QuantAI Alpha Pick

Screening Filters

1. relative_vol >= 1.5

   • Purpose: Find stocks trading with above-average volume.
   • Rationale: A “QuantAI Alpha Pick” implies the user wants names with strong trading activity and potential momentum. Elevated relative volume helps surface stocks that are attracting attention, which can be important for short-term alpha ideas and confirms that price moves are being supported by participation.

2. PriceAboveMA20 and PriceAboveMA200

   • Purpose: Identify stocks in both short-term and long-term uptrends.
   • Rationale: Trading above the 20-day moving average suggests recent strength, while trading above the 200-day moving average indicates broader bullish trend support. Together, these filters help isolate stocks with constructive technical setups rather than weak or declining names.

3. RSI: moderate

   • Purpose: Exclude stocks that are extremely overbought or deeply oversold.
   • Rationale: For an alpha-oriented pick, “moderate” RSI helps target stocks that still have room to run without being stretched. This balances momentum with risk control and avoids chasing stocks that may already be too extended.

4. Themes: AI Beneficiary, Big Data, Cloud Computing, Semiconductor Equipment & Materials, Software as a Service, Technology

   • Purpose: Focus on high-growth, innovation-driven sectors tied to AI and digital infrastructure.
   • Rationale: The phrase “QuantAI Alpha Pick” suggests a technology- and AI-oriented opportunity set. These themes are directly aligned with AI adoption, data processing, cloud infrastructure, and semiconductor supply chains—areas that often attract strong investor interest and can generate persistent alpha when momentum is favorable.

5. Analyst consensus: Moderate Buy, Strong Buy

   • Purpose: Keep only stocks with favorable Wall Street sentiment.
   • Rationale: Positive analyst consensus adds a fundamental quality check to the technical and thematic filters. It helps ensure the selected stocks are not only trending well but also have supportive earnings or business outlooks, improving the odds that the screen finds credible alpha candidates.

Why Results Match:

• The screen is built to find high-conviction, technology-focused stocks that are showing real market momentum.
• It combines technical strength (price above key moving averages, elevated relative volume, moderate RSI) with growth-oriented themes (AI, cloud, semiconductors, SaaS, big data).
• Adding favorable analyst ratings helps prioritize names with both market and fundamental support.
• Overall, these filters are appropriate for a “QuantAI Alpha Pick” because they target stocks that are trending, actively traded, thematically aligned with AI growth, and positively viewed by analysts.