Screening Filters
is_index_component: ['GSPC', 'DJI', 'NDX']
- Purpose: Limit results to large, well‑followed U.S. stocks in the S&P 500, Dow Jones Industrial Average, and Nasdaq 100.
- Rationale:
- Your question is about “best buy” ideas based on today’s news. Macro events like the Fed press conference and labor data primarily move large index constituents, which are heavily covered in media and by analysts.
- Focusing on these indices increases the chance that:
- The stocks are directly impacted by today’s macro news.
- The news and forecasts around them are timely and reliable.
- There is enough liquidity to realistically act on.
list_exchange: ['XNYS', 'XNAS', 'XASE']
- Purpose: Restrict to U.S.-listed stocks on NYSE, NASDAQ, and NYSE American.
- Rationale:
- You asked specifically about U.S. stocks, so we filter to the main U.S. exchanges.
- This excludes OTC and foreign listings, which may react differently or have less transparent news flow.
news_driver: ['Positive']
- Purpose: Include only stocks currently associated with positive news catalysts.
- Rationale:
- You want stocks that are a “best buy based on today’s news.”
- This filter looks for names where recent news flow (earnings beats, favorable guidance, analyst upgrades, macro tailwinds, etc.) is classified as positive.
- It ties the results directly to the current news environment, not just long-term fundamentals.
pe_ttm: {'min': '5', 'max': '40'}
- Purpose: Ensure valuations are within a reasonable price‑to‑earnings range.
- Rationale:
- A P/E below ~5 can indicate distressed or structurally challenged companies; above ~40 may point to extremely high expectations or speculative pricing.
- Since you’re asking for “best buy,” this range tries to balance:
- Avoiding ultra-speculative names trading at excessive multiples.
- Avoiding potentially problematic names with extremely low P/Es.
one_week_predict_return: {'min': '0', 'max': '100'}
- Purpose: Focus on stocks with a non‑negative model‑predicted return over the next week.
- Rationale:
- “Based on today’s news” implies a near-term reaction window.
- This filter keeps only those names where a quantitative model, incorporating recent data and news, expects at least no loss (≥0%) over the next week, with upside potential.
- It connects your request to short-term opportunity derived from fresh information.
analyst_consensus: ['Strong Buy', 'Moderate Buy']
- Purpose: Require that Wall Street analysts are bullish on the stock.
- Rationale:
- “Best buy” suggests not just a news pop, but also broader professional support.
- Limiting to Strong/Moderate Buy means:
- Multiple analysts see upside from current levels.
- The stock isn’t widely rated as Hold or Sell, which would contradict the “best buy” idea.
- This helps filter out names with positive short‑term news but weak long‑term outlooks.
Why Results Match Your Request
- The screen restricts to U.S. blue‑chip and large growth stocks (major indices, major exchanges) that are most sensitive to today’s macro news and highly covered.
- It emphasizes current positive news catalysts (
news_driver: Positive) that could make them attractive today.
- It adds valuation discipline (
pe_ttm range) so “best buy” doesn’t mean overpaying for hype.
- It incorporates short‑term return expectations (
one_week_predict_return ≥ 0) aligned with trading around current news.
- It requires a bullish analyst consensus, adding an extra quality check that professionals also view these stocks as buys.
Together, these filters aim to surface U.S. stocks that are:
(1) materially affected by today’s news,
(2) positively positioned in the short term, and
(3) supported by reasonable fundamentals and analyst views—making them stronger “best buy” candidates in the current news context.
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.