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1
Introduction to AI Prototyping with Python
2
Essential Skills for AI Development
3
Historical Context of Software Development
4
The Rise of Gen AI Tools
5
Applications of Time Series Analysis
6
Methodologies for Building AI Prototypes
7
Training AI Models for Prototyping
8
Custom GPTs and Practical Implementation
9
Building an Algorithmic Trading System
10
Training the GPT-40 Model
11
Providing Contextual Input
12
Developing the Trading Strategy
13
Refactoring and Testing the Code
14
Data Ingestion and Analysis
15
Walkthrough of QuantLab
16
Using Visual Studio and GitHub Copilot
17
Final Thoughts and Future Directions
Description:
Explore the intersection of AI, Python, and financial analysis in this 24-minute conference talk from Conf42 IM 2024. Dive into essential AI development skills, the evolution of software development, and the emergence of generative AI tools. Learn about time series analysis applications, methodologies for AI prototype construction, and model training techniques. Discover how to build an algorithmic trading system using custom GPTs, develop trading strategies, and refine code. Gain insights into data ingestion, analysis processes, and practical implementations with tools like QuantLab, Visual Studio, and GitHub Copilot. Conclude with a forward-looking perspective on AI in financial analysis.

Using AI and Python to Prototype Financial Analysis Solutions

Conf42
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