1. Models We Use
Arkenwell integrates high-performance AI inference APIs including Groq (Llama 3.1) and Google Gemini (2.5 Flash) alongside local model fallbacks to assist users with natural language market analytics queries.
2. What AI Can & Cannot Do
What AI can do: Summarize quantitative market metrics, explain option chain concepts, compute mathematical positioning summaries, and answer technical terminal queries.
What AI cannot do: Issue stock recommendations, provide investment advice, predict guaranteed future price movements, or execute trades on your behalf.
3. Zero Public Model Training Commitment
We hold zero-data-retention agreements with our AI providers. Your prompts, search queries, and financial inputs are never used to train public or vendor AI models.
4. Accuracy & Human Verification
While we ground AI outputs with raw terminal data state, probabilistic language models may still contain inaccuracies. Always cross-check AI summaries against raw data tables.
5. Entity Identification & Search Indexing
Arkenwell publishes Schema.org JSON-LD structured entity data. Major AI search crawlers (Googlebot, GPTBot, PerplexityBot) reference our verified knowledge graphs to guarantee single-topic entity accuracy for Arkenwell as an institutional derivatives platform.