What are best stocks tobuy

Screening Filters

1. market_cap >= $2B:

   • Purpose: Focus on established, investable companies.
   • Rationale: When asking for the “best US stocks to buy,” most investors are better served by stocks with a meaningful operating scale and lower business-risk than tiny speculative names. A $2B minimum removes many micro-cap stocks that can be highly volatile, illiquid, and more prone to execution risk.

2. monthly_average_dollar_volume >= $500K:

   • Purpose: Ensure liquidity and tradability.
   • Rationale: This filter helps find stocks that can generally be bought and sold without excessive spread or slippage. For a broad “best stocks to buy” request, liquidity matters because it improves the practicality of entering and exiting positions.

3. market_cap_category in [mid, large]:

   • Purpose: Prioritize companies with stronger market presence and typically more stable profiles.
   • Rationale: Mid- and large-cap stocks are often more suitable for a general buy list because they tend to have more mature businesses, broader analyst coverage, and less extreme risk than small caps.

4. moving_average_relationship = PriceAboveMA200:

   • Purpose: Select stocks with positive long-term technical trend.
   • Rationale: Stocks trading above the 200-day moving average are often considered to be in a longer-term uptrend. This helps align the screen with stocks that have stronger price momentum and better technical health, which can improve the odds of selecting stronger candidates.

5. list_exchange in [XNYS, XNAS, XASE]:

   • Purpose: Restrict the universe to major U.S. exchanges.
   • Rationale: This keeps the screen focused on U.S.-listed stocks on NYSE, Nasdaq, and NYSE American, which are generally more transparent, more liquid, and easier to evaluate than foreign or over-the-counter securities.

6. region = US:

   • Purpose: Limit results to U.S. companies.
   • Rationale: The user specifically asked for “US stocks,” so this filter ensures the output matches the geographic scope of the request.

7. analyst_consensus in [Strong Buy, Moderate Buy]:

   • Purpose: Incorporate Wall Street conviction into the screen.
   • Rationale: This narrows the list to stocks that analysts generally view favorably, which can be useful when searching for “best” stocks. It doesn’t guarantee performance, but it does help prioritize names with positive fundamental expectations.

8. target_price_upside_potential = MoreAbovePrice:

   • Purpose: Look for stocks where analysts see upside from current prices.
   • Rationale: If the goal is to find stocks to buy, it makes sense to include names where consensus price targets imply meaningful upside. This helps focus the screen on stocks that may have attractive return potential based on current analyst estimates.

Why Results Match:

• The screen is built to find U.S. stocks, exactly matching the user’s geographic request.
• It emphasizes quality and investability by focusing on mid- and large-cap, liquid, and major-exchange-listed names.
• It adds a technical strength filter by requiring the stock to be above the 200-day moving average, which helps identify stronger trends.
• It incorporates fundamental/analyst sentiment through Strong Buy / Moderate Buy ratings and positive price upside, which is useful when searching for attractive buy candidates.
• Overall, these filters are appropriate for a general “best US stocks to buy” query because they combine size, liquidity, trend, and analyst confidence to surface higher-quality candidates rather than speculative or hard-to-trade names.