What’s the best to buy to get fast money

Important Note Up Front

No screen can reliably identify “the best stock for quick profits” or guarantee fast gains. What we can do is tilt the search toward U.S. stocks that are:

• Liquid (easy to get in and out)
• More volatile (larger short-term moves)
• Showing recent positive momentum
• Flagged by a model as having a non‑negative expected short‑term return

The filters below are designed with that goal.

Screening Filters

1. market_cap ≥ 2,000,000,000 (≥ $2B)

   • Purpose: Focus on established mid/large-cap companies.
   • Rationale:
     • Very small caps can move a lot, but often have poor liquidity and higher manipulation risk.
     • A $2B+ threshold aims for companies big enough to have decent institutional coverage and more reliable data, while still volatile enough (when combined with other filters) to offer “quick profit” potential.

2. beta: HighRisk (high beta stocks)

   • Purpose: Target stocks that move more than the overall market.
   • Rationale:
     • High beta means the stock tends to be more volatile than the market index.
     • For quick profits, you generally need volatility—prices that don’t move much won’t generate big short-term returns.
     • The trade-off is higher downside risk, which matches your “quick profits” intent but increases the chance of quick losses as well.

3. monthly_average_dollar_volume ≥ 1,000,000 (≥ $1M/day)

   • Purpose: Ensure sufficient liquidity.
   • Rationale:
     • Dollar volume filters (price × shares traded) help find stocks where you can enter and exit positions without huge slippage.
     • A $1M+ threshold aims to avoid thinly traded names where quick-profit strategies are hard to execute in practice.

4. month_price_change_pct between 5% and 50% (past month)

   • Purpose: Capture stocks with recent positive momentum, but avoid extremes.
   • Rationale:
     • A minimum of +5% over the last month looks for stocks that are already moving up—short-term traders often ride existing momentum.
     • Capping at +50% avoids names that may have already “spiked” excessively, where the risk of a sharp pullback is very high.

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

   • Purpose: Limit to major U.S. exchanges.
   • Rationale:
     • NYSE and NASDAQ listings generally meet higher reporting, governance, and liquidity standards.
     • This aligns with your “US stock” requirement while filtering out OTC/pink-sheet names that can be highly illiquid and speculative.

6. region: United States

   • Purpose: Restrict to U.S.-based stocks.
   • Rationale:
     • Directly matches your request for US stocks.
     • Ensures consistency in accounting standards, regulatory environment, and trading hours.

7. one_week_predict_return ≥ 0

   • Purpose: Include only stocks with a non‑negative model-based expected 1‑week return.
   • Rationale:
     • If there is a predictive model behind this field, “≥ 0” filters out names where the model expects negative returns.
     • For a “quick profit” focus, you don’t want candidates that are statistically tilted to the downside, even if just slightly.

8. one_week_rise_prob ≥ 0

   • Purpose: Keep all stocks with a defined probability of rising; likely a sanity check.
   • Rationale:
     • A minimum of 0 is non-restrictive but ensures the field is valid.
     • In practice, this likely ensures you’re only looking at stocks where the predictive system has generated a usable probability estimate.

Why Results Match Your Intent

• The U.S. region + NYSE/NASDAQ filters match your geographic and quality preference: “US stock.”
• The high beta and recent positive price change focus on stocks that are volatile and already moving up—conditions often sought for short-term trading and quick-profit attempts.
• The liquidity (dollar volume) and market cap thresholds aim to keep you in reasonably tradable, established names where you can realistically execute trades.
• The model-based short-term return filters nudge the list toward stocks that, based on historical/predictive data, are not expected to decline over the next week.

Together, these filters don’t guarantee quick profits but systematically narrow the universe to U.S. stocks that are liquid, volatile, in an uptrend, and not flagged as having negative short-term prospects—fitting the spirit of your request as closely as is realistically possible.