Free AI Trading Webinar: Learn How AI Is Used in Structured Market Analysis
Learn how conversational AI tools such as ChatGPT are used within professional trading and research education in this free, on-demand AI Trading Webinar, created and presented by Sachin Kotecha. This educational session explores how AI can support market research, macroeconomic context, technical analysis, sentiment assessment, and risk considerations as part of a structured analytical workflow. It examines how AI tools are integrated as decision-support systems to improve organisation, efficiency, and clarity when working with market information, without automation or coding requirements. The focus is on understanding responsible and disciplined use of AI in market analysis rather than outcomes or execution. The webinar is suitable for learners exploring AI tools for the first time, as well as those looking to add structure and consistency to their analytical process, highlighting how human judgement and machine-assisted analysis can work together within professional market study.
Trade Smarter With AI — Learn How AI Is Used to Analyse Markets, Structure Insights, and Support Decision-Making in the AI Trading Masterclass
What You’ll Learn In This Free AI Trading Webinar
In this focused educational session, the webinar explores how AI tools can be applied across different stages of market research and analysis. Each topic is illustrated through practical examples, showing how AI is incorporated into existing analytical frameworks and workflows as a support mechanism rather than a replacement for human judgement. The emphasis is on understanding how AI can enhance structure, efficiency, and consistency within an established analytical process, supporting clearer organisation of information and more disciplined market study.
You’ll learn:
AI Foundations for Traders — How conversational AI works, what it can and cannot do, and how it is used responsibly within professional market analysis and research environments.
Prompt Engineering Essentials — How prompts are structured to extract organised, consistent information from market data for research and analytical purposes.
Macro and Fundamental Analysis — How AI can be used to interpret economic indicators such as GDP, inflation, and central bank communications within a structured analytical framework.
Technical Analysis Support — How AI can summarise chart context, organise technical observations, and support post-analysis review processes in an educational setting.
Sentiment and News Analysis — How AI is used to organise news flows and narratives to support clearer interpretation of market sentiment and risk themes.
Risk and Process Structuring — How predefined rules and analytical routines can be documented, reviewed, and organised using AI-assisted workflows.
Strategy and Scenario Analysis — How structured playbooks and scenario-based analysis are developed and evaluated using AI as a research and decision-support tool.
Our Reach & Results
Through structured education and professional trading frameworks, Traders MBA provides learning resources for individuals seeking a disciplined, credible approach to understanding financial markets. Our webinars, masterclasses, and analytical content focus on structure, methodology, and market mechanics, supporting informed learning rather than promotional claims or hype.
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Who This AI Trading Webinar Is For
The Trading Psychology Webinar is designed for both beginners and more experienced learners who want to move beyond unstructured market behaviour and develop a more analytical, process-led approach to decision-making in trading environments.
It’s ideal if you:
Use conversational AI to organise and support market research and analysis within a structured, educational framework.
Move away from bias and guesswork by applying structured, logic-based analytical frameworks.
Learn how AI tools can be used in an accessible, no-code way to support research and analysis within a structured learning framework.
Develop consistent, disciplined analytical workflows supported by AI-assisted tools within a structured, educational framework.
About The Instructor — Edward Sterling
Sachin Kotecha is the instructor behind the AI Trading Masterclass at Traders MBA. His teaching approach is calm, structured, and analytical, focusing on how AI concepts are applied within professional market research and analysis workflows. The emphasis is on clarity and practical understanding, showing how AI tools can be incorporated into structured, no-code processes to support organisation, insight, and disciplined analysis. The approach avoids hype or automation claims, positioning technology as a support tool within a professional, education-led framework.
AI TRADING MASTERCLASSWhy Structured Education Matters
AI is increasingly discussed within professional trading education as a tool that can support research and analysis when used responsibly. This webinar focuses on separating marketing hype from practical application, outlining the structured and realistic ways AI tools are incorporated into professional research and review workflows. The session emphasises how analysts frame questions, organise information, and communicate with AI systems to support structured thinking and efficiency. The focus is on learning process, discipline, and effective use of technology within an educational context, rather than on execution or outcomes.
Webinar Format
Type: Free on-demand educational webinar
Duration: ≈ 22 minutes
Access: Instant and on demand
Language: English
Instructor: Edward Sterling
Continue Your Learning With the AI Trading Masterclass!
Continue Your Journey With Traders MBA
If this webinar encourages further learning, the next step is the AI Trading Masterclass — a structured 24-module educational programme that explores how artificial intelligence can be incorporated into different stages of market research and analysis. The programme covers topics such as prompt design, structured analytical logic, and the use of AI tools across macroeconomic context, technical review, and sentiment interpretation. It also examines how AI can support areas such as risk review, journaling processes, and scenario analysis within a disciplined, education-led workflow. The focus is on understanding how technology can be used responsibly to organise information, support analysis, and improve process consistency, blending professional analytical discipline with modern AI capabilities in an educational setting.
Frequently Asked Questions
Before exploring the full details, here are answers to some of the most common questions about the AI Trading Webinar, including access, format, and how the learning pathway continues beyond this session. This overview is designed to clarify what the webinar covers and what to expect before starting.
Is the AI Trading Webinar free?
Yes. The AI Trading Webinar is completely free and available instantly on demand across supported devices.
Do I need to know how to code?
No. The session introduces conversational AI tools in an accessible, no-code format for educational and analytical purposes.
What AI tools are used?
The session demonstrates example workflows using conversational AI platforms such as ChatGPT, focusing on how these tools are used within market research and analysis contexts.
How long is the webinar?
The webinar runs for approximately 22 minutes and can be paused, replayed, or resumed at any time.
What’s next after the webinar?
If you choose to continue learning, the AI Trading Masterclass explores these concepts in greater depth through a structured 24-module educational programme focused on AI-supported research, analysis, and process design.
Start Watching Now
AI is increasingly influencing how market research and analysis are approached, and understanding how these tools are used has become an important part of modern trading education. This free AI Trading Webinar, created and presented by Sachin Kotecha, explores how conversational AI tools are incorporated into professional research and analytical workflows. The session focuses on how AI can support tasks such as organising information, analysing market context, and reviewing decisions within a structured, disciplined framework. It is available to watch on demand and is designed to support learning and understanding rather than outcomes or execution.
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