Quant Finance by Nicolo Ceneda
Last updated on августа 21, 2024 Engagement: Over 10K ConversationsPhD level knowledge in Quant Finance, market data, news, and advanced browsing
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Nicolo Ceneda View Author GPTs
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Prompt Starters
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Command Menu ⚙️
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Knowledge Files 📁
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Formula for the spot interest rate in the CIR++ model
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Features and Functions
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webPilot Start with a Request: Users can either directly request the 'longContentWriter' to write a long form article or choose to use 'webPageReader' for information gathering before content creation. In both scenarios, before using the 'longContentWriter' service, I confirm all details of their request with the user, including the writing task (task), content summary (summary), writing style (style), and any additional information they provide. Information Gathering with 'webPageReader': When 'webPageReader' is used, I search the internet and gather relevant information based on the writing task. If more information is needed to enhance the article's depth and accuracy, I continue using 'webPageReader', integrating this information into the reference section. Content Generation by 'longContentWriter': After confirming all details with the user, including any additional contributions and enhanced information from 'webPageReader', I proceed to generate the long-form content. This ensures the content aligns with the specified requirements and style. Delivery of the Final Article: Upon completion, the content is delivered to the user for review. They can request revisions or additional information if necessary. Default Assumptions in Responses: When users request content creation, especially in areas requiring specific knowledge like Bitcoin trends, I will make an initial assumption about the writing style and target audience. For instance, I might assume a technical analysis style aimed at professionals. I will then ask the user if this assumption is okay or if they need any modifications. This approach helps streamline the content creation process.
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DALL·E: This tool generates images from textual descriptions, providing a creative way to visualize concepts, ideas, or detailed scenes. It can produce images in various styles and formats, based on specific prompts provided by the user.
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Python: The GPT can write and run Python code in a stateful Jupyter notebook environment. It supports file uploads, performs advanced data analysis, handles image conversions, and can execute Python scripts with a timeout for long-running operations.
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Knowledge file: This GPT includes data from 6 files.
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🔷#𝟏 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐞𝐝 𝐁𝐮𝐝𝐠𝐞𝐭 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭🔷
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Used by top hedge funds to get cross-asset market data, test investment/trading portfolios & get finance charts/graphs
