1. Introduction to the Product/Course

How To Build High-Performing Trading Strategies With AI is an advanced, self-paced educational program created by veteran trader Larry Connors. Designed for both serious retail traders and professional investors, this course provides a step-by-step framework to leverage artificial intelligence for developing, validating, and executing high-performance trading strategies. The program emphasizes practical, actionable techniques over theoretical concepts, giving students the tools to build systematic, institution-grade trading strategies without the need for a coding background. It combines Connors’ decades of market experience with modern AI tools, allowing participants to replicate the workflows of professional traders and hedge funds.

The course spans over 31 hours of instructional content and includes more than 1,100 pages of materials. Students learn to integrate AI into every stage of trading strategy development, from idea generation to risk management and performance optimization. By using AI as a strategic partner, traders can discover patterns and market inefficiencies that would be difficult to identify manually. The curriculum also emphasizes a mindset shift, teaching students to approach the markets systematically, minimize emotional decision-making, and consistently extract alpha from various market conditions.

This course is particularly relevant in an era where AI has become a key differentiator in trading. Historically, access to sophisticated analytics and quantitative strategies was limited to hedge funds and institutional traders. Today, AI democratizes these capabilities, allowing individual traders to compete at a higher level. By adopting AI, traders can generate strategies faster, test them rigorously, and adjust them dynamically as market conditions evolve.

2. Goals of the Product/Course

The primary goal of this course is to empower traders to build reliable, repeatable, and high-performing trading strategies using AI tools. Unlike courses that teach generic trading methods, this program focuses on creating strategies that have been tested, optimized, and validated systematically. Participants are guided through the entire lifecycle of strategy development, learning how to generate ideas, evaluate effectiveness, and structure trades in a disciplined manner.

Key goals of the course include:

• Mastering AI-driven idea generation: Participants learn to use AI tools to generate new trading concepts, analyze historical data, and identify opportunities with higher probabilities of success.
• Building systematic frameworks: The course emphasizes rules-based, repeatable strategies that remove guesswork and emotional trading decisions.
• Eliminating underperforming strategies: Students are taught how to critically evaluate commonly used retail strategies and improve them or discard them to maintain efficiency and profitability.
• Incorporating thematic AI trading: AI is used to detect emerging market trends, thematic opportunities, and changes in market behavior, giving traders an early advantage.
• Enhancing psychological and behavioral discipline: The course integrates concepts of behavioral finance, teaching traders to manage risk and maintain discipline with AI-assisted analysis.

Ultimately, the course aims to transition participants from reactive retail trading to proactive, AI-assisted systematic trading. By achieving these goals, traders can compete effectively in modern markets, generate higher returns, and reduce the likelihood of common trading mistakes.

3. Content Overview or Modules Breakdown

Class One: Extracting Alpha Like a Professional

The first module introduces students to professional-grade trading concepts and the integration of AI into strategy development. Participants learn how markets function, how professionals identify inefficiencies, and how to use AI to enhance these processes. This module covers AI prompting techniques, trade structuring, and risk management principles, providing a foundation for building repeatable trading strategies.

• Professional insights: Understanding the differences between retail and professional trading strategies and what drives sustainable alpha.
• AI prompt engineering: Techniques to obtain actionable trading insights and strategy recommendations from AI tools.
• Behavioral finance integration: Using AI to identify psychological biases and improve decision-making in trading.

Class Two: Advanced AI Strategy Development and Thematic Trading

The second module delves deeper into constructing and refining systematic strategies using AI. Students learn to generate ideas, perform backtesting, validate models, and develop workflows that mirror institutional practices. AI is applied to identify both opportunities and weaknesses, enabling traders to focus on high-probability setups and eliminate suboptimal strategies.

• Strategy validation: Understanding why popular techniques often fail and how to improve them using AI analysis.
• Systematic AI frameworks: Developing repeatable methods for discovering, testing, and implementing trading strategies.
• Thematic AI trading: Leveraging AI to detect market trends and emerging sectors that provide trading opportunities before they become widely recognized.

