Predict most bullish ticker next week

First, an important clarification

No screen or model can guarantee which single ticker will be “the most bullish” next week. What we can do is tilt the odds in your favor by:

• Focusing on liquid, tradable names
• Using probability/return forecasts to find stocks with higher estimated odds of rising and higher expected short‑term returns

The filters your colleague applied are designed precisely for that.

Screening Filters

1. Market Cap ≥ $2,000,000,000

   • Purpose: Focus on mid‑ and large‑cap U.S. stocks.
   • Rationale:
     • Larger companies tend to have more stable trading, better disclosure, and less manipulation than tiny micro‑caps.
     • For “most bullish” ideas, you typically want moves in credible, institutionally followed names, not illiquid penny stocks whose spikes are often noise or pump‑and‑dump behavior.
     • This filter removes very small, speculative names and keeps the universe in a more reliable, investable range.

2. Monthly Average Dollar Volume ≥ $500,000

   • Purpose: Ensure sufficient liquidity.
   • Rationale:
     • Dollar volume = price × volume. A minimum of $500k per month (or more precisely, a threshold like this) helps ensure you can actually enter and exit positions without huge slippage.
     • Illiquid stocks can show “bullish” signals but be impossible to trade efficiently. This filter keeps only tradable candidates.

3. Moving Average Relationship: PriceAboveMA20

   • Purpose: Require the current price to be above its 20‑day moving average.
   • Rationale:
     • Being above the 20‑day MA is a classic short‑term uptrend indicator.
     • If you’re looking for “most bullish” for next week, it’s reasonable to start with stocks that are already in a short‑term positive trend, rather than stocks below their 20‑day average (which are often in a short‑term downtrend or consolidation).
     • This aligns your request (“most bullish next week”) with momentum‑friendly candidates.

4. Region: United States

   • Purpose: Limit results to U.S. companies.
   • Rationale:
     • You specifically asked for the U.S. stock market.
     • This ensures all tickers are U.S.-listed operating companies, aligning with your geographic focus and the behavior of U.S. markets, regulations, and trading hours.

5. Exchange: XNYS, XNAS, XASE (NYSE, NASDAQ, AMEX)

   • Purpose: Use major U.S. exchanges only.
   • Rationale:
     • These are the primary U.S. equity exchanges, where most high‑quality, liquid stocks trade.
     • Excluding OTC and pink sheets further filters out less regulated, more speculative securities.
     • This is consistent with seeking robust, tradable “bullish” names rather than obscure tickers.

6. One‑Week Rise Probability ≥ 70%

   • Purpose: Only include stocks with a model‑estimated probability of rising next week of at least 70%.
   • Rationale:
     • This directly targets what you asked for: bullish next‑week behavior.
     • A ≥70% threshold is relatively strict and prioritizes names where the model believes the odds of a positive 1‑week return are materially above 50/50.
     • While not a guarantee, it helps narrow the universe to higher‑probability bullish setups based on historical patterns and features used in the model.

7. One‑Week Predicted Return ≥ 5%

   • Purpose: Require a minimum forecasted upside over the next week.
   • Rationale:
     • A stock can have a high probability of rising but with a tiny expected gain (e.g., +0.5%).
     • By adding a ≥5% predicted 1‑week return filter, the screen seeks names that are not only likely to go up but also have meaningful upside potential in that timeframe.
     • This is closely aligned with your phrase “most bullish” – favoring larger expected moves, not just marginal gains.

Why the Results Match Your Intent

• You want: “the most bullish ticker in the US stock market for next week.”
• The screen responds by:
  • Restricting to U.S., major‑exchange, liquid, mid/large‑cap stocks (credible and tradable universe).
  • Ensuring a short‑term uptrend is in place (PriceAboveMA20).
  • Applying quantitative forecasts for both:
    • High probability of a positive 1‑week return (≥70%), and
    • Sufficient magnitude of that expected return (≥5%).

In combination, these filters don’t promise the single “winner,” but they systematically narrow down to a small set of candidates that the model considers both likely and meaningfully poised to move up next week, which is the most realistic, data‑driven way to interpret your request.