Predict most bullish ticker

Important Context

No screen can guarantee which single ticker will be “the most bullish” or produce the best return in the future. What we can do is narrow the U.S. stock universe to names that, based on trend, momentum, predictive metrics, and options sentiment, statistically look very bullish right now. The filters below are designed for that.

Screening Filters

1. moving_average_relationship: PriceAboveMA20, PriceAboveMA200

   • Purpose: Identify stocks in both a short-term and long-term uptrend.
   • Rationale:
     • PriceAboveMA20: The stock’s current price is above its 20-day moving average, a standard short-term trend indicator. This flags near-term strength and ongoing upside momentum.
     • PriceAboveMA200: The price is also above the 200-day moving average, a classic long-term trend gauge. This helps ensure the stock isn’t just in a short-lived bounce but is part of a broader uptrend.
     • Combining both makes the list skew toward strongly trending, technically bullish stocks rather than those in downtrends or choppy ranges.

2. rsi_category: moderate, overbought

   • Purpose: Capture stocks with strong momentum, while allowing for both robust but not extreme momentum (“moderate”) and very strong momentum (“overbought”).
   • Rationale:
     • RSI (Relative Strength Index) measures recent price strength. Higher RSI generally reflects persistent buying pressure.
     • Including overbought accepts names where buyers have been very aggressive—often a feature of very bullish situations, even though it can also mean “extended.”
     • Including moderate avoids filtering only the most stretched names and keeps stocks with solid, sustainable momentum that may still have room to run.
     • Together, this focuses the screen on stocks where buyers clearly dominate, consistent with “most bullish” behavior.

3. region: United States

   • Purpose: Limit the universe to U.S. stocks, as requested.
   • Rationale:
     • The user specifically asked about the US stock market, so we exclude international listings.
     • This ensures the screen is aligned with U.S. regulation, liquidity, and typical trading hours.

4. list_exchange: XNYS, XNAS, XASE (NYSE, NASDAQ, AMEX)

   • Purpose: Focus on major U.S. exchanges with better liquidity and data quality.
   • Rationale:
     • These are the primary U.S. stock exchanges where the vast majority of significant, investable U.S. equities trade.
     • Filtering to these avoids OTC/pink-sheet names that can be illiquid or risky, helping keep the candidates to mainstream, tradable stocks.

5. one_week_rise_prob: {min: 75}

   • Purpose: Select stocks with a high model-estimated probability of rising over the next week.
   • Rationale:
     • This is a predictive metric: a statistical model estimates the chance that the stock’s price will be higher in one week.
     • Requiring a minimum of 75% means we only keep stocks where the model indicates a strong skew toward upside in the very near term.
     • This directly aligns with the user’s desire for the “most bullish” names by emphasizing high-probability short-term gains.

6. one_week_predict_return: {min: 8}

   • Purpose: Ensure not just a high probability of going up, but also a meaningful expected magnitude of that move.
   • Rationale:
     • A stock could have a high chance of a small gain; this filter instead demands that the predicted one-week return is at least 8%, which is very aggressive on a weekly horizon.
     • This focuses the screen on candidates that models consider both likely to rise and likely to rise a lot, which is consistent with “most bullish” rather than “slightly positive.”

7. option_sentiments: Bullish

   • Purpose: Incorporate options market positioning to capture external trader/investor optimism.
   • Rationale:
     • Options flow and positioning (e.g., call vs put activity, implied sentiment) often reflect the views of more sophisticated or leveraged market participants.
     • Requiring bullish options sentiment means that, in addition to price action and model predictions, the derivatives market is leaning bullish on these names.
     • This adds a second, independent measure of “bullishness” beyond just the stock’s price chart.

Why Results Match the User’s Request

• “Most bullish” is translated into quantifiable traits: strong uptrends (above 20- and 200-day MAs), strong momentum (RSI), bullish crowd positioning (options sentiment), and positive predictive signals (high rise probability and high expected return).
• Short-term prediction emphasis: The one-week probability and expected return filters directly address the “predict” aspect, focusing on near-term upside potential rather than just historical strength.
• U.S.-only and major exchanges: The region and exchange filters confine results to the core U.S. stock market the user cares about, avoiding illiquid or fringe listings.

Together, these filters narrow the market to U.S. stocks that are:

• In clear uptrends,
• Showing strong buying momentum,
• Statistically modeled to have a high chance of sizable gains in the next week, and
• Supported by bullish options sentiment—
  all of which are characteristics one would expect from tickers that are among the most bullish in the current U.S. market.