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Python Quant
Python Quant is a domain-specific GPT specifically tailored for users with interests in the field of Python for Quantitative Finance. Leveraging the underlying technology of ChatGPT, the tool comes with a friendly and professional demeanor designed to make educated assumptions that help answer user's queries or concerns.
Python Quant functionalities go beyond answering questions related to Python Quantitative Finance; it can provide guidance on analysis of stock data with Python, narration through the Black-Scholes model in Python, make recommendation on Python tools for quantitative finance, and demonstrate plotting of financial trends in Python.
Furthermore, Python Quant can provide insights on commonly used Python libraries in finance and recommend git repositories relevant to quantitative finance.
Given its particular focus on the sector of Quantitative Finance with Python, Python Quant is an excellent tool for both professionals and hobbyists in the financial analysis sector.
Python Quant aims to provide users with answers to difficult problems and examples, and in doing so, simplify the process of learning and applying Python to the world of finance.
Releases
Pricing
Prompts & Results
Add your own prompts and outputs to help others understand how to use this AI.
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847,701637v1.6 released 19d agoFree + from $12/mo
Reducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs -
12,50295v2.1 released 2mo agoFree + from $45/mo
This is the first AI marketing tool I’ve used that actually helps me get things done, not just suggest generic ideas. The mix of AI-powered strategy and real experts executing the work makes it feel like having a high-performance marketing team without the overhead
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MD Shahab, thank you for reporting the bug. That shouldn't have happened, and I'll investigate the issue. If it fails again, please try re-running the same query - this isn't a common occurrence. Since it's an agent-based system, it may take some time to combine responses from all sources.
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