Important Note on the Request
It isn’t possible to guarantee that any stock will gain an additional 5% in a single day. What we can do is use historical patterns and probabilistic models to tilt the odds toward stocks that statistically have a higher chance of rising and whose expected one‑day return is in the desired range. The filters below are designed exactly for that.
Screening Filters
price: {'min': '3', 'max': '200'}`
- Purpose: Focus on reasonably priced, liquid stocks and avoid ultra‑low‑priced penny stocks or very high‑priced outliers.
- Rationale:
- Stocks under $3 are often illiquid, highly speculative, and prone to extreme, random moves that can distort any short‑term prediction model.
- Very high‑priced stocks (above $200) often move in dollar terms more than in percentage terms; a 5% intraday move on a $500 stock is large and rarer.
- Keeping the range between $3 and $200 helps target stocks where a 4–5% intraday move is more common and where prediction models tend to be more stable.
price_change_pct: {'min': '-1', 'max': '6'}`
- Purpose: Select stocks that have moved modestly today, but haven’t already “spent” most of their potential upside.
- Rationale:
- Lower bound -1%: Excludes stocks that are plunging hard; a deep intraday loss can signal bad news or abnormal risk, lowering the practical odds of a clean 5% upside from here.
- Upper bound 6%: Excludes stocks that are already up sharply. If a stock is already up, say, 10% today, the probability of gaining an additional 5% is typically lower because some of the move may have already occurred.
- Keeping moves between -1% and +6% balances: the stock is active, but not exhausted.
region: ['United States']
- Purpose: Limit the universe to U.S.-listed companies.
- Rationale:
- U.S. markets (NYSE, NASDAQ, AMEX) are highly liquid and well‑covered, which improves data quality and model reliability for short‑term probability and return estimates.
- It also aligns with many users’ preference for regulatory transparency and trading convenience.
list_exchange: ['XNYS', 'XNAS', 'XASE']
- Purpose: Restrict results to major U.S. exchanges: NYSE, NASDAQ, and NYSE American.
- Rationale:
- These exchanges enforce listing standards (financial, reporting, liquidity) that help filter out the riskiest and least transparent names.
- Short‑term prediction models usually perform better on actively traded, well‑listed stocks rather than on obscure OTC or pink‑sheet securities.
one_day_rise_prob: {'min': '55'}`
- Purpose: Require a probability > 55% that the stock closes higher than its current price today, based on a quantitative model.
- Rationale:
- A 50% rise probability is essentially a coin flip. Setting the bar at 55% means we only keep stocks where the model sees a meaningfully above‑average chance of going up today.
- This directly reflects your request for “potential of gaining” today, by focusing on names where the short‑term odds are tilted towards a positive move.
one_day_predict_return: {'min': '4', 'max': '20'}`
- Purpose: Target stocks whose expected one‑day return is between +4% and +20%.
- Rationale:
- Lower bound 4%: Aligns with your “additional 5%” goal by ensuring we are looking at stocks where the model expects a sizable positive move close to that range (4–5%+).
- Upper bound 20%: Avoids extreme outliers where the model predicts very large returns that often come with extreme risk or low reliability.
- This range focuses on stocks whose forecasted move is substantial enough to matter, but not so extreme as to be purely speculative.
Why Results Match Your Intent
- The rise probability filter (≥55%) ensures we’re not just picking random volatile stocks, but ones with a statistically higher chance of going up today.
- The predicted return filter (4–20%) is directly tied to your “additional 5 percent” objective, ensuring the expected move is in that neighborhood or higher.
- The price and price_change_pct filters help avoid both penny‑stock noise and already‑overextended names, improving the realism of a further 4–5% intraday gain.
- Limiting to major U.S. exchanges enhances liquidity, data quality, and the reliability of the short‑term models used to estimate these probabilities and returns.
Taken together, these filters don’t guarantee a 5% gain, but they systematically select stocks where a meaningful positive move today is statistically more plausible, from a more stable and liquid subset of the market.
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.