AI-Assisted Algorithmic Trading and Financial Data Analysis
About this Event
Join our free live seminar and discover how AI can support algorithmic trading, financial data analysis, and the development of trading strategies.
Algorithmic trading is no longer only about writing code from scratch. With Python, market data, backtesting tools, and AI-assisted coding, traders and professionals can move faster from idea to analysis, testing, and automation.
In this practical seminar, Innosoft Gulf will introduce how Python can be used to analyze financial data, explore trading ideas, backtest strategies, and prepare systems for automated trading. We will also discuss how AI tools can support research, code generation, debugging, strategy prototyping, and faster development.
No advanced programming background is required, but participants should have an interest in trading, financial markets, or data analysis.
Event Details
🗓️ Date: Monday, 29 June 2026
⏰ Time: 6:00 PM – 7:00 PM Dubai Time
📍 Venue: Dubai Knowledge Park, Block 6, Office 102
Key Highlights
• Why algorithmic trading matters
• Using Python for financial data analysis
• Backtesting trading ideas before going live
• How AI tools can support research, coding, and debugging
• Moving from notebooks to automated trading systems
• Overview of real market data pipelines and trading infrastructure
Who Should Attend?
This seminar is suitable for:
• Traders who want to understand systematic and algorithmic approaches
• Financial analysts who want to strengthen their data analysis skills
• Portfolio and wealth managers interested in modern trading technology
• Data scientists who want to apply analytics to financial markets
• IT professionals interested in the intersection of finance, data, and automation
• Students and professionals exploring careers in financial technology
How to Register
Participation in this seminar is free. However, due to limited seats, we highly recommend registering as soon as possible to secure your seat.
Where is it happening?
Event Location & Nearby Stays:
USD 0.00
