Author
What is it? How To Build High-Performing Trading Strategies With AI is Larry Connors’ multi-session training on using artificial intelligence to develop, test, and refine quantitative trading strategies. It spans 24+ hours of instruction covering alpha extraction, AI-powered backtesting, strategy optimization, and building systematic approaches to trading stocks and ETFs.
TL;DR: A deep, multi-session program by veteran trader Larry Connors (40+ years, author of 25+ books) on integrating AI into quantitative trading. Covers building strategies from scratch, extracting alpha, backtesting with AI tools, and refining performance across markets. 24+ hours of content. Best for traders with some experience who want to add systematic, data-driven methods to their process.
Verified Deliverables:
- 24+ hours of video instruction across multiple sessions (MP4)
- Multiple 6-hour workshop recordings
- Strategy building frameworks and templates
- Backtesting methodology materials
- Delivery: Mega & Google Drive
- Lifetime access included
Why AI-Driven Trading Strategies Matter in 2026
Quantitative trading has shifted from being a hedge fund exclusive to something individual traders can access. AI tools now handle tasks that used to require a team of PhDs — pattern recognition across large datasets, backtesting thousands of parameter combinations, and identifying statistical edges that manual analysis misses. Larry Connors has been building rule-based strategies since the 1990s, and this program applies his decades of quantitative research to modern AI tools. For traders already comfortable with day trading fundamentals, this adds a systematic layer on top of discretionary skills.
What’s Inside
The training runs across multiple 6-hour sessions, totalling over 24 hours of instruction. The first sessions focus on extracting alpha — finding statistical edges in market data that most traders overlook. Connors explains how professional quantitative researchers identify patterns and what separates a real edge from noise. This includes mean reversion setups, the 2-period RSI model he pioneered, and newer AI-assisted discovery methods.
Later sessions cover AI-powered strategy building. You learn how to use AI tools to construct trading rules, test them against historical data, and measure performance metrics like win rate, drawdown, and Sharpe ratio. The emphasis is on building strategies that hold up under real market conditions, not just in backtests. If you also want to explore swing trading systems, combining both approaches gives you coverage across different timeframes.
The optimization and refinement modules address the common problem of overfitting — building strategies that work perfectly on past data but fail in live markets. Connors walks through the process of stress-testing strategies, adjusting parameters without curve-fitting, and building a portfolio of systems that perform across different market conditions. The final sessions cover implementation — how to move from theory to live trading with proper position sizing and risk management.
AI-Driven Strategy Building vs Manual Chart Analysis
| Feature | Manual Chart Analysis | AI Strategy Building (This Course) |
|---|---|---|
| Pattern Recognition | Limited to what the eye can see | Scans thousands of data points in seconds |
| Backtesting | Manual, time-intensive | Automated across years of market data |
| Emotional Bias | High — decisions influenced by fear/greed | Rule-based, removes emotional decisions |
| Strategy Validation | Subjective interpretation | Statistical verification with measurable metrics |
| Scalability | One chart at a time | Test across multiple markets simultaneously |
About the Creator
Larry Connors has been trading and researching financial markets for over 40 years, starting at Merrill Lynch in 1982. He is the founder of Connors Research LLC and TradingMarkets.com. He has authored or co-authored over 25 books on trading, including “Short Term Trading Strategies That Work” (4.0 rating, 200+ reviews on Goodreads) and “Street Smarts” with Linda Raschke, recognized as a trading classic. His research on the 2-period RSI and ConnorsRSI is widely used by professional and retail traders.
Who This Course Is For
- Active traders who want to add quantitative, AI-driven methods to their trading process
- Swing and position traders looking for systematic strategy-building frameworks
- Data-oriented traders interested in backtesting and optimization without overfitting
- Anyone with trading experience who wants to learn how AI tools can identify statistical edges
For more structured trading education, explore Trading courses and Day Trading programs.
Why get it here: Original price $1,995 — instant download at a fraction of the cost. If the link breaks, we replace it within 24 hours. 30-day money-back guarantee if files are corrupt.
Trading Strategies With AI FAQ
What is How To Build High-Performing Trading Strategies With AI?
It is Larry Connors’ multi-session training program (24+ hours) that teaches traders how to use artificial intelligence to develop, backtest, and optimize quantitative trading strategies for stocks and ETFs.
Is this the complete course?
Yes. All multi-session workshop recordings, strategy frameworks, and backtesting materials are included. Over 24 hours of video content.
Do I need programming experience?
The course focuses on applying AI tools to trading strategy development. Some familiarity with trading concepts is helpful, but deep programming knowledge is not required for the core material.
Who created this course?
Larry Connors, a trader with 40+ years of experience, founder of TradingMarkets.com and Connors Research. Author of 25+ books, including “Short Term Trading Strategies That Work.”
What is Larry Connors’ double seven strategy?
The Double 7 Strategy is one of Connors’ published mean-reversion systems. It buys when the S&P 500 closes at a 7-day low and sells at a 7-day high. This course covers the full range of AI-driven strategy building beyond any single system.
What if the download link doesn’t work?
Contact us and we’ll replace it within 24 hours.
Is there a refund policy?
Yes. 30-day money-back guarantee if files are corrupt or incomplete.
