What stocks are due to increase 5% tomorrow

Important Note on Predictions

No screener (or analyst) can guarantee which stocks will rise 5% tomorrow. What we can do is use quantitative models to estimate which stocks have a higher probability of such a move. The filters below are designed to narrow the universe to U.S. stocks that model-based signals suggest are more likely to rise at least 5% in the next trading day, while also ensuring liquidity and quality of listings.

Screening Filters

1. region: ['US']

   • Purpose: Restrict results to companies listed in the United States.
   • Rationale:
     • You asked specifically about the US market, so we limit the region to U.S. securities.
     • This ensures the output aligns with your geographical focus and keeps results comparable in terms of regulations, trading hours, and market structure.

2. list_exchange: ['XNYS', 'XNAS', 'XASE']

   • Purpose: Include only stocks listed on the major U.S. exchanges:
     • XNYS = NYSE
     • XNAS = NASDAQ
     • XASE = NYSE American (formerly AMEX)
   • Rationale:
     • These exchanges host the most established and actively traded U.S. companies.
     • Focusing on primary, reputable exchanges helps avoid very illiquid OTC or pink-sheet names that might show extreme (but unreliable) model predictions and be harder/costlier to trade.

3. market_cap: {'min': '500000000'} (≥ $500M)

   • Purpose: Filter out very small micro-cap and nano-cap stocks.
   • Rationale:
     • A minimum market cap of $500 million keeps the focus on more established companies, which tend to have:
       • Better disclosure and financial reporting
       • Lower manipulation risk
       • More stable trading behavior
     • Ultra-small caps can move 5%+ on tiny volumes or random news; this is often noise rather than a signal-driven expectation. Using this filter aligns with the idea of “expected” moves based on more robust data.

4. monthly_average_dollar_volume: {'min': '1000000'} (≥ $1M/day)

   • Purpose: Ensure the stock is reasonably liquid by requiring at least ~$1M in average daily traded value over the past month.
   • Rationale:
     • Higher dollar volume generally means:
       • Tighter bid–ask spreads
       • Easier entry/exit without moving the price too much
       • Trading that reflects genuine investor activity, not just a few small orders
     • Since you care about a short-term (one-day) move, liquidity is especially important—otherwise, a 5% move might be an artifact of low trading activity rather than a meaningful opportunity.

5. one_day_rise_prob: {'min': '60'} (≥ 60% probability of rising)

   • Purpose: Select stocks where the predictive model estimates at least a 60% chance that tomorrow’s price will be up (vs. down).
   • Rationale:
     • Your question is about stocks “expected to increase.” This filter directly targets that by requiring a statistical edge (probability > 50%) for a positive move.
     • A 60% threshold is relatively strict—it excludes names where the prediction is too close to a coin flip.
     • This doesn’t guarantee a gain, but it aligns the list with stocks the model sees as having a better-than-average chance to rise.

6. one_day_predict_return: {'min': '5'} (≥ +5% expected return for tomorrow)

   • Purpose: Target stocks where the model’s expected one-day price change is at least +5%.
   • Rationale:
     • This is the core translation of your request: “expected to increase by 5% tomorrow.”
     • While one_day_rise_prob captures the likelihood of going up, one_day_predict_return captures the size of the expected move.
     • Together, they ensure we are not only looking for stocks that are likely to rise, but also to rise by roughly the magnitude you specified.

Why These Results Match Your Request

• Direct mapping to your target move:

  • one_day_predict_return ≥ 5 directly encodes your requirement of “expected to increase by 5% tomorrow.”

• Focus on higher-probability setups rather than coin flips:

  • one_day_rise_prob ≥ 60 ensures we’re looking at names where the model suggests a meaningful probability advantage for an upside move.

• US-only and major exchanges:

  • region = US and list_exchange = [XNYS, XNAS, XASE] ensure you get U.S.-listed stocks on primary, liquid markets, exactly matching “US market” in your question.

• Liquidity and quality control:

  • market_cap ≥ $500M and monthly_average_dollar_volume ≥ $1M filter out illiquid micro-caps and obscure names, making the results more investable and more likely to reflect genuine, model-driven expectations rather than random price spikes.

Overall, these filters translate your request into quantitative criteria that narrow the universe to U.S. stocks where models expect at least a 5% gain tomorrow with an above-average probability, while emphasizing liquidity and listing quality.