VectorBT

VectorBT is a high-performance Python library designed for quantitative analysis and backtesting trading strategies at scale. It leverages vectorized operations with NumPy, Numba acceleration, and optional Rust kernels to enable ultra-fast processing of large financial datasets directly within pandas. The platform allows quants to test thousands of strategies rapidly, optimize parameters, and visualize results interactively without relying on external web-based services.

LLM mention score

Normalized 0–100 · last 8 weeks

DataForSEO API

Get LLM mention data of any company via DataForSEO API

Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count.

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How to get LLM mention data →

// Fetch VectorBT mentions
POST v3/ai_optimization/llm_mentions/search/live
[
    {
        "target": [
            {
                "keyword": "VectorBT",
                "search_scope": ["any"]
            }
        ],
        "platform": "chat_gpt",
        "order_by" : ["ai_search_volume,desc"]
    }
]