • Purpose: Match the user’s request for the U.S. market.
   • Rationale:
     • Restricts results to companies listed in the United States, matching your explicit requirement for “the US market” and keeping the universe aligned with U.S. trading hours, regulations, and typical brokerage access.

6. Exchanges: XNYS (NYSE), XNAS (NASDAQ), XASE (AMEX)

   • Purpose: Limit to major U.S. exchanges, exclude OTC/pink sheets.
   • Rationale:
     • Trading on NYSE, NASDAQ, or AMEX usually implies better reporting standards, tighter spreads, and more reliable liquidity than many OTC penny stocks.
     • This fits the idea of a “good” penny stock to flip—seeking somewhat higher-quality, more tradable names rather than highly speculative, opaque issues.

7. One-week Rise Probability: ≥ 55%

   • Purpose: Tilt toward stocks with a model-estimated edge for next week.
   • Rationale:
     • This uses a predictive model that estimates the probability a stock’s price will be higher one week from now.
     • Setting ≥ 55% means we keep only stocks where the model thinks there’s at least a modest statistical edge above a 50/50 coin flip, which directly relates to your “this week” time horizon.

8. One-week Predicted Return: ≥ 0%

   • Purpose: Exclude names with a negative expected short-term return.
   • Rationale:
     • Ensures the model’s expected one-week return is at least non-negative.
     • Combining this with the rise-probability filter focuses on names where both the chance of going up and the expected magnitude are not skewed to the downside.

Why the Results Match Your Intent

• They are U.S.-listed penny stocks (price 0.20–5, U.S. region, NYSE/NASDAQ/AMEX) as requested.
• They are tradable for short-term flips, with decent liquidity (≥$1M monthly dollar volume) and elevated current volume (relative_vol ≥ 1.5).
• They have recent positive momentum (week_price_change between +5% and +40%), which aligns with short-term trading strategies.
• They are biased toward positive short-term outcomes, using a model-based one-week rise probability ≥ 55% and non-negative predicted return, which is as close as we can get to targeting candidates to “flip this week” without making unrealistic guarantees.