Find me 10$ trades with high returns

Screening Filters

1. price: min = 5, max = 300

   • Purpose: Focus on reasonably priced, tradable stocks and avoid extreme outliers.
   • Rationale:
     • Stocks under $5 are often very speculative, illiquid, and prone to manipulation, which makes them poor candidates for reliable “high-return” trades.
     • A cap at $300 helps keep results in a range where a typical retail account can buy multiple shares per position and manage risk more flexibly, which is practical when you’re looking for 10 separate trades.

2. monthly_average_dollar_volume: min = 500,000

   • Purpose: Ensure sufficient liquidity so trades can be entered and exited without large slippage.
   • Rationale:
     • A minimum of $500K traded per month (in dollar terms) filters out thinly traded names.
     • For “trades” (as opposed to long-term investments), you need enough activity that your orders don’t move the market or get stuck.

3. region: United States

   • Purpose: Restrict the universe to U.S.-listed companies.
   • Rationale:
     • The user explicitly asked for trades “in the US stock market,” so this ensures the companies are U.S.-based or at least U.S.-listed and subject to U.S. market hours, regulation, and data coverage.

4. list_exchange: XNYS, XNAS (NYSE and NASDAQ)

   • Purpose: Focus on the main U.S. stock exchanges.
   • Rationale:
     • NYSE and NASDAQ are the primary, most liquid U.S. exchanges.
     • This excludes OTC and other venues that often have poorer liquidity, lower reporting standards, and more speculative names—again aligning with the idea of actionable “trades” rather than lottery tickets.

5. one_month_rise_prob: min = 60

   • Purpose: Prioritize stocks with a statistically higher chance of rising over the next month.
   • Rationale:
     • This uses a predictive model to require at least a 60% estimated probability that the stock will be higher in one month.
     • Since the user wants “trades,” this focuses on near-term directional opportunities rather than just fundamentally strong companies.

6. one_month_predict_return: min = 20

   • Purpose: Target trades with potentially high upside over the next month.
   • Rationale:
     • A minimum predicted 20% one‑month return is an aggressive filter designed to surface only the strongest upside candidates.
     • This ties directly to the user’s request for “high returns,” not just marginal outperformance.

Why Results Match:

• The US region and NYSE/NASDAQ exchange filters ensure that all candidates are genuinely part of the U.S. stock market as requested.
• The price and liquidity (dollar volume) filters make sure the returned stocks are realistically tradable for a retail investor and not obscure, illiquid names.
• The one_month_rise_prob ≥ 60% filter aligns with finding trades that have a statistically favorable setup in the near term.
• The one_month_predict_return ≥ 20% filter explicitly targets opportunities with high expected returns over the next month, matching the user’s desire for “high-return” trades rather than modest moves.