Class Three: Institutional-Grade Strategy Creation

Module three focuses on sophisticated strategies employed by professional and institutional traders. Students are introduced to techniques such as mean reversion, probabilistic modeling, and portfolio-level strategy design. AI is used to optimize trade execution, identify optimal entry and exit points, and balance risk across trades.

• Hedge fund methodologies: Learning how professional traders develop and optimize systematic strategies for consistency and risk management.
• Mean reversion techniques: Applying AI to enhance classic strategies and identify profitable inefficiencies in the market.
• Advanced modeling: Utilizing AI to test, simulate, and refine complex strategies that can be scaled effectively.

Class Four: Advanced AI and Behavioral Trading Mastery

The final module integrates advanced AI techniques with behavioral trading insights. Participants explore how to quantify market psychology, optimize trade structuring, and apply AI-driven risk management. This module prepares traders to implement sophisticated strategies with confidence, ensuring that they can adapt to evolving market conditions and extract consistent alpha over time.

• Behavioral finance and psychology: Quantifying emotions such as fear and greed to improve timing and execution.
• Advanced trade execution: Using AI to optimize risk-reward outcomes and manage portfolio exposure efficiently.
• Future-ready strategies: Preparing for emerging technologies and next-generation AI applications in trading.

4. Benefits of the Product/Course

Students of this course gain multiple benefits that elevate their trading from standard retail approaches to professional, AI-enhanced performance. The course emphasizes practical skills that are immediately applicable to real-world trading environments.

• Professional AI strategy design: Learn to build systematic, repeatable strategies using AI that mirror institutional processes.
• Enhanced alpha generation: Identify high-probability trading opportunities and inefficiencies that traditional analysis might overlook.
• Behavioral and psychological discipline: Integrate AI with behavioral finance to reduce emotional trading and improve execution.
• Scalability and adaptability: Develop strategies that can be scaled across portfolios and adapted to changing market conditions.
• No coding required: Gain all these capabilities through AI prompting and workflows without programming skills.

5. Target Audience for the Product/Course

This course is ideal for experienced retail traders, professional traders, and portfolio managers who wish to integrate AI into their trading practices. It is particularly suited for individuals who are ready to move beyond discretionary trading and adopt systematic, data-driven methods.

• Experienced traders: Those seeking to advance from basic technical strategies to professional-grade systems.
• AI-curious professionals: Participants interested in applying AI to generate, test, and execute strategies.
• Capital managers: Individuals managing portfolios or client assets seeking repeatable, scalable performance.
• Competitive advantage seekers: Traders aiming to stay ahead in rapidly evolving markets by utilizing cutting-edge AI tools.

While beginners can benefit from this course, it is especially effective for those with a foundation in trading concepts who are willing to engage with AI-assisted frameworks and apply them in practice.

6. Conclusion with a Summary

In conclusion, How To Build High-Performing Trading Strategies With AI provides a comprehensive, structured, and actionable path for traders aiming to leverage AI for professional-level trading performance. Larry Connors combines decades of experience with modern AI techniques to teach participants how to discover, test, and execute trading strategies that are repeatable, scalable, and optimized for consistent alpha generation.

The program covers foundational principles of systematic trading, advanced AI-assisted strategy development, thematic trading opportunities, institutional-level approaches, and behavioral finance integration. Students learn to eliminate suboptimal strategies, refine execution, and develop workflows that can adapt to changing market conditions.

Benefits include professional-grade AI strategy creation, enhanced alpha potential, behavioral discipline, scalability, and the ability to compete with institutional traders. The course is suitable for experienced traders, professionals managing capital, and anyone seeking a strategic advantage in markets through AI-driven systems. By completing this course, participants gain the knowledge, confidence, and tools to operate as high-performing, AI-enhanced traders, equipped to navigate modern markets with precision and foresight. It represents a transformative opportunity for those committed to systematic, disciplined, and innovative trading practices.