Us stocks to up by 10% in February

Important Note on the Request

It’s not possible to guarantee that specific stocks will increase by 10% in February. What we can reasonably do is screen for U.S. stocks that, based on historical behavior and models, have a higher probability of rising and an expected return above your target. The filters below are chosen to reflect that.

Screening Filters

1. region: ['United States']

   • Purpose: Limit results to U.S.-based stocks.
   • Rationale: You explicitly asked for US stocks, so this ensures we only consider companies listed in the U.S. market and subject to U.S. regulation, reporting standards, and trading hours.

2. list_exchange: ['XNYS', 'XNAS', 'XASE'] (NYSE, NASDAQ, AMEX)

   • Purpose: Restrict the universe to major U.S. exchanges.
   • Rationale: These are the primary, most liquid U.S. stock exchanges. Focusing on NYSE, NASDAQ, and AMEX:
     • Improves liquidity (easier to enter/exit positions).
     • Avoids many extremely illiquid OTC or pink-sheet stocks that can be very risky or easily manipulated.
     • Keeps the search aligned with what most investors think of as “US stocks.”

3. moving_average_relationship: ['PriceAboveMA20', 'PriceAboveMA200']

   • Purpose: Find stocks in established uptrends both short-term and long-term.
   • Rationale:
     • PriceAboveMA20: The current price is above its 20-day moving average, a common indicator of short-term momentum and positive recent price action.
     • PriceAboveMA200: The current price is above its 200-day moving average, a classic signal of a long-term uptrend.
   • Together, these filters look for stocks that are:
     • Not only moving up recently, but
     • Also in a broader, sustained uptrend.
       This supports the idea that they may continue to perform well into February, aligning with your goal of finding stocks likely to rise.

4. one_month_rise_prob: {'min': '65'}

   • Purpose: Require a statistically modeled probability of price increase over one month of at least 65%.
   • Rationale:
     • This filter uses a predictive model (based on past patterns, volatility, momentum, etc.) estimating the chance the stock will be higher in one month than today.
     • Setting a minimum of 65% means we only include stocks where the model suggests better-than-coin-flip odds of going up in the next month.
   • This directly addresses your request for stocks “expected to increase” by focusing on probability of a positive move.

5. one_month_predict_return: {'min': '15'}

   • Purpose: Target stocks with a model-predicted one-month return of at least 15%.
   • Rationale:
     • You asked for stocks expected to increase by 10% in February.
     • Setting the floor at 15% expected return is intentionally stricter than your 10% target to:
       • Build in a margin of safety, since predictive models aren’t perfect.
       • Focus on names where the expected upside is meaningfully above your goal.
   • While this is not a guarantee of +10% performance, it narrows the universe to those with a high modeled upside in the next month.

Why the Results Match Your Intent

• You wanted U.S. stocks → Filters for region: United States and XNYS/XNAS/XASE ensure only mainstream U.S.-listed names.
• You wanted stocks expected to rise ~10% in February →
  • one_month_rise_prob ≥ 65% targets stocks with a higher probability of going up over roughly the next month.
  • one_month_predict_return ≥ 15% focuses on those with model-expected returns above your 10% threshold, giving some cushion.
• To avoid names that are technically weak, the PriceAboveMA20 & PriceAboveMA200 filters ensure:
  • The trend is positive in both the short and long term, which historically supports higher odds of further gains.

In combination, these filters do not promise a 10% gain, but they systematically tilt the list toward U.S. stocks in uptrends, with higher modeled odds and higher expected one-month returns, which is the most realistic way to approach your request.