Screening Filters
week_price_change_pct: { min: 500 }
week_price_change_pct directly measures the percentage change in price over the past week. min: 500 ensures we only include stocks that are up at least +500% (i.e., their price is at least 6x what it was a week ago).list_exchange: ['XNYS', 'XNAS', 'XASE']
XNYS = NYSE, XNAS = NASDAQ, XASE = AMEX. Yes, they match very closely:
week_price_change_pct with min: 500. list_exchange: ['XNYS', 'XNAS', 'XASE'].No additional indicators were requested (such as market cap, sector, or volume), so none were added.
No stocks met the combined conditions of:
This can happen because:
So the screener is behaving as expected: the criteria are so extreme that there simply were no qualifying stocks for the most recent week.
Would you be willing to relax or modify the filters so we can find some actionable names? For example, we could:
week_price_change_pct ≥ 100% (doubled in a week), or week_price_change_pct ≥ 50% (up at least 1.5x in a week),Tell me which adjustment you prefer (e.g., “show me NYSE/NASDAQ/AMEX stocks up at least 100% last week”), and I’ll explain the new filters and what they’ll capture.
This is a natural language screener issue. Our AI identifies and quantifies criteria, auto-filters ranges to match intent, and displays conditions, parameters, and results below, with 0 candidates fitting the screener.
The list includes top performers like , among others. These stocks are representative examples from the screener results.