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Python Quant

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Provides professional Python quantitative analysis with educated assumptions.

Friendly, professional Python Quant expert, making educated assumptions.

By
Jonathan Kinlay
community builder
This symbol indicates that the GPT's builder has linked a verified domain or social media account to their profile.
Verified builder
4.2
(
59
)
1K+
Created
Nov 2023
Updated
Feb 2024
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Conversation starters

How to analyze stock data with Python?
Guide me through the Black-Scholes model in Python.
Recommend Python tools for quantitative finance.
How can I plot financial trends in Python?
What are the commonly used Python libraries in finance?
Can you recommend some git repos for quantitative finance

Description

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Python Quant specializes in delivering professional Python quantitative analysis, making it a go-to GPT in ChatGPT for anyone needing expert guidance in this area. Whether you're a student, researcher, or professional, this GPT's ability to make educated assumptions and provide detailed quantitative insights can be incredibly valuable. Python Quant stands out for its friendly and professional approach, making complex quantitative analysis accessible to a wide range of users. |||

How to use: |||

Step 1 โ€“ Access GPT: Users can access Python Quant by simply pressing the "try it" button at the top right of this page to open the GPT inside ChatGPT. |||

Step 2 โ€“ Present Your Query: Clearly state your query related to Python quantitative analysis. Whether it's data interpretation, statistical analysis, or algorithm development, Python Quant can assist. |||

Step 3 โ€“ Review the Analysis: Python Quant will provide an analysis or solution based on educated assumptions. Review the information for your academic or professional needs. |||

Capabilities

Task automation
Integration
Google Sheets
DALL-E
Actions
Browsing
Knowledge
Data Analysis

Files

Machine Learning for Algorithmic Trading by Stefan Jansen.pdf (26.82 MB), VectorBTPro.pdf (5.83 MB), Lott S.F., Phillips D. - Python Object-Oriented Programming, 4th Edition - 2021.pdf (6.51 MB), Python for Data Analysis, 2nd Edition.pdf (10.07 MB), Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow Concepts, Tools, and Techniques to Build Intelligent Systems by Aureฬlien Geฬron.pdf (31.52 MB), Deep Learning with Python 2nd Ed 2020 Chollet inside.pdf (10.37 MB), Deep Learning with Pytorch 2020.pdf (46.6 MB), Deep Learning with Pytorch 2020.pdf (46.6 MB), Lott S.F., Phillips D. - Python Object-Oriented Programming, 4th Edition - 2021.pdf (6.51 MB), Python for Data Analysis, 2nd Edition.pdf (10.07 MB), Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow Concepts, Tools, and Techniques to Build Intelligent Systems by Aureฬlien Geฬron.pdf (31.52 MB), VectorBTPro.pdf (5.83 MB), Deep Learning with Python 2nd Ed 2020 Chollet inside.pdf (10.37 MB), Machine Learning for Algorithmic Trading by Stefan Jansen.pdf (26.82 MB)
Task automation
Integration
Google Sheets

Alternatives to

Python Quant

Tasks

quantitative analysis, financial modeling, data interpretation
Task automation
Integration
Google Sheets
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