Screening Filters
monthly_average_dollar_volume ≥ 500,000
- Purpose: Ensure the stocks are sufficiently liquid and practical to trade.
- Rationale:
- “Best strong buy stocks” usually implies names where you can realistically enter and exit positions without excessive slippage.
- A minimum monthly average dollar volume of $500k filters out illiquid microcaps and very thinly traded stocks that might move sharply on small orders or be hard to trade at fair prices.
moving_average_relationship: PriceAboveMA20
- Purpose: Focus on stocks with a positive short-term technical trend.
- Rationale:
- The user wants ideas “for today”; that leans toward names with favorable near-term price action.
- Price above the 20-day moving average suggests the stock is in a short-term uptrend or recovery phase, rather than clearly downtrending.
- This helps avoid many names that might be “Strong Buy” fundamentally but are still technically weak or sliding.
list_exchange: XNYS, XNAS, XASE
- Purpose: Restrict results to major U.S. exchanges.
- Rationale:
- The user asked about the US stock market, which is primarily NYSE (XNYS), Nasdaq (XNAS), and NYSE American / AMEX (XASE).
- This excludes OTC, pink sheets, and foreign exchanges, which might be less regulated, less liquid, or outside the user’s intended universe.
one_day_rise_prob ≥ 55
- Purpose: Tilt toward stocks with a higher modeled probability of rising in the next trading day.
- Rationale:
- “For today” suggests a short-term performance focus rather than just long-term fundamentals.
- A minimum 55% probability of a one-day rise (based on a model or historical/quantitative signal) is not a guarantee, but it biases the list toward names with a statistical edge for near-term upside relative to a 50/50 baseline.
- This helps align the screen with the user’s time frame (today) instead of only long-term outlook.
analyst_consensus: Strong Buy
- Purpose: Capture only stocks that the analyst community is very bullish on.
- Rationale:
- The user explicitly asked for “best strong buy stocks”, which clearly maps to the analyst rating scale where “Strong Buy” is the highest conviction category.
- This filter ensures that multiple analysts, on average, have high confidence in the stock’s prospects (earnings growth, business quality, valuation, etc.).
- It also excludes mere “Buy” or “Hold” names to keep the list focused on top-rated ideas.
target_price_upside_potential: MoreAbovePrice
- Purpose: Ensure analysts’ target prices imply meaningful upside from the current price.
- Rationale:
- “Best” strong buys generally should not just be highly rated, but also have room to run according to analyst targets.
- Requiring the target price to be above the current market price (and by more than a trivial amount) helps avoid cases where the stock is already at or above its consensus target.
- This aligns with the idea of attractive risk–reward: analysts see further upside rather than the move already being “priced in.”
Why Results Match the User’s Request
- The “Strong Buy” analyst consensus and upside target price filter directly address the desire for “best strong buy stocks,” capturing high-conviction, high-upside names.
- The U.S. exchange filter ensures all results are from the US stock market, as requested.
- The liquidity (dollar volume) and PriceAboveMA20 filters refine the list to stocks that are both practical to trade and currently in a favorable short-term technical posture.
- The one_day_rise_prob constraint adds a short-term, probabilistic edge appropriate for ideas “for today,” complementing the longer-term analyst views.
Together, these filters narrow the universe to U.S.-listed, liquid stocks that analysts rate as strong buys, see further upside in, and that currently show supportive technicals and a higher-than-average probability of near-term gain.
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.