Interested in ai or data or robotics

Screening Filters

1. Market Cap ≥ $5,000,000,000

   • Purpose: Focus on larger, more established companies.
   • Rationale:
     • Big, liquid names tend to have deeper options markets (tighter bid–ask spreads, more open interest), which helps you get in and out at reasonable prices and improves the odds your orders are executed.
     • Larger AI / data / robotics players are often “platform” companies or key suppliers (chips, software, cloud), which are central to those themes and less prone to extreme single‑headline risk than tiny speculative names.

2. Monthly Average Dollar Volume ≥ $1,000,000

   • Purpose: Ensure the underlying stock itself trades actively in dollar terms.
   • Rationale:
     • High dollar volume means many shares changing hands at meaningful value, which generally translates into better liquidity in the options as well.
     • For the kind of “high probability / low cost” options strategies you’re asking about (e.g., credit spreads, covered calls, defined‑risk plays), liquidity is crucial to get fair prices and avoid excessive slippage that can eat into profits.

3. Themes: AI Beneficiary, Cloud Computing, Big Data, Robotics, Semiconductor Equipment & Materials, Software as a Service, Technology, Electronic Components

   • Purpose: Directly target companies exposed to AI, data, and robotics, plus the key enabling technologies around them.
   • Rationale (by theme):
     • AI Beneficiary: Captures companies whose revenues or growth are meaningfully tied to AI adoption (model developers, infrastructure providers, chipmakers, etc.).
     • Cloud Computing: AI workloads run heavily in the cloud; major cloud providers and related infrastructure are core AI plays.
     • Big Data: Data storage, analytics, and data‑platform companies are essential to training and deploying AI models.
     • Robotics: Direct exposure to your “robotics” focus—industrial automation, autonomous systems, and related hardware/software makers.
     • Semiconductor Equipment & Materials: The hardware backbone of AI (GPUs, accelerators, memory, fab equipment) lives here; these are critical AI/ML and data‑center enablers.
     • Software as a Service (SaaS): Many AI and analytics tools are delivered as SaaS; this captures application‑layer beneficiaries (AI‑enhanced software, workflow tools, etc.).
     • Technology / Electronic Components: Broader tech ecosystem around AI, data, and robotics (sensors, networking, supporting chips and modules).
   • Together, these themes ensure the list is strongly tilted toward exactly the sectors you requested: AI, data, and robotics, plus the key infrastructure around them.

4. is_optionable = True

   • Purpose: Limit results to stocks that have listed options.
   • Rationale:
     • You specifically asked for “good options to look at,” so the underlying must have tradable options chains.
     • This filter automatically drops any AI‑related names that don’t actually support options strategies, making the results directly usable for building spreads, calls, puts, etc.

5. option_sentiments = ['Bullish']

   • Purpose: Focus on underlyings where options market positioning or sentiment is currently positive.
   • Rationale:
     • You want strategies with a “high probability of being executed profitably.” While nothing can guarantee profits, screening for bullish options sentiment tilts you toward names where:
       • Options flow / positioning suggests market participants are leaning positive.
       • Implied demand for upside exposure or downside protection is skewed in a way that may support bullish or neutral‑to‑bullish strategies.
     • For example, if you’re selling put spreads or calls on AI names with bullish sentiment, you’re aligning your trade direction with where options traders are currently positioned, which can improve the statistical odds compared with fighting prevailing sentiment.

Why Results Match Your Request

• The theme filters (AI Beneficiary, Cloud, Big Data, Robotics, etc.) directly align with “stocks or financial instruments related to AI, data, or robotics.”
• The market cap and dollar volume filters prioritize liquid, established names, which are better suited for options trading, often with tighter spreads and more reliable execution—important for “low cost” and higher‑probability setups.
• The is_optionable filter guarantees that every result actually has listed options you can trade.
• The bullish option sentiment filter aligns with your desire for higher‑probability, profit‑seeking strategies by focusing on underlyings where options traders are currently optimistic, giving you a more favorable backdrop for bullish or income‑oriented option structures.