Stocks under 1 dollar that will explode

Screening Filters

1. Price: 0.05 – 1

   • Purpose: Focus on true “sub‑$1” stocks while excluding the most illiquid penny fragments.
   • Rationale:
     • Upper bound at $1 directly matches your request for “stocks under 1 dollar.”
     • Lower bound at $0.05 filters out ultra‑tiny quotes (e.g., $0.0001) that are often extremely illiquid, easily manipulated, and less investable for most traders. This keeps the list more practical while still in the penny range.

2. Market cap: $30M – $2B

   • Purpose: Target smaller companies where big percentage moves are more plausible, while avoiding the most speculative micro‑caps and huge blue chips.
   • Rationale:
     • Minimum $30M: Avoids the absolute smallest companies, which often have severe liquidity, reporting, and governance issues.
     • Maximum $2B: Keeps you in small‑cap territory where growth surprises or sentiment shifts can still translate into significant price increases. Mega‑caps rarely move 50–100% in short periods.

3. Moving average relationship: PriceAboveMA20

   • Purpose: Require that price be in a short‑term uptrend or at least above recent average levels.
   • Rationale:
     • Price trading above its 20‑day moving average is a simple technical sign of positive short‑term momentum.
     • Stocks with some existing upward bias or recovery often have a higher probability of continuing to rise versus those making fresh lows.

4. 1‑month price change: -20% to +150%

   • Purpose: Ensure the stock has seen meaningful recent activity, but not an unsustainably extreme spike.
   • Rationale:
     • Lower bound -20%: Excludes total collapse cases (e.g., -80%) that may be under severe fundamental stress, yet keeps in stocks that have pulled back modestly and could rebound.
     • Upper bound +150%: Captures names that have shown strong upside action, but avoids the most parabolic, blow‑off moves where the risk of a sharp reversal is highest.
     • Overall, this focuses on stocks that are “alive” in terms of price movement—essential when you’re looking for potential for big moves.

5. Predicted 1‑month return: ≥ 10%

   • Purpose: Use a model‑based estimate to focus on names that are statistically expected to have higher upside over the next month.
   • Rationale:
     • A minimum predicted return of 10% filters for stocks where the model (based on historical patterns and factors like momentum, valuation, etc.) suggests elevated upside potential in the near term.
     • This directly aligns with your request for stocks that have high potential for significant price increases, while still being probabilistic rather than guaranteed.

6. Exchange listing: XNYS, XNAS, XASE (NYSE, NASDAQ, NYSE American)

   • Purpose: Stay on major US exchanges for better transparency and tradability.
   • Rationale:
     • Major exchanges have stricter listing standards, reporting requirements, and generally better liquidity than OTC markets.
     • This improves execution quality and reduces some of the extreme risks associated with obscure penny stocks.

7. Region: US

   • Purpose: Limit the universe to US‑listed companies for consistent regulation, reporting, and data coverage.
   • Rationale:
     • US markets tend to have robust disclosure and liquidity, making analysis and trading more practical.
     • It also avoids mixing in foreign micro‑caps where information and trading can be much more constrained.

Why These Results Match Your Request

• The price filter (< $1) squarely hits your requirement for sub‑dollar stocks.
• Market cap, PriceAboveMA20, and 1‑month price change collectively target smaller, active names with positive or recovering momentum—conditions historically associated with larger percentage moves.
• The predicted 1‑month return ≥ 10% explicitly screens for names where quantitative signals suggest elevated upside potential, which addresses your “high potential for significant price increases” goal.
• Limiting to US major exchanges balances opportunity with practicality and risk management, avoiding the lowest‑quality corners of the penny stock universe.