Screening Filters
Price (max: $15):
- Purpose: This filter ensures that only stocks trading at or below $15 per share are included in the results.
- Rationale: The user specifically requested stocks trading under $15, so this filter directly addresses that part of the query by excluding any stocks priced above $15.
Insider Transactions (Net Purchase):
- Purpose: This filter identifies stocks where there has been a net purchase of shares by insiders (e.g., company executives, directors, or other key stakeholders).
- Rationale: The user is looking for stocks with the "highest insider buy amount." While the screener may not rank stocks by the exact dollar amount of insider purchases, filtering for "Net Purchase" ensures that only stocks with positive insider buying activity are included. Insider buying is often interpreted as a sign of confidence in the company's future performance, which aligns with the user's interest.
Why Results Match:
- The price filter ensures that only stocks trading under $15 are considered, which directly matches the user's request for stocks below this price threshold.
- The insider transactions filter focuses on stocks with net insider buying activity, which is the closest available metric to identifying stocks with the "highest insider buy amount." While the screener may not rank by the exact dollar amount, this filter ensures that the results are relevant to the user's interest in insider buying trends.
Note: While the filters used are appropriate and address the user's query, the screener does not provide a direct ranking of stocks by the exact dollar amount of insider purchases. Instead, it identifies stocks with positive insider buying activity, which is a strong indicator of insider confidence.
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.