Using AI and Python to Prototype Financial Analysis Solutions

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.

Introduction to AI Prototyping with Python
Essential Skills for AI Development
Historical Context of Software Development
The Rise of Gen AI Tools
Applications of Time Series Analysis
Methodologies for Building AI Prototypes
Training AI Models for Prototyping
Custom GPTs and Practical Implementation
Building an Algorithmic Trading System
Training the GPT-40 Model
Providing Contextual Input
Developing the Trading Strategy
Refactoring and Testing the Code
Data Ingestion and Analysis
Walkthrough of QuantLab
Using Visual Studio and GitHub Copilot
Final Thoughts and Future Directions