Screening Filters
sector: Healthcare; Pharmaceuticals & Medical Research; Software & IT Services; Technology; Technology Equipment
- Purpose: Limit results to stocks in the “technology” and “medical” spaces you asked about.
- Rationale:
- Technology: “Software & IT Services,” “Technology,” and “Technology Equipment” all capture different slices of tech (software, platforms, hardware, semiconductors, IT services, etc.).
- Medical: “Healthcare” plus “Pharmaceuticals & Medical Research” capture drug makers, biotech, medical devices, hospitals, and related services.
- This ensures we’re not pulling in unrelated sectors (e.g., banks, energy) that wouldn’t match your interest.
price_change_pct: min 3, max 100
- Purpose: Focus on stocks making meaningful price moves on the day (or specified period), excluding flat or barely moving names.
- Rationale:
- A minimum of +3% price change flags stocks with a notable intraday or recent move—these are often the ones drawing attention and “chatter.”
- The upper bound of 100% is a safety cap to exclude bad data or extreme outliers while still allowing very strong movers.
- This directly targets your interest in “big moves” rather than quiet, range‑bound stocks.
relative_vol: min 1.2
- Purpose: Capture stocks trading with higher-than-normal volume, a common proxy for “chatter” and unusual activity.
- Rationale:
- Relative volume compares today’s trading volume to the stock’s typical volume.
- A threshold of 1.2 means the stock is trading at least 20% more volume than usual.
- Elevated volume often reflects increased investor attention, news, or speculation—exactly the kind of “chatter” you’re asking about.
news_driver: Positive or Negative
- Purpose: Filter to stocks that have news catalysts, whether good or bad, driving the move.
- Rationale:
- Big moves with no news are less likely to have broad “chatter” than moves linked to clear events (earnings, FDA approvals, product launches, guidance changes, lawsuits, etc.).
- Including both Positive and Negative ensures we catch:
- Positive spikes (e.g., strong earnings, drug approval, big contract win).
- Negative crashes (e.g., failed trial, regulatory issue, weak results).
- Either way, news-driven moves tend to be the ones people are talking about.
Why Results Match Your Question
- You asked about “big moves” → addressed by
price_change_pct ≥ 3% and relative_vol ≥ 1.2, which together highlight stocks with both strong price action and unusually high trading activity.
- You asked about “chatter” → addressed by
relative_vol and news_driver, focusing on high-volume, news-driven names which are most likely the subject of active discussion.
- You specified technology or medical sector shares → addressed by the
sector filter, restricting the universe strictly to tech- and healthcare-related industries.
Overall, these filters are designed to surface technology and medical stocks that are moving sharply, trading heavily, and driven by notable news—exactly the situations where “big moves or chatter” are most likely.
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.