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
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.
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.
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.
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.
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.
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.
This list is generated based on data from one or more third party data providers. It is provided for informational purposes only by Intellectia.AI, and is not investment advice or a recommendation. Intellectia does not make any warranty or guarantee relating to the accuracy, timeliness or completeness of any third-party information, and the provision of this information does not constitute a recommendation.