Screening Filters
Market Cap ≥ $5,000,000,000
- Purpose: Focus on larger, more established U.S. companies.
- Rationale: When someone asks “Which stocks are recommended to buy today?”, they are usually looking for relatively solid, well-known names rather than thinly traded microcaps. A minimum $5B market cap targets mid- to large-cap companies that tend to have:
- More stable business models
- Better analyst coverage
- Lower risk of extreme manipulation or sudden illiquidity
Monthly Average Dollar Volume ≥ $1,000,000
- Purpose: Ensure the stocks are reasonably liquid and easy to trade.
- Rationale: A minimum of $1M traded per month (in dollar terms) helps:
- Reduce bid–ask spreads (you don’t overpay when buying or lose too much when selling)
- Make it easier to enter and exit positions without moving the price much
- Avoid obscure, illiquid names that may be hard to actually buy “today” in size
PriceAboveMA20 (Price above 20-day moving average)
- Purpose: Capture stocks with short-term positive momentum.
- Rationale: A price above the 20-day moving average suggests:
- Recent price strength in the past month
- Market participants are currently favoring the stock
- It’s not in an immediate short-term downtrend, which aligns with a “buy today” mindset
PriceAboveMA200 (Price above 200-day moving average)
- Purpose: Focus on stocks in a longer-term uptrend.
- Rationale: The 200-day moving average is a classic long-term trend indicator. Filtering for price above this level:
- Avoids stocks in prolonged downtrends
- Targets companies showing sustained strength over many months
- Aligns with the idea of “recommended to buy” rather than “trying to catch a falling knife”
List Exchange in ['XNYS', 'XNAS', 'XASE']
- Purpose: Restrict results to major U.S. exchanges (NYSE, NASDAQ, NYSE American).
- Rationale: Your question is about the U.S. stock market. These exchanges:
- Contain the bulk of widely followed U.S. companies
- Have stricter listing standards and better transparency
- Match the typical investor’s universe when asking for U.S. “buy” ideas
One-week predicted return ≥ 4%
- Purpose: Emphasize stocks where a model (or quantitative signal) expects near-term upside.
- Rationale: Since you asked what is recommended “today,” this filter:
- Looks for candidates with a forecasted positive move in the very near term
- Prioritizes names where recent data/signals suggest short-term outperformance potential
- Helps narrow the list to opportunities that are not just solid, but also timely
Analyst Consensus in ['Strong Buy', 'Moderate Buy']
- Purpose: Align picks with professional analyst opinion.
- Rationale: “Recommended to buy” naturally ties into Wall Street ratings. Filtering by Strong Buy or Moderate Buy:
- Includes only stocks where the average analyst stance is clearly positive
- Combines fundamental research views (earnings, valuation, outlook) with the other quantitative filters
- Reduces the chance of including stocks broadly viewed as overvalued or at risk
Why Results Match Your Request
- The universe is U.S.-only (NYSE, NASDAQ, NYSE American), directly matching “US stock market.”
- Quality and stability are addressed by the market cap and liquidity filters, steering you toward established, tradable companies that an investor could realistically buy today.
- Trend and timing are handled by the moving-average and short-term return filters, focusing on stocks in both short- and long-term uptrends with a positive near-term outlook.
- “Recommended to buy” sentiment is captured through the Strong Buy / Moderate Buy analyst consensus, so you’re seeing names professionals currently favor.
Together, these filters are designed to surface U.S. stocks that are liquid, established, in uptrends, and positively rated—making them reasonable candidates for a “buy today” list, subject to your own risk tolerance and due diligence.
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.