Give me 10 stocks to buy on Monday

Screening Filters

1. monthly_average_dollar_volume ≥ 1,000,000

   • Purpose: Ensure stocks are liquid and easy to trade in and out of.
   • Rationale:
     • You asked for stocks to buy on Monday; that implies you might want to enter (and later exit) positions without moving the price too much.
     • A minimum of $1M in average monthly dollar volume filters out illiquid, thinly traded names that can have wide bid–ask spreads and higher transaction costs.
     • This makes the list more practical and tradable for most investors.

2. moving_average_relationship: PriceAboveMA200

   • Purpose: Focus on stocks in established longer-term uptrends.
   • Rationale:
     • Price above the 200-day moving average is a classic technical signal that a stock is in a primary uptrend rather than a prolonged downtrend.
     • For someone looking for “stocks to buy,” this bias toward strength (instead of trying to catch falling knives) helps align the picks with positive momentum and more constructive technical setups.

3. list_exchange: XNYS, XNAS, XASE (NYSE, Nasdaq, NYSE American)

   • Purpose: Limit results to major US exchanges.
   • Rationale:
     • You specifically asked for stocks from the US stock market.
     • Restricting to NYSE, Nasdaq, and NYSE American avoids OTC/pink sheet securities, which often have poorer reporting standards, lower liquidity, and higher risk.
     • This keeps the universe to better-regulated, more transparent companies.

4. is_index_component: GSPC (S&P 500 components)

   • Purpose: Focus on large, established US companies.
   • Rationale:
     • The S&P 500 (ticker ^GSPC) is composed of large, leading US companies with minimum size, liquidity, and profitability standards.
     • For a “buy on Monday” list, this filters out microcaps and speculative names, and emphasizes more stable, institutionally followed stocks.
     • It aligns the results with a core-investing universe many investors use as a starting point.

5. pe_ttm between 8 and 28

   • Purpose: Avoid extremes of valuation (very expensive or very distressed/possibly troubled).
   • Rationale:
     • A P/E below ~8 can sometimes indicate deep value, but also potential structural problems, cyclicals at peak earnings, or distress.
     • A P/E above ~28 often reflects very high growth expectations or hype, increasing the risk of multiple compression.
     • By constraining P/E to 8–28, the filter aims for a middle ground: reasonably valued companies, neither extreme “value traps” nor “bubble-like” valuations, more consistent with a balanced buy list.

6. one_month_predict_return ≥ 5

   • Purpose: Tilt toward stocks with a model-estimated higher probability of positive near-term performance.
   • Rationale:
     • This uses some predictive or ranking model (e.g., based on fundamentals, technicals, or quant signals) that estimates expected 1‑month return.
     • Requiring at least a 5% predicted one‑month return doesn’t guarantee performance, but it biases the search toward names where the model sees favorable risk–reward over the next month.
     • That aligns with your desire for actionable ideas “to buy on Monday” with some short‑term upside potential.

Why Results Match Your Request

• The universe is limited to US-listed, major-exchange, S&P 500 stocks, directly satisfying your “US stock market” requirement while focusing on established companies.
• The liquidity filter ensures the chosen names are realistically tradable on Monday for most investors.
• The technical trend filter (price above 200‑day MA) steers you toward stocks already in longer-term uptrends, consistent with seeking buy candidates rather than turnaround gambles.
• The valuation filter keeps you away from extreme valuations in either direction, targeting more balanced risk.
• The predicted 1‑month return filter aligns the list with stocks that, according to a quantitative model, have relatively attractive short-term prospects—useful when you’re specifically asking what to buy now.

Together, these filters produce a focused, liquid, large‑cap US list of reasonably valued stocks in uptrends, with a model-based positive outlook over the next month—matching the intent behind asking for 10 stocks to buy on Monday.