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Unclaimed ProfileNavigating the volatile realms of stock and cryptocurrency markets requires a modern edge, and Arnold Oberleiter’s masterclass on AI-driven investing delivers exactly that. This comprehensive program is designed for retail investors, day traders, and tech enthusiasts eager to harness the power of Large Language Models (LLMs) like ChatGPT, Claude, and Bard to optimize their trading strategies. Students transition from basic financial concepts to advanced automated trading systems by learning how to draft highly effective, finance-specific prompts. The curriculum dives deep into practical use cases, showing you how to quickly scan market charts, analyze corporate earnings reports, and execute sophisticated risk-management frameworks. Beyond theoretical analysis, the course offers hands-on guidance on programming your own trading bots and integrating them with active broker platforms for seamless, automated execution in Bitcoin, Ethereum, and traditional equity markets. Oberleiter balances technical instruction with a realistic look at the limitations of artificial intelligence, warning against over-reliance on algorithmic models and teaching students how to mitigate risk. Whether you are aiming to improve your personal financial literacy or deploy automated scripts to execute trades 24/7, this course bridges the gap between state-of-the-art machine learning and practical portfolio growth.
About the creator
Arnold Oberleiter
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Reviews
Arnold Oberleiter is a technical educator and developer specializing in cutting-edge AI technologies, autonomous agents, and practical automation tools. His instructional style bridges the gap between complex theoretical concepts and direct, hands-on application. He specializes in breaking down advanced paradigms—such as LLMs (ChatGPT, Gemini, Claude), local deployment of diffusion models, agentic workflows with n8n and LangChain, and integrating AI into daily productivity, investing, and development. By focusing on real-world utility, Arnold guides his students through building tangible local AI architectures, securing autonomous agent installations, and implementing API integrations. He teaches with a pragmatic, project-driven approach, designed to strip away the…Show more
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Program Overview
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Price may change · updated within 1–2 weeks
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Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Introduction to the basics of Artificial Intelligence and its application in trading and investing in cryptocurrencies, stocks, forex, etfs, BTC, ETH & more.
- Use of AI tools such as ChatGPT, Bing, Bard, and Claude from Anthropic to analyze business reports and financial metrics.
- Recognize and understand the role of Language Learning Models (LLMs) in AI.
- Immersion in what LLMs are and how they work.
- Investigating the token limit when using LLMs and how this affects prompting.
- Generating investment ideas and applying risk management through the use of advanced AI technologies.
- Integrating AI tools into trading system programming.
- Fast screening of charts with the help of artificial intelligence.
- Programming your own trading bot with AI and connecting this bot to a broker for automated trading.
- Critically examine the limitations and challenges of Artificial Intelligence in trading and investing.
- Perfect prompt engineering: create efficient and effective prompts for AI tools.
- Discuss the risks associated with over-reliance on AI tools.
- Applying AI tools to improve financial literacy and skills.
- Understanding how AI tools can be used to improve your personal trading and investment strategies.
- Practical application examples and exercises to deepen and consolidate the skills learned.
Best For
- Retail investors looking to leverage AI to process financial reports and market data faster.
- Tech-savvy traders interested in building and deploying custom automated trading bots.
- Financial enthusiasts who want to master prompt engineering to refine their investment research workflows.
- Day traders seeking to integrate LLMs into their risk management and decision-making processes.
Not For
- Individuals seeking 'get-rich-quick' schemes or guaranteed automated returns.
- Absolute beginners with no interest in learning basic programming or technical API integration.
- Traditional investors who prefer purely manual, fundamental analysis without the use of algorithmic tools.
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