Penny stocks to buy now

Screening Filters

1. Market Cap: 150M – 1.5B USD

   • Purpose: Focus on smaller companies with growth potential, while avoiding the riskiest micro‑caps and large, mature firms.
   • Rationale:
     • Many “penny stocks” are tiny micro-cap names (tens of millions or less) that can be extremely illiquid, easily manipulated, or close to bankruptcy. Setting a minimum of 150M filters out the very weakest, most speculative names.
     • A maximum of 1.5B keeps us in the smaller-cap space, where you still get the “penny stock” growth and volatility profile, rather than stable mega‑caps that are usually not trading at low prices.

2. Price: 0.50 – 5 USD

   • Purpose: Match the common definition of U.S. penny stocks while avoiding ultra‑low “sub‑penny” risk.
   • Rationale:
     • In U.S. markets, stocks under $5 are widely classified as penny stocks, so a max price of $5 aligns directly with your request.
     • The minimum of $0.50 avoids names trading at just a few cents, which tend to have:
       • Extremely wide bid‑ask spreads
       • Very low liquidity
       • Higher odds of delisting or being shells / promotions
     • This gives you “true penny stocks” but with somewhat better trading quality.

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

   • Purpose: Restrict results to penny stocks listed on major U.S. exchanges.
   • Rationale:
     • Many penny stocks trade OTC or on Pink Sheets, where disclosure standards are weaker and risks (fraud, manipulation, poor reporting) are much higher.
     • Limiting to NYSE, NASDAQ, and AMEX means:
       • Higher listing and reporting standards
       • Better liquidity and institutional oversight
       • More reliable financial and trading data
     • This makes the “worth buying” universe more investable and less “wild west”.

4. one_month_rise_prob ≥ 70%

   • Purpose: Emphasize penny stocks with a statistically higher probability of rising over the next month.
   • Rationale:
     • This is a model‑based probability that the stock’s price will be higher one month from now.
     • A ≥70% threshold is relatively strict: it tries to select only those penny stocks where historical patterns, technicals, and/or other signals suggest a favorable short‑term bias, not just random volatility.
     • This directly targets the “值得购买” angle by favoring names where the odds (not guarantees) lean to the upside.

5. one_month_predict_return ≥ 15%

   • Purpose: Ensure not just a high probability of rising, but also a meaningful potential gain.
   • Rationale:
     • Penny stocks are high risk; to justify that risk, you typically want higher expected returns.
     • Setting a minimum predicted 1‑month return of 15% filters out stocks that might rise but only marginally, and keeps those where the model expects substantial upside in the near term.
     • Combined with the rise probability, this focuses on names that are both likely to go up and worth the risk from a return perspective.

Why Results Match Your Request

• You asked for U.S. penny stocks worth buying now.
• “Penny stock” is reflected by the price filter (≤ $5) and the small‑cap market cap range, keeping us in the speculative, high‑growth segment.
• “Worth buying” is approached by:
  • Requiring listing on major U.S. exchanges for better quality and transparency.
  • Using one_month_rise_prob ≥ 70% to focus on names with a model‑indicated higher chance of near‑term gains.
  • Adding one_month_predict_return ≥ 15% so the potential upside is significant enough to compensate for penny‑stock risk.
• Together, these filters create a more selective, higher‑quality subset of U.S. penny stocks that statistically have better near‑term upside potential, aligning with your goal of finding candidates that are relatively “值得购买” in this very risky category.