First, a quick clarification
No screener or model can guarantee which stocks will be the “top gainers” tomorrow. What we can do is tilt the odds by focusing on stocks that, based on historical patterns and predictive models, have a higher probability of rising and meaningful upside potential. The filters below are designed precisely for that.
Screening Filters
price ≥ $5
- Purpose: Exclude very low-priced and penny stocks.
- Rationale:
- Penny stocks can have wild percentage moves, but they’re often illiquid, easily manipulated, and very risky.
- Setting a minimum price of $5 helps focus on more established, tradable names that institutions and most active traders actually participate in.
- For “top gainers” that are still investable and not purely speculative microcaps, this floor is appropriate.
list_exchange ∈ {XNYS, XNAS, XASE} (NYSE, NASDAQ, AMEX)
- Purpose: Limit results to major U.S. exchanges.
- Rationale:
- The user asked about the “US stock market,” which normally means primary U.S. exchanges (NYSE, NASDAQ, and AMEX).
- These exchanges have stricter listing standards, better liquidity, and more reliable data than OTC or pink-sheet markets.
- This ensures the candidates are mainstream U.S. stocks where big “top gainer” moves are still plausible but within a regulated environment.
volume > monthly_average_dollar_volume
- Purpose: Focus on stocks currently trading with unusually high activity compared with their recent norm.
- Rationale:
- Big moves are often preceded or accompanied by a spike in trading activity (e.g., news, earnings, upgrades, sector momentum).
- Comparing current volume (or current dollar volume) to monthly average dollar volume identifies stocks where interest and liquidity are elevated right now.
- This makes it more plausible that these stocks could experience strong short-term price action, and you can more easily get in and out without huge slippage.
one_day_rise_prob ≥ 70
- Purpose: Select stocks where a predictive model estimates at least a 70% probability of rising tomorrow.
- Rationale:
- This is a probability-based filter: it uses historical behavior, technical/quantitative signals, and/or other features to estimate the chance of a positive return in the next trading day.
- A 70%+ threshold is quite strict; it narrows the universe to names that the model considers to have meaningfully favorable odds for an up day.
- While it cannot promise they will be top gainers, it specifically aligns with your goal of finding likely short-term winners (rather than just random names).
one_day_predict_return ≥ 4%
- Purpose: Require not only a high probability of going up, but also a significant expected size of the move (≥ 4%).
- Rationale:
- A stock that has a high chance of rising but only by 0.5–1% is unlikely to be a “top gainer.”
- By imposing a minimum predicted one-day return of 4%, the screener looks for candidates that are both likely to go up and expected to move by a meaningful magnitude.
- This filter specifically targets stocks with the potential to be among the bigger percentage movers on the day.
Why the Results Match Your Intent
- You asked for stocks that could be top gainers in the US market tomorrow. The filters:
- Restrict to major U.S. exchanges and non-penny names (relevant, tradable universe).
- Emphasize unusual trading activity, which often accompanies big price swings.
- Apply a high predicted probability of an up day (≥ 70%), aligning with your desire for likely winners.
- Demand a strong predicted upside (≥ 4%), gravitating toward stocks that could realistically be among the day’s stronger gainers.
Together, these filters don’t guarantee tomorrow’s top gainers, but they systematically focus on liquid U.S. stocks that models suggest have both a high chance of rising and a sizable expected one-day move—i.e., the most relevant set of candidates for your goal.
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.