What's tomorrows best stock picks

Screening Filters

1. Relative Volume (relative_vol: min 2.0):

   • Purpose: To identify stocks that are experiencing significantly higher trading activity compared to their average volume.
   • Rationale: A relative volume of 2.0 or higher indicates that the stock is trading at least twice its normal volume, which often signals heightened investor interest or news-driven activity. This can help pinpoint stocks that are more likely to experience significant price movements in the short term, aligning with the user's interest in "tomorrow's best stock picks."

2. Weekly Price Change Percentage (week_price_change_pct: min 5):

   • Purpose: To focus on stocks that have already demonstrated strong upward momentum over the past week.
   • Rationale: A minimum weekly price change of 5% ensures that the screener captures stocks with recent bullish trends, which could indicate continued momentum into the next trading day. This filter helps narrow down the list to stocks that are already performing well and may continue to do so.

3. Earnings Date (earnings_date: from 2025-12-11 to 2025-12-18):

   • Purpose: To target stocks with upcoming earnings announcements within the specified date range.
   • Rationale: Earnings announcements often act as catalysts for significant price movements, as they provide new information about a company's financial performance. By focusing on stocks with earnings dates in the near future, the screener identifies candidates that could experience increased volatility and trading interest, which aligns with the user's request for potential short-term opportunities.

Why Results Match:

• The filters collectively aim to identify stocks with high trading activity, recent strong performance, and potential catalysts (earnings announcements) that could drive further price movements. These factors increase the likelihood of finding stocks that may perform well in the immediate future.
• While it is impossible to guarantee "tomorrow's best stock picks," the selected filters focus on stocks with characteristics that historically correlate with short-term opportunities, providing a higher probability of identifying strong candidates for the user's query.