One-week Predicted Return ≥ 3%

Screening Filters

1. Market cap ≥ $5,000,000,000 (market_cap)

   • Purpose: Focus on larger, more established companies.
   • Rationale: Bigger companies tend to have tighter bid–ask spreads, deeper options markets, and lower risk of sudden illiquidity — all important when you’re trading options with a small account.

2. Share price between $5 and $20 (price)

   • Purpose: Keep the stock price in a range where options contracts are more likely to be affordable with ~$50.
   • Rationale: Options prices are heavily influenced by the underlying stock price. Stocks in this range often have option premiums that a $50 account can realistically trade (especially single contracts or short-dated options).

3. Monthly average dollar volume ≥ $2,000,000 (monthly_average_dollar_volume)

   • Purpose: Ensure sufficient liquidity.
   • Rationale: Higher dollar volume generally means tighter spreads and easier entry/exit, both in the stock and its options. This reduces slippage, which can be a big cost relative to a $50 position.

4. Region: United States (region)

   • Purpose: Limit to U.S. markets.
   • Rationale: U.S. markets (NYSE/NASDAQ/AMEX) are among the deepest and most liquid, with highly developed options markets and better data quality, which is important for predictive metrics like “one-week predicted return.”

5. Exchange in XNYS, XNAS, XASE (list_exchange)

   • Purpose: Focus on major U.S. exchanges (NYSE, NASDAQ, AMEX).
   • Rationale: These exchanges list the most liquid and widely traded stocks, which are also the most likely to have active options chains.

6. One-week rise probability ≥ 60% (one_week_rise_prob)

   • Purpose: Require a relatively high model-estimated probability that the stock will be higher in one week.
   • Rationale: This filter is meant to increase the odds (not guarantee) that a short-term bullish options trade works in your favor, by requiring at least a 60% model-estimated chance of a price rise over the next week.

7. One-week predicted return ≥ 3% (one_week_predict_return)

   • Purpose: Directly address your request: “One-week predicted return ≥ 3%.”
   • Rationale: This matches your criterion exactly. We’re only including stocks where the model expects at least a +3% move over the coming week. This is a relatively aggressive short-term return target, which narrows the list sharply.

8. Options available (is_optionable = True)

   • Purpose: Only include stocks that actually have listed options.
   • Rationale: You explicitly want to trade options, so stocks without options are automatically excluded.

Do the Filters Match Your Request?

• Your explicit request here is: One-week predicted return ≥ 3%.
• We do support this indicator and have used it exactly as requested via one_week_predict_return: { min: 3 }.
• Additional filters (probability of rise, liquidity, market cap, etc.) are there to:
  • Make sure the options are likely to be tradeable with $50.
  • Avoid highly illiquid or very risky names.
  • Increase the practical chance you can enter and exit an options trade without massive slippage.

So yes, your specific criterion is correctly reflected, and the rest of the filters are there to make the results actually usable for options trading with a small account.

Why No Results Were Returned

No stocks matched all of the following at the same time:

• Large cap (≥ $5B),
• Priced between $5–$20,
• Monthly dollar volume ≥ $2M,
• U.S. major exchanges,
• Has listed options,
• Predicted 1-week return ≥ 3%, and
• Rise probability ≥ 60%.

The combination of high predicted return (≥3%) and high rise probability (≥60%), on top of all the liquidity and quality filters, is very restrictive. In the current market, there may simply be no large, liquid, optionable stocks in your price band that our model rates as both:

• Likely to go up (≥60% probability), and
• Expected to gain at least 3% in just one week.

That’s why the result set is empty: not because the query is invalid, but because it’s too strict given real market conditions right now.

Would You Like to Adjust the Filters?

If you’re open to relaxing some constraints, we can probably find candidates. For example, we could:

• Lower one-week predicted return from ≥3% to ≥1–2%, or
• Lower the rise probability from ≥60% to ≥50–55%, or
• Widen the price range (e.g., $3–$30), or
• Allow somewhat smaller companies (e.g., market cap ≥ $1B).

Tell me which constraints you’re most comfortable loosening (return %, probability, price range, or market cap), and I’ll explain how that changes the kind of stocks you’ll see.