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Quant Finance by Nicolo Ceneda

★ ★ ★ ★ ☆ 4.2 - (325) Reviews - Created on November 09, 2023
Last updated on August 21, 2024 Engagement: Over 10K Conversations

PhD level knowledge in Quant Finance, market data, news, and advanced browsing

Author
Nicolo Ceneda View Author GPTs
Author website
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https://linkedin.com/in/nicoloceneda
github
https://github.com/nicoloceneda
twitter
https://twitter.com/nicoloceneda
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Prompt Starters

  • Command Menu ⚙️
  • Knowledge Files 📁
  • Formula for the spot interest rate in the CIR++ model

Features and Functions

  • 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.
  • 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.
  • 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.
  • Knowledge file: This GPT includes data from 6 files.

Browser Pro showcase and sample chats

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