Note on “bullish tomorrow”
No screen can guarantee that a stock will be bullish on a specific day (like “tomorrow”). What these filters do is tilt the odds toward stocks that, based on liquidity, technicals, and predictive models, have a higher probability of rising in the next session.
Screening Filters
monthly_average_dollar_volume ≥ 1,000,000
- Purpose: Ensure the stocks are sufficiently liquid (actively traded).
- Rationale:
- High average dollar volume means it’s easier to enter and exit positions near the quoted price.
- It reduces the impact of random, low-volume spikes that can distort technical signals and model outputs.
- For a short‑term “tomorrow” view, liquidity is important so that any bullish move is tradable in practice.
moving_average_relationship: PriceCrossAboveMA5
- Purpose: Capture stocks showing very recent bullish technical momentum.
- Rationale:
- “Price crossing above the 5‑day moving average” is a classic short‑term bullish signal: it indicates price has shifted from below to above its recent average, often interpreted as the start of upward momentum.
- For a 1‑day bullish expectation, focusing on short‑term signals (like a 5‑day MA) is more relevant than long‑term trend indicators.
region: United States
- Purpose: Restrict results to U.S. stocks.
- Rationale:
- The user explicitly asked for “the US stock market,” so the screen excludes non‑U.S. listings.
- This keeps the results aligned with U.S. trading hours, regulations, and market dynamics.
list_exchange: XNYS, XNAS, XASE
- Purpose: Limit results to primary, major U.S. exchanges (NYSE, NASDAQ, NYSE American).
- Rationale:
- These exchanges list more established and better‑regulated companies, with stronger reporting standards and typically better liquidity.
- It avoids OTC or very illiquid names, making any “bullish tomorrow” signal more reliable and tradable.
one_day_rise_prob ≥ 60
- Purpose: Use a predictive model to filter for stocks with a relatively high estimated probability of rising the next day.
- Rationale:
- A minimum 60% probability threshold (vs. a 50/50 baseline) means we’re only including names where the model sees a material edge to the upside.
- This directly connects to “expected to be bullish tomorrow” by focusing on the direction (upward probability) rather than just historical patterns.
one_day_predict_return ≥ 1 (i.e., ≥ +1%)
- Purpose: Ensure that, in addition to a higher probability of rising, the size of the expected move is meaningful (at least +1% predicted return for the next day).
- Rationale:
- A stock could have a slightly higher chance of going up but only by a negligible amount; this filter requires the model to forecast a non‑trivial upside.
- This aligns “bullish” not just with direction (up) but also with a minimum magnitude of expected gain.
Why the Results Match Your Request
- The U.S. region and major exchange filters ensure you only see stocks from the US stock market, as requested.
- The liquidity filter (
monthly_average_dollar_volume) makes sure the candidates are realistically tradable if they do move bullishly tomorrow.
- The technical filter (
PriceCrossAboveMA5) focuses on stocks that have just triggered a short‑term bullish signal, matching your near‑term (tomorrow) focus.
- The predictive filters (
one_day_rise_prob ≥ 60 and one_day_predict_return ≥ 1) aim to surface stocks that a model expects to have both:
- a higher-than-random chance of rising tomorrow, and
- a meaningful expected upside for that 1‑day horizon.
Together, these filters don’t promise that any specific stock will be bullish tomorrow, but they systematically narrow the universe to liquid U.S. names where both technicals and predictive models lean toward a bullish one‑day outlook.
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.